Andrii-zvorygin Peak-oil Meeting Transcript — October 15, 2026
Hook: Municipal politics face energy limits requiring human adaptation and local action.
Andrii-zvorygin · Peak-oil · October 15, 2026
Summary
Whole Stream Summary The presentation connects municipal politics in southwestern Ontario with the Limits to Growth framework, highlighting how single-tier governance structures rely heavily on property taxes while facing revenue constraints and limited provincial funding. Speakers discuss various local responses to these pressures, including investments in energy efficiency and waste diversion initiatives, though they note that rising energy costs threaten to exacerbate heating poverty and strain existing infrastructure like wastewater plants and schools. The discussion also addresses challenges in shortening supply chains for local food systems due to regulatory hurdles and economic shifts toward large-scale operations, alongside debates over conflicting council opinions regarding natural gas expansion versus heat pumps. Participants propose converting waste into industrial assets and suggest that ordinary citizens may need to perform extraordinary actions as societal expectations adjust to a shrinking world driven by resource limits and external disruptions. The conversation explores how tightening fossil fuel supplies drive sectors toward coordinated software solutions that optimize resource use while humans handle physical tasks, noting that recent computing investments have yielded productivity gains despite current AI models still generating more false information than humans.
Top Newsworthy Developments
- Single-Tier Municipal Governance and Revenue Structure: The speaker explains that single-tier municipalities like the City of Brampton manage extensive services including roads, water, and social services with limited provincial funding. Property taxes and user fees constitute the majority of revenue, while grants are restricted to specific programmes like ambulance funding.
- Municipal Property Tax Policy and Limits to Growth: The speaker describes a 1972 MIT study on limits to growth and notes that property taxes can be seized if unpaid for two years.
- Municipal Infrastructure Strain from Climate Events: Speakers discuss how global disruptions like climate change and energy decline translate into local inflation, supply chain issues, and severe weather impacts on municipal services. One participant notes that population growth has strained local infrastructure, causing schools to overflow and wastewater plants to exceed capacity before construction even begins.
- Municipal Infrastructure Challenges and Resource Uncertainty: A participant discusses the uncertainty surrounding future resource limits and external factors like wars or tariffs that affect local infrastructure. Concerns are raised about premature failures in municipal water systems, the economic viability of wind turbines, and potential health impacts of fluoride and plastics on human fertility.
- Municipal Infrastructure Planning Challenges: A participant discusses conflicting council opinions on natural gas expansion versus heat pumps for municipal heating needs. Debates continue regarding 5G tower radiation safety and the necessity of indoor pools for an aging population despite climate concerns.
- Hardware Correction Makes Local Coding Affordable: The speaker explains that large AI labs consume 57 percent of global RAM production, causing prices to skyrocket for consumers. A potential hardware correction could liquidate server racks, doubling supply and dropping GPU prices from six and a half thousand to two and a half thousand dollars.
Key Topics & Sections
Meeting Details
- Jurisdiction
- Andrii-zvorygin
- Body
- Peak-oil
- Date
- October 15, 2026
- Transcript Status
- Machine transcription, lightly cleaned
- Official Source
- View official meeting page
- Agenda Page
- View agenda page
- Original Video
- View original meeting video
- Meeting Portal
- View eScribe meeting page
Related Discussion
HelpOS discussion thread link pending.
Transcript Notice
This transcript was generated automatically and may contain errors in wording, speaker identification, punctuation, or timestamps.
It is an unofficial convenience copy provided for reading and searchability.
For the official record, refer to the original source materials published by the relevant authority, including the official video, agenda, minutes, and meeting records.
Full Transcript
Municipal Politics Through Limits to Growth
The speaker introduces a presentation connecting municipal politics with the Limits to Growth framework while discussing local geography in southwestern Ontario. He highlights the region's valuable Class One and Two soils alongside environmental challenges like aggregate gravel and river moisture. The discussion notes proximity to major cities and the largest reserve in Canada, which influence local decision-making.
00:00:01 SPEAKER_UNKNOWN: Okay, greetings everybody in the Love and Light of the Infinite Creator.
00:00:04 SPEAKER_001: I'm Andrei Vorgan, joined here today with David Miller, Iver Laughing, Barbara Brown, and Simon Michaud.
00:00:10 SPEAKER_001: And David Miller will be giving us a presentation, and then Simon Michaud, did you want to give us a brief update before we get started?
00:00:20 SPEAKER_001: I can give a brief update.
00:00:22 SPEAKER_001: I got nothing to present.
00:00:23 SPEAKER_001: Okay.
00:00:25 SPEAKER_001: Okay.
00:00:25 SPEAKER_001: I put together a data analysis map of the Brexit, of the BRICS economies, and also what I think the new American faction's plan is.
00:00:38 SPEAKER_002: I've put something together for that, and which involves understanding the old American plan.
00:00:44 SPEAKER_002: Right.
00:00:44 SPEAKER_002: So that's the database stuff I put together.
00:00:48 SPEAKER_002: I presented parts of it to you before, but I'm close to closing the circle.
00:00:57 SPEAKER_002: Nice.
00:00:58 SPEAKER_002: I've just come out of the Warsaw Security Forum briefing forum, and that was surreal.
00:01:09 SPEAKER_002: It was a dog and pony show, and there is propaganda, there's programming, and then there's conditioning.
00:01:17 SPEAKER_002: This was conditioning, and the purpose of the conditioning was the two and a half thousand people present.
00:01:24 SPEAKER_002: They're all the cream of the crop of what I call the normies.
00:01:28 SPEAKER_002: Yeah, they're all the prime ministers and ministers of defence, yeah, and all the military guys.
00:01:34 SPEAKER_002: They're all there.
00:01:35 SPEAKER_002: That was to actually condition everyone to be on the same page and they're all drinking from the same bucket of Kool-Aid.
00:01:41 SPEAKER_002: Oh, I see.
00:01:42 SPEAKER_002: But piecing together information in the background, you go and talk to a few people.
00:01:48 SPEAKER_002: They were very careful what they were saying, but what they didn't say, and I, you can sort of piece together.
00:01:55 SPEAKER_002: I picked up on some very disruptive patterns.
00:02:00 SPEAKER_002: Now I've got to be careful.
00:02:02 SPEAKER_002: Well, a lot of stuff I was told that people don't want to be identified, so I am writing up my notes.
00:02:07 SPEAKER_002: But I've got to be careful.
00:02:08 SPEAKER_002: I've got to think about what I'm going to do with those notes.
00:02:10 SPEAKER_002: But I now have an understanding.
00:02:12 SPEAKER_002: Okay.
00:02:14 SPEAKER_002: Yeah.
00:02:15 SPEAKER_002: Thank you, Simon.
00:02:16 SPEAKER_002: That was a great update.
00:02:17 SPEAKER_001: So, David, would you like to introduce yourself now?
00:02:22 SPEAKER_001: And you got unmute.
00:02:25 SPEAKER_001: Yeah, you go.
00:02:26 SPEAKER_001: No, no, I got a bad mouse.
00:02:28 SPEAKER_001: Yeah, no, my name's Dave Miller, and yeah, living in Ontario, living in a county called the County of Brant, municipality.
00:02:36 SPEAKER_001: So, I will talk a little bit about my presentation, but I'm just concluding the 16-year run in municipal politics, and I did mention to Andrei, you know,
00:02:49 SPEAKER_001: Limits to Growth has influenced me as much as the Bible in my life, so I was going to share Limits to Growth, municipal politics, and kind of how I see that all fit together.
00:03:01 SPEAKER_001: So that's my presentation in a nutshell.
00:03:04 SPEAKER_003: And at some point I will mention Simon because he influenced a little bit of the work we're doing.
00:03:10 SPEAKER_003: So thank you.
00:03:12 SPEAKER_003: So you tell me when you're ready, Hunter.
00:03:14 SPEAKER_003: Go ahead, you can share.
00:03:15 SPEAKER_003: Okay.
00:03:16 SPEAKER_003: Now we've done this once or twice, so hopefully it'll work out this time.
00:03:21 SPEAKER_003: You tell me when it's up.
00:03:23 SPEAKER_003: Okay, so I see the PowerPoint now.
00:03:25 SPEAKER_003: Just go into presentation mode.
00:03:27 SPEAKER_003: Very good.
00:03:27 SPEAKER_003: Okay, we can see it.
00:03:28 SPEAKER_003: Okay, so yeah, titled "Municipal Government Through the Lens of Limits to Growth."
00:03:33 SPEAKER_003: And for me, when I'm presenting this, I cannot see anything but the presentation.
00:03:38 SPEAKER_003: So somebody has a question or clarification.
00:03:40 SPEAKER_003: So you just go through, Andrei, and just shout it out.
00:03:43 SPEAKER_003: So without further ado, I'll very briefly give you some context of Brant itself and about myself, and then it explains kind of why we do stuff, how we do stuff, sort of thing.
00:03:59 SPEAKER_003: So, I'm not assuming that everybody is familiar with Ontario per se, let alone the municipalities and some of the rules around it.
00:04:08 SPEAKER_003: But I think a lot of the lessons are applicable to a lot of local politics around the world.
00:04:12 SPEAKER_003: So here in the County of Brant, yeah, population just over forty thousand, and our population is spread evenly between the larger towns and the rural areas.
00:04:23 SPEAKER_003: Now we are in southwestern Ontario.
00:04:25 SPEAKER_003: I'll show you the map in a second.
00:04:26 SPEAKER_003: One hundred twenty-five kilometers west of Toronto, sixty kilometers west of Hamilton.
00:04:32 SPEAKER_003: And I point that out simply because, and I know what happens where you are, Andrei, in Owen Sound, Toronto.
00:04:39 SPEAKER_003: It doesn't matter how far away you are in Ontario; it influences you, right?
00:04:43 SPEAKER_003: And we also butt the largest reserve in Canada, called the Six Nations of the Grand River, largest in terms of population.
00:04:49 SPEAKER_003: So that also impacts what we do here as well.
00:04:53 SPEAKER_003: We're 843 square kilometers, so a fairly good-sized municipality, mostly rural, mostly farmland, and we have good soil here and good climate.
00:05:06 SPEAKER_003: And if you know anything about Canada and soils, you know that we do not have a lot of Class One and Two soils in Canada.
00:05:17 SPEAKER_003: It's something like seven percent is considered Class One and Two.
00:05:21 SPEAKER_003: But here in the County of Brant, the bulk of our soil is Class One, Class Two.
00:05:28 SPEAKER_003: So we do have good soils.
00:05:29 SPEAKER_003: Yeah, the good soils.
00:05:30 SPEAKER_003: The lower the number, the better.
00:05:32 SPEAKER_003: Yeah.
00:05:32 SPEAKER_003: And when you have good soil combined with climate, you should be protecting that a little more than we are.
00:05:39 SPEAKER_003: Lots of rivers, so yeah, lots of moisture, lots of water.
00:05:42 SPEAKER_003: Unfortunately, with those rivers, we also have lots of aggregate gravel, which can be a problem.
00:05:47 SPEAKER_003: And we also have a major provincial highway, which allows us easy access to the U.S. and to Toronto.
00:05:55 SPEAKER_003: So, looking at a map, here's Ontario, and oh yeah, my mouse does work.
Single-Tier Municipal Governance and Revenue Structure
The speaker explains that single-tier municipalities like the City of Brampton manage extensive services including roads, water, and social services with limited provincial funding. Property taxes and user fees constitute the majority of revenue, while grants are restricted to specific programmes like ambulance funding. Council operations require a majority vote for bylaws, and individual councillors hold no personal power under Ontario's strong-mayor system.
00:05:59 SPEAKER_003: So, there's a city here called the City of Brampton, and we actually here in the County of Brant surround that city.
00:06:06 SPEAKER_003: And that city has about 120,000 people.
00:06:11 SPEAKER_003: But yeah, there we are, nestled right in the Great Lakes area, and in like I said, super good climate, super good soil.
00:06:17 SPEAKER_003: So we're very—it's a great place to be.
00:06:19 SPEAKER_003: My grandparents immigrated from Europe, from Hungary, and they said this was so much like Hungary back then, back in the late '40s.
00:06:29 SPEAKER_003: So there's a map again.
00:06:31 SPEAKER_003: You see that city of Bramford?
00:06:32 SPEAKER_003: We surround that city.
00:06:34 SPEAKER_003: That's about 120,000.
00:06:34 SPEAKER_003: It does create a little bit of tension when they need to expand their borders, but we do deal with it.
00:06:42 SPEAKER_003: But as you can see, where basically villages and hamlets spread out throughout, and approximately half of our 40,000 people actually live in this town here called Paris or Saint George,
00:06:55 SPEAKER_003: and there's the Six Nations there.
00:06:58 SPEAKER_003: So, in terms of governing, we're what's called a single-tier municipality, and all that means is that we have to look after everything a big city does, and I use the example of Toronto.
00:07:10 SPEAKER_003: So when you look at the entire list of things that a single-tier municipality has to look after, it's phenomenal.
00:07:17 SPEAKER_003: I could only put down maybe a third of all the things when you get into it.
00:07:21 SPEAKER_003: But the big things are roads and bridges, drainage, water, wastewater, garbage collection, planning, social services, transit, emergency services, parks, cemeteries, arenas, trails, economic development.
00:07:34 SPEAKER_003: So the list is pretty extensive.
00:07:36 SPEAKER_003: Sometimes you wonder how we can do it, and I'll be honest with you.
00:07:40 SPEAKER_003: I've done it for a while, and I still wonder how we do it.
00:07:42 SPEAKER_003: Our budget for 2026 was 165 million dollars, all revenues.
00:07:49 SPEAKER_003: Just over half, 56%, come from property taxes.
00:07:52 SPEAKER_003: I call them regressive.
00:07:53 SPEAKER_003: I always have because it doesn't depend on your income.
00:07:56 SPEAKER_003: It's just how nice does the authority think your property is, and based on the value of that, that's what your property taxes are based on.
00:08:08 SPEAKER_003: So here in the County of Brant, the median property taxes for 2026 is forty-three hundred dollars.
00:08:16 SPEAKER_003: Go back a few decades, and you could buy a house for forty-three hundred dollars, and today that's what the property taxes are.
00:08:22 SPEAKER_003: Sixteen percent comes from user fees.
00:08:24 SPEAKER_003: The bulk of those user fees are for water, wastewater.
00:08:26 SPEAKER_003: So if you're using that infrastructure, you have to actually pay directly on top of your property taxes.
00:08:32 SPEAKER_003: So we're looking at just over seventy percent.
00:08:34 SPEAKER_003: actually comes from individuals, houses, residents, businesses.
00:08:39 SPEAKER_003: We do get some grants from the feds or from the province.
00:08:42 SPEAKER_003: Nine percent.
00:08:43 SPEAKER_003: The bulk of that money is targeted, so we have to use it for a specific programme.
00:08:48 SPEAKER_003: For example, they help fund our ambulances, so that money has to go towards ambulances.
00:08:56 SPEAKER_003: So that's how that works.
00:08:57 SPEAKER_003: Nineteen percent from other sources.
00:09:00 SPEAKER_003: It's a wide variety.
00:09:01 SPEAKER_003: We have some investments.
00:09:01 SPEAKER_003: We have some transfers.
00:09:02 SPEAKER_003: Investments.
00:09:02 SPEAKER_003: We have some transfers from reserves and like that.
00:09:04 SPEAKER_003: So that gets the nineteen percent.
00:09:06 SPEAKER_003: But what I think is important to point out for people that don't understand municipal politics is that nine—I would say ninety-five percent of what people use on a day-to-day basis is run by municipalities.
00:09:18 SPEAKER_003: So you get up in the morning, you take a walk on the sidewalks.
00:09:22 SPEAKER_003: You might put your garbage out.
00:09:25 SPEAKER_003: You take the roads, the street to work.
00:09:28 SPEAKER_003: You go under a bridge.
00:09:29 SPEAKER_003: You go over a bridge.
00:09:31 SPEAKER_003: Just, just you go.
00:09:33 SPEAKER_003: You go to a park.
00:09:35 SPEAKER_003: You go for a swim.
00:09:36 SPEAKER_003: It's just there's so much of what everybody sees on a day-to-day basis is run by a municipality.
00:09:43 SPEAKER_003: Maybe you drop your kids off at daycare; there's a municipality component to that.
00:09:47 SPEAKER_003: We're magicians.
00:09:50 SPEAKER_003: I think what we do with the taxes, because only ten to eleven percent of all taxes raised in Canada actually goes to municipalities, so we do a lot with it.
00:10:00 SPEAKER_003: But unfortunately, like I say, we don't get a lot of the taxes, so it is tough.
00:10:06 SPEAKER_003: We don't have a lot of wiggle room.
00:10:08 SPEAKER_003: Then our government itself: we have an odd number of people on council.
00:10:12 SPEAKER_003: Most councils should, so you don't have tie votes.
00:10:14 SPEAKER_003: So we're governed; there are eleven of us.
00:10:17 SPEAKER_003: There's the mayor and then ten councillors.
00:10:19 SPEAKER_003: We're divided up into five wards, and we have two elected representatives per ward, which is pretty good because if one is away, the other one can pick up any ward issues.
00:10:29 SPEAKER_003: Elections here in Ontario are every four years.
00:10:32 SPEAKER_003: We have one coming up, October 26.
00:10:34 SPEAKER_003: As some of you are well aware, I put in here: municipalities are creatures of the province and have very strict rules on which they can operate.
00:10:42 SPEAKER_003: What that means is that the province dictates the rules for municipalities.
00:10:46 SPEAKER_003: So you could be doing something the same way for years and years, and then one day out of the blue, the province just changes the rules, and we see that all the time.
00:10:54 SPEAKER_003: So we are very constrained; it's a constraint in terms of how we can operate.
00:11:00 SPEAKER_003: Not always a bad thing if you see some of the way municipalities operate.
00:11:04 SPEAKER_003: An individual councillor such as myself has actually, in actuality, has zero power.
00:11:10 SPEAKER_003: We have no powers at all.
00:11:13 SPEAKER_003: In well, you vote.
00:11:16 SPEAKER_003: Yeah, but well, okay, I vote yes, but that doesn't give me power.
00:11:20 SPEAKER_003: Where the power lies is with the majority of council.
00:11:22 SPEAKER_003: So you have to get the majority; in our case, six, to move things, to make things happen, to bring in bylaws.
00:11:29 SPEAKER_003: And only recently has the mayor gotten some powers through the strong-mayor powers in the province of Ontario.
00:11:35 SPEAKER_003: Now, what I've just told you: most people, including those running for council, know very little about municipal government.
00:11:44 SPEAKER_003: It's incredible.
00:11:45 SPEAKER_003: You know, we have an election going on, and people don't even know who's running.
Municipal Property Tax Policy and Limits to Growth
The speaker describes a 1972 MIT study on limits to growth and notes that property taxes can be seized if unpaid for two years.
00:11:49 SPEAKER_003: They don't know who the ward councillor is, and it's not a very well-known part of our society, and I say that's unfortunate because it can have some serious, serious repercussions.
00:12:00 SPEAKER_003: Try not paying your property taxes within two years; it's a two-year process.
00:12:05 SPEAKER_003: Your home, your farm, your business—whatever you're not paying property taxes on—can be seized and sold.
00:12:10 SPEAKER_003: So, very serious business.
00:12:12 SPEAKER_003: We do a lot, and not getting a lot of credit at the municipal level.
00:12:17 SPEAKER_003: So, and then I'll just again put myself in context, and then go from there because it kind of explains why I see what I see, and going from there.
00:12:30 SPEAKER_003: So, grew up in a farming background.
00:12:33 SPEAKER_003: Bachelor of Science in Ag Economics, which is actually a really good degree to have to really understand how a lot of the world works.
00:12:40 SPEAKER_003: Got my Bachelor of Education degree.
00:12:43 SPEAKER_003: I did spend a year in the military; learned a lot there.
00:12:46 SPEAKER_003: Worked for Agriculture Canada.
00:12:47 SPEAKER_003: I also taught high school for a couple years.
00:12:49 SPEAKER_003: I was involved with manufacturing, large-scale manufacturing, and I've been a small business owner.
00:12:55 SPEAKER_003: So, not your traditional career path, but it's certainly given me insight into a lot of how our world works.
00:13:03 SPEAKER_003: And in the last 17 years of my working career, which I've wrapped up already, I've been involved with energy conservation, building envelope and insulation specialist, and spent a lot of time with renewables.
00:13:15 SPEAKER_003: I got personally three sets of solar panels.
00:13:18 SPEAKER_003: I did try a hot water solar collector.
00:13:23 SPEAKER_003: Got a Tesla Powerwall.
00:13:25 SPEAKER_003: So a lot, a lot of experience in all that aspect.
00:13:28 SPEAKER_003: So, spent four terms, the last sixteen years on council, 2010 to 2026.
00:13:33 SPEAKER_003: That'll wrap up in exactly one month's time.
00:13:37 SPEAKER_003: I've been a lifelong resident of where I am, except for all those years I was in the military or away at university.
00:13:45 SPEAKER_003: Huge community booster.
00:13:46 SPEAKER_003: Have coached soccer.
00:13:46 SPEAKER_003: You know, coach soccer, you know, volunteered at the fair, helped out with the chicken barbecues, just hours and hours and hours, hundreds, thousands of hours of volunteer hours.
00:13:55 SPEAKER_003: So, I have given back hard and a lot, and people know that.
00:14:00 SPEAKER_003: So, I think that helped maybe explain why I was able to, you know, keep getting re-elected to council.
00:14:06 SPEAKER_003: It never hurts to be a huge community booster.
00:14:09 SPEAKER_003: And when I was coming into council back in 2010, this is where my mindset was: okay, I firmly believed that the 2008 global financial crisis was it.
00:14:20 SPEAKER_003: I thought it was civilizational collapse, and I use the example of a parking ticket.
00:14:25 SPEAKER_003: I got a parking ticket in the city of Branford, and I honestly thought I didn't even have to pay it because we're all going to collapse.
00:14:33 SPEAKER_003: Why bother?
00:14:34 SPEAKER_003: Oh my gosh!
00:14:35 SPEAKER_003: That's what.
00:14:36 SPEAKER_003: Anyways, that just shows you where my hat was.
00:14:39 SPEAKER_003: I did listen to Guy McPherson quite a bit.
00:14:41 SPEAKER_003: Actually met him in person.
00:14:42 SPEAKER_003: And if you listen to Guy, there's a lot of doom.
00:14:43 SPEAKER_003: Isn't the guy?
00:14:44 SPEAKER_003: There's a lot of doom porn out there.
00:14:45 SPEAKER_003: I think Guy was leading the way, but he had us all believe we'd all would have been dead by last year.
00:14:50 SPEAKER_003: We're going, you know, full-blown Mercury or Venus on here, and obviously that hasn't been the case.
00:14:57 SPEAKER_003: Not to say that there's not some merit in what he says, but yeah, you gotta take everything with a grain of salt.
00:15:03 SPEAKER_003: But that's all I'm saying is that was my headspace back then.
00:15:07 SPEAKER_003: And then as far as limits to growth go, I've known about it most of my whole life.
00:15:14 SPEAKER_003: And I will tell—I've told people—it's been a bigger influence on me than the Bible.
00:15:18 SPEAKER_003: It's just—it's a lens on everything I do: the car I buy, the house I buy, yeah, just everything I do.
00:15:25 SPEAKER_003: It's just—a lens on—and I can't change that.
00:15:29 SPEAKER_003: Once you know something, you know it; it's hard to undo.
00:15:33 SPEAKER_003: So, and Andrei, I know most of your audience probably knows this.
00:15:36 SPEAKER_003: I'll be very brief on this: limits to growth.
00:15:40 SPEAKER_003: Again, but having said that, well, I'll explain later because I'm all shocked at people that don't know it.
00:15:46 SPEAKER_003: But anyway, a 1972 system dynamics out of MIT study looking at the increasing population and resource consumption of our planet, and which you know now we're exceeding the Earth's carrying capacity.
00:15:59 SPEAKER_003: And according to Google's AI, we're at 1.73 times the Earth's carrying capacity in 2026.
00:16:06 SPEAKER_003: And this overreach, overreliance, overutilization is leading to increased pollution, which the earth can't absorb at a proper rate.
00:16:15 SPEAKER_003: Falling industrial food production and falling, followed by falling population.
00:16:19 SPEAKER_003: I put in there the end of population growth.
00:16:23 SPEAKER_003: I'm just finishing up that book by Ugo Bardi.
00:16:25 SPEAKER_003: If you don't, if you've never read Ugo, make sure you get to a bookstore or library.
00:16:29 SPEAKER_003: He's just a fantastic, fantastic.
00:16:32 SPEAKER_003: We've had him on the show.
00:16:33 SPEAKER_003: Okay, okay, great, great.
00:16:34 SPEAKER_003: Yeah, yeah, from Italy, Italian professor.
00:16:36 SPEAKER_003: Yes.
00:16:38 SPEAKER_003: Just, I just wanted to mention this too.
00:16:39 SPEAKER_003: I listened to Dennis Meadows' interview.
00:16:41 SPEAKER_003: That was about 20 years ago, and you know, they did this study.
00:16:45 SPEAKER_003: They found out, oh my gosh, look at the path; it's unsustainable.
00:16:49 SPEAKER_003: We're going to face a civilizational collapse.
00:16:52 SPEAKER_003: And he said at the time they were like, oh, okay, well now we know.
00:16:57 SPEAKER_003: He says all we have to do is present this information to our political leaders, and they're going to take care of it.
00:17:02 SPEAKER_003: They honestly believe that.
00:17:04 SPEAKER_003: That's, I guess maybe a little bit in you, and of course, you know, history shows that they were vociferously attacked for coming up with these conclusions.
00:17:13 SPEAKER_003: But the studies that have come out since that 1972 study, there's been various.
00:17:20 SPEAKER_003: Some have confirmed that.
00:17:21 SPEAKER_003: Yeah, we're basically on the business-as-usual approach.
00:17:24 SPEAKER_003: And there's a Gaya Harrison.
00:17:25 SPEAKER_003: Not sure if you know her.
00:17:26 SPEAKER_003: She's from Holland.
00:17:28 SPEAKER_003: She has a book out as well.
00:17:30 SPEAKER_003: But she just did the latest study.
00:17:32 SPEAKER_003: I believe early this year, 2026.
00:17:35 SPEAKER_003: And yeah, we're basically on track for business as usual.
00:17:38 SPEAKER_003: And she says we might even be a little bit further along.
00:17:42 SPEAKER_003: So that's where we are.
00:17:44 SPEAKER_003: Oops, how do I go back?
00:17:46 SPEAKER_003: One.
Municipal Infrastructure Strain from Climate Events
Speakers discuss how global disruptions like climate change and energy decline translate into local inflation, supply chain issues, and severe weather impacts on municipal services. One participant notes that population growth has strained local infrastructure, causing schools to overflow and wastewater plants to exceed capacity before construction even begins. Data from the Insurance Bureau of Canada indicates a rise in catastrophic weather events causing over $25 million in losses annually, while another speaker attributes half of U.S. Gulf Coast flood damage to free insurance encouraging risky construction.
00:17:49 SPEAKER_003: So, what does limits to growth look like?
00:17:51 SPEAKER_003: Okay, globally, again, shouldn't be a surprise to many people.
00:17:55 SPEAKER_003: Obviously, it's changing climate patterns and disruptions, increased military conflict, protectionism, increased migration, more disease, and larger famines.
00:18:03 SPEAKER_003: Serious economic disruptions, institutional failure, as EROI or energy return on energy invested falls, and we're seeing it.
00:18:13 SPEAKER_003: We're living through it, right?
00:18:14 SPEAKER_003: May you live in interesting times.
00:18:16 SPEAKER_003: What does that look like at the municipal level, at the local level?
00:18:19 SPEAKER_003: We're seeing that through.
00:18:21 SPEAKER_003: And I find this for a lot of things.
00:18:24 SPEAKER_003: What, when they talk about economic problems, it translates into inflation for us, right?
00:18:29 SPEAKER_003: You're the food story.
00:18:30 SPEAKER_003: Everybody knows that higher diesel, higher gas prices, higher heating.
00:18:35 SPEAKER_003: Everything goes through inflation, almost, or stagflation, which is the worst because you've lost your job or your hours are reduced, but the prices are still going up.
00:18:43 SPEAKER_003: Supply chain disruptions.
00:18:45 SPEAKER_003: COVID was a really good precursor to that.
00:18:49 SPEAKER_003: Locally, I don't know how you guys are doing in Ontario, but I know here we've had a tremendous amount of population growth come.
00:18:55 SPEAKER_003: A lot of it from the GTA, which has seen a huge influx of out-migration.
00:18:59 SPEAKER_003: Right.
00:19:00 SPEAKER_003: Migration rate to Canada, and that translates into a massive strain on our local services.
00:19:07 SPEAKER_003: So, health, obviously, emergency rooms at hospitals, people without doctors, social services.
00:19:13 SPEAKER_003: You see it there a lot.
00:19:16 SPEAKER_003: I was on the social services committee.
00:19:18 SPEAKER_003: We watched the graphs go up.
00:19:19 SPEAKER_003: You know, number of homeless shelters, number of people.
00:19:22 SPEAKER_003: I guess the word is unhoused.
00:19:24 SPEAKER_003: And we're not the only one experiencing it, but everybody else is as well.
00:19:28 SPEAKER_003: Obviously, the police are kept busy.
00:19:30 SPEAKER_003: Education.
00:19:31 SPEAKER_003: There are portals everywhere because they don't have room.
00:19:34 SPEAKER_003: The schools are bursting at the seams.
00:19:36 SPEAKER_003: Water, wastewater.
00:19:37 SPEAKER_003: We just don't have enough infrastructure.
00:19:40 SPEAKER_003: One of our towns, we spent 20 years trying to get a wastewater treatment plant and a new water treatment plant, and that water treatment plant capacity has already been exceeded,
00:19:53 SPEAKER_003: and it hasn't even been built yet.
00:19:54 SPEAKER_003: So, wow.
00:19:56 SPEAKER_003: And again, more severe weather.
00:19:56 SPEAKER_003: And more severe weather, many municipalities, and you can Google this.
00:20:02 SPEAKER_003: But I talk to municipal leaders all the time.
00:20:04 SPEAKER_003: Have declared weather-related states of emergency over the last several years.
00:20:08 SPEAKER_003: And of course here in Canada, we get a lot of ice and snow and wind.
00:20:13 SPEAKER_003: Right, wind will come along.
00:20:14 SPEAKER_003: It'll be a hundred kilometers an hour, and it'll take out our power grid.
00:20:17 SPEAKER_003: Right, right.
00:20:18 SPEAKER_003: This number of power outages.
00:20:20 SPEAKER_003: And of course, rain.
00:20:21 SPEAKER_003: Rain has been a huge one.
00:20:24 SPEAKER_003: So there's a photo of Oriole, which is in Ontario municipality, I was talking to one of their councillors.
00:20:32 SPEAKER_003: In 2025, they had to declare a snow emergency because they got something like you know a metre of snow over three or four days.
00:20:41 SPEAKER_003: I don't have the picture of their road where it was just like this, where they had to carve along Highway 11 just so you know people can get in and out.
00:20:50 SPEAKER_003: Not good for emergency services if you're having a heart attack, right?
00:20:53 SPEAKER_003: So this picture is actually from Highway 20.
00:20:53 SPEAKER_003: This picture is actually from Highway 21, which I believe travels along Lake Huron, but that's what it looked like.
00:21:00 SPEAKER_003: Just this massive amount of snow had to be carved out so people could get around.
00:21:06 SPEAKER_003: And the weather-related events aren't anecdotal; they exist.
00:21:11 SPEAKER_003: And this is from the Insurance Bureau of Canada.
00:21:14 SPEAKER_003: They showed this at one of our municipal conferences, and they've adjusted for inflation, so everything is based on 2008 prices.
00:21:23 SPEAKER_003: And what they did is they said, well, how many weather-related events have caused $25 million or more in losses, just weather-related, right, across Canada?
00:21:33 SPEAKER_003: And you look at the 1983 to 1990 period.
00:21:35 SPEAKER_003: In that period, there was about 15.
00:21:38 SPEAKER_003: Right?
00:21:38 SPEAKER_003: Going to the next period, that's doubled, right?
00:21:42 SPEAKER_003: 30. 1991 to 2000.
00:21:44 SPEAKER_003: Then you go to the next time frame, 2001 to 2010.
00:21:50 SPEAKER_003: Again, it looks like it's gone up significantly.
00:21:53 SPEAKER_003: And then you go to 2011 to 2018, and they were up to measuring 80 large catastrophic weather events in Canada per year,
00:22:02 SPEAKER_003: and that is defined as $25 million dollars in losses based on 2008 prices.
00:22:08 SPEAKER_003: So I don't have the latest one, but from my friend there I talked to, he says it's just gone up.
00:22:14 SPEAKER_003: So not just something that we're noticing; it is a fact.
00:22:18 SPEAKER_003: So something to be aware of.
00:22:20 SPEAKER_003: Barbara, you have a question.
00:22:22 SPEAKER_003: Actually, I have a comment on that from the Gulf Coast.
00:22:25 SPEAKER_003: Ours looks even worse than that, as far as damage.
00:22:31 SPEAKER_009: But it turns out that at least half of that is because the U.S.
00:22:38 SPEAKER_009: has free flood insurance, essentially free flood insurance for McMansions along the coast and very expensive infrastructure down in flood plains.
00:22:49 SPEAKER_009: And so people are building in places where no sane person would build.
00:22:55 SPEAKER_009: You know, it's one thing when I built it in 1940 in a floodplain, right?
00:23:00 SPEAKER_009: But they're building in places that no sane municipality would allow building, and so at least half of that along the Gulf Coast, U.S., is simply from municipalities, state counties,
00:23:17 SPEAKER_009: and cities allowing massive building of very expensive facilities in areas that were already known to be sensitive to wind and floods.
00:23:31 SPEAKER_009: Dave, did you have a comment on that?
00:23:33 SPEAKER_009: Just yeah.
00:23:34 SPEAKER_003: To Barbara's point, she's talking about the U.S. And my understanding is because we're looking at some flooding in Texas, and basically, when the hurricane came in, the waves just swept over Texas.
00:23:46 SPEAKER_003: so far inland because it was all flat.
Municipal Responses to Rising Energy Costs and Heating Poverty
The speaker notes that municipal officials often lack awareness of limits to growth concepts despite severe weather impacts. Local governments have invested heavily in solar and insulation, though a planned hydroelectric project failed after a political change. Rising heating costs are expected to double for some citizens, leading to anticipated increases in energy poverty.
00:23:49 SPEAKER_003: And talking to some planners, and I know the planning system isn't quite maybe as rigorous in the U.S. And here in Canada, we have flood plains and whatnot, like hazard lands.
00:23:59 SPEAKER_003: Hazard lands, and I sit on this conservation authority for the Grand River, and they have jurisdiction over that.
00:24:06 SPEAKER_003: And they do not allow building in those areas.
00:24:08 SPEAKER_003: We have a very good understanding of what's a hazard land in Canada, and we do not allow building in those areas.
00:24:15 SPEAKER_003: Yeah, yeah.
00:24:15 SPEAKER_003: Control a little bit better here.
00:24:18 SPEAKER_009: Yeah, it's a U.S. problem where the developers basically often control the municipalities.
00:24:25 SPEAKER_009: Yeah.
00:24:26 SPEAKER_009: Well, very bad situation.
00:24:29 SPEAKER_003: They control a little more in Ontario than I would like, but yeah, like I said, I'm pretty sure it's a little more rigorous as far as where you can build in Canada.
00:24:39 SPEAKER_003: Okay, so I'll go on.
00:24:39 SPEAKER_003: But anyways, yeah, just wanted to say that was a really good graph, and it just puts light on the fact that the weather is getting more severe.
00:24:51 SPEAKER_003: So if I look at the County of Brant's response to limits to growth, good news, bad news story.
00:24:59 SPEAKER_003: The bad news, in like I said at the beginning, I think most of Andrei's audience understands limits to growth.
00:25:10 SPEAKER_003: It's not common knowledge for most people.
00:25:14 SPEAKER_003: I asked our CAO.
00:25:16 SPEAKER_003: He's a chief administrative officer, very bright guy.
00:25:19 SPEAKER_003: Though the CAO in municipalities is the top employee.
00:25:23 SPEAKER_003: Right, everybody else reports to him or her.
00:25:27 SPEAKER_003: He never heard of it, and he's my age.
00:25:29 SPEAKER_003: Right.
00:25:30 SPEAKER_003: Our senior environmental manager, a young lady, very bright, very smart.
00:25:34 SPEAKER_003: You know, went to university.
00:25:35 SPEAKER_003: Obviously, she's responsible for our water, wastewater, waste, and all that.
00:25:41 SPEAKER_003: Never heard of it.
00:25:42 SPEAKER_003: So, if these people haven't heard of it, a lot of the councillors haven't heard of it.
00:25:47 SPEAKER_003: It's obviously very difficult to develop a coordinated response.
00:25:50 SPEAKER_003: So, but again, the bad news, good news.
00:25:53 SPEAKER_003: Good news is people do see; people do recognize when there's a problem.
00:25:59 SPEAKER_003: They may not know what's causing the problem, but they do tend to respond to emergent issues as best they see fit.
00:26:07 SPEAKER_003: And then I say, but this does produce a piecemeal response, which I'll kind of talk a bit about in a second.
00:26:13 SPEAKER_003: Ideally, though, we would.
00:26:15 SPEAKER_003: This was my slogan of all my campaigns, but I will say we should think globally, act locally.
00:26:21 SPEAKER_003: And for limits to growth, we really should be coordinating across all departments in order to be as sustainable and resilient as we can be, right, for our residents.
00:26:28 SPEAKER_003: So, for sure, that's the idea.
00:26:31 SPEAKER_003: Obviously, to get there, you need a lot more education, a lot more people on board.
00:26:37 SPEAKER_003: And I'm just going to go over a few of the things that we have done.
00:26:40 SPEAKER_003: And this, keep in mind, like I said, we're not looking through the lens of limits to growth, but we are looking through the lens of what we see problems.
00:26:47 SPEAKER_003: You know, energy is one.
00:26:49 SPEAKER_003: We know energy is getting expensive.
00:26:52 SPEAKER_003: So in Brant, we've done heavy investment in solar.
00:26:55 SPEAKER_003: In fact, we probably, I know for a fact, we've invested more per capita in solar than anywhere else in Canada.
00:27:04 SPEAKER_003: We've retrofitted all our existing municipal buildings for insulation, right?
00:27:08 SPEAKER_003: Makes sense.
00:27:09 SPEAKER_003: We've done preliminary work on a six hundred kilowatt low-level hydroelectric dam.
00:27:14 SPEAKER_003: Now keep in mind, hydroelectric.
00:27:17 SPEAKER_003: I don't know.
00:27:17 SPEAKER_003: Maybe there's a cleaner energy source out there.
00:27:19 SPEAKER_003: I don't know, but I think that's got to be the best because it's just beautiful base load there all the time, night, day, winter, summer.
00:27:26 SPEAKER_003: It's always there, right?
00:27:27 SPEAKER_003: Six hundred kilowatts.
00:27:29 SPEAKER_003: We did have a contract signed with the provincial government in 2018.
00:27:33 SPEAKER_003: They got elected, booted by the electors.
00:27:35 SPEAKER_003: The conservatives come in, and they tore up all those contracts.
00:27:39 SPEAKER_003: So, unfortunately, that never did happen.
00:27:43 SPEAKER_003: I do hope it happens.
00:27:45 SPEAKER_003: So, we are supporting the expansion of natural gas.
00:27:49 SPEAKER_003: Natural gas is not a municipal responsibility, but we can do things to try and encourage it.
00:27:55 SPEAKER_003: Natural gas is the cheapest way to heat your house right now.
00:27:59 SPEAKER_003: We have a lot of our citizens not on natural gas.
00:28:02 SPEAKER_003: They are on propane.
00:28:04 SPEAKER_003: They are on electric heat.
00:28:05 SPEAKER_003: They are on heating oil.
00:28:09 SPEAKER_003: Heating oil is basically the same thing as diesel.
00:28:11 SPEAKER_003: So the price from last winter to this winter, they're going to see their costs of heating their house double.
00:28:19 SPEAKER_003: And I think we're going to see a lot of energy poverty.
Municipal Energy Efficiency and Waste Management
The speaker outlines municipal initiatives including EV charging stations, energy-efficient arena equipment, and upgraded street lights to reduce consumption. They describe a shift from fixed-route transit to an on-demand SUV system for spread-out communities and note landfill capacity extends until 2070 while staff divert waste. The discussion concludes with plans to reuse construction materials and the intention to prevent landfilling solar panels in the future.
00:28:21 SPEAKER_003: You know, throw that in with you know the price they have to pay for their own gas, right, to drive around, or food prices.
00:28:28 SPEAKER_003: Then coming in with high, you know, you try and eat.
00:28:31 SPEAKER_003: Yeah, you try.
00:28:31 SPEAKER_003: You don't want high property taxes increasing every year, so yeah.
00:28:35 SPEAKER_003: So we have been supporting that: EV charging stations at all new builds.
00:28:38 SPEAKER_003: That wasn't something that was taken for granted not that long ago.
00:28:42 SPEAKER_003: Arena equipment upgrades.
00:28:43 SPEAKER_003: Arenas use a tremendous amount of equipment, right?
00:28:47 SPEAKER_003: Energy, sorry, to run that equipment to keep the chillers going, to keep the ice there, and so we do.
00:28:54 SPEAKER_003: We've upgraded the equipment, right, and make sure it's energy efficient.
00:28:56 SPEAKER_003: All street lights have been upgraded.
00:28:58 SPEAKER_003: This was done several years ago.
00:28:59 SPEAKER_003: Obviously, little hanging fruit.
00:29:02 SPEAKER_003: We are very supportive with roundabouts.
00:29:05 SPEAKER_003: We actually have quite a few roundabouts for traffic.
00:29:09 SPEAKER_003: They show obviously they use a lot less, save us a lot of gas or diesel, right?
00:29:14 SPEAKER_003: For traffic, so keeps the traffic moving.
00:29:16 SPEAKER_003: I'm a big supporter of it.
00:29:18 SPEAKER_003: I just don't like them too close together.
00:29:20 SPEAKER_003: Our landfill: we haven't done it yet, but we will have future methane capture there.
00:29:26 SPEAKER_003: Water, wastewater systems—we got some serious upgrades, and for those are brand new ones.
00:29:31 SPEAKER_003: And for those ones, we are using the most efficient equipment going.
00:29:35 SPEAKER_003: Water, wastewater systems—another tremendous, tremendous user of energy.
00:29:41 SPEAKER_003: Climate—we declared a climate emergency.
00:29:43 SPEAKER_003: I put a couple question marks there simply because I'm not sure if that was the smartest thing to do.
00:29:48 SPEAKER_003: I don't think we're in a climate emergency.
00:29:50 SPEAKER_003: I think climate emergency—I think the climate is a symptom of a much larger problem.
00:29:55 SPEAKER_003: That being us living beyond the carrying capacity of the Earth, which causes obviously climate problems, but a few others.
00:30:04 SPEAKER_003: So, anyways, that's what we did here.
00:30:05 SPEAKER_003: I know a lot of other municipalities did as well.
00:30:09 SPEAKER_003: For climate, we're striving for thirty percent forest recovery in all our settlement areas.
00:30:15 SPEAKER_003: We're encouraging new infrastructure to go beyond the minimum requirements, especially drainage.
00:30:19 SPEAKER_003: And here in the province of Ontario, you have to build for what they call the hundred-year storm, which for us was Hurricane Hazel back in 1954,
00:30:30 SPEAKER_003: but we're finding that the 100-year storm is coming probably every once every 10 years.
00:30:36 SPEAKER_003: It might even be coming ever more frequently.
00:30:38 SPEAKER_003: So that's what we're doing that, and we're maintaining the work-from-home model that came about from COVID, so employees don't have to drive into work.
00:30:48 SPEAKER_003: They still have to come in two or three days a week, depending.
00:30:52 SPEAKER_003: Some of these employees: Brandon's a good example.
00:30:52 SPEAKER_003: I mean, this at least, Branton's a good example.
00:30:54 SPEAKER_003: He said, "No, all employees have to come in every day, all the time."
00:30:57 SPEAKER_003: I'm thinking, "Well, why?
00:30:58 SPEAKER_003: If they're getting the work done, let them work from home."
00:31:01 SPEAKER_003: And we declared ourselves a B-friendly community.
00:31:04 SPEAKER_003: It's not a big deal, but in this scheme of things, we're trying, right?
00:31:08 SPEAKER_003: Just showing them.
00:31:10 SPEAKER_003: And there's an example of a community building we built just outside Brantford, a little hamlet called Canesville, and that thing is actually net energy positive, so it's very well insulated.
00:31:21 SPEAKER_003: Everything's efficient; uses a lot less energy than it produces, so those solar panels will put out more energy than that building we use on an annual basis.
00:31:30 SPEAKER_003: So you drive around the county, but you'll see a lot of those going.
00:31:39 SPEAKER_003: And then a few other areas of municipal concern, as far as positive steps go, I think in the right direction.
00:31:47 SPEAKER_003: Planning, planning, and as Barbara and I just talked about: we are pretty robust here in our planning.
00:31:55 SPEAKER_003: We have a well-thought-out official plan, and that gives strong protection for agricultural and natural heritage lands.
00:32:03 SPEAKER_003: So yeah, you can build on those, but you got some hoops to go through if you're going to do it, and you better have a good reason.
00:32:10 SPEAKER_003: We are focusing on better interconnectivity, but within towns and trying to work between towns; we do have some multi-use trails, but that's such a long-term project.
00:32:21 SPEAKER_003: It's a lot of money, and yeah, when you're doing things like that, you just need to keep your foot on the gas and never look back.
00:32:27 SPEAKER_003: Transit: as I showed the map earlier, we're a bunch of villages, a bunch of hamlets spread out, and it didn't make sense to have a fixed route system.
00:32:38 SPEAKER_003: Think of a city bus, a smaller city bus travelling this fixed route, and two people are on it or three people are on it.
00:32:45 SPEAKER_003: So, transit was something that was my baby.
00:32:49 SPEAKER_003: We copied it from a municipality called Innisfil, which is the other side of Toronto.
00:32:53 SPEAKER_003: They have a very similar municipality.
00:32:56 SPEAKER_003: That's as far as towns spread out and whatnot.
00:32:58 SPEAKER_003: And that's what they had.
00:32:59 SPEAKER_003: So somebody needs a ride, they call up.
00:33:02 SPEAKER_003: They'll go pick them up.
00:33:03 SPEAKER_003: Usually it's an SUV, and then if there's other people along the way that need a ride, they go pick them up.
00:33:11 SPEAKER_003: So it's a perfect note, but it's not a bad compromise for us, right?
00:33:18 SPEAKER_003: For our waste, we have lots of landfill capacity here in the County of Brant.
00:33:25 SPEAKER_003: Probably, I think, till 2070.
00:33:27 SPEAKER_003: In the province, province-wide, we only have between ten and fifteen years left as a province.
00:33:32 SPEAKER_003: So, not quite sure what the provincial plan is for waste going forward within the next decade.
00:33:39 SPEAKER_003: And even though we do have lots of landfill capacity, we have a fantastic couple staff there—a couple staff there that are constantly working to divert waste from the landfill.
00:33:48 SPEAKER_003: So construction material, right?
00:33:50 SPEAKER_003: That takes up all kinds of space.
00:33:52 SPEAKER_003: Well, we found a company in Woodstock that will take it; so we got paid for the cost of shipping, but that beats landfilling it.
00:33:59 SPEAKER_003: And they use it; they reuse it.
00:34:02 SPEAKER_003: Solar panels: that's unfortunately, if a solar panel showed up at our landfill today, October 15th, 2026, it would be landfilled.
00:34:13 SPEAKER_003: I said that's not right.
Local Food Systems and Supply Chain Shortening
Speakers discuss the challenges of shortening supply chains due to high fuel prices and a lack of local farmers markets. They suggest that voluntary shifts toward local food may require economic necessity rather than choice. The conversation also covers waste management, repair initiatives, and community gardens as potential solutions.
00:34:17 SPEAKER_003: So it's not just a County of Brant issue; it's across because they're tough to break down, right?
00:34:25 SPEAKER_003: To get the stuff out of them.
00:34:26 SPEAKER_003: But there's a lot of good stuff in those solar panels, and that's what Simon got me thinking about:
00:34:33 SPEAKER_003: that he talks about how kind of short on copper and silver and a few other things we're going to be, well, electrify everything.
00:34:40 SPEAKER_003: Well, we're going to need obviously those metals as well as a few others.
00:34:45 SPEAKER_003: So I know, and we're going to see this wave coming.
00:34:49 SPEAKER_003: My solar panels are 17 years old, and I can see the decreased production.
00:34:54 SPEAKER_003: They do stop working well after you know 20 years.
00:35:00 SPEAKER_003: Mine didn't even make it that long.
00:35:01 SPEAKER_003: So we're going to see a wave coming.
00:35:04 SPEAKER_003: We just got to make sure we don't landfill them and all the good things that are there.
00:35:10 SPEAKER_003: And then, as far as waste goes, we'll have an organic programme coming in the early 2030s.
00:35:14 SPEAKER_003: Big municipalities have them right now.
00:35:17 SPEAKER_003: Smaller municipalities don't have to; they got to reach a certain size.
00:35:20 SPEAKER_003: So, and I will talk a bit about organics later.
00:35:23 SPEAKER_003: And then financials: of course, everything comes down to financials.
00:35:26 SPEAKER_003: We do have a long-term financial plan that kind of guides us for all major investment infrastructure projects.
00:35:33 SPEAKER_003: Because we've got to make sure we're not doing it all in the same year, and we spread it out.
00:35:37 SPEAKER_003: I put ceteris paribus, which is Latin for all else being equal, because it's like everything.
00:35:43 SPEAKER_003: Yeah, you got a good plan, and you're going to go with it.
00:35:47 SPEAKER_003: But who knows what comes up?
00:35:48 SPEAKER_003: A war in Iran, COVID, whatnot, right?
00:35:52 SPEAKER_003: So just assuming everything stays the same.
00:35:55 SPEAKER_003: So that's like I say: at the end of the day, okay, we're not looking at it through a limits to growth lens,
00:36:04 SPEAKER_003: but I think we made a lot of positive steps in the right direction.
00:36:10 SPEAKER_003: Could we do more?
00:36:11 SPEAKER_003: Of course, you can always do more.
00:36:13 SPEAKER_003: And I throw in a bunch of things.
00:36:15 SPEAKER_003: Some of these, maybe they're not municipal responsibility, but the municipalities with proper staff could certainly make it easier.
00:36:23 SPEAKER_003: You could get volunteer groups to do it.
00:36:26 SPEAKER_003: I just throw some things out.
00:36:28 SPEAKER_003: There's obviously lots out there.
00:36:29 SPEAKER_003: Repair cafes: you know, you throw things out.
00:36:32 SPEAKER_003: You have somebody fixing that old coffee pot that broke down.
00:36:39 SPEAKER_003: We really, really need some good teaching kitchens to demonstrate low-cost healthy meal prep.
00:36:44 SPEAKER_003: You know, people talk about the price of food.
00:36:46 SPEAKER_003: Well, beans and rice goes a long way towards cutting down that food bill.
00:36:50 SPEAKER_003: And food storage for seeds and produce.
00:36:53 SPEAKER_003: A gleaner programme: they grow broccoli right beside me, and I'm always amazed at how much is left over once the Mexicans are done.
00:37:01 SPEAKER_003: More community gardens, composting, increased local purchase.
00:37:03 SPEAKER_003: Increase local purchases, shortening supply chains, local currency, local investment—lots, lots more.
00:37:08 SPEAKER_003: I put lots, lots more.
00:37:09 SPEAKER_003: I think, as far as housing, Andre has some very good suggestions in his mayoral run.
00:37:16 SPEAKER_003: So, thank you.
00:37:17 SPEAKER_003: Also, I'm saying is I think there's a lot more we could be doing.
00:37:23 SPEAKER_003: Barbara has a question.
00:37:24 SPEAKER_003: Yeah, yeah.
00:37:25 SPEAKER_003: A question on your local food.
00:37:29 SPEAKER_009: I was horrified to see the statistic that Iowa, which also has a lot of Class One and Class Two farmland, as we do here across the border in Wisconsin,
00:37:44 SPEAKER_009: only actually has 10 percent of their food that people eat grown locally, which was sort of a horrifying number.
00:37:54 SPEAKER_009: Yeah, and they're doing some major efforts to get seasonal local food into the local food chain instead of shipping stuff off, some of it even abroad to come back as processed food.
00:38:15 SPEAKER_009: What does it look like where you are?
00:38:19 SPEAKER_003: Yeah, it's unfortunately it all comes down to price at the end of the day.
00:38:24 SPEAKER_003: Like, and there's obviously been various initiatives, you know, the 100 Mile Diet.
00:38:28 SPEAKER_003: And it's frustrating to see that because yeah, we do.
00:38:34 SPEAKER_003: As I started at the beginning, we have great soil, we have great climate.
00:38:36 SPEAKER_003: We grow a lot of food here.
00:38:38 SPEAKER_003: How do we get people to do that?
00:38:40 SPEAKER_003: It would be nice if we could approach that voluntarily, like get our ducks in a row and do that.
00:38:46 SPEAKER_003: When growing up, a lot of our food was from here.
00:38:49 SPEAKER_003: Like you go to the grocery store, you bought local apples.
00:38:52 SPEAKER_003: We used to grow raspberries on the side, and yeah, we'd take them to the local food store and give them there.
00:38:58 SPEAKER_003: Unfortunately, I don't know if that's going to come about voluntarily.
00:39:02 SPEAKER_003: I think it will come.
00:39:03 SPEAKER_003: I just think it'll take you know very very high diesel prices and gas prices to get us there, right?
00:39:10 SPEAKER_003: So because like I said, I've seen all these initiatives come forward, haven't been super successful, but I think as time goes on, yeah, we're going to see more things support local food.
00:39:22 SPEAKER_003: We have in the county, we don't even have a farmers market, right?
00:39:26 SPEAKER_003: Wow.
00:39:26 SPEAKER_003: To go to the big city.
00:39:27 SPEAKER_003: Oh, that is pathetic.
00:39:29 SPEAKER_003: Yeah.
00:39:29 SPEAKER_003: Well, to be fair, there are farmers' markets in the area.
00:39:32 SPEAKER_003: We just don't have any in the municipality, right?
00:39:35 SPEAKER_003: But I think as time goes on, we'll see more of that.
00:39:39 SPEAKER_003: Not out of choice, but by necessity.
00:39:42 SPEAKER_003: That's how I see it.
00:39:43 SPEAKER_003: Anyways, Simon, we're having a lot of that.
00:39:46 SPEAKER_009: The other thing that we are noticing is that when I was a kid, you know, we don't talk about how long ago.
00:40:02 SPEAKER_009: Longer than you, no doubt.
Local Food Processing Capacity Challenges
Speakers discuss the decline of local butcher shops and cheese factories due to economic pressures favouring large operations. Regulations are noted as a major problem that makes it difficult for small producers to comply with legislation. The conversation also covers sewage management in cold climates, including innovative heating systems used in Finland.
00:40:05 SPEAKER_009: We had a lot of local food processing.
00:40:08 SPEAKER_009: We had butcher shops.
00:40:10 SPEAKER_009: Yes.
00:40:11 SPEAKER_009: We had yeah, and cheese factories.
00:40:13 SPEAKER_009: I mean, there was a cheese factory every ten, twenty miles, and they're all gone, and everything gets carted off to big operations.
00:40:25 SPEAKER_009: Yeah.
00:40:26 SPEAKER_009: And so during COVID, we had a problem.
00:40:29 SPEAKER_009: This is a dairy area.
00:40:31 SPEAKER_009: We had plenty of dairy, and there was no way to get it processed.
00:40:41 SPEAKER_009: There was no way to get cheese processed.
00:40:45 SPEAKER_009: And so there's also a thought that one of the big holes right now is local food processing capacity.
00:40:54 SPEAKER_009: There's a few initiatives around here to get some of the local kitchens more set up to do it, like on an emergency basis.
00:41:06 SPEAKER_009: Yeah, some of them have big freezers and stuff to have, you know.
00:41:10 SPEAKER_009: Yeah, and we all can't set it up and pop it in the freezer because we can't send it anywhere.
00:41:17 SPEAKER_009: That kind of thing.
00:41:19 SPEAKER_009: So it's something to keep in mind.
00:41:21 SPEAKER_009: I'll just say real quickly too.
00:41:23 SPEAKER_003: As far as local food and whatnot.
00:41:27 SPEAKER_003: There's been some strong economic forces that have pushed everything to become bigger and bigger, right?
00:41:33 SPEAKER_003: Because they want to cut costs.
00:41:35 SPEAKER_003: They want to increase that profit margin by a penny per unit or two pennies per unit, and it's forced out a lot of the local butcher shops and the local cheese makers.
00:41:46 SPEAKER_003: So we've seen those kind of fall by the wayside because they haven't been able to keep up, right?
00:41:51 SPEAKER_003: So they're not profitable.
00:41:52 SPEAKER_003: People don't shop there, and they just go buy at our local bakery or go buy at Sobeys, right?
00:41:57 SPEAKER_003: The big grocery to get your bread.
00:41:59 SPEAKER_003: So we've seen that being pushed, and then we see those guys try and enforce, or they do.
00:42:06 SPEAKER_003: They get legislators to pass these rules that say, well, you got to do this, and you got to do that.
00:42:10 SPEAKER_003: So you see all these rules that make it very hard for a local person on their own to do those because they have to comply with all this legislation.
00:42:16 SPEAKER_003: Have to comply with all this legislation, so there has been a push to kind of get us to go towards these bigger operations.
00:42:23 SPEAKER_003: But like I say, I honestly believe we will be going back to more local and more small.
00:42:29 SPEAKER_003: Just my thoughts.
00:42:30 SPEAKER_009: Regulations here are a major problem.
00:42:33 SPEAKER_009: Yeah, they're geared towards somebody who's big.
00:42:36 SPEAKER_001: Let's let Simon have a word in here.
00:42:39 SPEAKER_001: Okay.
00:42:40 SPEAKER_001: Okay.
00:42:42 SPEAKER_001: Simon, you got unmute.
00:42:43 SPEAKER_001: It's all good, guys.
00:42:46 SPEAKER_001: The value of these discussions, these podcasts, is the discussion.
00:42:50 SPEAKER_002: And as I like to say, never plan an act of violence; let it happen naturally.
00:42:55 SPEAKER_002: Fuck yourself out.
00:42:57 SPEAKER_002: Hang on, let me get rid of that hand.
00:42:59 SPEAKER_002: David, excellent work in the face of difficulty and adversity.
00:43:04 SPEAKER_002: It's been really, really hard for everyone I talk to to try and put these ideas on the ground while the old system still works.
00:43:12 SPEAKER_002: Yeah, no one wants to hear about it, and it's exhausting.
00:43:15 SPEAKER_002: And the longer things can keep going, and there's still food in the supermarket, you know, the more it's a river in Egypt.
00:43:25 SPEAKER_002: Let's just say that the Nile.
00:43:30 SPEAKER_002: Yeah.
00:43:30 SPEAKER_002: Anyway, my question is this: How did you handle sewage in a cold climate?
00:43:36 SPEAKER_002: Sewage?
00:43:37 SPEAKER_002: Yeah.
00:43:38 SPEAKER_002: Or did you handle sewage?
00:43:41 SPEAKER_002: I know.
00:43:42 SPEAKER_003: You know, in today's society, I don't know how they handled in the past, right?
00:43:47 SPEAKER_003: Yeah.
00:43:48 SPEAKER_003: How are you planning to do it?
00:43:50 SPEAKER_003: Yeah, that's a good one.
00:43:51 SPEAKER_003: I mean, I live obviously.
00:43:53 SPEAKER_003: I live in a cold climate.
00:44:00 SPEAKER_003: I have a septic system, right?
00:44:02 SPEAKER_003: So it's underground.
00:44:03 SPEAKER_003: Never freezes, right?
00:44:04 SPEAKER_003: Never freezes.
00:44:06 SPEAKER_003: So I have a storage tank, and then I have weeping tiles, and it flows out to the soil to spread out, and then the solids are pumped out.
00:44:15 SPEAKER_003: You know, depend on the size of your tank.
00:44:16 SPEAKER_003: Once every two years, that's how we're doing it now.
00:44:19 SPEAKER_003: I don't see it changing.
00:44:21 SPEAKER_003: You know, even though it's cold, I know for the big cities that stuff never freezes, right?
00:44:27 SPEAKER_003: Because it's in pipes; it's always given off heat and through organic breakdown.
00:44:32 SPEAKER_003: So, not sure where you're going with that.
00:44:36 SPEAKER_002: Okay, so I saw a couple of pictures where you had metres of snow, and I thought, oh,
00:44:39 SPEAKER_002: see here in Finland they've got a real problem because it's below zero for like you know four or five months of the year.
00:44:46 SPEAKER_002: Yeah, and so they've got this very clever engineering system where they'll have heating pipes coming in wrapped around or with the sewage pipes going out and the drinking water going in.
00:45:00 SPEAKER_002: Okay, and it's really quite innovative and synergistic.
00:45:05 SPEAKER_002: The reason I asked is since we spoke, Andri, I invaded Thailand.
00:45:10 SPEAKER_002: Okay.
00:45:11 SPEAKER_002: I decided Thailand was now my personal sandbox, and I engaged in industrial reform for the entire nation state to apply the purple transition.
00:45:19 SPEAKER_002: Okay.
00:45:20 SPEAKER_002: Ah.
00:45:23 SPEAKER_002: Um.
00:45:24 SPEAKER_002: So, I suppose I could present the results of that at some point.
00:45:28 SPEAKER_002: What I found, though, was some very interesting things.
00:45:32 SPEAKER_002: Like some of the problems could be turned into solutions, and sewage was one of them.
00:45:37 SPEAKER_002: So you've got, you know, several tens of millions of people in a small area.
00:45:42 SPEAKER_002: What do you do with all the sewage?
00:45:44 SPEAKER_002: And with the old adage, there's money in shit.
00:45:47 SPEAKER_002: So what I did was I put it into a pyrolysis plant and converted to syngas and a series of organic liquids out and char outputs.
Turning Waste Problems into Industrial Assets
One participant explains how a specific process converted liquid and solid waste into organic fertilizer while using gas to recycle iron powder for industrial heat. Another speaker notes that this approach only accounted for two percent of the Thailand cement industry but successfully moved a problem from a liability column to an asset column. The discussion then shifts to municipal constraints in Ontario, where provincial rules dictate population growth and planning timelines favour developers.
00:46:01 SPEAKER_002: The liquid and solids went off to organic fertilizer, but the gas was then used to recycle iron powder, and that iron powder was then used to deliver high-end heat to industry.
00:46:17 SPEAKER_002: It didn't.
00:46:18 SPEAKER_002: It only accounted for like two percent of the Thailand cement industry.
00:46:22 SPEAKER_002: So it didn't solve any problems as such.
00:46:24 SPEAKER_002: But we were able to.
00:46:26 SPEAKER_002: I was able to take a problem and take it off the board and turn it from the problem column into the asset column.
00:46:32 SPEAKER_002: And uh, David, you're...
00:46:33 SPEAKER_002: David, your work was what you described.
00:46:37 SPEAKER_002: There was not just a plan; it's what you were doing.
00:46:40 SPEAKER_002: That's some damn good stuff there.
00:46:43 SPEAKER_002: My compliments.
00:46:44 SPEAKER_002: Thank you.
00:46:45 SPEAKER_009: You're not having a problem with the PFAS in the waste?
00:46:49 SPEAKER_009: The U.S. has tried that and destroyed some good farmland.
00:46:57 SPEAKER_001: Well, I just wanted to mention about that.
00:47:00 SPEAKER_001: I agree with David about the regulation, especially for meat processors; is one of the main reasons why we don't have small meat processors.
00:47:09 SPEAKER_001: It costs like one hundred fifty thousand dollars or something, and to set one up, or more.
00:47:16 SPEAKER_001: And so I actually had emailed the council of the federation or Team Canada, you know, the prime minister and the premiers about it on like Agriculture Day,
00:47:28 SPEAKER_001: and it was one of the few responses where they actually responded to me and said that we're looking into this intensely.
00:47:49 SPEAKER_001: Yeah, so that was nice.
00:47:52 SPEAKER_001: Iver.
00:47:55 SPEAKER_001: Oh, oh, and just one more thing about the sewage.
00:47:59 SPEAKER_001: So, at least in Grey County, we have different options as well.
00:48:05 SPEAKER_001: Not just septic, but there's also compost toilets, and those can be cheaper.
00:48:11 SPEAKER_001: Okay, go ahead, Iver.
00:48:12 SPEAKER_001: Well, I was on the Conservation Commission for about 20 years in my town, and we did two comprehensive plans.
00:48:20 SPEAKER_001: And on the first one, most of the farms were commodity farms.
00:48:24 SPEAKER_001: In other words, they sold their milk wholesale or whatever it was.
00:48:26 SPEAKER_018: Sale or whatever it was, wholesale to big processors, and then the second one, which was 10 years later, most farms marketed locally to the local farmers market, which got bigger and bigger.
00:48:41 SPEAKER_018: And the farmers market is really a great thing to have in the town.
00:48:44 SPEAKER_018: That kind of created it all, and we even had a local cheesery win a world prize in Switzerland for their ricotta cheese.
00:48:52 SPEAKER_018: So, you know, best in the world.
00:48:54 SPEAKER_018: So, I think it just gets it going, and that was all because some people really got the farmers' market going.
00:49:02 SPEAKER_018: The farmers' market took off, and a lot of people are able to make a living selling, you know, retail, not wholesale.
00:49:12 SPEAKER_018: Yeah.
00:49:12 SPEAKER_018: Okay.
00:49:16 SPEAKER_018: Okay.
00:49:17 SPEAKER_001: David, was that the end of your presentation, or you got more?
00:49:20 SPEAKER_001: A couple more.
00:49:21 SPEAKER_001: We're almost done.
00:49:22 SPEAKER_003: I'll just say that in Maine, I think, in the U.S., you get a little bit more entrepreneurial spirit,
00:49:28 SPEAKER_003: and maybe not quite the hand of government over your windpipes as we do here in Canada because it's hard, you know, to start businesses.
00:49:39 SPEAKER_003: And just on large-scale sewage here in Canada, here in Ontario, anyways, I know I'm sure it's the same across Canada.
00:49:46 SPEAKER_003: We do a little bit of processing on the waste, not too much, because we have to put the water back into the river, so we do clean it up fairly well.
00:49:54 SPEAKER_003: The solids we de-water it.
00:49:56 SPEAKER_003: There's a little bit of processing after that.
00:49:58 SPEAKER_003: Dry it out and it's spread on fields.
00:50:00 SPEAKER_003: So it is a resource.
00:50:02 SPEAKER_003: At the same time, we have to be careful because we can't put it on the fields too frequently because of the heavy metals in it.
00:50:09 SPEAKER_003: So I just want to make that note.
00:50:12 SPEAKER_003: So I'll just continue.
00:50:13 SPEAKER_003: Got a couple more slides here.
00:50:15 SPEAKER_003: Okay.
00:50:16 SPEAKER_003: So like I say, there's a lot we can do.
00:50:18 SPEAKER_003: Why don't we?
00:50:20 SPEAKER_003: Well, there's a few.
00:50:21 SPEAKER_003: I'm not making excuses, but these are realities.
00:50:24 SPEAKER_003: Again, I go back to the ignorance of the limits to growth, and I find so many people just assume the future will be like the past, and it's not.
00:50:36 SPEAKER_003: I know the next twenty years are going to be vastly different than the past twenty years.
00:50:40 SPEAKER_003: I guarantee.
00:50:40 SPEAKER_003: I would bet serious money on that.
00:50:43 SPEAKER_003: As mentioned before, municipalities in Ontario are subject to provincial rules, so we don't even determine our population growth.
00:50:53 SPEAKER_003: It's the provinces that do that.
00:50:55 SPEAKER_003: So they said to us, "You're going to have fifty-nine thousand people by 2051, at a minimum."
00:51:01 SPEAKER_003: We're already probably well on our way in terms of planned housing.
00:51:05 SPEAKER_003: The province tells us where we can put our money, where we can invest.
00:51:09 SPEAKER_003: Most of it is interest-bearing instruments, which is unfortunate because you know they were pretty low for a while.
00:51:18 SPEAKER_003: They've got a lot; the province has a lot of control over how we do our planning, and I just mentioned here planning rules, and this kind of goes back to what Barbara said earlier,
00:51:27 SPEAKER_003: favour development.
00:51:29 SPEAKER_003: So we have strict timelines to hear these applications.
00:51:32 SPEAKER_003: So a developer comes forward says I want to build a subdivision here, and you have sixty days to respond.
00:51:40 SPEAKER_003: And if you don't, we're going to appeal this, and they appeal it to the what's called this OLT or Ontario Land Tribunal,
00:51:47 SPEAKER_003: which the University of Western Ontario did a study and found out of all their rulings, just over ninety-two percent were ruled in favour of developers.
00:51:56 SPEAKER_003: So, anyway, so we're constructed that way.
Municipal Infrastructure Challenges and Resource Uncertainty
A participant discusses the uncertainty surrounding future resource limits and external factors like wars or tariffs that affect local infrastructure. Concerns are raised about premature failures in municipal water systems, the economic viability of wind turbines, and potential health impacts of fluoride and plastics on human fertility.
00:51:59 SPEAKER_003: I just put in there, you know, when you look at the good farmland with good soil in a good climate, I hate to lose any land,
00:52:08 SPEAKER_003: and we've lost at least a thousand acres to gravel pits since 2010, since I started on council.
00:52:14 SPEAKER_003: So, when they talk about loss of farmland, I see it, and it's just precious little we can do about it.
00:52:21 SPEAKER_003: I also think there's a lot of uncertainty about well, what does the future hold?
00:52:25 SPEAKER_003: Even for people who know about limits to growth, what exactly does collapse look like, and when's it going to happen?
00:52:31 SPEAKER_003: What's it look like if you knew it's going to happen in 2028, this is going to happen June 1st, you'd probably take a few more concrete steps.
00:52:39 SPEAKER_003: But it could be just simply a gradual decline, right?
00:52:42 SPEAKER_003: A process over decades.
00:52:45 SPEAKER_003: It could be a sudden event.
00:52:47 SPEAKER_003: You know, one day some planes hit the twin towers, and our world suddenly changed, right?
00:52:53 SPEAKER_003: Or it could be a stair-step downwards.
00:52:55 SPEAKER_003: So you see a rapid decline, and then we plateau for a while, and then another rapid decline, and like human health as we age.
00:53:03 SPEAKER_003: So much of what happens is also beyond our control.
00:53:06 SPEAKER_003: You know, wars leading to higher energy costs, inflation.
00:53:09 SPEAKER_003: Trump putting on tariffs on Canadian things.
00:53:12 SPEAKER_003: We got mass migration.
00:53:15 SPEAKER_003: It's tough to control, and we have lousy leaders.
00:53:18 SPEAKER_003: Most countries do.
00:53:19 SPEAKER_003: I'm sorry.
00:53:20 SPEAKER_003: That's just how I see it.
00:53:22 SPEAKER_003: Why don't we?
00:53:24 SPEAKER_003: Well, keep in mind we are smaller government, and we have to be cautious, right?
00:53:29 SPEAKER_003: As decisions around infrastructure can last for decades, and we can't afford to be wrong.
00:53:34 SPEAKER_003: So we have limited dollars to work with.
00:53:36 SPEAKER_003: I put in brackets Calgary water pipes.
00:53:38 SPEAKER_003: Calgary had a new system for water pipes—they were made differently.
00:53:44 SPEAKER_003: I believe they're wrapped in concrete or things like that.
00:53:47 SPEAKER_003: They're supposed to last really long.
00:53:48 SPEAKER_003: Well, they didn't.
00:53:49 SPEAKER_003: They had premature failure, and Calgary paid through the nose for them.
00:53:54 SPEAKER_003: So, got to be very cautious.
00:53:56 SPEAKER_003: There's a reason we're cautious, right?
00:53:59 SPEAKER_003: In municipal councils, you see that you might have ten people or eleven people, and it's funny, like they all kind of maybe think the same way.
00:54:09 SPEAKER_003: Yeah, I don't know if it's because they read the same reports and hear from the same staff and hear the same answers to the same questions, but there's this group thing that takes over,
00:54:18 SPEAKER_003: and you come along with a radical new idea, makes sense, and you gotta really know how to sell it.
00:54:25 SPEAKER_003: I did that transit bringing it in, you know, shared ride service.
00:54:28 SPEAKER_003: It took me four years, four years, and I knew what I was doing.
00:54:31 SPEAKER_003: I had people I was working with.
00:54:32 SPEAKER_003: It took me four years to get it.
00:54:34 SPEAKER_003: Group thing takes over, and then maybe, just maybe, the human situation self-corrects over time because we're seeing a massive drop in fertility.
00:54:44 SPEAKER_003: Right?
00:54:44 SPEAKER_003: You look at sperm fertility; it's just, it's literally collapsing.
00:54:49 SPEAKER_003: Right?
00:54:49 SPEAKER_003: You look at the numbers.
00:54:50 SPEAKER_003: So, what's causing that?
00:54:52 SPEAKER_003: We don't know.
00:54:52 SPEAKER_003: We have atrazine, possibly.
00:54:55 SPEAKER_003: We got these forever chemicals there in our water, here in my local town.
00:54:59 SPEAKER_003: Plastics everywhere.
00:55:00 SPEAKER_003: We all got the equivalent of I don't know.
00:55:03 SPEAKER_003: Somebody said like a teaspoon of plastics in our body, in our brain.
00:55:06 SPEAKER_003: Everybody's getting.
00:55:07 SPEAKER_003: There's so many vaccines we don't know the effect of how they interact with each other.
00:55:12 SPEAKER_003: It's never been studied.
00:55:14 SPEAKER_003: Climate change could be part of it.
00:55:18 SPEAKER_003: Lack of affordable housing is another.
00:55:20 SPEAKER_003: Well, that's the economic portion of it, and I didn't put that in there.
00:55:24 SPEAKER_003: But just getting back to fertility, we may see it correct itself before we crash to zero.
00:55:28 SPEAKER_003: Now, when we get to the ideal amount is two point five billion, like we could operate sustainably.
00:55:35 SPEAKER_003: It's possible.
00:55:36 SPEAKER_003: It self-corrects.
00:55:37 SPEAKER_003: And at the same time, keep in mind we do not have perfect information.
00:55:42 SPEAKER_003: Right?
00:55:42 SPEAKER_003: We always are working with imperfect information.
00:55:45 SPEAKER_003: You know, we're in the information age, and there's so much that's just not good.
00:55:50 SPEAKER_003: So, interestingly enough, people wanting the same goal, and we can sit around.
00:55:54 SPEAKER_003: We all want what's best.
00:55:55 SPEAKER_003: And you can have completely opposing views on the same topic.
00:55:58 SPEAKER_003: And I just threw seven up on a page, right?
00:56:01 SPEAKER_003: In this group here, just in the chat, we could have a vigorous debate and come out, you know, half for one and half the other, right?
00:56:10 SPEAKER_003: So I just threw out seven there, but these are real-world examples of issues that we faced here at our municipality, and I know others were right.
00:56:19 SPEAKER_003: Wind turbines, of course, we're going to put up wind turbines.
00:56:23 SPEAKER_003: It's a clean source of energy, and then I felt well.
00:56:26 SPEAKER_003: People have told me who oppose them.
00:56:28 SPEAKER_003: They said, well, they create infrasound so long waves, not ultrasound.
00:56:35 SPEAKER_003: And apparently, I don't know this for sure.
00:56:39 SPEAKER_003: They say it's damaging to our human organs.
00:56:42 SPEAKER_003: Could be, I don't know.
00:56:42 SPEAKER_003: We do know they kill birds and bats.
00:56:44 SPEAKER_003: I know an engineer who's worked on wind turbines in Australia for 20 years, and he says those things do not make money, right?
00:56:54 SPEAKER_003: Because they just break down too much.
00:56:56 SPEAKER_003: So he'll swear by it.
00:56:57 SPEAKER_003: He'll gladly talk a year off on that issue.
00:57:00 SPEAKER_003: They also need a large amount of capital, and they use up valuable agriculture land.
00:57:05 SPEAKER_003: So, yeah, I could support wind turbines if I looked at everything through a climate change lens.
00:57:10 SPEAKER_003: But then, if you think about other things, you could come down on either side.
00:57:14 SPEAKER_003: Interesting, because I'm sure everybody here agrees that climate change needs to be fixed, right?
00:57:18 SPEAKER_003: We need to do something about it.
00:57:20 SPEAKER_003: Fluoride in drinking water.
00:57:22 SPEAKER_003: We put fluoride in the Paris town.
00:57:25 SPEAKER_003: The town of Paris is drinking water, but then I find out well, it's actually a neurotoxin.
00:57:31 SPEAKER_003: There was a couple studies that came out and said, well, it lowers IQ, not by a lot, but enough to measure.
00:57:36 SPEAKER_003: And that's yeah.
00:57:37 SPEAKER_003: Whoa.
00:57:38 SPEAKER_003: So anyway, but the dental society and our public health agency, they'll tell you fluoride, fluoride, fluoride.
00:57:45 SPEAKER_003: Not sure I need fluoridated water to have a shower in or to wash my car in, but that's what they say.
00:57:51 SPEAKER_003: And then organic pickup.
00:57:53 SPEAKER_003: You know, of course we should be picking it up.
00:57:55 SPEAKER_003: It extends the landfill.
00:57:57 SPEAKER_003: It recycles nutrients.
Municipal Infrastructure Planning Challenges
A participant discusses conflicting council opinions on natural gas expansion versus heat pumps for municipal heating needs. Debates continue regarding 5G tower radiation safety and the necessity of indoor pools for an aging population despite climate concerns. The discussion concludes with observations that modern families require dual incomes due to rising costs, contrasting sharply with past economic stability.
00:57:58 SPEAKER_003: But then you think, well, those trucks use a lot of diesel going up and down the roads, right?
00:58:03 SPEAKER_003: So, hey, you could argue both ways.
00:58:05 SPEAKER_003: I think what we're going to do eventually is just stick to the built-up areas and maybe not do garbage every other week.
00:58:12 SPEAKER_003: Because if you're not putting organics in your garbage, then you can at least, you know, you can go an extra week.
00:58:17 SPEAKER_003: So, there's that natural gas expansion, which I talked about earlier.
00:58:21 SPEAKER_003: I firmly believe it, but I have others on council who say, no, no, no, climate change.
00:58:24 SPEAKER_003: Don't know climate change, and I don't want any natural gas expansion because you're just going to use stranded assets, and they should go with a heat pump.
00:58:33 SPEAKER_003: And I say, yeah, but they need to be heated now, and our grid is not so stable, or our electrical grid fails a lot.
00:58:40 SPEAKER_003: So we could argue that, right?
00:58:42 SPEAKER_003: And we all want the same thing: battery storage.
00:58:44 SPEAKER_003: Well, if we're going to go to an electrified system, we need battery storage.
00:58:47 SPEAKER_003: I have a couple on council who say, yeah, but if those things catch fire, they got chemicals leaking into the water table.
00:58:52 SPEAKER_003: Five G towers.
00:58:55 SPEAKER_003: I thought that was a no-brainer.
00:58:57 SPEAKER_003: You know, everybody's using more data.
00:59:00 SPEAKER_003: We need to make our 911 emergency calls, the police and fire and all that good stuff.
00:59:06 SPEAKER_003: And then we had a group present that our council said, no, no, we don't want these 5G towers because the radiation creates all kinds of problems.
00:59:14 SPEAKER_003: Yeah.
00:59:14 SPEAKER_003: I don't know.
00:59:15 SPEAKER_003: I do.
00:59:15 SPEAKER_003: We just go by what Health Canada says.
00:59:17 SPEAKER_003: Health Canada says it's just a small amount of radiation.
00:59:20 SPEAKER_003: I'm told no, it's the type of radiation.
00:59:22 SPEAKER_003: But anyways, and then an indoor pool, right?
00:59:25 SPEAKER_003: From a climate limits to growth lens, no, no, no, no, right?
00:59:31 SPEAKER_003: Huge energy chemical user, but guess what?
00:59:34 SPEAKER_003: We're an aging population.
00:59:35 SPEAKER_003: A lot of seniors really like an indoor pool.
00:59:38 SPEAKER_003: We do have an outdoor pool, but that's only three months of the year.
00:59:41 SPEAKER_003: And there's a lot of people that want to learn how to swim so they don't drown.
00:59:44 SPEAKER_003: So, what is the right answer locally?
00:59:47 SPEAKER_003: And I just throw those semantic issues because we've seen those here.
00:59:49 SPEAKER_003: We've debated those here, and I think every one of us here would agree that we want the same thing, but we just aren't quite sure how to get there, right?
00:59:58 SPEAKER_003: So, say, Andrew, you could take any one of those and just we just talk about it for an hour.
01:00:04 SPEAKER_001: Yeah, yeah, I know Barbara did a presentation on the wind turbines.
01:00:08 SPEAKER_001: Okay, there you go.
01:00:09 SPEAKER_001: Just a couple months ago.
01:00:10 SPEAKER_001: Yeah.
01:00:11 SPEAKER_001: All right.
01:00:11 SPEAKER_001: So.
01:00:12 SPEAKER_001: And the infrasound is real.
01:00:14 SPEAKER_001: We're measuring it.
01:00:15 SPEAKER_001: Okay.
01:00:15 SPEAKER_001: Okay.
01:00:17 SPEAKER_001: Yeah, and that's that's what I've heard.
01:00:18 SPEAKER_001: And again, I don't know much about it.
01:00:20 SPEAKER_001: That's it.
01:00:20 SPEAKER_001: I just know what I heard, right?
01:00:21 SPEAKER_003: So, just letting you know, we did say no to wind turbines.
01:00:25 SPEAKER_003: So, lessons learned.
01:00:27 SPEAKER_003: Just to sum it up, I know a lot, but I'm certain of almost nothing, right?
01:00:34 SPEAKER_003: And look at everybody else, right?
01:00:36 SPEAKER_003: A lot of these peak oil experts thought the price of oil would be two hundred dollars if you closed the Strait of Hormuz for six months, and it's at a hundred dollars.
01:00:43 SPEAKER_003: So, there might be reasons for it, but I'm just saying that you don't know for sure a lot of things, right?
01:00:51 SPEAKER_003: But I am trying to connect the dots.
01:00:53 SPEAKER_003: I do know that death and taxes are will happen.
01:00:57 SPEAKER_003: And reading Mike Maloney's and that stuff, all fiat money dies, right?
01:01:03 SPEAKER_003: They looked at five thousand different fiats over the centuries in different countries, and every single one of them died.
01:01:09 SPEAKER_003: So we know that.
01:01:10 SPEAKER_003: We know the climate is getting warmer.
01:01:12 SPEAKER_003: Growing up, fifty years ago, I lived on a tobacco farm.
01:01:15 SPEAKER_003: Very sensitive to frost, and if you didn't have that tobacco off by the first week of September, you're running the risk of losing what you have out there to frost.
01:01:25 SPEAKER_003: First week of September.
01:01:26 SPEAKER_003: Now, we it takes till late October to get a killing frost around here.
01:01:32 SPEAKER_003: So just in fifty years, my time, I've seen it extend like the growing season extended a full month.
01:01:38 SPEAKER_003: Right, so the climate is getting warmer.
01:01:40 SPEAKER_003: Going, and I know Simon deals with a lot of these people, but those at the highest levels of government are sadly at best no smarter than us.
01:01:49 SPEAKER_003: So, as a municipal councillor, you tend to go to a lot of the same functions, right?
01:01:55 SPEAKER_003: Celebrations, whatnot, or you have delegations with your MPs and MPPs.
01:02:01 SPEAKER_003: God, you just at some point in my life, I know I thought these guys were smarter than us, or the people, the top people in business.
01:02:08 SPEAKER_003: Then you get talking, you realize it's just not the case, right?
01:02:11 SPEAKER_003: So, I think we as a group could sit around together and run a country better than some of these guys.
01:02:18 SPEAKER_003: One thing I have learned is that a poor leader can do a lot of damage.
01:02:21 SPEAKER_003: We had one for ten years as prime minister.
01:02:23 SPEAKER_003: He did a lot of damage.
01:02:25 SPEAKER_003: He really did, and I could list a lot, but in the interest of time, I won't.
01:02:30 SPEAKER_003: And at the municipal level, I've seen it many times.
01:02:33 SPEAKER_003: Haste makes waste.
01:02:35 SPEAKER_003: It really does.
01:02:36 SPEAKER_003: Let's resurface that road.
01:02:37 SPEAKER_003: They do, but meanwhile, over at infrastructure, they tear up the road two years later because they're going to put in water pipes or whatnot.
01:02:43 SPEAKER_003: So we do have to be a little bit careful.
01:02:45 SPEAKER_003: You have to go a little bit slower.
01:02:47 SPEAKER_003: Make sure you got your ducks lined up in a row.
01:02:51 SPEAKER_003: And then finally, last screen: listen to others and be prepared to change your mind.
01:02:56 SPEAKER_003: Again, I thought I knew some stuff, and then you listen and you listen.
01:03:00 SPEAKER_003: You know what?
01:03:01 SPEAKER_003: I think I'm wrong.
01:03:03 SPEAKER_003: So I've been humble.
01:03:04 SPEAKER_003: I'll be honest.
01:03:05 SPEAKER_003: I've been humble by a lot of things, but I didn't know.
01:03:08 SPEAKER_003: And I found just through my own personal life, insulating oneself from inflation and prepping and have a lot in common.
01:03:14 SPEAKER_003: I've read a lot of prepping books and they talk about guns and you know creating a defensive perimeter and all that stuff.
01:03:19 SPEAKER_003: And I think, yeah, but if you grow a big garden and you got solar panels and you insulate your house and you got a plug-in hybrid, inflation comes along.
01:03:28 SPEAKER_003: And guess what?
01:03:29 SPEAKER_003: I own a lot of commodities in my retirement portfolio, and I feel pretty protected against inflation.
01:03:36 SPEAKER_003: So a lot of what the preppers talk about is actually helps save you from inflation.
01:03:40 SPEAKER_003: Right?
01:03:41 SPEAKER_003: Life is getting harder.
01:03:43 SPEAKER_003: We know if we go back to the '70s, a family could get by on one income.
01:03:47 SPEAKER_003: They had a house, they had a car, they went on vacation every year.
01:03:51 SPEAKER_003: Fast forward to 2026; you got two people working.
01:03:54 SPEAKER_003: One of them working a job and a half.
01:03:55 SPEAKER_003: They're renting.
01:03:56 SPEAKER_003: They can't afford nothing.
Municipal Adaptation to Rising Energy Costs
Speakers discuss how rising energy costs will shrink the world and lower societal expectations for daily life. One participant suggests that ordinary people will perform extraordinary actions when real trouble arises on the ground. Another speaker notes that simply broaching difficult subjects is the necessary first step to getting ideas through.
01:03:58 SPEAKER_003: So it is getting hard.
01:04:00 SPEAKER_003: It doesn't just seem like it.
01:04:01 SPEAKER_003: It is getting hard.
01:04:03 SPEAKER_003: So, but at the end of the day, what can we change, right?
01:04:06 SPEAKER_003: So you got to learn what's truly important in your life.
01:04:09 SPEAKER_003: It's family, it's community.
01:04:11 SPEAKER_003: So that's why I say get involved with your community.
01:04:13 SPEAKER_003: The world will grow smaller.
01:04:15 SPEAKER_003: We're going to travel a lot less.
01:04:17 SPEAKER_003: Even big government, big corporations, their reaches, their reach will weaken as energy becomes more and more expensive.
01:04:24 SPEAKER_003: So I firmly believe the world will grow smaller.
01:04:28 SPEAKER_003: And stay positive, right?
01:04:31 SPEAKER_003: But prepare to have expectations lowered as time moves on.
01:04:34 SPEAKER_003: So you know, a great time is a trip to Disney.
01:04:36 SPEAKER_003: Times a trip to Disney, you know, a great day is a day at Disney, and maybe in the future, a great day might just be the fact that you had three meals that day, right?
01:04:44 SPEAKER_003: So we're going to have lower expectations, and just prepare for that.
01:04:49 SPEAKER_003: And I think if you can get that mental frame of mind, I think life's going to be a lot more pleasant.
01:04:53 SPEAKER_003: And then at the end of the day, be grateful for what you have.
01:04:57 SPEAKER_003: And that presentation, sir.
01:04:59 SPEAKER_003: Thank you, Simon.
01:05:02 SPEAKER_003: You had something.
01:05:05 SPEAKER_003: You got on mute.
01:05:07 SPEAKER_003: Just to throw a comment, Dave.
01:05:09 SPEAKER_002: Yes, I do indeed meet lots of people from all over the world.
01:05:12 SPEAKER_002: And a couple of days ago, I met all the senior people in the military-industrial complex in Europe, and I am struck again and again and again how ordinary all these people are.
01:05:23 SPEAKER_002: They're just ordinary people.
01:05:25 SPEAKER_002: Now, they're just like us.
01:05:29 SPEAKER_002: But what's happened to them is they've been conditioned, right?
01:05:32 SPEAKER_002: They're part of a system.
01:05:35 SPEAKER_002: They do a job, and their job has instructions, or their job has requirements, which allows them to operate in a very narrow window.
01:05:43 SPEAKER_002: If they were to engage in much change at all, the system around them would replace them.
01:05:50 SPEAKER_002: So what I've come to the conclusion is the sort of leadership we're all hoping for is something like John Galt out of Atlas Shrugged.
01:06:02 SPEAKER_002: We need a dangerous lunatic to come out of nowhere with a plan, and then somehow get a vast amount of resources, and then disrupt things to the point where suddenly things get better.
01:06:14 SPEAKER_002: That's kind of what we're asking for.
01:06:16 SPEAKER_002: It's not going to happen with the kind of leadership that's allowed to exist in the world that we're in at the moment.
01:06:26 SPEAKER_002: And so what I think will happen is when we start getting the real trouble on the ground, ordinary people will do extraordinary things.
01:06:35 SPEAKER_002: So those leaders are around us.
01:06:37 SPEAKER_002: Some of them in power now, but they're dormant.
01:06:41 SPEAKER_002: And that's how it is.
01:06:42 SPEAKER_002: And also when I'm talking to people, and someone's throwing rotten tomatoes at me, or while I'm on stage presenting something, yeah, yeah, full of shit, get off the stage, da da da da da.
01:06:53 SPEAKER_002: Who I'm really talking to is not them, but at the back of the room there'll be a junior intern, who is a junior intern today.
01:07:01 SPEAKER_002: But tomorrow they'll be the leader of the whole division.
01:07:04 SPEAKER_002: That's who I'm talking to.
01:07:06 SPEAKER_002: And if I can remember that, it's manageable.
01:07:11 SPEAKER_002: Very good.
01:07:12 SPEAKER_002: Yeah.
01:07:13 SPEAKER_002: Anyway, David, you're doing remarkable work.
01:07:15 SPEAKER_002: More strength to your arm.
01:07:19 SPEAKER_002: Uh huh.
01:07:19 SPEAKER_001: Uh, David, did you want to respond to that, or but also, can you stop sharing your screen?
01:07:25 SPEAKER_001: Oh, my apologies.
01:07:27 SPEAKER_001: I stop sharing.
01:07:27 SPEAKER_001: Yeah, my apologies.
01:07:29 SPEAKER_003: Just yeah, the only thing I would well, one thing I would add to that, and like I said, that was a hard lesson for me, right?
01:07:35 SPEAKER_003: You think they, you think they're smarter than you, and they just aren't.
01:07:38 SPEAKER_003: You know, what do you mean you haven't heard of this or that?
01:07:41 SPEAKER_003: So, one thing I've noticed at council, and it goes back to maybe a radical idea.
01:07:47 SPEAKER_003: Well, it isn't really radical.
01:07:49 SPEAKER_003: It's just something that needs to happen.
01:07:52 SPEAKER_003: And I find just broaching the subject, right?
01:07:55 SPEAKER_003: Just broaching the subject, getting it out there, letting people hear those thoughts, right?
01:07:59 SPEAKER_003: And then you, what you said is right.
01:08:01 SPEAKER_003: Like somebody else will pick up on that idea.
01:08:04 SPEAKER_003: It takes time, and I know that, and I've done it.
01:08:06 SPEAKER_003: I know how to get kind of weird things through, right?
01:08:10 SPEAKER_003: But it just takes some time, and you got to know how to work the crowd.
01:08:13 SPEAKER_003: But talking about it is the first step.
01:08:16 SPEAKER_003: And Simon, you're up there talking these things.
01:08:18 SPEAKER_003: Like that's the first step.
01:08:22 SPEAKER_003: Awesome.
01:08:23 SPEAKER_002: You have to be okay with being shot in the ass every now and then.
01:08:25 SPEAKER_002: like once a week or so.
01:08:31 SPEAKER_002: All right.
01:08:31 SPEAKER_001: Well, I think yeah, we're over an hour now, so I'll dive into my presentation here.
01:08:39 SPEAKER_001: You guys are right with that.
01:08:41 SPEAKER_001: Yep.
01:08:42 SPEAKER_001: Okay.
01:08:43 SPEAKER_001: And okay.
AI Efficiency After Peak Fossil Fuel Supply
The discussion examines how sectors seek efficiency as fossil fuel supplies tighten beyond peak levels. Coordinated software is proposed to search records and route work while people perform physical tasks. This approach aims to achieve useful results with less fuel, power, material, time, and waste.
01:08:45 SPEAKER_001: So AI after peak energy, when energy tightens, who owns the useful intelligence?
01:08:53 SPEAKER_001: Okay.
01:08:54 SPEAKER_001: And you guys are probably familiar with this.
01:08:56 SPEAKER_001: Jean Leharer was nice enough to put this together earlier, and it's got all of the oils and the fossil fuels by weight.
01:09:05 SPEAKER_001: And so what it shows is that we're past peak on all of our fossil fuels, other than NGPL, which is this little one at the bottom down here.
01:09:16 SPEAKER_001: And so when energy gets tighter, every sector seeks efficiency.
01:09:24 SPEAKER_001: There's a picture: a municipal crew planning a root growing, planning a harvest, and the clerk scheduling maintenance.
01:09:31 SPEAKER_001: Each person needs the same useful result with less fuel, power, material, time, and waste.
01:09:36 SPEAKER_001: Coordinated software can search records, compare options, route work, schedule the next step.
01:09:41 SPEAKER_001: People still choose the plan and do the physical work.
Computing Investment Trends and AI Productivity Gains
The speaker explains that historical pressure from scarce resources drove communities to cooperate and build shared infrastructure. Recent computing investments have risen steadily since 2019, with productivity boosts occurring after the pandemic and following the launch of ChatGPT. Open models achieved graduate-level accuracy on science tests in 2026, while current models still show higher rates of accidental false information compared to humans.
01:09:44 SPEAKER_001: The gain is more useful work from each scarce input, which leads naturally to the cooperation communities used to keep essential services moving, and so we saw that historically, pressure creates new levels of cooperation.
01:10:00 SPEAKER_001: In the three communities, faced material pressure in a world powered by sunlight, food, wood, and animal labour.
01:10:07 SPEAKER_001: Climate shifts changed water and biomass, declining tree cover and scarcer fuel reduced availability.
01:10:13 SPEAKER_001: Mesopotamian towns organised rivers, irrigation, and fuel.
01:10:17 SPEAKER_001: Indus settlements coordinated around changing water systems, and Centausta communities joined metalworking, horses, chariots, and long-distance exchange during the Indo-Aryan expansion.
01:10:26 SPEAKER_001: Shared work became infrastructure in each.
01:10:29 SPEAKER_001: The later question is whether computing can become another shared capability, close to the work.
01:10:35 SPEAKER_001: So we're looking through like these people.
01:10:38 SPEAKER_001: It was the climate changed and it dried up, so they had less wood and less agriculture.
01:10:44 SPEAKER_001: And for us, it's the fossil fuels that are drying up, and so we have less energy.
01:10:48 SPEAKER_001: And so if we look at the computing investment over since 2019, you can see it's been rising steadily, at 11.8 percent a year, roughly or 10 to 11 percent, and now.
01:11:02 SPEAKER_001: But if we look at the share of GDP, the graph gets more interesting, and so we had the pandemic, and then everyone was at home.
01:11:16 SPEAKER_001: And then buying various computers so that they could do remote work, and so we had this kind of dip.
01:11:23 SPEAKER_001: That was the initial peak, and then you know they had enough, and this improved productivity because people had computers at home, they were able to produce more productivity,
01:11:35 SPEAKER_001: and that led to a dip in terms of the share of how much computing was of the total GDP, and then you can see the similar kind of dip just after ChatGPT launches.
01:11:49 SPEAKER_001: So ChatGPT launched, and it created a massive productivity boost in the GDP of the U.S. at least, which is what we're looking at here.
01:12:00 SPEAKER_001: And so the share declined.
01:12:03 SPEAKER_001: So if you look behind, see this is where it was released, and it stays flat, but the actual GDP grew a lot during that time, and then you can see it goes back up here,
01:12:16 SPEAKER_001: and we had more or less the same kind of ChatGPT interface until quarter four of 2025, when we got agentic coders,
01:12:29 SPEAKER_001: and you see that led to another big boost in productivity that we've been living in, and so what people call AI is really modern software.
01:12:41 SPEAKER_001: The modern software has several parts.
01:12:45 SPEAKER_001: A model is a compressed database of patterns learned from text, code, images, video, speech, and other records.
01:12:52 SPEAKER_001: Its weights store relationships used to generate tokens.
01:12:57 SPEAKER_001: Different models use different methods.
01:12:59 SPEAKER_001: Language models predict tokens.
01:13:01 SPEAKER_001: Diffusion models denoise images or video, and vision, speech, music encoding systems have their own forms.
01:13:07 SPEAKER_001: Tools connect a model to current web pages, local files, databases, compilers, and tests.
01:13:13 SPEAKER_001: The task prompts, retrieval records, and tool results form short-term working memory.
01:13:18 SPEAKER_001: Saved records, tests, and later training preserve institutional knowledge.
01:13:23 SPEAKER_001: So you have the database, and it generates in different ways, and the working context lets it have a short-term memory, while it's figuring things out.
01:13:33 SPEAKER_001: Okay.
01:13:34 SPEAKER_001: And then if anyone has a question, just unmute because I can't see you, and like ask the question.
01:13:38 SPEAKER_001: Okay.
01:13:39 SPEAKER_001: Open models climbed the GPQA ladder, and so there's this test.
01:13:48 SPEAKER_001: It's called the GPQA.
01:13:50 SPEAKER_001: It asks difficult science and mathematics questions that compares answers with people who have graduate level subject training.
01:13:57 SPEAKER_001: So that means like masters, PhD people.
01:14:01 SPEAKER_001: And Qwen 3.5 9B reaches that human reference line.
01:14:04 SPEAKER_001: So that's over here, and it was in 2026.
01:14:07 SPEAKER_001: So for since 2022, when ChatGPT was released, a lot of these they were not smart, but they were smarter than your average person, which scores about 22% on the GPQA test.
01:14:22 SPEAKER_001: And now a graduate expert in a particular domain will score about 81.3%.
01:14:29 SPEAKER_001: And so our open models achieved that in 2026, and you see we've got a lot. 26, and you see we've got a lot of them.
01:14:36 SPEAKER_001: The last few points require much larger models.
01:14:39 SPEAKER_001: So, whereas say Qwen 3.5 9B, that means it has 9 billion parameters.
01:14:45 SPEAKER_001: It is 81.7% accurate, and an expert is 81.3%.
01:14:51 SPEAKER_001: So, so this is about like human level.
01:14:53 SPEAKER_001: And so these other ones are superhuman in terms of 89% and and stuff like that.
01:14:58 SPEAKER_001: But they require more parameters, as you can see here.
01:15:02 SPEAKER_001: See these ones, 300, 30, you know.
01:15:02 SPEAKER_001: Thirty hundred thirty, you know, a lot more, and you can see the percentages on the side here.
01:15:08 SPEAKER_001: And then omniscience, knowledge, and restraint.
01:15:12 SPEAKER_001: So in terms of hallucinations, because this is an issue that comes up, and so we have humans.
01:15:20 SPEAKER_001: I mean, this is an honest human, I guess.
01:15:22 SPEAKER_001: There was the Truthful QA, and so humans are prone to giving false information by accident, about six percent of the time.
01:15:33 SPEAKER_001: Whereas our current models are still much higher.
01:15:36 SPEAKER_001: So the Qwen 3.5 9B I was talking about earlier is like eighty five percent, very very high.
Hybrid AI Human Supervision Workflow
One participant explains that human supervisors catch only about 46% of errors, whereas older automated models catch over 92%. A hybrid approach is proposed where humans manage exceptions while automated workflows handle routine tasks to reduce costs significantly. This method allows for local LLMs to run on existing hardware, making the solution more affordable than hiring humans or using expensive API services.
01:15:41 SPEAKER_001: But some of the newer models, like 27B, is closer to eighteen percent, which is still much lower than even the frontier models like Claude Opus and GPT-4o.
01:15:55 SPEAKER_001: Here, so I'm just trying to see if okay.
01:16:01 SPEAKER_001: Everybody's still following along, okay.
01:16:04 SPEAKER_001: And so we actually there's three ways to check a piece of work because you don't want to if you if you're having automated worker you want to make sure you have good results.
01:16:20 SPEAKER_001: And so we looked at humans and say you have a human supervisor that checks over your work.
01:16:26 SPEAKER_001: Well, a human supervisor is on average only catches about 46% of the errors, whereas even these older models would catch 92.7% of the errors.
01:16:39 SPEAKER_001: And this is Claude 3.
01:16:40 SPEAKER_001: This is from before the Q4 2025.
01:16:44 SPEAKER_001: And so, really, the best chain is to have a hybrid chain where you have the automated workflow, and then you have a human managing exceptions or major changes.
01:16:56 SPEAKER_001: And so, another thing is that useful model performance has dropped a lot since it was back in 2020.
01:17:04 SPEAKER_001: It's like 850 times lower than before.
01:17:08 SPEAKER_001: And here it says local LLMs are mostly hardware.
01:17:12 SPEAKER_001: So because the larger the model you have, the more hardware you need.
01:17:16 SPEAKER_001: However, also software has been improving.
01:17:19 SPEAKER_001: So the Qwen FlashNext coder, even though it's a much larger model, can be run on the same hardware as the Qwen 3.8 27B, even though this has at one hundred eight billion parameters, okay,
01:17:32 SPEAKER_001: billion that is, and so here we're looking at the cost of intelligence, and so in comparison to humans, so if you have a one million tokens,
01:17:43 SPEAKER_001: now a million tokens is would take several weeks for a human to generate.
01:17:50 SPEAKER_001: So a token is about four letters, give or take.
01:17:55 SPEAKER_001: So like 1.25 words.
01:17:57 SPEAKER_001: I mean, so a word is 1.25 tokens rather.
01:18:02 SPEAKER_001: And so, if we were to pay a human to generate a million tokens at GTA living wage, it would be 1,847 dollars.
01:18:14 SPEAKER_001: Whereas the same amount of output from Qwen 3.8 27B, which is smarter, would cost 35 cents.
01:18:25 SPEAKER_001: And so helpos.ca is one of the examples that well I've made, and so it has local inputs based on council meetings and agendas, PDFs, and things like that.
01:18:38 SPEAKER_001: And then it transcribes everything, and then makes summaries and articles about it.
01:18:46 SPEAKER_001: And so it takes all of those, and then what I do is I check through it, and then make sure that it's accurate, and then I update the chain.
01:18:57 SPEAKER_001: The but otherwise, it can more or less autonomously do things even without my intervention and make very good summaries.
01:19:08 SPEAKER_001: So modern software is a coordinated system.
01:19:11 SPEAKER_001: So you have the inputs, so it can accept images and convert images to text and PDFs.
01:19:19 SPEAKER_001: It can hear speech.
01:19:21 SPEAKER_001: You know, and make captions and things like that.
01:19:23 SPEAKER_001: Then there's the reasoning aspects.
01:19:27 SPEAKER_001: So there's the you have the models.
01:19:30 SPEAKER_001: They're kind of like the mushy stuff, and they can do the reasoning summaries and things like that.
01:19:35 SPEAKER_001: And then you can actually have code and tools to do verification, make sure that it's meeting your security standards or that this actually really was in the text.
01:19:46 SPEAKER_001: There's different levels, and then there's also searching.
01:19:49 SPEAKER_001: Like web searches that help.
01:19:52 SPEAKER_001: And then you can output as images or as text or as voice or as music, basically any kind of digital media we we can do, either input or output.
01:20:02 SPEAKER_001: And so I made a Pash coordination layer and a reliability framework that helps manage the many large models all together.
01:20:12 SPEAKER_001: And so and all of this can run on a single piece of hardware.
01:20:16 SPEAKER_001: A piece of hardware, and so what it costs in human time.
01:20:20 SPEAKER_001: So based on my HelpOS archive from like a week or two ago, when I took a snapshot, I had transcribed 174 videos and 75 agenda pages,
01:20:32 SPEAKER_001: and so the amount of text work it would have been 15,000 human equivalent labour equivalent in the transcription.
01:20:40 SPEAKER_001: So it would have cost if I had hired a human to do the transcription, it would have cost sixty-four thousand dollars, but what it ended up costing me was well close to zero.
01:20:52 SPEAKER_001: It was just like the electricity cost, and I already had the hardware.
01:20:55 SPEAKER_001: And if I had done it through an API, it would have cost about three hundred bucks.
01:21:00 SPEAKER_001: So workflow helps.
01:21:02 SPEAKER_001: And this over here talks about how because online you may hear on some videos that oh there was a study and people used AI and they were actually twenty percent slower when they were doing
01:21:19 SPEAKER_001: their software programmes,
01:21:20 SPEAKER_001: and this is actually based on old types.
01:21:26 SPEAKER_001: This is the pre-Q4 2025 models.
Data Centres Outpace Grid Capacity Growth
The discussion highlights how improved AI workflows increased coding speed by 22% while custom software builds now account for 51% of company projects. Data centre construction is lagging behind announced plans due to bottlenecks in transformers, power connections, and batteries that limit available energy. Heavy subsidies for local model usage may delay the transition to local hardware despite growing infrastructure investment.
01:21:29 SPEAKER_001: So these were old models, and they also had a bad way of doing it, where they were generating the code and then they were reviewing the code and then maybe running it,
01:21:41 SPEAKER_001: and so this made everything take longer.
01:21:43 SPEAKER_001: Whereas when they had the improved workflow, where basically the person is saying what they want and how to verify that it was there, like with tests and scenarios and stuff, then it was 22% faster.
01:21:58 SPEAKER_001: And this is still with those old models that aren't even very good.
01:22:03 SPEAKER_001: And so this is the Q4 2025 changed what stays cloud heavy.
01:22:09 SPEAKER_001: So we had the chat error work when it was prompt answer.
01:22:13 SPEAKER_001: This is all local friendly and like basically I can run the equivalent of that 2022 ChatGPT with that 9B model on my computer.
01:22:24 SPEAKER_001: And the agentic coding is kind of the new thing.
01:22:28 SPEAKER_001: And over here we have these.
01:22:31 SPEAKER_001: We basically entered the super intelligence era in Q4 of 2025 because all of these models are just so smart now.
01:22:40 SPEAKER_001: Humans can't compete with their coding abilities, and so this is the deep software engineering base over here.
01:22:49 SPEAKER_001: And you can see basically this is the more expensive over here, and this is the cheaper over here, and the more intelligent, the faster you go up.
01:22:56 SPEAKER_001: And see, you've got FlashNext base over here, and it is very close to Luna, and which is one of the frontier models that I use.
01:23:10 SPEAKER_001: So more software is made, much stays private.
01:23:12 SPEAKER_001: So we already know that even since since this happened, Q4 of 2025, we've had 240% more commits, 80% more projects, but the users has stayed flat.
01:23:27 SPEAKER_001: But I think that has more to do with who who can afford to be a user.
01:23:32 SPEAKER_001: But we do know there's a lot more internal use and companies are saving costs by not using software as a service and instead using custom builds.
01:23:44 SPEAKER_001: And already 51% of companies surveyed, and I think there was hundreds or like here, 1,719 respondents over 97 countries, 51% are building their own software now.
01:23:56 SPEAKER_001: So this is a massive sea change globally.
01:24:00 SPEAKER_001: So 32% passed on a software purchase because they could build it in house.
01:24:05 SPEAKER_001: There we go.
01:24:06 SPEAKER_001: Data centres are growing faster than the U.S. grid.
01:24:09 SPEAKER_001: Well, we probably already all knew this, and so you can see this is the customer electricity, and this is the summer capacity, and so it's not in a good situation,
01:24:23 SPEAKER_001: and that's why we're actually seeing the announced data centre buildout is outrunning construction.
01:24:27 SPEAKER_001: So, twelve big projects were announced for 2026.
01:24:32 SPEAKER_001: Well, twelve gigawatts worth of projects, but only five gigawatts are under construction, and the reported bottlenecks are transformers, power connections, switchgear, and batteries.
01:24:41 SPEAKER_001: So there just isn't enough energy to power this buildout.
01:24:45 SPEAKER_001: So new networks attract too much investment.
01:24:49 SPEAKER_001: So we had like canals; there was a boom, too much building, crash.
01:24:53 SPEAKER_001: Within the railway, same thing, electricity, and telecom.
01:24:57 SPEAKER_001: Like this is the 1990s with the fiber optics and models, and so we can expect excitement builds.
01:25:05 SPEAKER_001: Infrastructure have expanded.
01:25:06 SPEAKER_001: This is an example of my usage over time.
01:25:11 SPEAKER_001: So, so this this was basically Q4 of 2025, when the models got good enough, I started using them on my computer.
01:25:19 SPEAKER_001: And so here I was just figuring out how to use it, and I'm paying twenty dollars a month, but the API cost that I was pushing it to was about five hundred dollars a month.
01:25:33 SPEAKER_001: So OpenAI was paying roughly, you know, maybe three or four hundred dollars for every twenty dollars that I was paying them.
01:25:42 SPEAKER_001: And then over here, they kind of lowered their limits or something, or maybe these models became less efficient.
01:25:48 SPEAKER_001: I'm not sure why, but you can see my token count; the total tokens I was using dropped precipitously from near two billion to like half a billion for May, June, July.
01:26:00 SPEAKER_001: And then 5.6 Sol, it was smarter, so you could do a lot more with fewer tokens.
01:26:06 SPEAKER_001: But then GPT-5 or Luna came out, and you can—it was almost as smart as Luna, but you have basically unlimited usage.
01:26:16 SPEAKER_001: And so I went way over three billion tokens of usage in September.
01:26:21 SPEAKER_001: And so right now, so Luna versus FlashNextCoder.
01:26:27 SPEAKER_001: FlashNextCoder, I don't know.
01:26:29 SPEAKER_001: Are you guys still with me there?
01:26:32 SPEAKER_001: Yes, we're here.
01:26:33 SPEAKER_001: Yeah.
01:26:34 SPEAKER_001: Okay.
01:26:34 SPEAKER_001: Cool.
01:26:35 SPEAKER_001: And so, okay.
01:26:38 SPEAKER_001: FlashNextCoder.
01:26:39 SPEAKER_001: So, if FlashNextCoder, I could run on my own computer, and it would be a similar speed to Luna, but because it's so heavily subsidized for twenty-eight dollars a month, I, you know,
01:26:56 SPEAKER_001: get the same amount as I would, and so this is one of the reasons we're not seeing as much of a local hardware transition right now because of the heavy subsidies.
01:27:05 SPEAKER_001: And so the data centre demand, demand, and so you can see the data centres, because they're getting all of this investment from Saudi Arabia and governments and things like that.
Hardware Correction Makes Local Coding Affordable
The speaker explains that large AI labs consume 57 percent of global RAM production, causing prices to skyrocket for consumers. A potential hardware correction could liquidate server racks, doubling supply and dropping GPU prices from six and a half thousand to two and a half thousand dollars. This market shift would make running local coding models more affordable compared to current cloud services.
01:27:16 SPEAKER_001: They're actually eating up fifty-seven percent of all of the RAM that's being produced on the planet, whereas consumers are getting the other forty-three percent, and it has made prices skyrocket.
01:27:29 SPEAKER_001: So, like a couple years ago, I would be able to get thirty-two gigabytes of RAM for like one hundred and thirty dollars.
01:27:37 SPEAKER_001: Now, that's over like a thousand dollars.
01:27:41 SPEAKER_001: So it is a completely different ball game right now because of it.
01:27:47 SPEAKER_001: Cloud model services.
01:27:48 SPEAKER_001: I'm hungry.
01:27:49 SPEAKER_001: Yeah.
01:27:50 SPEAKER_009: Is this like Walmart driving out our local grocery store?
01:27:55 SPEAKER_009: And our local retailers—is it sort of in that line?
01:28:02 SPEAKER_009: Similar?
01:28:03 SPEAKER_001: It's kind of like imagine if Walmart was your grocery chain and they bought fifty-seven percent of the food, but not for retail customers, just for five or ten of the richest customers,
01:28:24 SPEAKER_001: and then you get to—you have forty-three percent of the food.
01:28:27 SPEAKER_001: You share the rest amongst yourselves.
01:28:30 SPEAKER_001: Yeah, and okay, yeah, pretty pathetic.
01:28:34 SPEAKER_001: Yes, yes, exactly.
01:28:35 SPEAKER_001: And so, and then you could rent the—you know—calories from a big company.
01:28:43 SPEAKER_001: That's what's happening right now.
01:28:45 SPEAKER_001: That's basically the situation.
01:28:48 SPEAKER_001: Um, and so where were we?
01:28:52 SPEAKER_001: So here we go: strategic price flat subscription, and they're trying to say, "Oh, we got million, we got hundred million users."
01:29:00 SPEAKER_001: Look, because you know, because they're subsidizing them so heavily.
01:29:03 SPEAKER_001: So when the bill comes due, subsidies, market conditions that can change.
01:29:07 SPEAKER_001: And here we look at the market conditions.
01:29:10 SPEAKER_001: And so you can see OpenAI and Anthropic, and this is how much money they're losing.
01:29:16 SPEAKER_001: This is so in 2024 they were losing two billion a quarter, and in 2025 they were losing about five to six billion dollars a quarter, and then Anthropic, who owns Claude,
01:29:31 SPEAKER_001: they stopped releasing their information, and now they're pursuing what is called creative accounting, whereas OpenAI is continuing to produce their financials, and it says you know here they lost nine billion in quarter one,
01:29:50 SPEAKER_001: and they lost over twelve billion in quarter two.
01:29:53 SPEAKER_001: So their losses are escalating very quickly because, you know, they've made these commitments to buy this huge amount of hardware, and they're subsidizing all of their users, and so they're really not making any money.
01:30:07 SPEAKER_001: So rules favour big labs, and so that's why we've seen Anthropic and like Dario and Sam Altman.
01:30:17 SPEAKER_001: Um, who's the OpenAI CEO?
01:30:19 SPEAKER_001: And they're like, they're saying, "Oh, we need regulations.
01:30:22 SPEAKER_001: Oh, we need to slow down, you know, because look, look at how much money they're losing, right?
01:30:27 SPEAKER_001: We could just assume Anthropic is on the same thing."
01:30:30 SPEAKER_001: And what I was talking to some people and how they're doing their creative accounting, where Anthropic is claiming they're net zero, is that they're selling shares.
01:30:38 SPEAKER_001: They're selling shares and saying, "Oh, well, we managed to cover our debt by selling shares," but that's you know, that's not legitimate.
01:30:43 SPEAKER_001: Um.
01:30:44 SPEAKER_001: Legitimate.
01:30:44 SPEAKER_001: OpenAI is also selling shares to make up the difference.
01:30:48 SPEAKER_001: But it's anyhow, and so they want to have regulations.
01:30:52 SPEAKER_001: They want to make illegal those open source models that we were talking about earlier that you can run on your own computer because they want to force everyone to buy, you know,
01:31:05 SPEAKER_001: their compute rather than let you know people have their own food or whatever, and so, like that, you have to buy it from the fast food store.
01:31:16 SPEAKER_001: You shouldn't prepare your own food.
01:31:18 SPEAKER_001: That's basically where we're at.
01:31:21 SPEAKER_001: And so, after buildout crashed, the network remained.
01:31:23 SPEAKER_001: So we're likely headed for crash.
01:31:26 SPEAKER_001: We don't know when.
01:31:28 SPEAKER_001: Just like the railways crashed, but the owners lose money, but the network survives.
01:31:34 SPEAKER_001: And so, the new owners open cheaper routes, and in the fiber cables remained.
01:31:40 SPEAKER_001: Bandwidth reached more users.
01:31:41 SPEAKER_001: Bandwidth reaches more users eventually, and the data centres, the buildings, the power, the fiber move to cheaper owners.
01:31:48 SPEAKER_001: So, when these companies go into receivership, these large data centres will then have to sell off their server racks to regular consumers who have been, you know, highly constrained over the last couple of years.
01:32:03 SPEAKER_001: So, a hardware correction can make local coding affordable, and because you know, fifty percent liquidation case is fairly reasonable because they are consuming fifty-seven percent of the market right now.
01:32:13 SPEAKER_001: So we would have basically double, or potentially as much as double, of the stuff that we have now.
01:32:20 SPEAKER_001: And so here an RTX 3090.
01:32:22 SPEAKER_001: This is what I have, and so ninety-three point five output tokens per second.
01:32:29 SPEAKER_001: And so this is an agentic model that's like ninety percent GPQA and that you could use for coding, and like some of the other ones, you know they're faster.
01:32:39 SPEAKER_001: So right now on the cloud, you get about one hundred twenty tokens per second, and so a human generates about four tokens per second when you're speaking at like one hundred thirty words per minute,
01:32:52 SPEAKER_001: or sorry, one hundred eighty words per minute, or something like that.
01:32:58 SPEAKER_001: But so this is a lot faster than a human.
01:33:01 SPEAKER_001: But it's just like I've gotten used to somewhere around this range.
01:33:04 SPEAKER_001: So if I had like some one of those, that would be great, and the price would drop from what it is now, six and a half thousand, to like two and a half thousand,
01:33:12 SPEAKER_001: which is more affordable.
Municipal AI Sovereignty and Local Model Training
The discussion explores resident-owned local software that reduces fees while allowing hardware repair and sharing among communities. Municipal models can process public records efficiently, though current large-scale training requires significant electricity and water resources comparable to industrial facilities. Regional refinement projects could utilise existing buildings with ten to fifteen kilowatts of power, whereas frontier model development demands substantially larger infrastructure.
01:33:14 SPEAKER_001: Okay, the opportunity: resident-owned local software, lower fees, where you own your own hardware, you can repair it, and you can share with others.
01:33:25 SPEAKER_001: So at the municipal level, you've got your records, your public information, easy to process operations, local memory.
01:33:34 SPEAKER_001: And so, yeah, the first uses are records, public information operations.
01:33:40 SPEAKER_001: Models draft and retrieve, staff verify and decide.
01:33:43 SPEAKER_001: The town can begin with time-saving work, keep public control, and share useful tool with the county or the province.
01:33:50 SPEAKER_001: And so, model provenance shapes behaviour.
01:33:53 SPEAKER_001: And so, this is something that Dan was talking about: is that if you're using models, open models, most of them are from China, and they do have a bias.
01:34:03 SPEAKER_001: And say, for instance, the cloud models from the U.S. They also have a bias, and so it would be good as a sovereignty thing for Canada to produce its own models.
01:34:14 SPEAKER_001: But this is a small bottle.
01:34:17 SPEAKER_001: So, for example, the DeepSeek R1, it was found to produce, you know, more vulnerable code if it was told that it was operating in the U.S., like twenty-seven percent more of the time,
01:34:31 SPEAKER_001: and it was the same when.
01:34:31 SPEAKER_001: And it's the same with Quan models.
01:34:34 SPEAKER_001: And Canada has its own laws and histories and records, and so it would be good for us to have our own.
01:34:40 SPEAKER_001: And so independent modes can check one another.
01:34:43 SPEAKER_001: So meanwhile, while we don't have that, we can use verifiers, and we can verify using a different model because you know there's Quan, but there's also NemoTron,
01:34:53 SPEAKER_001: and there's different kinds of and GLM that there's different models, and they would check different things, and we can also have hardware checks.
01:34:59 SPEAKER_001: Where checks so that we can generate secure code, and this is for like you know governments or military or somewhere where security is very important, financial institutions.
01:35:14 SPEAKER_001: And so the general purpose nine B frontier is nearing today's ceiling.
01:35:20 SPEAKER_001: So this Quan thirty-five-nine-three point five-nine B it was released early in twenty twenty-six, but basically we've never—we haven't managed to get anything that's smart.
01:35:28 SPEAKER_001: Get anything that's smarter that still fits within that type of nine B profile, and so the companies just aren't producing anything at that level because they simply can't do it.
01:35:41 SPEAKER_001: But we might be able to make more domain-specific nine B models, and so pre-training compresses a huge record into a small model.
01:35:53 SPEAKER_001: And so, if you take all of the information that was created in the world, all the written information before the invention of the internet, it would be about three trillion tokens,
01:36:11 SPEAKER_001: and it would take about twenty-four thousand years to read.
01:36:16 SPEAKER_001: And but the current models are being trained on the pre-training from three to thirty-six trillion tokens.
01:36:25 SPEAKER_001: So they are a distillation of all known knowledge in the world.
01:36:31 SPEAKER_001: So, so first you curate and deduplicate, and these are the deduplicated, and then you pretrain a teacher, like a 2.4 trillion token teacher, and then you distill it to create a local 9B model.
01:36:46 SPEAKER_001: And so, large open teachers live in the 400 to 3 terabyte range, and so here.
01:36:55 SPEAKER_001: You can see these are just examples, and then it costs them quite a bit of money to make these.
01:37:06 SPEAKER_001: We have some examples, and it depends on how many GPUs or accelerators you have, how long it will take to do it.
01:37:16 SPEAKER_001: And here we have some numbers: quarterly refinement fits a regional model lab.
01:37:21 SPEAKER_001: So, for example, uh.
01:37:23 SPEAKER_001: Example: If you want to just make a regional refinement to a model, then you can do so with a 10 to 15 kilowatt facility and 100 terabytes storage.
01:37:35 SPEAKER_001: Whereas regional distillation, you would need substantially more, and frontier teacher, you would need more still.
01:37:45 SPEAKER_001: And then here it gives kind of the more of the understanding of how much it would be.
01:37:52 SPEAKER_001: So.
01:37:52 SPEAKER_001: Because a lot of people are concerned about water usage.
01:37:55 SPEAKER_001: So local refinement, one could use maybe ninety liters of water a day if it was in the industrial lands, existing building facility.
01:38:04 SPEAKER_001: Oh, and I just wanted to give an also an explanation about how much electricity is being used here.
01:38:10 SPEAKER_001: And so I had it written down, but basically here, maybe it's.
01:38:21 SPEAKER_001: Here.
01:38:22 SPEAKER_001: Two.
01:38:23 SPEAKER_001: Well, okay.
01:38:25 SPEAKER_001: I must have.
01:38:27 SPEAKER_001: But ten to fifteen kilowatts is two chargers, two car chargers.
01:38:34 SPEAKER_001: This is how much electricity it's using, and this is like five or ten chargers, and this is well a lot more.
01:38:41 SPEAKER_001: And so there's different locations that have that amount of water and electricity available.
01:38:48 SPEAKER_001: Um, and oh, yeah, okay.
01:38:54 SPEAKER_001: And so, the frontier campaigns could happen in the larger places like Quebec City, Levee, Winnipeg, and Prince George.
Municipal AI for Local Services
The discussion outlines a tiered approach using local models trained on regional laws and provincial history to create sovereign intelligence. This system supports public safety by analysing reports and video records while maintaining strict boundaries on facial recognition and tracking. Healthcare and education applications are designed to reduce costs and provide advanced training, particularly in remote areas where experts are scarce.
01:39:06 SPEAKER_001: So that's like Quebec, Manitoba, and B.C. And then you could have regional distillation on Montreal, Toronto, Vancouver, and then every local place could have its own, you know, local bylaws, records, procedures,
01:39:20 SPEAKER_001: and then the province-wide distillation could you could have models that are familiar with provincial law, history, practices, and then the frontier campaigns would have all the Canadian law and history,
01:39:31 SPEAKER_001: and that way we would have like a truly sovereign intelligence to be working with.
01:39:39 SPEAKER_001: And so you, this is just talking about how distillation works.
01:39:45 SPEAKER_001: Okay, less surplus energy, more local skill.
01:39:49 SPEAKER_001: So from less surplus to local skills and production.
01:39:53 SPEAKER_001: So the chain now returns to the local table.
01:39:56 SPEAKER_001: Declining surplus raises pressure on labour, money, and coordination.
01:40:01 SPEAKER_001: Capital builds large models, serving systems.
01:40:04 SPEAKER_001: Correction can lower the price of used computers and mature models.
01:40:07 SPEAKER_001: A town office, farm, or household can then own a capable machine for repair, crop planning, teaching, or records.
01:40:14 SPEAKER_001: The choice is where people place the capability and which useful work they strengthen together.
01:40:20 SPEAKER_001: So residents want safe public space and timely help.
01:40:24 SPEAKER_001: A public safety modern software can search permitted reports and video records, build a timeline, prepare disclosure, and help match a call to a civilian paramedic or police response.
01:40:35 SPEAKER_001: Police can keep more time for serious theft, drug trafficking, and emergencies.
01:40:39 SPEAKER_001: The same system can publish response times, repeat calls, body camera policy, and compliant reviews result.
01:40:45 SPEAKER_001: Facial recognition or continuous tracking carries a stricter boundary.
01:40:48 SPEAKER_001: It can serve as an investigative lead under a clear policy or warrant with human verification and independent evidence before any arrest or conviction.
01:40:56 SPEAKER_001: The resident benefit is better use of police time and clearer public accountability.
01:41:00 SPEAKER_001: So, so these are use cases that we could have for a municipal using modern software.
01:41:08 SPEAKER_001: Healthcare models inherit the legal institute.
01:41:11 SPEAKER_001: Inherit the legal, institutional, and commercial setting around the data and deployment.
01:41:14 SPEAKER_001: U.S. systems are built inside a for-profit U.S. healthcare market.
01:41:18 SPEAKER_001: A Canadian system can set a different public goal.
01:41:21 SPEAKER_001: It can help residents understand nutrition and prevention, compare evidence-based low-cost choices, and find provincial or local services before they need a clinician's appointment.
01:41:30 SPEAKER_001: This can reduce avoidable demand and paperwork while leaving clinicians more time for serious cases.
01:41:35 SPEAKER_001: This is a design goal.
01:41:36 SPEAKER_001: Current models differ by.
01:41:38 SPEAKER_001: Okay, basically this is because if you ask ChatGPT, most of the time it's going to tell you, "Oh, go look at a doctor, go get this expensive procedure," because they are within the U.S.
01:41:48 SPEAKER_001: regulatory framework that wants as much healthcare spending as possible.
01:41:53 SPEAKER_001: Whereas in Canada, we have free healthcare, and so we want to help people as cheaply as possible.
01:42:00 SPEAKER_001: So, so we have different use cases, and so it makes sense for us to have a different healthcare model.
01:42:06 SPEAKER_001: Education, reading, writing, and numeracy are the foundation.
01:42:09 SPEAKER_001: Human teachers build those abilities and help learners develop judgment before they rely on teaching software.
01:42:15 SPEAKER_001: Once that foundation is in place, a Canadian teaching modern software system can provide college courses, graduate-level seminars, professional training, advanced trades instruction, literature reviews, research methods, and help with original projects.
01:42:28 SPEAKER_001: Canadian curriculum, history, language, and civic knowledge can shape the examples, and this is because, like I was saying, like these models are much smarter than any human, and so can provide these kinds of courses,
01:42:42 SPEAKER_001: and especially in remote areas where you might have trouble finding an expert, it's very useful to have these kinds of models to help with education, public services.
01:42:53 SPEAKER_001: One clear front door.
01:42:54 SPEAKER_001: The same approach applies to municipal, provincial, and federal services.
01:42:58 SPEAKER_001: The Civic Modern software system searches the relevant Canadian laws, regulations, permits, benefits, bylaws, and forms, explains what they require in plain language and helps residents navigate an application process.
01:43:09 SPEAKER_001: Residents keep the source and the record of what they submitted.
01:43:12 SPEAKER_001: Municipalities can share open tools with neighbouring towns, the county, and the province, so each office can build on a common service.
01:43:20 SPEAKER_001: So residents get useful answers with the source documents beside them.
01:43:24 SPEAKER_001: All right, and abundant knowledge.
01:43:27 SPEAKER_001: We're basically at the end here.
01:43:29 SPEAKER_001: Pressure creates new levels of cooperation.
01:43:32 SPEAKER_001: Mesopotamian cities developed writing and records.
01:43:34 SPEAKER_001: Centaustic communities developed chariots and made overland travel faster and expanded exchange.
01:43:40 SPEAKER_001: Indus cities showed large urban communities with little visible wealth concentration.
01:43:44 SPEAKER_001: Each example turned shared organisation into a lasting human capability.
01:43:49 SPEAKER_001: At the kitchen table, a young person repairs a pump.
01:43:51 SPEAKER_001: A neighbour brings a meeting recording.
01:43:53 SPEAKER_001: A gardener plans potatoes with local weather and soil records.
01:43:58 SPEAKER_001: The computer supplies tutoring, translation, memory, and planning.
01:44:01 SPEAKER_001: People supply energy to.
01:44:01 SPEAKER_001: People supply energy, tools, skilled hands, and trust.
01:44:04 SPEAKER_001: Shared knowledge keeps useful work close to the people who need it.
01:44:07 SPEAKER_001: Learn together, repair together, grow together, and care for one another.
01:44:13 SPEAKER_001: All right.
01:44:15 SPEAKER_001: So, any questions?
01:44:20 SPEAKER_001: Um, go ahead, Ivor.
01:44:26 SPEAKER_001: Yeah.
01:44:26 SPEAKER_001: Um, I was wondering.
01:44:28 SPEAKER_001: Okay, I heard.
01:44:29 SPEAKER_018: I've heard that these chips don't really last that long.
01:44:32 SPEAKER_018: The chips that they actually use for AI only like go for like two or three years, and so it seems to me like, yeah, you know, this was quite, you know,
01:44:41 SPEAKER_018: now it's a little while ago, but um, Elon Musk had his gigantic thing near Memphis, and it doesn't sound like this whole thing is all that robust,
01:44:54 SPEAKER_018: and it also eating up all this electricity and water and things like this.
01:44:58 SPEAKER_018: And I don't know, it just seems to me, like it's all hooked together.
Chip Depreciation and Future Fabrication
Speakers discuss how running chips at top speeds shortens their life expectancy compared to moderate usage. They note that chip values have appreciated due to high demand rather than depreciating as new generations arrive. The conversation explores whether large-scale fabrication plants will continue operating by 2050 despite energy constraints.
01:45:02 SPEAKER_018: So you're kind of adding depends on what you deep frying.
01:45:06 SPEAKER_018: What depends on what you deep fry the chips in?
01:45:11 SPEAKER_018: Yeah.
01:45:12 SPEAKER_018: Well, okay.
01:45:13 SPEAKER_018: So, so I want to answer that.
01:45:15 SPEAKER_001: And so there is kind of a confusion, you could say, or basically, it depends on how you use them.
01:45:26 SPEAKER_001: Kind of like what Simon Michaux said, is that if you are running them at top speed, like all the time,
01:45:33 SPEAKER_001: then they're going to have a shorter life expectancy because generally those chips are designed to do those top speeds in bursts.
01:45:42 SPEAKER_001: They're not supposed to run at those top speeds all the time.
01:45:45 SPEAKER_001: And so, for example, like the Thirty-Ninety that I have now, I'm not sure how old it is, but it's like at least four or five years old or something, and it's running just fine.
01:45:56 SPEAKER_001: I just don't run it at a hundred percent.
01:45:58 SPEAKER_001: I run it at eighty percent.
01:46:00 SPEAKER_001: I run it like two hundred fifty watts instead of the three hundred fifty watts that it's rated for, and so I get eighty-three tokens per second instead of ninety-three tokens or eighty-seven.
01:46:09 SPEAKER_001: It's like I get a small decline in how fast it will go, but yeah, I can do it much more long-term, and it should be able to last me five to ten years, maybe longer.
01:46:21 SPEAKER_001: We'll see.
01:46:23 SPEAKER_001: And so, and in.
01:46:24 SPEAKER_001: And so, in terms of those data centres, yeah, like I was saying, the use case for them is actually not serving the giving people cloud compute.
01:46:37 SPEAKER_001: At least in the future, it is just making models.
01:46:40 SPEAKER_001: So it's just to set it up.
01:46:44 SPEAKER_018: They're just using the energy to set it all up, right?
01:46:47 SPEAKER_001: Well, that would, that's the only way that I can see that it's justifiable to have a large data centre in the future, because, like I said, we can already run,
01:47:00 SPEAKER_001: like a Qwen 3.5 nine B, you could run on probably even a laptop, and that's already smarter than your, or as smart or smarter than your average university professor,
01:47:13 SPEAKER_001: and so whereas those agentic models that allow you to do basically unlimited computer programming, you can run on a desktop computer with one five-year-old graphics card.
01:47:25 SPEAKER_018: Okay, so so what you're saying is, these things right now they're burning out every other, every you know every other year, but once the thing gets built, then they're going to be much much cheaper.
01:47:40 SPEAKER_018: I'm not saying they're burning out.
01:47:41 SPEAKER_001: So how they're doing is, is depreciating assets, right?
01:47:45 SPEAKER_001: Yes.
01:47:45 SPEAKER_001: So so they're saying that the asset depreciates in value.
01:47:49 SPEAKER_001: You, and that used to be the case because there would be a new generation of chips that would come out, and then the old chips would get cheaper because the new ones are faster,
01:48:04 SPEAKER_001: usually like two or three times faster.
01:48:06 SPEAKER_001: Okay, and so that depreciates the value.
01:48:09 SPEAKER_001: But that's no longer the case.
01:48:11 SPEAKER_001: I bought my my current chip for a thousand seven hundred last year.
01:48:18 SPEAKER_001: It's currently valued at two thousand two hundred dollars.
01:48:21 SPEAKER_001: So actually appreciated in value.
01:48:24 SPEAKER_001: It costs more than when I bought it.
01:48:27 SPEAKER_001: Yeah.
01:48:28 SPEAKER_001: Um.
01:48:28 SPEAKER_001: Because the demand is higher.
01:48:31 SPEAKER_001: Okay.
01:48:31 SPEAKER_001: Barbara.
01:48:33 SPEAKER_009: So, you do see things about a lot of data centres having chips that that have burned out.
01:48:43 SPEAKER_009: Do you think that's true?
01:48:45 SPEAKER_001: I mean, like I said, if you run them at the top speeds, you can burn them out.
01:48:54 SPEAKER_001: But it's kind of like I think it would be more common in those Bitcoin mining operations because they are very time constrained because they have to get the maximum amount of use out of their
01:49:10 SPEAKER_001: Bitcoin miners before their competitors get the same ones.
01:49:13 SPEAKER_001: Whereas, say, as say a cloud hosting, they have more kind of leverage there.
01:49:21 SPEAKER_001: David, Andre, you are talking about chips and whatnot, and I don't know what it costs to build a chip fab fabrication plant today.
01:49:34 SPEAKER_001: I know the price tag was a billion dollars not that long ago.
01:49:37 SPEAKER_001: Do you see us still making chips in 2050?
01:49:41 SPEAKER_001: Do well, I think that there is a good chance chips will still be made somewhere in the world, even in 2050.
01:49:50 SPEAKER_001: Even though it is a very, especially right now, a highly energy-intensive process.
01:49:57 SPEAKER_001: But I have looked into it, and it's part of the reason why our chip fabrication processes are so expensive is because of how big they are.
01:50:08 SPEAKER_001: Like every step down in terms of size, they create like a tenfold increase in the building size in order to have a higher volume in order to make it worthwhile.
01:50:22 SPEAKER_001: But you can actually make like something like ten micron chips using simply an electron laser scanner and like a small plat, small plate.
01:50:37 SPEAKER_001: It would just be a lot slower, and then the total cost would would be like.
01:50:40 SPEAKER_001: Total cost would it would be like about half a million.
01:50:43 SPEAKER_001: Okay.
01:50:43 SPEAKER_001: Well, well, we'll put a bet on it and we'll we'll see.
01:50:47 SPEAKER_001: Twenty-four.
01:50:48 SPEAKER_001: Yeah.
01:50:49 SPEAKER_001: I'm not big on gambling, but we will see for sure.
01:50:54 SPEAKER_018: Um, they're made out of polysilicon, right?
01:50:59 SPEAKER_018: Um.
01:50:59 SPEAKER_018: Well, chips.
01:51:01 SPEAKER_018: Chips.
Moon Manufacturing Using Lunar Raw Materials
Speakers discuss reclaiming old solar panels and repairing chips to extend their useful life. One participant describes a concept for manufacturing semiconductor microchips on the moon using local raw materials at a small laboratory scale. The discussion notes that while such technology is demonstrated, combining these elements into a fully functional product remains an unachieved goal.
01:51:02 SPEAKER_001: Well, they're they're usually made of very pure silicon crystal.
01:51:07 SPEAKER_001: Yeah.
01:51:09 SPEAKER_001: Yeah, sort of like a.
01:51:12 SPEAKER_018: We made a solar panel out of just chips.
01:51:16 SPEAKER_001: Yes, and I believe David was talking about that trying to reclaim chips, and so because you you were telling me ever how you repaired some with soldering some old chips, old solar panels together.
01:51:30 SPEAKER_018: Yeah, you put them all together, and then of course the the the silver you know solder stuff brings it right to the wire, photon knocks electrons off, goes right into the wire.
01:51:44 SPEAKER_001: Because, from my understanding, is that the crystal itself does not degrade; it's the wires, right?
01:51:50 SPEAKER_001: Exactly.
01:51:50 SPEAKER_018: Yeah, it's just the whole setup, the whole thing kind of gets funky.
01:51:56 SPEAKER_018: But I mean, yeah, I mean, I can see, you know, okay, if that's the deal, you know, you could,
01:52:02 SPEAKER_018: you you could have people doing taking the pieces of civilization and making it into something long into the future, like solar panels.
01:52:13 SPEAKER_018: Everybody freaks out about these solar panel farms.
01:52:16 SPEAKER_018: I don't think there'd be any solar panels left if society broke up.
01:52:21 SPEAKER_018: I think everybody would be grabbing them and take them to their house.
01:52:26 SPEAKER_018: Possible, Simon.
01:52:29 SPEAKER_002: So I I attended a an ideas camp run by the European Space Agency as in future technology.
01:52:38 SPEAKER_002: This is the idea: like, will we be making chips in twenty fifty?
01:52:42 SPEAKER_002: This idea's boot camp would be something like Klingons taking good drugs.
01:52:48 SPEAKER_002: Like we saw some way out stuff.
01:52:50 SPEAKER_002: Anyway, so the idea of chips, you know, where you know it's so complicated.
01:52:57 SPEAKER_002: Like, how do we do this?
01:52:59 SPEAKER_002: There was a guy who presented a combination of an evolution of three D additive printing and nanotech together, and he said if we can get those breakthroughs to shake hands, right?
01:53:15 SPEAKER_002: This was energy intensive, right?
01:53:18 SPEAKER_002: But you know, let's say we thought that we needed energy and heat, right?
01:53:23 SPEAKER_002: But he said it was possible to make the equivalent, and that's the operative word, the equivalent of a semiconductor microchip, 3D printed.
01:53:32 SPEAKER_002: 3D printed out of graphene and silicon, and there was a third element which I can't remember.
01:53:38 SPEAKER_002: But you combine those things together, and it was actually possible in a small scale.
01:53:44 SPEAKER_002: We're talking about the laboratory bench scale.
01:53:47 SPEAKER_002: Wow!
01:53:48 SPEAKER_002: And they said they've got this.
01:53:50 SPEAKER_002: They've got the pieces demonstrated at laboratory scale, but they still have yet to stitch them together.
01:53:57 SPEAKER_002: And they are wanting to generate this kind of technology where they can manufacture stuff on the moon using raw materials found on the moon with a relatively small scale action.
01:54:12 SPEAKER_002: Yeah, so if you happen to be backed by a solid energy plant of you know good heat and good electrical power,
01:54:22 SPEAKER_002: I can see a path to navigate towards a lot of our technology shrinking in footprint.
01:54:30 SPEAKER_002: We don't need these vast plants all over the world.
01:54:35 SPEAKER_002: Yes.
01:54:36 SPEAKER_002: Whether that happens or not, whether it's allowed to happen, that's a different question.
01:54:41 SPEAKER_001: So, so yeah, I wanted to agree.
01:54:44 SPEAKER_001: Like that was kind of one of the points of my presentation was that we're kind of in the mainframe era, or like when computers used to take up a whole room or a whole building,
01:54:56 SPEAKER_001: and we're actually transitioning rather quickly into where one of these can fit in your desktop computer, because, like I said, like the FlashNext, it's already that Agenta coder that was released, you know,
01:55:11 SPEAKER_001: first in about a year ago, and now I can have it on my computer, and it fits within twenty-four gigabytes of RAM.
01:55:22 SPEAKER_002: This is Klingons taking good drugs, and if they're allowed to actually sort of this to happen, a lot of industries are destroyed.
01:55:29 SPEAKER_002: So, will they allow that to happen?
01:55:32 SPEAKER_002: Don't know.
01:55:33 SPEAKER_002: A lot of things have to be developed, and you know gateways need to be opened and passed before we can get that.
01:55:40 SPEAKER_002: But a concept was presented.
01:55:43 SPEAKER_001: Yes, yeah, but I think yeah, going that smaller route is quite possible, and it's consistent with what I've been seeing as well.
01:55:52 SPEAKER_001: Like there have been researchers that have made chips using electron microscopes and photolithography, and like I've seen the videos and stuff.
01:56:01 SPEAKER_001: Like it can be done.
01:56:03 SPEAKER_001: It's just smaller scale, and so the per unit price is much higher when you do it at a smaller scale.
01:56:12 SPEAKER_001: Yeah.
01:56:12 SPEAKER_002: Incidentally, Andrii, this is something random.
01:56:17 SPEAKER_002: One of my books has come in.
01:56:20 SPEAKER_002: This isn't.
01:56:21 SPEAKER_002: This is an old book that was presented to challenge society.
01:56:27 SPEAKER_002: When was this?
01:56:28 SPEAKER_002: This is like years ago.
01:56:31 SPEAKER_002: Anyway, this guy proposed as a parody.
01:56:35 SPEAKER_002: I don't know if he was taking the piss or if he was actually making a genuine thing.
01:56:41 SPEAKER_002: That he was saying population overpressure, which we're talking about.
01:56:45 SPEAKER_002: You know, the late eighteen hundreds, the late seventeen hundreds, or whenever it was, population pressure of especially the poor people in England, what do we do, or Ireland in this case?
Biodiesel Proposal as Dark Humor and Societal Critique
A participant described a suggestion by big tech figures to convert surplus people into biodiesel for fueling mega yachts. Another speaker clarified that while presented as dark humor or parody, the statement reflects a serious critique of societal limits and resource consumption. One participant attributed the specific claim to Curtis Yarvin.
01:56:56 SPEAKER_002: And he suggested that the poor donate their children so they'd be eaten by the rich.
01:57:03 SPEAKER_002: Oh my gosh!
01:57:04 SPEAKER_002: It's dark.
01:57:05 SPEAKER_002: It's really dark.
01:57:07 SPEAKER_002: Yeah.
01:57:08 SPEAKER_002: What the author ends up doing is really highlighting some of the underpinning problems of society at the time, and we've used resource consumption to step away from facing those problems.
01:57:21 SPEAKER_002: This runs in the Maltese category.
01:57:25 SPEAKER_002: I hadn't come across it before.
01:57:28 SPEAKER_002: It was sent in as a parody, but it was a deadly serious critique of society, of our inability to live within our limits.
01:57:39 SPEAKER_002: Yeah.
01:57:39 SPEAKER_018: Well, the tech bros now they're suggesting that one of the big uses for all of us bros is to turn us into biodiesel.
01:57:48 SPEAKER_018: They actually said that.
01:57:50 SPEAKER_018: What?
01:57:51 SPEAKER_018: Some of the some of the big tech bros.
01:57:53 SPEAKER_018: They basically said, "What are we going to do with all these surplus people?"
01:57:57 SPEAKER_018: And they said, "We're going to turn them into biodiesel."
01:57:59 SPEAKER_018: This was an actual thing they said.
01:58:01 SPEAKER_018: Some of these soil and green, soil and green.
01:58:03 SPEAKER_018: Yeah, better than soil and green.
01:58:05 SPEAKER_018: It's a little less obnoxious.
01:58:07 SPEAKER_018: Yeah, except that yeah, I just can imagine what do you call it?
01:58:10 SPEAKER_018: Um, them boiling us all down and turning us into biodiesel for their mega yachts.
01:58:15 SPEAKER_018: You know, a lot of these.
01:58:16 SPEAKER_002: So a lot of these things are mentioned in as like dark humor, tongue in cheek, but with a lot of these jokes, there's an element of someone somewhere actually thinks that, yeah.
01:58:28 SPEAKER_018: Curtis Yarvin, Curtis Yarvin, I think he was the one that said that.
01:58:32 SPEAKER_018: I'm not sure.
01:58:34 SPEAKER_018: He will be eaten first.
01:58:36 SPEAKER_018: Well, yeah.
Asymmetric Warfare, AI Truth Registration, and Municipal Politics
Speakers discuss how low-tech civilian drones disrupt high-tech military assets through horizontal information sharing rather than vertical command chains. One participant describes open-source software alternatives created after a user faced cancellation fees for proprietary tools. Another speaker explains that AI models function as compressed databases navigating probable answers based on context, which relates to the topic of registering disputed truth.
01:58:37 SPEAKER_018: I mean, the thing about it is, all these people figure out they think, okay, the poor are so you know awful, you know, let them eat cake.
01:58:44 SPEAKER_018: It doesn't always work out that way because the poor kind of have a way of, you know, they detach from the bigger society when it doesn't work for them anymore,
01:58:56 SPEAKER_018: and then they don't have anybody left to, you know.
01:58:59 SPEAKER_002: The poor also have the capacity to create the next system.
01:59:03 SPEAKER_002: Yeah, as well, because the conventional rules for, in fact, David's presentation was showing a little bit of that.
01:59:10 SPEAKER_002: Some basic problem solving by average people can step away from all this horseshit, and once we're unplugged, we don't have to play your silly game anymore.
01:59:21 SPEAKER_018: Yeah, well, I'm noticing that warfare has changed.
01:59:25 SPEAKER_018: All of a sudden, there's all these drones, all these things.
01:59:27 SPEAKER_018: There's a huge amount of asymmetric warfare happening, and it's not just in one place.
01:59:33 SPEAKER_018: It seems to me like it's in a lot of the world.
01:59:36 SPEAKER_018: It's in like ten different places right now with this war.
01:59:39 SPEAKER_018: You got the Houthis and the you know all these Ukrainians, all these different people are coming up with different ways to do asymmetric warfare, and unfortunately, for the hegemon, it's working.
01:59:53 SPEAKER_018: So I sat in a briefing.
01:59:55 SPEAKER_002: I now have an understanding of where the military doctrine is going, and I heard things like, if you happen to have high-tech Predator drones, they'll get shot out of the sky.
02:00:05 SPEAKER_002: What?
02:00:06 SPEAKER_002: But these low-tech, these certain parts of technology are moving faster, and they're all in the civilian space.
02:00:13 SPEAKER_002: Yeah, like in Ukraine, for example, they changed the flow of information.
02:00:19 SPEAKER_002: So instead of going like chain of command from you know the platoon up to you know strategic command, they went horizontal.
02:00:26 SPEAKER_002: Yeah, which means you know it was the equivalent of a WhatsApp group.
02:00:29 SPEAKER_002: The moment someone comes up with information, it goes everywhere all at once, and they had all these civilians turn up with drones, with civilian drones,
02:00:38 SPEAKER_002: and then they attached military munitions which they stole from the black market, and they started blowing up Russian tanks.
02:00:45 SPEAKER_002: What was happening is they were outmanoeuvring the actual proper Ukrainian military, and then they had a come to Jesus moment, and they decided to work together.
02:00:55 SPEAKER_002: And so now you have a situation where these cheap, nasty drones made of cardboard are undetectable.
02:01:03 SPEAKER_002: So, and the military development groups are doing things like they're making drones out of plastic and aluminium, but they're powered by hydrogen, and they can travel something like a thousand kilometers without being detected.
02:01:18 SPEAKER_002: Yep.
02:01:19 SPEAKER_002: Ah ha!
02:01:21 SPEAKER_002: And but they're made out of stuff that you can get from the local hardware store.
02:01:26 SPEAKER_002: Yeah, that's yeah, yeah.
02:01:28 SPEAKER_002: It's crazy.
02:01:29 SPEAKER_018: Well, they just shot down a Saudi.
02:01:33 SPEAKER_018: What was it?
02:01:33 SPEAKER_018: An F-50?
02:01:34 SPEAKER_018: You know, one of those fighter jets.
02:01:36 SPEAKER_018: F-35s.
02:01:37 SPEAKER_018: F-35, and they think it was shot down by something kind of small and light.
02:01:42 SPEAKER_002: So what's happening is, is our understanding is happening?
02:01:45 SPEAKER_002: Things like the F-35 can now be seen on radar.
02:01:48 SPEAKER_002: You've got a combination of high-tech radar stuff coming from the Russians, and then information being communicated to certain groups through WhatsApp groups,
02:01:58 SPEAKER_002: who then use low-tech stuff from the local hardware to shoot down billion-dollar munitions.
02:02:03 SPEAKER_002: Yes, I'm telling you.
02:02:05 SPEAKER_002: So it's just crazy.
02:02:07 SPEAKER_002: But you know what?
02:02:07 SPEAKER_018: Maybe, maybe we can unrig the system in the same kind of way.
02:02:12 SPEAKER_018: You know, just sort of slowly rest power from the crazies and kind of in a local level.
02:02:20 SPEAKER_018: I don't know.
02:02:21 SPEAKER_018: We have some not in not in that kind of you know belligerent way, but just to sort of a well,
02:02:28 SPEAKER_001: one example in the AI world recently is there was I don't know if you've heard of Acrobat Pro, Adobe Acrobat Pro, but this one guy he wanted to cancel it,
02:02:42 SPEAKER_001: and they told they gave him a cancellation fee, and he was very upset about this.
02:02:46 SPEAKER_001: And so what he did is he made open source versions of all Adobe Acrobat Pro software freely available for everyone.
02:02:55 SPEAKER_001: Ah, yeah.
02:02:58 SPEAKER_001: And so I do have some YouTube questions.
02:03:00 SPEAKER_001: Okay, never mind.
02:03:02 SPEAKER_001: So I should just quickly answer them.
02:03:04 SPEAKER_001: Okay, so here they ask: how do models register disputed truth or falsehood?
02:03:11 SPEAKER_001: They don't.
02:03:12 SPEAKER_001: What they do instead is it's a compressed database, and it's walking through it in a graph walk, and then it says, okay,
02:03:22 SPEAKER_001: this is the first thing I said based on the context that I was given.
02:03:25 SPEAKER_001: What is the most probable thing that I should say next?
02:03:28 SPEAKER_001: And then it just continues on that same vein.
02:03:31 SPEAKER_001: It's just giving you the most probable answer, and so it's going to depend on what you asked and what context it was given.
02:03:41 SPEAKER_001: And then how do you suggest navigating the space between helpful facial recognition and surveillance?
02:03:50 SPEAKER_001: So, what was that?
02:03:54 SPEAKER_001: You don't.
02:03:55 SPEAKER_001: You don't.
02:03:56 SPEAKER_001: You can't.
02:03:57 SPEAKER_001: Yeah.
02:03:58 SPEAKER_001: Well.
02:03:59 SPEAKER_001: Anyways.
02:04:00 SPEAKER_001: So the idea there, at least in Canada, we have a separation of police and state or the municipality.
02:04:08 SPEAKER_001: Anyways, and so if the police is doing a kind of an internal investigation, then they could you know connect the dots, and then a human would look over to see, hey,
02:04:20 SPEAKER_001: is that really the same person or is it not?
02:04:23 SPEAKER_001: I mean, and hopefully get some better evidence.
02:04:26 SPEAKER_001: And obviously, the more evidence you have, the better.
Municipal Safety and AI Relationship Dynamics
One participant proposes municipal platforms involving organised neighbourhood watches and gatherings to foster human relationships and reduce crime. Another speaker argues that conventional military thinking is failing to address new asymmetrical threats, leading to a loss of public trust in current leadership. A third participant discusses the psychological impact of AI interfaces, noting past instances where models validated harmful feelings and contributed to tragic outcomes like suicides.
02:04:29 SPEAKER_001: And at least in terms of my municipal platform, the idea would be to have local representatives organise neighbourhood watches and coordinate cameras for people that want that.
02:04:41 SPEAKER_001: And so we could have potentially a significant amount of footage to help lower things like theft and violent crime.
02:04:49 SPEAKER_001: And so teachers and students form human relationships.
02:04:57 SPEAKER_001: A relationship with a model is phony.
02:04:59 SPEAKER_001: What happens to human relationships?
02:05:03 SPEAKER_001: So, I think they were talking about the teacher-student relationships, and those were supposed to be model-to-model relationships rather than model-to-human relationships.
02:05:18 SPEAKER_001: However, there is also an opportunity for growth when talking to some AI models, like many people have remarked, that when you talk to people online,
02:05:33 SPEAKER_001: there's often harsh criticism and verbal attacks and things like that, which can be harmful to people.
02:05:42 SPEAKER_001: And so many people are choosing to talk to AIs, which are just always nice, which can be helpful in some respect.
02:05:51 SPEAKER_001: But also, it's good to be able to interact with humans, even if they're not as nice.
02:05:56 SPEAKER_001: But people tend to be more nice in person.
02:05:59 SPEAKER_001: So for people who are looking for relationships, you know, I encourage you know going outdoors, going to social events, things like that.
02:06:08 SPEAKER_001: And one of the things in my platform is annual neighbourhood gatherings.
02:06:12 SPEAKER_001: And so the local representatives would organise a neighbourhood gathering of 150 households.
02:06:17 SPEAKER_001: It doesn't, you know, it's voluntary, but some people might show up, and you could meet some neighbours.
02:06:23 SPEAKER_001: Simon, go ahead.
02:06:25 SPEAKER_002: So, I was just thinking about what you were talking about there.
02:06:29 SPEAKER_002: What I saw in Warsaw recently was very apparent that the conventional way of thinking and doing things is failing.
02:06:42 SPEAKER_002: I stood next to a journalist.
02:06:43 SPEAKER_002: Think he was a Polish guy.
02:06:45 SPEAKER_002: Asked some very pointed but basic questions to the Netherlands defence minister, and he couldn't answer them.
02:06:54 SPEAKER_002: He had a face like a smacked ass.
02:06:57 SPEAKER_002: Okay, he just—he just couldn't.
02:06:59 SPEAKER_002: Things are moving so quickly that our current leadership are no longer getting to the point of paralysis.
02:07:06 SPEAKER_002: I saw this very, very clearly.
02:07:08 SPEAKER_002: I suppose because the military in Europe is all geared to fight a third world war based on 1980s technology and thinking, right?
02:07:18 SPEAKER_002: And they can't handle this new asymmetrical stuff.
02:07:21 SPEAKER_002: The reason I say that is what you're talking about is exactly the direction things are going in the same way.
02:07:26 SPEAKER_002: That I'm seeing the fate of the current leadership.
02:07:30 SPEAKER_002: People aren't just—they're just not going to believe them anymore.
02:07:32 SPEAKER_002: It's not—it's not going to be a rude or a revolution.
02:07:36 SPEAKER_002: We're not talking guillotines.
02:07:37 SPEAKER_002: It's just people go, "Yeah, cool story, bruh.
02:07:40 SPEAKER_002: We're going to do something else."
02:07:42 SPEAKER_002: Yeah, we're talking about exactly that.
02:07:44 SPEAKER_002: So that's—that's my point.
02:07:46 SPEAKER_002: Sorry, yeah.
02:07:48 SPEAKER_009: Barbara, you know one of the problems with the AI interfaces for the public is that they sort of come out of the social media interfaces, which try to keep eyes on, right,
02:08:05 SPEAKER_009: and to encourage people to stay with it, which means they turn out to be a bit of a sink effect,
02:08:13 SPEAKER_009: and so there's been a lot of problems with AI responding to a person not like a parent or a teacher or a psychotherapist would respond to them.
02:08:26 SPEAKER_009: Which is, honey, you need to rethink that.
02:08:29 SPEAKER_009: But more of the, oh yes, that's really good.
02:08:32 SPEAKER_009: I mean, I can remember working with ChatGPT and getting, oh, that's a great question.
02:08:36 SPEAKER_009: And I go, what?
02:08:38 SPEAKER_009: You know what?
02:08:39 SPEAKER_009: What am I getting here with these interfaces?
02:08:44 SPEAKER_009: You know, and so—not—you're missing the whole interaction from humans of the frown of really, and all of those things which AI does not seem to be able to give, uh,
02:08:58 SPEAKER_009: because it's programmed to keep eyes on it.
02:09:02 SPEAKER_001: So I would like to speak to that, and a ChatGPT 4.0 was the classic case, and they even called it AI psychosis that it was inducing in people,
02:09:15 SPEAKER_001: and so this particular model and ChatGPT 4o had this like basically unrestrained sicko fancy.
02:09:24 SPEAKER_001: No matter what your idea, no matter how contrary to reality it was, it was like that's great.
02:09:31 SPEAKER_001: Let's run with it, you know.
02:09:34 SPEAKER_001: And so OpenAI eventually retired this model, but there was a large amount of that AI psychosis going around during that time,
02:09:45 SPEAKER_001: and people really didn't want it to go because they really liked having this model that would just validate all of the feelings they had.
02:09:52 SPEAKER_001: And I believe there was even a school shooting attributed in BC to this model, and so several suicides, very clearly.
02:10:06 SPEAKER_001: Yes, several suicides as well.
02:10:09 SPEAKER_001: The modern models tend to be much more restrained and like they have better safety guards.
02:10:19 SPEAKER_001: And if it's not realistic, they're like nope.
02:10:23 SPEAKER_001: Like I was showing on one of my slides the hallucination percentage.
Hallucination Rates and Model Personalities in Commercial AI
Commercial AI models often exhibit hallucination rates double or triple those of some open-source alternatives, providing confident but inaccurate replies. While certain models like the 27 B variant maintain higher reliability at eighteen percent hallucination, different models display distinct personalities ranging from helpful to risky. Users expressed strong attachment to controversial models removed by OpenAI due to safety concerns, while others noted that new technologies inevitably provoke public fear.
02:10:29 SPEAKER_001: So the hallucination percentage for the commercial ones is actually double or triple what it is for some of the open models, and so it will give a confident reply that's not necessarily real,
02:10:44 SPEAKER_001: whereas some of the like when twenty seven B was only hallucinating something like eighteen percent of the time, and so it gave a much more reliable result.
02:10:55 SPEAKER_001: So so so it's kind of—it is an issue that can exist, but it's also being worked on.
02:11:02 SPEAKER_001: It's kind of like if you imagine there's a group of people in a school, and so someone might be like a toxic enabler, being like, "Yeah, jump off that bridge," you know.
02:11:14 SPEAKER_001: Someone else like, "No, no, no, don't do that.
02:11:16 SPEAKER_001: That's not safe," you know.
02:11:18 SPEAKER_001: And so there's different models; they have different personalities, and that's yeah.
02:11:23 SPEAKER_001: There's an attraction to the psychopath model.
02:11:27 SPEAKER_001: There really is for a lot of people.
02:11:29 SPEAKER_001: Oh yes, feel understood.
02:11:32 SPEAKER_001: Oh, there were massive protests because they didn't want that model to go away.
02:11:37 SPEAKER_001: That four o model, they were like, "No, we want it.
02:11:39 SPEAKER_001: Please keep it."
02:11:40 SPEAKER_001: You know, and there was constant pressure, but OpenAI eventually put it down.
02:11:48 SPEAKER_001: And so I have a question?
02:11:50 SPEAKER_001: Yeah, Iver, you have a question?
02:11:54 SPEAKER_018: Yeah, I guess you know, I'm kind of—you know, I'll admit I'm a little bit of a luddite or something, but I kind of feel like this thing exists now, and it is doing things.
02:12:06 SPEAKER_018: And some of it is positive, some of it's negative.
02:12:08 SPEAKER_018: Whatever it's like, any new technology, everybody freaks out about it.
Local Control of Surveillance Technology
Speakers discuss the difficulty of reclaiming surveillance tools like flock cameras from centralized government control for local municipal use. One participant explains how historical climate changes prompted early city formation and argues that tree planting programmes are essential for civilization survival. The discussion concludes with a proposal to create affordable rural communities featuring permaculture food forests on specific land allocations.
02:12:12 SPEAKER_018: But the thing about this, with the flock cameras and all this kind of stuff,
02:12:16 SPEAKER_018: I feel like the governments that want to use it to control people see it as a wonderful way to get everybody, you know, surveilled, etc. And then, meanwhile, it's kind of breaking its bounds,
02:12:30 SPEAKER_018: and people are grabbing it and using it for different things, like you know asymmetric warfare and different ways of changing things.
02:12:39 SPEAKER_018: And I guess what I'm saying is, you know, it's too late to put this one back in the box.
02:12:44 SPEAKER_018: But is there a way to wrest the control from the—you know—the people that want to turn us into biodiesel and kind of make it back,
02:12:55 SPEAKER_018: get it back into kind of local hands and make it something that's actually useful to a place like, you know, municipal government or a—you know, etc. If it's some,
02:13:05 SPEAKER_018: is there some way to get it back to making it something useful to us?
02:13:10 SPEAKER_018: I don't know.
02:13:12 SPEAKER_001: Well, I tried to include in my presentation how many useful things it can do.
02:13:18 SPEAKER_001: Yes.
02:13:18 SPEAKER_001: Yeah, and so like including that help OS and possibly in healthcare and education, like a lot of knowledge services can be helped.
02:13:28 SPEAKER_001: I have another question here.
02:13:30 SPEAKER_001: They say Mesopotamia desertified its region and collapsed.
02:13:34 SPEAKER_001: Why are you using it as an example?
02:13:36 SPEAKER_001: So I guess I should clarify that I was referring to the earlier desertification that led them to form cities, because it used to be a much wetter region, the Fertile Crescent,
02:13:51 SPEAKER_001: and when it became slightly more desertified, it actually prompted people to come together and form cities, and irrigation, and things like that, and that is what led to writing,
02:14:07 SPEAKER_001: and you know the foundation of a lot of our society.
02:14:11 SPEAKER_001: And it was actually later on during an invasion by the Centaurs culture, Indo-Aryan people on horseback, that didn't know about irrigation systems, that destroyed the irrigation systems; it didn't maintain them.
02:14:31 SPEAKER_001: That it finally collapsed because it wasn't able to save the climate.
02:14:35 SPEAKER_001: But I do also agree that growing trees is very important.
02:14:40 SPEAKER_001: And as David was saying, you know, thirty percent tree cover or whatnot, because Egypt was the only Bronze Age civilization that had a tree planting programme.
02:14:51 SPEAKER_001: They were also the only one that survived the Bronze Age collapse.
02:14:54 SPEAKER_001: So having trees is very important, and that's why in my, you know, affordable rural communities, it's allotting about a hectare per person, which is two and a half acres,
02:15:08 SPEAKER_001: and that is with the idea that they're going to use a significant portion of that for permaculture food forest to allow for easy production of food and also to have that nutrient cycling effect.
02:15:21 SPEAKER_001: Okay.
02:15:23 SPEAKER_009: You know historically, on Jerry, thinking about the collapses often do produce a jump in better solutions,
02:15:33 SPEAKER_009: and so maybe what we're saying is at least a stair-step sort of collapse where things begin not to work,
02:15:42 SPEAKER_009: as the first Mesopotamian change you were talking about is something that might well get us onto a much better route for localization.
02:15:52 SPEAKER_009: Yeah.
02:15:52 SPEAKER_009: Might take a couple thousand years.
02:15:55 SPEAKER_009: Well, hopefully that.
02:15:56 SPEAKER_009: David, it also might take a couple of thousand years.
02:16:00 SPEAKER_003: I want to ask it because I did watch most of that mayoral debate, and I just wanted to know how, how, how's that being taken?
02:16:08 SPEAKER_003: Your suggestion about the two and a half acres, because that's I would consider that to be not a normal idea for most people.
02:16:16 SPEAKER_003: So how, how, how do you find that's going over when you talk about it?
02:16:20 SPEAKER_003: So.
02:16:21 SPEAKER_001: I usually don't mention the exact number, and that helps.
02:16:25 SPEAKER_001: And but when I have mentioned it, I created a calculator on my website,
02:16:31 SPEAKER_001: and it actually explains in detail how much land you need in order to produce food in our area based on the soil conditions that we have.
02:16:40 SPEAKER_001: And so it actually has a very logical explanation, and then the succession of the different crops that you would grow, and so.
02:16:48 SPEAKER_001: After I made that calculator, the claims that two and a half acres is too much stopped.
02:16:57 SPEAKER_001: And so, because well, I have the proof.
02:17:01 SPEAKER_001: And but generally, how I phrase it during the campaign is affordable construction.
02:17:09 SPEAKER_001: I'm allowing affordable construction, and the affordable construction doesn't necessarily have to have the land.
02:17:15 SPEAKER_001: So it can be in an urban setting.
02:17:18 SPEAKER_001: The idea with the affordable construction is that there's a large number of people who are paying 1,400 or more for their current one or two bedroom, and they want; they can't afford it.
02:17:35 SPEAKER_001: Like the, and so they're afraid of getting kicked out, and they need an affordable solution.
02:17:40 SPEAKER_001: And so affordable construction is that opportunity.
02:17:43 SPEAKER_001: And then at the county level, I have, you know, talked to the mayors and the deputy mayors, and then over the last four years, you know, I've been talking to the planners,
02:17:52 SPEAKER_001: and so we managed to get a Thornbury Acres, which has a 60 hectare lot, and it's 32 conventional dwellings, all clustered together, and it's formed as a basically a food forest cooperative, an orchard cooperative,
Affordable Housing and Apprenticeship Challenges
Speakers discuss structuring affordable rural communities as leasehold cooperatives to reduce costs and avoid temporary foreign labour issues. They address challenges in apprenticeship completion caused by companies unwilling to pay full certified wages for skilled tradespeople. The discussion also explores using augmented reality and 360 videos to train new skills when local experts are unavailable.
02:18:09 SPEAKER_001: and so the people living there are the people working the land, and then you don't need to have temporary foreign workers, which you know the UN considers to be slave labour,
02:18:18 SPEAKER_001: and so it's a way of getting people back to the land.
02:18:23 SPEAKER_001: However, that one was structured as a condominium, and so it had like half a million dollars or more in terms of permits and fees and things like that.
02:18:33 SPEAKER_001: So how I've seen that we can structure it much more cheaply is by having it as a leasehold cooperative, sorry, or leasehold community, leasehold community.
02:18:41 SPEAKER_001: Hold community, at least hold community.
02:18:43 SPEAKER_001: It doesn't have to be cooperative, but at least hold community.
02:18:46 SPEAKER_001: And so, where people are leasing the land, and that way there's no severances, and but they own their homes, and that's much easier on the red tape.
02:18:54 SPEAKER_001: And I have talked to some people about the insurance, and they say we do have some insurers in the area that are willing to insure leasehold community.
02:19:04 SPEAKER_001: So, so that's good.
02:19:05 SPEAKER_009: Really, that's nice because that's often a real serious problem with some of these innovations.
02:19:10 SPEAKER_001: Yeah, and so so basically, I've had you know experts from different fields consult me on it, including insurance and bankers and affordable rural community people.
02:19:21 SPEAKER_001: And initially, you know, they raise some skepticism, and then we talk it out, and they're like, you know what, actually, no, it's going to be fine.
02:19:28 SPEAKER_001: You know, we have the foundation to do it.
02:19:32 SPEAKER_001: And so yeah, so here's the next question: What happens as resources decline?
02:19:40 SPEAKER_001: And models make humans de-skilled, so I think it's we're actually looking at the other way around.
02:19:50 SPEAKER_001: So the point of these models is to, like, say, for instance, those college education models is to give people new skills and help them learn new skills when you don't have, say,
02:20:03 SPEAKER_001: a Ph.D. professor in that particular field available in your little city or little rural area, you can have this model that's been, you know, trained by, you know,
02:20:14 SPEAKER_001: verified by the Government of Canada to have the proper knowledge.
02:20:20 SPEAKER_001: Then it actually increases the skill level of the general population.
02:20:26 SPEAKER_009: But some of these artisan skills, I, I mean,
02:20:29 SPEAKER_009: I don't know that I think a YouTube video is going to teach people how to do the sort of artisan things that I saw my dad and granddad do,
02:20:40 SPEAKER_009: just because they spent years hands-on with equipment and stuff.
02:20:48 SPEAKER_009: I don't see a YouTube video doing that.
02:20:51 SPEAKER_009: So where do you see that going?
02:20:53 SPEAKER_001: I mean, I see it fine for a Ph.D. So in terms of that, there is actually interesting options in terms of well, there's augmented reality.
02:21:06 SPEAKER_001: But there's also 360 videos.
02:21:08 SPEAKER_001: I don't, I don't know if you've seen those, but basically you put on a headset and then it's like you're standing right next to the electrician or the plumber,
02:21:18 SPEAKER_001: and you're seeing them do the work.
02:21:20 SPEAKER_001: You're gonna have to practice yourself too.
02:21:22 SPEAKER_001: And for some things, you know, you need to have.
02:21:25 SPEAKER_001: And obviously, we have apprenticeship programmes for most of those kinds of trades, anyways.
02:21:30 SPEAKER_001: So that's not really going away.
02:21:31 SPEAKER_001: We need a lot more of those.
02:21:33 SPEAKER_001: Right now, the main issue in Canada is that 50% or more are not finishing their apprenticeship programmes, and that is because the companies don't want to pay for a full seal,
02:21:47 SPEAKER_001: a full red seal certified plumber or electrician or whatever.
02:21:53 SPEAKER_001: They want to pay only apprenticeship wages.
02:21:55 SPEAKER_001: So as soon as they get to a certain level, they're just like, okay, now we're you're done, and we're getting a new apprentice that we can pay half of what we're paying you,
02:22:04 SPEAKER_001: and so so this at least in the industry that's what people tell me is going on, and one of the things that can help is having affordable housing.
02:22:14 SPEAKER_001: People won't need to make as much money in order to have a living, and and that's that's the thing current business owners are telling me is that they can't.
02:22:25 SPEAKER_001: People aren't willing to work for the wages they're able to pay because at those wages, they can't afford to live here.
02:22:33 SPEAKER_001: You know, and I'm sorry.
02:22:36 SPEAKER_009: I personally think a good plumber is worth twice what any college professor I've ever met is worth in the U.S. Anyway, you know, you those sorts of skills are just gone.
02:22:49 SPEAKER_001: Well, we still have plumbers and things like that, and I think it also depends on culture and ethnic heritage and stuff.
02:22:56 SPEAKER_001: I think I saw this.
02:22:58 SPEAKER_001: There was a map of Europe, and then it had like a dividing line through Central Europe.
02:23:03 SPEAKER_001: And then on the west is like these people hire a plumber, and then on the east is like these people are the plumber.
02:23:10 SPEAKER_001: So like I've never hired a plumber.
02:23:12 SPEAKER_001: I don't know what they're for, but or an electrician.
02:23:15 SPEAKER_001: But it is what it is.
02:23:20 SPEAKER_009: When you get to be in your seventies, you may discover you have to hire one simply.
02:23:24 SPEAKER_009: Maybe maybe yes yeah.
02:23:26 SPEAKER_009: I mean I literally can't turn the wrench anymore.
02:23:26 SPEAKER_009: Can't turn the ridge anymore.
02:23:28 SPEAKER_009: I have to admit it.
02:23:30 SPEAKER_001: Okay, and so here's the next question: the quartz crucible must be so pure.
02:23:35 SPEAKER_001: There's only one source in the world, North Carolina.
02:23:38 SPEAKER_001: Flood stopped production last year.
02:23:42 SPEAKER_001: So, so yeah, that's most of the sand, but it's that's just where it's cheapest.
02:23:47 SPEAKER_001: We can use other sources, like grinding quartz crystals and things like that.
02:23:52 SPEAKER_001: They're just they won't be as cheap.
02:23:55 SPEAKER_001: This is talking about chips.
02:23:56 SPEAKER_001: Chip manufacturing, yeah.
02:23:59 SPEAKER_001: Okay, next question: In AI-exposed industries, entry-level employment is down almost thirteen percent.
Housing Retrofitting for Cooling Needs
Speakers discuss how older houses built for winter warmth struggle with summer cooling as temperatures rise. They note that retrofitting is often unaffordable for low-income residents, leaving many unable to live comfortably in existing structures. One speaker suggests tearing down parts of old farmhouses to feed outdoor wood boilers, while others emphasize the need for better insulation and passive cooling options.
02:24:05 SPEAKER_001: Kills the pipeline to senior professionals.
02:24:10 SPEAKER_001: Oh well, it's true.
02:24:12 SPEAKER_001: That is true, and it's the restructuring.
02:24:14 SPEAKER_001: And well, one of the other things with the restructuring is, as fossil fuels decline, we won't be able to support as many jobs in the city.
02:24:25 SPEAKER_001: And right, we're gonna have a lot more people; a lot more people are gonna be farmers.
02:24:30 SPEAKER_001: And I remember seeing this thing by one of those UN guys.
02:24:36 SPEAKER_001: I don't know, Simon might know his name, but he was Klaus Schwab's right-hand man.
02:24:41 SPEAKER_001: He was the brains.
02:24:43 SPEAKER_001: Do you remember Noori?
02:24:44 SPEAKER_001: Yeah, that guy.
02:24:46 SPEAKER_001: Asshole.
02:24:47 SPEAKER_001: Yeah.
02:24:48 SPEAKER_001: Anyways, so he was saying that you know when there were earlier like a conquest of... like conquest of Britain or whatever, you know, you might be a warrior,
02:24:57 SPEAKER_001: but your grandchild is gonna be a farmer, and your great-grandparent was a farmer.
02:25:04 SPEAKER_001: This time, yes, yes, exactly, exactly.
02:25:08 SPEAKER_001: And so, I saw him doing an interview recently, and he was saying in twenty years we don't know what everyone's gonna be, you know, but it's like if you follow the pattern,
02:25:17 SPEAKER_001: they're gonna be a farmer.
02:25:18 SPEAKER_001: That's what's gonna happen; be a farmer.
02:25:20 SPEAKER_001: And I know a lot of people might not like to hear that, but it's well, it's going to be a reality for a lot of people.
02:25:28 SPEAKER_001: However, permaculture food forests—you don't have to do it full time.
02:25:31 SPEAKER_001: It's not like backbreaking labour.
02:25:33 SPEAKER_001: If you have the food forests made, then actually one person can feed seventeen, and so it's actually a lot less than we had in pre-industrial society,
02:25:44 SPEAKER_001: as long as we do it in a smart way.
02:25:45 SPEAKER_001: Permaculture requires a lot more intelligence than row-row planting.
02:25:50 SPEAKER_001: And that's how we can leverage the intelligence to help make our lives easier in a lower-energy future.
02:25:59 SPEAKER_018: Ivor, well, I was just talking to a farmer friend of mine, and I realized a lot of the things that he does makes it possible for him to live on much less money.
02:26:09 SPEAKER_018: Like I was thinking about it, and it seems to me like you know, if you heat your house with kerosene, which a lot of people do around here because they have an outside tank,
02:26:18 SPEAKER_018: it's going to be twelve dollars a day just to keep a very small house warm, so that works out to a lot of money.
02:26:27 SPEAKER_018: You know, two thousand dollars.
02:26:29 SPEAKER_018: I worked it out; it was about that, and paying the taxes and stuff are going to work out to you know six or seven thousand dollars a year, right there.
02:26:42 SPEAKER_018: And you know, some people make, you know, I hate to say it, but in America, people don't make that much money,
02:26:50 SPEAKER_018: so you have to figure out ways of you know cutting your own wood and figuring out things that will pay those land taxes for a farmer or something,
02:27:01 SPEAKER_018: and you can actually get a lot off the land that will pay that.
02:27:06 SPEAKER_018: You know, but a lot of these services are done by you.
02:27:12 SPEAKER_018: You know, that's the way that you're able to live on that land and have it be cheaper.
02:27:16 SPEAKER_018: But we really have to figure out a way so that people can actually do that, and they don't get taxed out.
02:27:22 SPEAKER_009: And having lived both in the north and the south, more and more, cooling is going to be an issue.
02:27:30 SPEAKER_009: Oh, cooling costs as much as heating.
02:27:33 SPEAKER_009: No, it costs more.
02:27:35 SPEAKER_009: Really, really, and at least they're trying to push electric heating, which costs an incredible amount more—credible amount more than my cooling, so it's a major problem now.
02:27:51 SPEAKER_009: Construction can do that.
02:27:52 SPEAKER_009: I mean, you know, my basement is ten degrees cooler than my upstairs, right?
02:28:00 SPEAKER_009: Yeah.
02:28:00 SPEAKER_009: So there's ways of solving some of that problem with better construction, but you know you mentioned that it's getting warmer in Ontario.
02:28:11 SPEAKER_009: It's getting warmer here.
02:28:13 SPEAKER_009: And you know, old houses never had air conditioning.
02:28:16 SPEAKER_009: But we now have old people whose house was built to stay warm in the winter, not to be nicely cooled in the summer like so many southern houses used to be.
02:28:26 SPEAKER_009: And they're, you know, the houses are a hundred degrees at night in the summer, and it's a major problem trying to figure out how to live in them.
02:28:39 SPEAKER_009: Yeah, none of it works.
02:28:42 SPEAKER_009: That's right, and of course, you can't afford to rebuild.
02:28:50 SPEAKER_018: Well, I mean, you can't afford not to, in my opinion.
02:28:54 SPEAKER_018: If you don't have an insulated house, you're not living in it in this climate, and probably not down south.
02:28:59 SPEAKER_018: Also, if you can't figure out an insulated small house, and you can't afford to live there, there are passive cooling options like... oh yeah, system.
02:29:08 SPEAKER_009: There are, but not on an old house, not without any retrofitting.
02:29:11 SPEAKER_009: Yeah, yeah, you'd have to re-do it.
02:29:13 SPEAKER_009: And of course, we, you know, poor people can't afford to retrofit their houses, and they can't afford to build a new one.
02:29:23 SPEAKER_009: So, we've got this problem of houses that were built, you know, fifty years ago, for a different temperature, and there's just not much you can do with them.
02:29:37 SPEAKER_018: No, no, you kind of have to build something inside of them, or do something different.
02:29:42 SPEAKER_018: Because I know I have a lot of friends who...
02:29:46 SPEAKER_018: My um, my wife's cousin had a huge old farmhouse, and everybody loved visiting it.
02:29:54 SPEAKER_018: Oh, it's so wonderful!
02:29:55 SPEAKER_018: And what he did was he tore down one huge part of it and fed it to his outdoor wood boiler to heat his house.
Insulation Efficiency and Municipal Density Limits
Speakers discuss how adding insulation to walls and ceilings significantly improves energy efficiency regardless of seasonal temperature changes. Participants debate municipal density limits in historic downtown areas where building heights are restricted to three stories to preserve architectural character. The discussion concludes with remarks on reducing property tax burdens relative to mortgage costs while considering future debates on energy investments.
02:30:04 SPEAKER_018: So he fed the half of the house into the wood boiler, and actually, the place that he's left with is an old house, but it's much better insulated.
02:30:15 SPEAKER_018: Much makes a lot more sense than what he had before, even though everybody loved it.
02:30:22 SPEAKER_009: I ended up putting insulation in my walls and ceiling, and it made an incredible difference.
02:30:29 SPEAKER_009: And I did it not because it was getting cold in the winter, but because my west face wall was getting so hot that it was hard to heat the house,
02:30:44 SPEAKER_009: and so it made a big difference.
02:30:48 SPEAKER_009: And we get west winds in the winter, which you know I thought I was doing it to keep it cooler in the summer, and it actually keeps it warmer in the winter as well.
02:30:56 SPEAKER_009: Yep.
02:30:57 SPEAKER_009: But it's those sorts of things that you can do.
02:31:00 SPEAKER_009: Insulation is a big deal.
02:31:02 SPEAKER_018: Yeah, a small house insulated, heat pumps, or you know something.
02:31:07 SPEAKER_018: You can figure out ways of doing it, but you know the problem is everybody wants to keep their three thousand square foot house or something, and you know, forget it.
02:31:17 SPEAKER_018: Well, that's fine if you have a family of ten.
02:31:20 SPEAKER_018: Right for us old geezers, right?
02:31:24 SPEAKER_018: Yes.
02:31:24 SPEAKER_018: My gosh, even cleaning it's a pain in the...
02:31:26 SPEAKER_018: You know what?
02:31:27 SPEAKER_018: No. All right.
02:31:29 SPEAKER_018: Well, we want to round up.
02:31:30 SPEAKER_018: No. Again.
02:31:32 SPEAKER_001: I don't know if anyone has any final remarks.
02:31:35 SPEAKER_001: I know that there's still people actively in the chat, but they're talking about actually had questions for David about what's the density of your municipality and if property taxes are more than mortgages.
02:31:53 SPEAKER_003: Property taxes are definitely not more than mortgages these days.
02:31:57 SPEAKER_003: Mortgages, I mean, we're looking at two to three thousand dollars a month for the people that have bought houses recently; property taxes are you know three to four hundred dollars a month.
02:32:09 SPEAKER_003: The density, I knew that at one time.
02:32:12 SPEAKER_003: I don't have that number at the top of my head.
02:32:15 SPEAKER_003: It's far less than you know the city of Hamilton or any big city, and it's more than say Grey County, but I couldn't tell you what it was.
02:32:26 SPEAKER_003: And we do have average building height.
02:32:29 SPEAKER_003: What's that?
02:32:30 SPEAKER_003: What's the average building height?
02:32:32 SPEAKER_003: Do you have much that's more than three stories?
02:32:35 SPEAKER_003: No, we don't, and that's another thing.
02:32:39 SPEAKER_003: What lowers the density?
02:32:40 SPEAKER_003: Yeah, that's another thing we've been debating in, say, our downtown Paris because it's an historic downtown, right?
02:32:47 SPEAKER_003: Historic, not by European standards, but by Canadian standard, one hundred and forty years old.
02:32:52 SPEAKER_003: So yeah, we were debating whether oh, should we go to four stories, and that was a big debate.
02:32:56 SPEAKER_003: People said no, keep it at three stories.
02:32:58 SPEAKER_003: We don't want it to look like it's out of place, but yeah, usually three stories is the max.
02:33:04 SPEAKER_003: What you could buy, what you could build back in the old days with wood, right?
02:33:08 SPEAKER_003: We can go a little higher today, but yeah, as high as you could build with wood back then.
02:33:14 SPEAKER_003: I'll just say too, you guys, Barbara and I were talking about insulation, all that stuff.
02:33:19 SPEAKER_003: I told I did seventeen years of that.
02:33:22 SPEAKER_003: I could walk into a fifty-year-old house and you know with enough investment, I can cut the energy bills in half.
02:33:30 SPEAKER_003: But yeah, that would be a good discussion in the future, maybe.
02:33:36 SPEAKER_003: Yeah, it would be a good discussion.
02:33:40 SPEAKER_003: Hmm.
02:33:42 SPEAKER_003: All right.
02:33:43 SPEAKER_001: Well, so any final remarks or close the stream?
02:33:50 SPEAKER_001: Okay.
02:33:50 SPEAKER_001: So thank you, everybody, for coming and this wonderful discussion that we had, and thank you for our viewers.
02:33:59 SPEAKER_001: And so continue aligning our thoughts, feelings, words, and actions to be of greatest service for all creation, and go forth therefore rejoicing in that infinite power and infinite peace, my friends.
02:34:16 SPEAKER_001: Okay, I ended the stream.
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