Harnessing Collective Intelligence better than LLMs w/ Sean Geobey

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AI systems LLMs tend towards model collapse if all that they are fed is the outputs of other AI systems, because it needs to feed on those individual intelligences in order to survive.
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If it doesn't, it breaks down.
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When these sort of collective intelligence aggregation tools are used in a way which are essentially there to substitute for human judgment decision-making values and ethics rather than support human decision-making, values, and ethics, that's when they can get very dangerous.
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The main thing that impacts people's lives day to day is their economic positioning.
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And if that's off the table for political discussion, well, what's left?
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And what's left is often the most destructive thing.
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The easiest thing to create in crypto or meme coins.
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For whatever reason, regulators are like, oh, you're just purely speculative nothing.
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Fine, go for it.
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Let three is a world that fundamentally exists in silica.
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It exists in a virtual space.
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And wherever there are the connection points between the virtual space and the material world, things are always messy.
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You know, my view of risk as a worker is that yes, I'd like to make more money this week, but it's more important to me that I make it home alive this week.
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Hi everyone, you're listening to the Blockchain Socialist Podcast.
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And today I am here with Sean Gobi, who is an associate professor at the University of Waterloo and director of Group Think Labs.
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Um, this was one of the rare times where someone reaches out to me asking about coming on the podcast, and I say yes, because after I looked into a lot of Sean's work, I was really impressed with his research and learnings to maybe uh to roast bread cooperative a little bit, which is the worker cooperative that I started where we build solidarity finance applications using centralized technology like crypto.
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But maybe before we do that, Sean, if you want to give a quick introduction.
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Uh thanks, Josh, and thanks for having me on.
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I've been a listener of the blockchain socialist podcast for a while.
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I thought it was great.
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I am a professor in social entrepreneurship at the University of Waterloo, which for your listeners who might not be familiar with it, it's sort of the leading tech and engineering university in Canada.
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Um and uh in that space, so I teach social entrepreneurship regularly, uh, alternative approaches to finance and governance for startups and business conversions, with particular interest in nonprofit, cooperative, and social enterprise models.
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I think often been of interest to me in the web 3 space is that there is a lot of promise and potential for large-scale decentralized decision making there and collective economic action.
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Um and in way and there's a lot of directions it can go which are uh really promising, which is why I I like that uh bread co-op is is getting up and running, and that the blockchain socialist and some similar, more progressive uh approaches to thinking about Web3 are there, and also a lot of directions in which this movement can be absolutely terrifying and embed the worst aspects of kind of modern capitalism and make them possibly m even more destructive than a lot of uh those aspects have been to our societies, our economies, and our environments.
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There's plenty, plenty of bad to talk about in the world of crypto, but I think one of the things, a research kind of area that you do is on collective intelligence, which I think is like at least for me, is one of those things that at least I have like felt my work is always trying to like find and discover and cultivate in ways that like move towards a progressive direction of like harnessing that collective intelligence for a collective, for the collective, rather than kind of like the way that collective intelligence is kind of like siphoned off by or taken advantage of by by large corporations.
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Before we like talk about that specifically, I think it would be good to maybe define what collective intelligence is and what maybe you mean by it as someone who's you know been in that you know research space for so long.
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Like what how how do you define collective intelligence?
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Yeah, there's definitely a lot of ways that people could approach a term like that.
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I view it from a perspective which is much more grounded and practical, which is collective intelligence is um how people, large groups of people in particular, collectively aggregate their knowledge, their insights, their creativity to make decisions and produce collective action.
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In a lot of ways, and this is here where it may get a bit woo-woo.
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A lot of what collective intelligence is is not summing up, you know, what a thousand different people think.
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It tends to be a bit of an emergent kind of outcome, an emergent property of how those people all interact with each other and behave together.
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Social systems tools that we have are really built to channel, guide, develop collective intelligence in different ways.
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As simple as a relationship where I go to the store, I buy a bunch of grapes, got some grapes beside me right now.
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You know, it seems like a fairly individualistic kind of act.
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I'm giving money to the cashier, the cashier's giving me a bag full of grapes, I take it back.
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But what that simple interaction has embedded in it is actually a really wide range of social norms around trust and reciprocity and how we use kind of economic tools, and a huge range of invisible economic, social, communicative structures that have gone from oh, these grapes came all the way from Chile, I'm buying them in Canada.
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There was a large series of steps that took them from the fields in Chile up here that involved really individual decisions, individual intelligences, but also sub-kind of collective intelligences as well.
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It's just simply can be thought of as a human impulse to work together.
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And we just do that in different ways at different scales using different tools.
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So, would you say that social media, for example, is that a form of collective intelligence?
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I think it's a channel for collective intelligence.
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So the individual kind of intelligence of people who create and co-create on social media, however, once you now open up those channels for multi-directional communication, multi-directional production of knowledge and consumption of knowledge, sure, it looks like immediately one of the pieces is speeds up those communications, but it also enables new types of communications, new types of networks, sort of emergent ideas to kind of uh evolve that are different than what you would get out of either broadcast media or just kind of face-to-face conversations that people have.
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So I don't think that this the media, the social media itself is collective intelligence, but we have a lot of different channels that change the way that collective intelligences interact with each other.
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So it's almost like it's it's more how does it compare to other other forms of bringing collective intelligences together.
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I would love to know your thoughts on then, like maybe just high level on like when it comes to AI and LLMs.
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And of course, this is you know the thing on everyone's mind right now.
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I'm curious where is that another channel to you, or is that like uh I had another guest previously where he talked about you know LLMs being one of the most collective technologies that we've ever had, you know.
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Yeah, it is and it isn't.
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Um I often, when I talk about collective intelligence, will often almost do a definition in reverse, which is I will often contrast it with artificial intelligence at this point.
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Um, because that's I think on people's minds for thinking about what intelligence is.
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What artificial intelligences are is they are, you know, and LLM in particular, because you know it's a big bucket AI, but LLM is where LLMs are where we're focused right now of all this aggregated data that comes together from all these different points, all these different tasks, all these different visuals and videos that are available on the internet into a prediction engine.
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And the prediction tool, which comes up with better or worse sentences with fewer or more M dashes in it, depending on how you structure them, um, is it it is drawing from the collective and the individual intelligences of people and turning it into a collective.
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Um, it is in itself not really producing new knowledge directly.
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It's these things in a way which does some very interesting things.
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One of the pieces that I find really fascinating about LLMs compared to what I would think of as being a more kind of truly direct collective knowledge where there's co-production between you know human beings and each other with these emergent outcomes, is that AI systems, LLMs tend towards model collapse if all that they are fed is the outputs of other AI systems.
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So that to me is one of those interesting features that that really demonstrates the fact that artificial intelligence as a as a tool set is drawn from the kind of individual intelligences of people because it needs to feed on those individual intelligences in order to survive.
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If it doesn't, it breaks down.
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Um and so when we think about where AI and collective intelligence fit in there, like AI can be seen as a type or a substantiation of it, but it has a whole bunch of features in it which are which I think pull it back from being something that I would say is truly in its own an intelligence.
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And basically the baseline is that is it does need to feed on on individual creativity in humans.
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And where I worry about a lot of the dangers from AI is when those systems get built in a way where there is a black box involved and where it is unclear how humans actually loop into those decisions.
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When these sort of collective intelligence aggregation tools are used in a way which are essentially there to substitute for human judgment decision-making uh values and ethics rather than support human decision-making, values, and ethics, that's when they can get very dangerous.
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I would like to go maybe more to the local level to make it more concrete for people, maybe, because one of the things that I saw that you did is you had done a I think one one of the ways that in which that I would consider to be collective intelligence is just kind of like collective forms of sense making.
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And one of those things that I often kind of point to is participatory budgeting.
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I'm curious how what was that experience like doing something like this, doing some participatory budgeting processes with ordinary people so that they can engage in collective decision making when given this chance?
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Because, like, you know, for a lot of people, I think there is one thing that I like idea that I've come back back again, you know, throughout doing this podcast is that it seems to me that for a lot of people, we kind of lost or don't have the muscle for engaging in collective decision making.
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Like I would say that's like probably that's a huge percentage of like the difficulties of working in something like a cooperative is like knowing how to interact and how to work with people in a collective way because we're just not used to it, you know, it's not taught, you know, in a certain way.
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But in this case, isn't of course not not a workplace, but it's kind of like a kind of like a city hall type of can be perceived as a very boring thing.
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Um, but yeah, I'm curious to hear what your experience was like doing that.
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And absolutely.
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Um so for a bit of background for listeners who might not be familiar with participatory budgeting.
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This is a process that originally was developed in Porto Alegre, Brazil, in 1989.
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So that was the first kind of use of participatory budgeting.
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And this was a few years after the end of the Brazilian military dictatorship.
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And through that dictatorship, a lot of civil society institutions as well as public sector institutions, private sector institutions had been kind of compromised by their involvement with the military.
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So Porto Alegre was dealing with essentially a relatively low trust kind of uh local governance coming out of a dictatorship and into trying to revive, reinvent, redevelop its own democracy.
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So when it came to actually deciding how to develop municipal services, a small portion of the budget was turned over directly to the communities in Potor Allegre to make those decisions.
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So to the people living in the favelas, as well as the people living in the houses and in the skyscrapers.
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So they developed this process over a couple of years and it has since spread around the world.
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The last count I saw is that there have been about 13,000 participatory budgeting processes around the world.
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And interestingly, the laggard geographies are North America and Western Europe.
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It has tended to be the global south that has had much faster adoption.
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Even in Europe, it's Eastern Europe that has had a quicker adoption of it than Western Europe as well.
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So it's it's it's one of those really interesting democratic innovations that has really moved from south to north in a way that we we don't usually see.
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Now, when we were looking at participatory budgeting in the city of Kitchener, we were one of the things that I was really interested in doing was kind of develop voting models for how that end budget allocation worked.
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I have uh uh experience in the past, I was on the board of our our leading electoral reform organization in Canada, Fair Vote Canada.
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Germany uses a proportional representation system, which most modern democracies do.
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I live in Canada, we use first past the post.
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It's not a particularly good voting system, it's one that we share with the United Kingdom and the United States, and is responsible for a whole bunch of um terrible political outcomes that we see in our country and theirs.
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And so when it came to actually looking at how participatory budgeting was working around the world, there's a lot of different ways that those processes are undertaken.
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And I wanted to see, okay, if we built some voting models that actually were built on proportional representation principles, would we see them perform well when we actually did these in practice?
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And so we, in working with the city, we had the chance to look at two parks, just two urban, small parks that were already slated for reconstruction because the equipment had reached the end of its life.
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And in both of those, we worked with city staff to do outreach to the neighborhood and ask people there, hey, what would you like to see in this park?
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And people came up with tons of ideas for each park.
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City staff vetted ones that just to make sure that they could actually build those things and costed them out.
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And then we went back to those neighbors in those neighborhoods and had people do votes.
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And one of the things that's really interesting about the local level of government and something as tangible as a park is it's really easy for people to envision how different structures of a park are going to serve them better or worse.
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And it's really easy for people to have conversations with their neighbors about what their priorities are.
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And so, in the end, what we ended up seeing was a lot more kind of community engagement than the city usually sees when it does public outreach.
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And in in ways that in some of those parks, like in one of those parks, there was a particularly controversial proposal, which was a dog run.
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Some people were like, I don't want to see more dogs in this park where all my kids play.
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That was like these really immediate, tangible things with those immediate tangible consequences, get people really engaged and really involved.
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Now, if we contrast that to how decision making, local decision making usually happens, it's usually that city council or city staff will come up with a proposal, will go to the public.
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Hey, can you give us feedback on this?
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There's some feedback.
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People maybe fill out surveys, maybe show up to a town hall or some other meeting.
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And it's very difficult for them to actually see how their voice has translated into a different decision with an actual vote using a participatory budget.
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That it's there.
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It is transparent, it is clear.
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You can show a paper trail as to how the you know, hundred or so people who voted, those turned into a park that ends up getting built.
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And part of the reason we did this, these two sites, is we actually ran um and it we ran it in a way that's a bit unusual for a participatory budget, where we actually did an experiment at each site.
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Um one of the one of the sites we used a ballot which was a ranked ballot.
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So 25 items.
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You said, okay, this is my favorite, this is my second favorite, third, all the way down as much as you wanted.
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The other one, you scored each item between zero and 10.
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But based on those inputs, you can actually calculate results in a few different ways.
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So then we did a second round of voting where in each of those parks we presented three different packages that were calculated using three different voting algorithms, and a fourth package, which was actually created by city staff.
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And so in that second round of voting, people were voting between four different park designs at each site.
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And in both sites, the staff model did quite poorly compared to the ones that were actually voted on by people themselves.
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And this is not to throw any shade on the staff.
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Like these are smart people who know landscape architecture, know parks, know these neighborhoods.
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But inherently, there's something missing between you making your best guess, best on the base, best information you have as a trained professional, and the people who are going to be using those parks themselves.
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And the people using those parks themselves have different things that they're looking for.
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And it was really interesting to see that that was such a substantial difference between the two.
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So it was really interesting to be able to run that, being able to see that, and to really be able to validate for people in those neighborhoods that they now have parks that fit what they wanted and what they envisioned those spaces to look like.
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The type, the type of thing that I wish was just like kind of a normal part of life, I guess, for a lot of people, you know, just I wish that it was something where, you know, there was just like always an easy way for me to somehow provide input and feedback into my local parks as like one one example, because you know, yeah, I go through, I walk through so many different parks, and sometimes it'd be nice if I could at least express that it'd be nice if there was a little bit of shade here because of the sun.
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You have a really good insight into what that park is going to look like.
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And it's a shame that we have public systems for decision making that are often seem to be about separating decision makers and those who are making our public goods for us from the public, save for once every couple of years when you have an election.
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It's like otherwise, why bother engaging people?
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Whereas if we think about how we can actually make, you know, make those decisions for what our public goods look like in ways that line up better with what people actually need, you know, the opportunities for containing costs to having a bigger impact with those dollars that are spent, I think are really compelling.
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Yeah, and I think for me, why I think these are interesting as well is because, you know, by and large uh as an actor in the economy, you are someone who is generally subjected to the interests of if you at least work in the private sector, you know, you're you're subject to the interests of you know, whoever owns the company to uh like design whatever they need to design in order to like extract profit park because it was public.
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There isn't really, I mean, maybe like what the state could have done maybe is like optimize for the minimum amount to not anger people because that you know they got a park, but it was it's super cheap, and like you know, they didn't they didn't go over budget and then they can use that money for for something else or or whatever.
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Here the idea was to optimize for what it is that people wanted, which is something that is more like that's not like a number you can necessarily it's not like a purely quantitative thing that you can say necessarily better or worse, but it's something that's like very, very multifaceted research that was really interesting, that I think is like a fundamental part of trying to answer the question around you know, how do we make a more democratic economy?
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Was around this question around of like moving beyond capital-focused measures of success, how it's framed.
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But yeah, for people who like haven't thought about this.
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I mean, one maybe to share what's actually wrong with how we measure whether an economy is doing well, like using the current types of measurements that we use now versus like what we could be using.
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Absolutely.
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And I can think of this on almost two tracks.
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One is the kind of organizational and one is the economy wide.
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Um the economy wide one, the main indicator we use is gross domestic product.
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One of the things I think is really interesting about GDP as an indicator of economic health and human well being is the The criticisms of it as an economic indicator go back to when that indicator was created.
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The person who created the indicator, he said right off the bat, please do not use this indicator as a measure of the quality of life of people.
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It is built to find out how much production there is in an economy, what kind of overall economic output.
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This indicator was developed around World War II.
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So it's like, what resources can we muster for doing for engaging in total war?
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Like that was where GDP came from.
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But it's since kind of seeped into other aspects of governance and policy making because uh fundamentally it is a very stable indicator, like it can be applied around the world and uh can be used comparatively fairly easily.
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And numbers are kind of magical in people's thinking because, in a lot of ways, numbers can short circuit judgment.
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It's really hard to decide between those balance, that balance between, you know, do we want this park that is beautiful?
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Do we want this park that serves our needs, is better for health, well-being, fun.
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A lot of those are really hard numbers to track.
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But the amount of money that we spent on the park is pretty easy to track.
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So, okay, that's our number.
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That's where GDP comes from.
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And GDP misses a whole bunch of things when it comes to uh environmental damage, social damage, doesn't care about inequality and what that can do to really destroy societies and social cohesion.
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Um, and in a lot of ways, you know, we can think of this at the aggregate level as being a very myopic way of measuring economic success.
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We go to like the organizational level, you know, the standard organization that we're usually looking at or thinking of is a for-profit corporation.
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And the goals of a for-profit corporation are pretty simple.
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I'm trying to get bring in as much revenue as I can uh with the lowest costs that I can.
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The difference between those two things is profit.
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Fine, makes sense, but there's other ways that organizations could work or could be built.
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So if we think about bread as a worker cooperative, one of the things about a worker co-op is that if you are, you know, if you are doing your work, you're generating revenue, you're paying people, that's all great.
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But if you're thinking about what the ultimate goal of the worker co-op is, is it profit maximization in that way?
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It's probably not, particularly because your biggest cost is probably your workers and people.
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Like if you're bringing in a million dollars in revenue and then you're having a conversation as a worker co-op, it's like, okay, we've got to make sure everyone's wages are as low as possible so that we can make these profits for some reason.
00:24:57.920 --> 00:25:13.359
Whereas bringing that million dollars in revenue and making sure that, yeah, some is set aside for reinvestment, some are set aside to cover your kind of external costs, but then in the end, going like, okay, so you know, what would be profits we want to give back to our workers?
00:25:13.839 --> 00:25:25.200
Um, it can be as higher wages, it can be as dividends, it could also be reducing people's work hours or the intensity of the time that's spent on the job.
00:25:25.359 --> 00:25:29.359
It can be providing people with better training, tools, or equipment to work with.
00:25:29.599 --> 00:25:34.160
It could be more time for benefits or paid time off, all these other things.
00:25:34.400 --> 00:25:46.559
Those are all other goals that an organization can have that are real, they're valuable, they are worth discussing because every worker is going to have a slightly different combination of things that they're looking for.
00:25:46.799 --> 00:25:56.319
Um, but it's also a very different logic than the you know, maximize revenue reduced costs at all to all ends.
00:25:56.640 --> 00:26:11.359
Um and because of that, it means that that worker co-op will have a very different view on things like risk than a for-profit corporation has, you know.
00:26:11.680 --> 00:26:19.680
Yes, I might want to get a dividend of 10% on my investment if I'm if I'm investing in a for-profit corporation.
00:26:19.920 --> 00:26:23.680
And if working extra hard is going to do that, okay, cool.
00:26:23.920 --> 00:26:26.720
Pushing employees and workers to work extra hard.
00:26:26.960 --> 00:26:43.759
Um, if it is in an industry where that working extra hard is going to come at the expense of health and safety, you know, my view of risk as a worker is that yes, I'd like to make more money this week, but it's more important to me that I make it home alive this week.
00:26:43.920 --> 00:26:46.240
And so I'm going to prioritize that.
00:26:46.480 --> 00:26:53.759
And that is not necessarily where the prioritization of an organization that's set up just to serve investors is going to look like.
00:26:54.160 --> 00:27:00.400
In my experience of having built up Bread Cooperative, and I think I'm wearing the old branding, Bread.
00:27:01.119 --> 00:27:11.200
But with starting the cooperative, the thing that I've noticed that's been interesting is that I am one, even though I'm the founder, like a worker member, as with other worker members.
00:27:11.359 --> 00:27:22.960
At least for me, the feeling, and I think if you ask the others, I know they're not here to share, but I think they would say that it does feel like we're in it together type of thing, rather than necessarily, you know, we gotta work really hard so our manager can afford another sports car or whatever.
00:27:23.200 --> 00:27:44.480
There's like a very different relationship in the sense that when we make money, the point is really to try our best to sustain, you know, is to make good working conditions for each other rather than like like things are too transparent, even really to like uh the way that that we do the budgets, like quite quite transparent and where everybody kind of can see it and everyone knows how much money is coming out of it.
00:27:44.640 --> 00:27:56.640
So, you know, whenever we have to have those maybe more difficult conversations around like how much can we actually pay each other, how like what is actually possible, you know, it's it tends to be a lot more yeah, it's definitely hard.
00:27:57.359 --> 00:27:59.839
It's always hard to like talk about like, yeah, we can't really.
00:28:00.079 --> 00:28:13.279
I know you would like to be paid this much, but like if we're all looking at the same numbers, and you know, if if we want to be because I mean there may be some disagreements about like how conservative or risky we are with the treasury or something like that.
00:28:13.359 --> 00:28:17.680
But we have you know, we try to make certain guardrails and certain expectations early on, so people kind of know that.
00:28:17.839 --> 00:28:30.319
But yeah, it's like a very different relationship than when I was working in you know very corporate settings where it's just it completely opaque, you know, you wouldn't even know like how much are they charging for the client really.
00:28:30.480 --> 00:28:34.559
I'm one just like analyst in this project or something like that.
00:28:34.720 --> 00:28:47.519
I know how much I'm making in my paycheck, but then you know, sometimes when you do find out how much they're actually charging for your hours, you're like, damn, I could be making a lot more money, maybe if I was just like freelancing this instead of going to this company.
00:28:47.759 --> 00:29:12.720
And you know, if I imagine, you know, a different reality where for some reason Bread Cooperative was not a cooperative and I was instead like the main shareholder, then like in that situation, I am economically incentivized to make it opaque and to like like by making more profit, like it doesn't it's like less amount of profit needs to be made for me individually to make a lot of money and has like a stake.
00:29:12.960 --> 00:29:17.759
We have to make a whole lot more profit in order for everyone to become like multi-billionaires or something like that.
00:29:18.000 --> 00:29:25.519
But you know, if I'm the shareholder of a company that like does well at a particular moment, then I can really just like make a ton of money in a moment.
00:29:25.599 --> 00:29:27.440
And what do I care about the I've already made money?
00:29:28.240 --> 00:29:33.119
And it absolutely changes the risk, risk for you as a as an owner there as well.
00:29:33.279 --> 00:29:38.480
Because if you're the sole shareholder, the the upside is huge, but so is the downside as well.
00:29:38.720 --> 00:29:43.440
The downside of things go bad is can potentially be catastrophic.
00:29:43.759 --> 00:30:03.359
And that's part of the reason I think that a lot of uh founders of a more traditional model often do push for a lot of the profit maximization, even if they're you know, even if personally on a regular day-to-day, these are like, you know, nice people who want to treat everyone, their customers, their employees, their suppliers really well.
00:30:03.920 --> 00:30:15.440
Um there's just so much at stake uh for them personally that it incentivizes sometimes decisions that might not align with how they would regularly like to be operating.
00:30:15.680 --> 00:30:22.960
Whereas if you have this worker co-op, you yeah, you lose that extreme upside, but you also lose the extreme downside as well.
00:30:23.279 --> 00:30:47.680
And so that sharing of risk allows more, it pushes for that transparency around budgeting and decision making, and also transparency around what risks people are willing to bear, what trade-offs people are willing to make in a way that I think leads to different economic consequences for both the people within and outside that cooperative, too.
00:30:47.920 --> 00:31:02.160
And, you know, I don't think that necessarily we need every organization in the world to be a cooperative, but I do think we would be much healthier as societies if we had a lot more organizational variety.
00:31:02.319 --> 00:31:09.759
Because one of the things about for-profit companies is that when they do bad things, they tend to do bad things in the same way.
00:31:10.000 --> 00:31:19.359
And the fact that the negative consequences can correlate can potentially lead to really catastrophic things for societies, for environments, for economies.
00:31:19.519 --> 00:31:42.480
And just even having more variety, being able to have not just for-profit companies with their particular concerns, risks, and strategies alongside worker co-ops with their own particular risks, concerns, and strategies, consumer co-ops with their own particular risks, returns, and strategies, like all these different varieties would make for a much more resilient and democratic society and economy.
00:31:42.799 --> 00:31:43.119
Yeah.
00:31:43.279 --> 00:31:45.440
Then maybe I'll sure we'll get back there at some point.
00:31:45.680 --> 00:31:48.960
Maybe because I think it relates to bread cooperative itself.
00:31:49.359 --> 00:31:51.839
We said we're gonna we'll do our the bread cooperative roast.
00:31:52.000 --> 00:31:57.200
Maybe for people who to have context, bread cooperative is the cooperative that I co-founded.
00:31:57.279 --> 00:32:03.359
It was meant to kind of answer for what does the left do about crypto or like where do we play, how do we play?
00:32:03.680 --> 00:32:11.759
And the the project is what we came up with, and the main application that we've built is called the Solidarity Fund, where anybody can give stable coins.
00:32:11.920 --> 00:32:14.319
Um, you receive back one-to-one bread.
00:32:14.400 --> 00:32:17.440
So one stable coin, one dollar is one bread.
00:32:17.680 --> 00:32:32.559
And in the background, the stablecoin is earning interest through DeFi, decentralized finance, and only the interest is being distributed to a set of projects within the Solidarity Fund that are kind of member projects, kind of politically values.
00:32:33.039 --> 00:32:39.279
And as a user who holds bread, you're able to vote on how that distribution gets distributed to the various projects.
00:32:39.440 --> 00:32:42.160
Half of it is based on just an even split.
00:32:42.240 --> 00:32:46.799
So every project gets a little bit every month, and then the other half is based on the vote.
00:32:47.519 --> 00:33:04.079
And so, yeah, when we were designing this, it was really meant to try and like answer for a little bit how we're going to fund ourselves and also kind of take inspiration from the already existing solidarity economy, which in this case was local currencies, is what we were taking a lot of inspiration from.
00:33:04.240 --> 00:33:08.000
And perhaps you can say like cooperative banks or or credit unions as well.
00:33:08.240 --> 00:33:25.680
But yeah, I mean, the uh one of the things that like we've had to contend with for sure is like kind of the contradiction of needing to make money within a capitalist system while trying to live values that are not optimized for capitalist logic.
00:33:26.000 --> 00:33:26.720
Absolutely.
00:33:27.200 --> 00:33:27.599
Yeah.
00:33:27.839 --> 00:33:42.559
Anyways, uh that was a primer for you to uh unfortunately we live in the world that we were put into, not the world that we would like it to be, but we do have our time in this world to try and make the world look a bit more like what it could be.
00:33:42.880 --> 00:34:01.359
And I think as a starting point, setting up a decentralized financial cooperative like Bread, I think is interesting for absolutely trying to address some of the logic that is really not just market-oriented logic, but very, very investor-centered market logic as well.
00:34:01.680 --> 00:34:12.000
Um, to take a step back, one of the hats I wear is I I do so on the board of a foundation, a foundation that's actually connected to a large insurance cooperative in Canada.
00:34:12.400 --> 00:34:21.119
And one of the pieces about foundation logic and structures generally is that you know, different parts of the world they look differently.
00:34:21.360 --> 00:34:34.559
In Canada, you know, if you have a foundation which has a hundred million dollars in its endowment, the expectation is every year you're gonna spend at least five percent of that giving out money as grants.
00:34:34.800 --> 00:34:38.880
So that's a hundred million dollars every year.
00:34:39.440 --> 00:34:50.400
Five million dollars is going to go get spent on a grant, which is gonna do good work, it's gonna help the environment, it's gonna provide affordable housing, it's going to get people off the streets.
00:34:50.639 --> 00:34:53.199
Really good, solid, impactful stuff.
00:34:53.920 --> 00:35:05.920
The other 95 million dollars is going to be probably invested in, I'm in Canada, probably invested in extractive industries, in mining or in the tar sands.
00:35:06.079 --> 00:35:10.159
Maybe it's invested in speculative real estate or international finance.
00:35:10.400 --> 00:35:19.039
The remainder of that money is going to be invested in things which are causing the problems that that$5 million in grants are there to fix.
00:35:19.280 --> 00:35:26.880
Um, and that that can be really to say counterproductive is a bit of an understatement there.
00:35:27.039 --> 00:35:31.840
That's an organization whose internal logic isn't congruent with itself.
00:35:32.320 --> 00:35:49.119
So one of those pieces when it comes to okay, so you're making interest off of the bread is what is making that interest, and is what's making that interest something that is actually values aligned in in how you're making money off of these sort of DeFi tools.
00:35:49.360 --> 00:35:54.880
Because ultimately you can have really good spending on the end with what you've accumulated and earning.
00:35:55.119 --> 00:36:11.760
But if where that's coming from is against the logic or values that you're trying to push forward, there can be there can be a real danger there that you're doing more to reinforce the system as it is than you are to actually counteract the system as it is.
00:36:12.079 --> 00:36:18.880
That said, it's really hard to find alternatives to that type of mainstream investing.
00:36:19.199 --> 00:36:24.400
It's really hard to actually invest in cooperatives and set up cooperatives.
00:36:24.559 --> 00:36:30.880
I'm in Canada, we have a pretty robust series of rules and regulations around cooperatives, setting them up.
00:36:31.039 --> 00:36:33.280
We have legal structures in place.
00:36:33.440 --> 00:36:37.440
But what I can say is in Canada, you know, it's something as simple as setting up a co-op.
00:36:37.519 --> 00:36:48.559
So I set up a co-op, an investment co-op last year, and I also set up a business last year, a traditional for-profit corporation, and I've set up nonprofits in the past.
00:36:48.880 --> 00:36:55.679
I can say from my experience that, you know, I can set up a business in Canada in a day.
00:36:55.920 --> 00:36:58.719
I can set up a nonprofit in maybe a week or two.
00:36:58.960 --> 00:37:05.840
It took us almost three months to get the equivalent kind of incorporation document set up for a co-op.
00:37:06.159 --> 00:37:08.800
And that was far longer than I was anticipating.
00:37:09.039 --> 00:37:15.039
But it's one of those places where on paper, all of these things should be doable in the same amount of time.
00:37:15.199 --> 00:37:25.119
But in practice, the actual infrastructure, the resources, the regulatory environment, it's set up for one thing, which is a for-profit business owned by investors.
00:37:25.360 --> 00:37:26.880
It's not set up for these other things.
00:37:26.960 --> 00:37:38.239
And whenever you try to do something outside of those norms, there's all of these invisible barriers and invisible strings that you only notice when you're trying to do something outside the box.
00:37:38.480 --> 00:37:52.639
Like in our context where we have a lot of people in different places of the world, like there is no international cooperative body that I can just create that is like easily interoperable between all the different countries that everybody lives in.
00:37:52.800 --> 00:37:54.480
So it gets really complex real fast.
00:37:54.559 --> 00:38:00.960
And if we try to do it, I mean we could just be spending out of our asses on legal fees and like trying to set it up in all these different countries.
00:38:01.039 --> 00:38:06.239
It's like totally just it structurally not possible to do.
00:38:06.480 --> 00:38:11.280
Because sometimes people ask me, like, oh, is it a real cooperative or is it a like, no, it's not because we can't.
00:38:11.360 --> 00:38:16.000
Like it like operationally it is, and that I think that's what ultimately actually what counts.
00:38:16.239 --> 00:38:21.760
But it's amazing how much you know you have to do those kind of workarounds because the legal structures aren't set up for that.
00:38:21.920 --> 00:38:45.440
Certainly, you know, it's difficult to set them up for that nationally, and it's impossible internationally to do it, even though there's international associations, like there is the International Cooperative Alliance, but there is no equivalent international rule of law for cooperatives the same way there are for corporations and shareholder rights and IP rights for those corporate bodies.
00:38:45.679 --> 00:38:48.559
Um, and you know, it's not just cooperatives.
00:38:48.639 --> 00:38:52.480
Like this is an issue that befuddles labor unions as well.
00:38:52.719 --> 00:39:20.559
It's a one of the consequences of the internationalization of trade, globalization, is that it's very easy for a multinational company to operate in many country in many countries on many continents and play their own domestic labor forces off each other because they're, you know, you can have an international corporation, but not an international labor union that can negotiate with that international corporation.
00:39:20.719 --> 00:39:23.920
And again, similarly an issue with the co-op sector as well.
00:39:24.079 --> 00:39:31.199
There's alliances, there's federations between cooperatives, but it's very difficult to actually have an international cooperative.
00:39:31.280 --> 00:39:33.039
And so often it's these workarounds.
00:39:33.199 --> 00:39:37.599
So, for example, I'm right now calling you from Montreal in Quebec.
00:39:37.920 --> 00:39:44.800
And because it's so big, Desjardins has operations outside of Quebec.
00:39:44.960 --> 00:39:54.000
They have operations in Ontario, they have operations in the United States, but as a cooperative federation, they basically are a cooperative within Quebec.
00:39:54.239 --> 00:40:06.559
Um, a lot of people in Quebec, because Canada is cold, if they are retired, will spend their winters in a much warmer climate like Florida.
00:40:06.800 --> 00:40:16.559
So many years ago, Desjardins bought a banking chain in a chain of banks in Florida so that they could better service their clients while they were in Florida.
00:40:16.719 --> 00:40:19.679
But that's basically a wholly owned corporation.
00:40:20.639 --> 00:40:40.400
So it's a corporation in the United States that is owned by a cooperative in Canada because that was basically the way they could figure out how to make it work under these sort of international conditions, and rather than being a cooperative that operates in two countries, because it's like no, legally, that's just not a thing that the structures are set up to do.
00:40:40.639 --> 00:40:42.159
This is one of the points that I made.
00:40:42.320 --> 00:40:52.239
I so I'm a ICDE fellow, it's a fellowship for people who are, you know, working researchers and in my case, practitioner more in the cooperative space.
00:40:52.480 --> 00:41:00.079
And um, I just released uh a blog article through them around like why the cooperative should care about crypto still.
00:41:00.239 --> 00:41:09.039
And one of the reasons that I gave is exactly this that like there is no existing international like interoperability with cooperatives.
00:41:09.199 --> 00:41:14.239
Like one of the principles of being a cooperative is you know, supporting each other.
00:41:14.400 --> 00:41:20.639
And you know, I don't think borders should really stop being able to support each other and and like take part in being part of the cooperative movement.
00:41:20.800 --> 00:41:23.679
But like legally, that's like a really difficult thing to do right now.
00:41:23.840 --> 00:41:40.960
And you know, for all of its for all of its flaws, um, blockchains being an international, internationally, you know, retrievable database and backend that anyone can use, like is great to do these types of international collaborations and interoperability.
00:41:41.199 --> 00:41:48.960
But yeah, maybe I I wanted to like respond just like very quickly to the um to the comments you made about you know where we generate.
00:41:51.119 --> 00:41:58.960
So like in our just like because like in our case, it's it's generated from the sky ecosystem or maker DAO, whatever it used to be called.
00:41:59.199 --> 00:42:07.039
And I mean, they they it's basically a revenue share, is but where their the the money that's being paid out is where it's coming from.
00:42:07.119 --> 00:42:23.360
And that revenue comes from a few different sources, one of them being the liquidation of you know people who take out loans through their protocol in order to create stable coins, create the the the sky dollar stable stable coin.
00:42:23.599 --> 00:42:40.159
There it's a lot of it like financial institutions and maybe just like very wealthy individuals and also like small time people or whatever, but like you know, they they pay a fee to hold their position and they get liquidated if you know the the rate their collateral ratio changes too much.
00:42:40.480 --> 00:42:46.239
So in one sense, I've I'm like to me that seems I I mean I don't know if that's ethical or not.
00:42:46.400 --> 00:42:50.320
Like in in my my personal my personal ethics, I feel fine about it.
00:42:50.400 --> 00:43:04.400
I feel fine about you know someone else took the other side of a trade and they and they lost, and we took the safe bet so that we only we earn like a smaller interest rate, they have the possibility of earning much more, but they also have the possibility of losing a lot more.
00:43:04.559 --> 00:43:06.320
And it's just like kind of like the system to play.
00:43:06.400 --> 00:43:14.159
And maybe other other places they they fund this revenue is maybe from like US treasury, treasuries, and like yeah, I mean there's a bunch of technical stuff.
00:43:14.239 --> 00:43:20.239
But as far as I'm there, there might be more to it that maybe I'm not fully aware of that maybe they're doing something that's kind of shady.
00:43:21.199 --> 00:43:27.760
As far as I know it sounds like a web three version of like derivatives sort of writing and trading, which is, I mean, yeah, yeah, fundamentally.
00:43:27.920 --> 00:43:36.239
Like if you're gonna have if you're gonna have a capitalist, if there's gonna be a capitalist financial market, like that's that's part of it, and you know, I think it's fine.
00:43:36.480 --> 00:43:59.760
Like funnily enough, like I actually um my view of a lot of pieces like that, which are really those kind of like speculative derivative pieces, is that you're not actually investing in or owning anything fundamentally underlying it in a way where I feel and I don't think I don't know if anyone else has to have this perspective, I actually.
00:44:00.079 --> 00:44:07.519
Feel a lot more comfortable owning a derivative on a diamond mine than owning a share in the diamond mine.
00:44:07.679 --> 00:44:11.440
Because my share in the diamond mine actually might be expanding that diamond mine.
00:44:11.519 --> 00:44:16.880
The derivative is just a bet on the value of what that mine is going to look like.
00:44:17.119 --> 00:44:32.960
Um, so even though derivatives have their own kind of consequences for financial markets, uh, they are because they're not themselves the material investment, they're not necessarily expanding what is their investment and investment returns.
00:44:33.119 --> 00:44:39.840
Is I don't think there's anything inherently unethical about investing and making returns on those investments.
00:44:40.079 --> 00:44:46.960
I think it's completely reasonable to expect to be compensated for providing resources to some sort of collective project.
00:44:47.039 --> 00:44:49.119
And that's that's what a corporation is.
00:44:49.280 --> 00:44:57.119
I think fundamentally what finance is about is about how people coordinate actions together over time.
00:44:57.920 --> 00:45:03.440
And if the actions that are being coordinated are destructive actions, that's the problem.
00:45:03.840 --> 00:45:16.159
However, coordinating activity over time can be for a whole range of really productive tools, really productive things that that enable human flourishing and enable a better environment.
00:45:16.400 --> 00:45:40.960
And a lot of the challenges with what kind of our current mode of capitalism looks like is that these tools, which are designed and built and are useful for doing coordination over time, over a long period of time, are in an industry which has become the shortest-term thinking industry on the planet, which is speculative finance.
00:45:41.280 --> 00:45:55.280
And that not only does it undermine, you know, cause direct environmental and social and economic damage, it also can at its core undermine its own capacity to be good at capitalism.
00:45:55.440 --> 00:46:05.920
That speculative finance is really bad at actually getting money and resources towards real projects and real investments.
00:46:06.159 --> 00:46:36.639
And so, to me, thinking about where, you know, finance more broadly as a vehicle or as a tool for progressive change fits in, I think a lot of it has to be thinking about how we can do finance in different ways, how we can do finance in slower ways, how we can do finance in ways which actually connect to the communities and the societies and the environments that we're a part of, which is where like ultimately like more democratic control of the economy, I think leads to a better economy.
00:46:36.880 --> 00:46:43.599
There's something, you know, this this more happens in online than it does in person, in my experience.
00:46:43.760 --> 00:47:04.000
But you know, other people on the left kind of kind of deriding the idea of engaging in any type of financial activity in the first place is kind of there's kind of like a it's a it's a really big taboo on the left, even though in some respect, like a lot of people do engage in it, you know, no matter their politics, and probably there's definitely more of a skewing towards the right.
00:47:04.079 --> 00:47:26.719
But like, yeah, there's hard question to answer, I think, for a lot of people on the left because of its taboo and like not looking at it, like thinking of it as this like dark arts over there that you know dark wizards engage in that I in this black magic that I don't know that I know is destructive, and in many ways, like it is, of course.
00:47:26.800 --> 00:47:51.679
There's plenty of evidence in in which it is problematic, but also that like I don't think that in the five minutes after socialism is achieved or whatever, you know, all these things are just going like we have to finance, like, or finance may look different, but we have to finance things, and that we have to like borrow or use resources to like create big projects and infrastructure and absolutely.
00:47:51.920 --> 00:47:54.239
We are still working within constraints.
00:47:54.400 --> 00:48:08.239
There's still material constraints, there's still human constraints, and how to how to achieve those things over time is is a core challenge, no matter what the economic structure is.
00:48:08.639 --> 00:48:20.320
You know, the if if you think back to a a previous iteration of socialism that had a lot of damaging aspects to it, like one of the important features of a five-year plan is the fact that there's a plan there.
00:48:20.639 --> 00:48:26.239
It looks like it's you know top-down kind of command economy stuff, and it and it absolutely was.
00:48:26.800 --> 00:48:33.519
But embedded in there were estimates about how valuable different material was going to be over time.
00:48:33.760 --> 00:48:48.880
I mean, those are, if to use kind of, you know, finance technical speak, those are things like discount rates, those are ways of thinking about interest, those are, you know, that's that's public finance, which is a type of finance, which is about that coordination over time.
00:48:49.039 --> 00:48:51.039
But it's also not the only way that that can be run.
00:48:51.280 --> 00:49:06.719
I mean, one of the things that has fascinated me uh for ages is the, and I'm sure a lot of your listeners will be familiar with or have heard about, you know, Project Cyberson, which was the uh the experiment of the, yeah, exactly.
00:49:07.360 --> 00:49:20.880
Chile, uh, with a lot of coordination and support from Stafford Beer, who is a really compelling systems theorist, one of my kind of uh intellectual kind of North Stars is the word uh work out Stafford Beer.
00:49:21.039 --> 00:49:30.000
Uh, and a lot of that was about how to do decentralized planning and decentralized decision making about kind of longer-term pieces there.
00:49:30.400 --> 00:49:44.800
Um a lot of how um how I think about scale and temporality, so so how things work over time, um comes out from thinking about how we actually make plans.
00:49:44.960 --> 00:49:53.440
We make plans day to day, we make plans week to week, we make plans year to year, over over decades, even for some decisions.
00:49:53.840 --> 00:49:57.199
And when we make those plans, we think about them in different ways.
00:49:57.440 --> 00:50:05.519
Like I think about my retirement planning in a different way than I think about my grocery, my grocery purchases this week.
00:50:05.679 --> 00:50:06.960
And it's right for us to do that.
00:50:07.039 --> 00:50:10.000
Like we discount, we think, we prioritize in different ways.
00:50:10.239 --> 00:50:26.000
But being able to actually do that across multiple scales and think about how we balance how we balance those trade-offs between those different scales of time horizons, um finance has really good tools for that.
00:50:26.239 --> 00:50:29.840
They don't have to be tools that are entirely about profit making.
00:50:30.159 --> 00:50:37.599
They can be tools which are about how do we make our green space better and more productive and more verdant.
00:50:37.679 --> 00:50:49.920
They can be tools about how do we ensure that everyone has affordable housing that they can live in, that's safe, that's clean, that that brings their lives, you know, makes their lives better.
00:50:50.159 --> 00:51:02.400
Um, and if we give up those powerful sets of tools to the most reactionary forces in our societies, then we're unilaterally disarming ourselves in the contest of ideas.
00:51:02.480 --> 00:51:05.840
And I don't think that that is a productive way of going.
00:51:06.159 --> 00:51:16.559
Yeah, I kind of think of politics as talking about the economy and like jockeying for how we talk about it and like where we think things will go.
00:51:16.800 --> 00:51:29.119
The economy is things actually like movement of resources and things being created, and then in between, maybe is finance interpreting kind of like planning, planning the economies.
00:51:29.360 --> 00:51:40.719
Like finance to me is in the capitalist economy, is like those are the planners of the economy, is like giant fine, it's like big financial firms who and companies who who plan it out.
00:51:41.039 --> 00:51:46.159
Our largest banks play the same role in our societies as the Politburo did in the Soviet Union.
00:51:46.320 --> 00:51:49.760
It is planning at a large scale with a long time horizon.
00:51:50.000 --> 00:51:58.719
Um I'll also add this picking up on your piece there about politics as being conversations about the economy, because I think there is something to that.
00:51:59.039 --> 00:52:09.920
I also think we see the consequences of that when the political consensus is in fact that the economy problem has been solved.
00:52:10.159 --> 00:52:17.360
Um, you know, we can think about the the neoliberal consensus as which which has been most of my life as being that.
00:52:17.679 --> 00:52:35.039
And one of the consequences of a political consensus around economy is it means that what politics then becomes about is tribalism and identity, because the main thing that impacts people's lives day to day is their economic positioning.
00:52:35.199 --> 00:52:38.559
And if that's off the table for political discussion, well, what's left?
00:52:38.719 --> 00:52:41.599
And what's left is often the most destructive things, right?
00:52:43.679 --> 00:52:59.519
Sure, or whatever distractions about identity politics stuff or whatever, you know, like uh things that that take away from like solving the root problem of people's if if we can't talk about solving our own problems, like what's left for us to do?
00:52:59.679 --> 00:53:03.840
It's to yeah, it's to get into to often some very self-defeating pieces.
00:53:07.760 --> 00:53:15.760
It's it's to argue with each other on canceling people because you have no other power in any other like political outlets.
00:53:16.239 --> 00:53:25.440
So maybe kind of like to end it off, I wanted to like maybe more concretely, I'm curious to hear from your perspective because you're not, I mean, you're not in the crypto space in the same way that I am, of course.
00:53:25.519 --> 00:53:32.800
So I'm curious for you, from where you sit in studying these things like around collective intelligence.
00:53:32.960 --> 00:53:41.119
Um where do you see the most genuine potential for decentralized technologies to support collective action?
00:53:41.280 --> 00:53:44.559
And, you know, maybe where where is it just like complete hype?
00:53:44.880 --> 00:54:04.559
So at its core, a lot of what the Web3 space has that is really useful for collective intelligence at scale is is a lot of actually what we already talked about with Brett is the fact that there's you know international as a baseline, that this is a space that can be global right from the start.
00:54:04.880 --> 00:54:14.880
Um there are a lot of activities in the world which are have really high material kind of transaction costs tied to them.
00:54:15.119 --> 00:54:32.079
And transaction costs not just meaning like the cost of transporting a good from here to there, but meaning like the costs involved in establishing who has ownership over something, what price it's going to be bought or sold at, how many people are involved in its production, creation, consumption, all of those pieces.
00:54:32.320 --> 00:54:40.320
And but there's a lot of things with really low transaction costs, and a lot of financial instruments and tools and investments are are of that type.
00:54:40.559 --> 00:54:47.840
And I think there is a lot in in the web 3 space that actually has a lot of potential around decentralized finance in particular.
00:54:48.000 --> 00:54:52.639
I think there's a lot that can be is really, really interesting and where there's a lot of potential there.
00:54:52.960 --> 00:55:06.559
Um the big limitation, though, that I've really seen since the get-go, since like the original Satoshi paper, is that Web3 is a world that fundamentally exists in silico.
00:55:06.880 --> 00:55:10.639
It exists online, it exists in a virtual space.
00:55:10.960 --> 00:55:18.480
And wherever there are the connection points between the virtual space and the material world, things are always messy.
00:55:18.719 --> 00:55:30.159
Um, so even thinking about something like decentralized finance for investment in different cooperatives, huge potential there, I think, internationally.
00:55:30.239 --> 00:55:37.519
Like one of the areas where I think there's a huge potential for growth in the cooperative sector is business ownership transitions.
00:55:37.679 --> 00:55:41.440
A lot of baby boomers own small businesses, they're hitting retirement age.
00:55:41.599 --> 00:55:47.920
Maybe instead of selling to another company or private equity firm, you can convert your company into a cooperative.
00:55:48.079 --> 00:55:51.840
Great, needs a lot of capital rallied to do that.
00:55:52.079 --> 00:55:56.960
But then where the capital rallies, you know, maybe it's in a jurisdiction which doesn't have co-op rules.
00:55:57.119 --> 00:56:02.320
Maybe it's in a jurisdiction which has really lacks ones that are really easy to be able to do that with.
00:56:02.480 --> 00:56:13.280
Depending on your jurisdiction, once you take it off the blockchain, are these resources now considered securities that are under those particular legal jurisdictions in that place?
00:56:13.519 --> 00:56:31.840
Does you know, like once you start taking things off the chain into the real world like that for the financing, it adds a whole bunch of complications that aren't necessarily tied to Web3 itself, but are tied with how the virtual and the material interact with each other.
00:56:32.079 --> 00:56:34.400
Um, there's also a piece on the flip side.
00:56:34.480 --> 00:56:38.320
So I I uh I work in the social entrepreneurship space.
00:56:38.559 --> 00:56:42.079
My faculty at my university is an environment faculty.
00:56:42.480 --> 00:57:01.440
Lots of conversations over the years about using blockchain technology to do measurement of impact, measurement of social impact, measurement of environmental impact, a lot of those things, um, which all looks conceptually great, except the data has to come from somewhere real.
00:57:01.760 --> 00:57:13.199
And you know, the blockchain itself, the smart contract contract itself, can't do that without other other things in the real world that bring thing on bring bring these things on chain.
00:57:13.440 --> 00:57:21.280
And so to me, the real limitations right now around web three, you know, are are a couple.
00:57:21.440 --> 00:57:27.360
One is the how you get how you get the real world on-chain and how you get the virtual world off-chain.
00:57:27.760 --> 00:57:31.760
And then the second big one is actually how you do aggregate decision making at scale.
00:57:31.920 --> 00:57:38.079
Kind of bringing us back to, you know, this is this is actually what drove my interest in participatory budgeting to begin with.
00:57:38.400 --> 00:57:45.199
Was, you know, if you think about a worker co-op with five people, you can probably talk through most of your problems.
00:57:45.360 --> 00:57:52.800
If you think about a worker co-op with 5,000 people, you need tools beyond just getting 5,000 people in a room to hash it out.
00:57:52.960 --> 00:57:55.679
You need structured decision making at scale.
00:57:56.000 --> 00:58:03.519
And there are ways of doing structured decision making at scale right now, which people default to.
00:58:03.760 --> 00:58:14.639
One big one that has been kind of a driver of society for hundreds of years is markets at the an international scale, you know, kind of bring us back to finance and currency transactions and all that.
00:58:14.880 --> 00:58:16.480
Another one is voting.
00:58:17.119 --> 00:58:21.599
And I think there's more murkiness in between voting and markets.
00:58:22.320 --> 00:58:33.199
But I think exploring that space of how we do that horizontal collaboration at scale, I think remains a critical challenge in the web 3 space.
00:58:33.440 --> 00:58:47.519
But once that is sort of unlocked, I think it's sort of like that, plus the again, getting off-chain and getting on-chain kind of transitions really are the pieces that would enable this space to be much more transformative.
00:58:47.679 --> 00:58:51.920
Now, what direction that transformation goes in, I'm much more agnostic about.
00:58:52.079 --> 00:59:05.199
I think there's a lot of potential in more progressive ways of doing that sort of transition to more kind of web three decentralized technology kind of approaches, but there's also a lot of really you know nasty directions that can go in too.
00:59:05.440 --> 00:59:14.880
They did make it very hard to actually connect the on-chain and off-chain worlds kind of on purpose, or at least that that's what happened in you know, regulatorily.
00:59:15.039 --> 00:59:20.559
Like the law said, like, no, you cannot do that unless you know to go through all these like big hurdles.
00:59:20.719 --> 00:59:31.760
And the only so that meant that the the easiest thing to create in crypto were meme coins, because there was this explicit, no, there's nothing backing it at all.
00:59:32.800 --> 00:59:43.440
So, like that mark for whatever reason, regulators were like, oh, you're just purely speculative nothing, fine, go for it, which is then what gave it its like really bad reputation.
00:59:43.599 --> 00:59:49.440
You know, you can be a conspiracy theorist about it, whether or not that was like intentional by you know the existing financial system or not.
00:59:49.599 --> 00:59:51.760
I don't know, but that is what happened, I think.
00:59:51.920 --> 01:00:12.400
But I think the thing that one of the things that is making me a little bit excited about what are the potentials in the uh outside near future, because the technology is basically there, just I think it's a matter of like propagating it and and knowing the design patterns and stuff, but is ZKTLS, which is like a particular cryptographic technique.
01:00:12.639 --> 01:00:27.199
I spoke about it in a previous episode with Ben from peer.xyz, where they use it there where you're able to kind of verify you can provably verify data online through the TLS, which is like the the cryptographic primitive for like sending the.
01:00:27.360 --> 01:00:28.320
Yeah, I remember that episode.
01:00:28.400 --> 01:00:30.960
There was a really interesting interesting pieces.
01:00:31.199 --> 01:00:42.159
Yeah, so I think like the the the actual extent of which ZK TLS could could play is a lot wider than than maybe than has been like rolled out for sure.
01:00:42.400 --> 01:00:55.599
Then it becomes really interesting because you can provably say, for example, uh like you know, this invoice or like package order coming from SAP is a real package order.
01:00:55.760 --> 01:01:01.280
SAP is a giant, you know, CRM system for tons of different companies.
01:01:01.360 --> 01:01:20.559
You can apply this to uh if you know the patterns of all these different CRMs, then you can produce ZK TLS proofs that uh preserve privacy while also kind of like give this verifiable confirmation that at the very least SAP said this or the company said this.
01:01:20.719 --> 01:01:23.119
So there's still like, you know, SAP could lie.
01:01:23.440 --> 01:01:25.119
There is still room for someone could still maybe play.
01:01:25.760 --> 01:01:27.119
There's still room for ambiguity.
01:01:27.280 --> 01:01:39.679
Uh I think the inherent limitation of any smart contract is that there is no such thing as a perfectly specified contract that can apply universally no matter all contingencies.
01:01:39.920 --> 01:01:43.519
That said, you can still do a lot with those sorts of things.
01:01:43.679 --> 01:01:52.079
And the better that systems get at being able to do verification of off-chain realities in the on-chain, I agree.
01:01:52.239 --> 01:01:55.599
That dramatically explodes the use cases for what these could look like.
01:01:56.000 --> 01:02:02.719
Question is whether or not, you know, how much of that will be legal or like how much regulatory hurdle you have to go through to make that reality.
01:02:02.880 --> 01:02:05.119
And will it make you know actually good things or not?
01:02:05.280 --> 01:02:08.559
It's at least a thing that would expand, you know, the scope of what is possible.
01:02:08.800 --> 01:02:11.119
But yeah, thanks so much for for coming on the podcast.
01:02:11.199 --> 01:02:12.880
Thanks for reaching out and and sharing your work.
01:02:13.039 --> 01:02:18.239
Would you like to leave any plugs, anything you'd like to share, any last bits for the audience before we go?
01:02:18.639 --> 01:02:22.559
Anyone in the audience to look at our work at GroupThink Labs.
01:02:22.719 --> 01:02:31.599
So our main product right now, polls.groupthinklabs.com, is our primary participatory decision making, participatory budgeting tool.
01:02:31.760 --> 01:02:34.960
And we'd love to just have more people use it, get out there, try it out.
01:02:35.199 --> 01:02:40.719
Certainly follow my work at the University of Waterloo and the School of Environment Enterprise and Development.
01:02:40.880 --> 01:02:42.480
I try to keep pieces posted there.
01:02:42.559 --> 01:02:44.639
You can follow me on LinkedIn, reach out to me there.
01:02:44.880 --> 01:02:46.960
Love to connect with more people in this audience.
01:02:47.199 --> 01:02:49.519
Yeah, and it's a pleasure being on the show.
01:02:49.599 --> 01:02:57.840
I look forward to the continued success of Blockchain Socialist and seeing and hearing more interesting ideas that come out of this community.
01:02:58.159 --> 01:03:01.440
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01:03:01.519 --> 01:03:06.800
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01:03:06.960 --> 01:03:12.880
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