Deep Gov: Configurable AI Politicians for Capital Allocation and Governance

Transcript

This is something that every L2 should adopt and just like do their broad listing. Start with their broad listing. Deep cup is a friendly fork of deep funding. So we do broad listening. You will enjoy doing it. I think you know this is it's so fun to really you know just like vote and sort of know more about the whole thing. Are we like regenerators? Are we communists or are we supporters of open source capitalism? Definitely support us. You know, it's just the beginning and we need I think the biggest win for us would be getting a lot of [Music] data. Welcome to ecosystem project demo,

the podcast where we spotlight public good projects shaping the Ethereum ecosystem. [Music] This is episode 20 brought to you by ECH Institute and I'm your host Puharand. Today we are diving into a bold and imaginative experiment at the intersection of AI governance and community values. Deep go a project proposing configurable AI politicians that assist in funding decisions while keeping human at the staring wheel.

Joining us today are the creators of Deep Gov, David Dao and Seel. Welcome and thank you both for being here. Thank you for having us. Thank you for having us. This is the second time Sel is here in a month. Thank you so much Sil for taking our time. I know this may be an extension of uh deep funding that we have done in the past. So I'm so looking forward to learn more about this deep cuff project. But before we deep dive into the project, it would be interesting for our audience to learn more about you all like how you find Ethereum, what are you most excited about in 2025 and something like that.

So maybe we can kick off with a brief introduction. Okay, I can start. Once again, thanks Puja for having me once again. Hi everyone, I am Sel. I'm um currently working with Alo Capital which is a spin out of kitcoin and um I think when I started in this space my core interest was always like wanting to do something in public goods funding space right so I started with sort of being being a reviewer right running grants program and then sort of designing the rounds right and then I understood the importance of having different approaches on how you allocate capital that's where I got interested in like exploring the design space of capital allocation mechanisms and that's how I landed in Gitcoin and now Alo Capital

where you know I'm exploring this design space and the more you know every day I sort of understand like what are the different problems that our space faces and you know what can I do as my contribution to the space and all these projects that we talk about and the one that we're going to talk about today is sort of like you know part of that as a contribution to solving some of the challenges that our space sees today. So yeah, that's me and thanks for having me. Hi everyone, I'm David Dao. So that's actually my real last name. This is such a funny question that I never thought I would ever live through my life that my last name is questionable, but I guess yeah, my mom has been Inirium fan before Ephim was cool. So

I'm AI researcher. So, I've been working on AI for nature conservation and monitoring and that resulted in a decentralized science nonprofit called gainforest. So, that's a small thing that I'm leading together with a wonderful team and we have funding and helping monitor the impact of conservation projects around the world, 35 of them right now. And when we wanted to transfer funds to them, we realized that it's really difficult to transfer funds from developed countries to developing countries. And that's where we discovered Ethereum and the blockchain and fell in love with it. And this is a core essential part of not only now transferring funds, so funding

allocation, but also how we register impact and how the communities are reporting back to us what they are doing. And that's how I also got a little bit into the messy world of capital allocation in web 3 and impact evaluation. Much of the funding that gainforce raises comes from the public goods funding field of web 3. And so we fell in love, but we also saw the pitfalls of potentially right now capital allocation, web three and much of the grants money not going into the right places where it should go and us being one of the receivers and of course one of the people who care about developing countries, communities, we care very much that the funding goes to the right places. So that inspired me to

go back to my origins as an AI researcher and think how can maybe emerging technologies support not just the communities in the Amazon and rainforest but also the digital communities like the fume ecosystem itself and that's how we came up with deep very interesting background and a noble cause I'm so looking forward to learn more about this project I understand we have got a presentation here today so without further ado let's get in so welcome to deep governance participatory mechanism design with configurable AI politicians that's a lot and uh we will unfold like what this really means so you know this is very interesting this starts with story of

Takahiro Ano and I just want to say like David please feel free to add wherever you feel like you know we should expand on but Takahiro Ano is a citizen in Tokyo and you know for the first time he ran for the governor to be the governor of the city right and as you know in anywhere when you want to be a politician and coming from a background where you do not have any legacy or you do not have any like proper background where you have been in political system it's very hard right but he did not win but he had he's I think he was one of the candidates who had most number of votes being an ordinary citizen being never being you know run for elections like he managed to do that so the

question is how did that happen Right? And that's and the reason that it happened was because he leveraged technology. Right? And he did something called broad listening which we're going to dive deeper into next. So before we sort of double click on broad listening, I just like want to give an overview which we all know different forms of sort of like listening. One is broadcasting which is very clear from the image also like it's one to many right and then information explosion which probably you see on Twitter like you cannot really make sense of what people want right how do you identify what is that people value or what is that they care about or the concerns

whatever it is right in the current form of sort of conversations and then comes broad listening I think this is the thing where you know the idea is how you can leverage technology Y right especially LLMs where you can sort of use that to understand and make sense of what people want and what it is that they care about right because given it's so complex and there's going to be a lot of diversity right so how do you make sense of it and how do you sort of you know then design your policies or then design your sort of decisions and what is that you want to implement based on those things that people care about right so that is broad listening I just want to add that broad listening is concept that was pioneered by Audrey Deng who is Taiwan's first digital

minister. Audrey is I love Audrey. We all love Audrey. Audrey is uh she's the best. But yeah, so she pioneered broad listening and um that's what you know this person used when he ran for the governor and we'll talk about how did he use that. So there are three steps in which he sort of did broad listening. So broad listing the first thing that he did was like I think he downloaded all the YouTube videos of you know Japan and he sort of like uh went through all the data where he could see like what are people talking about what is that they want right so he did all of that and then the second thing that he did was he created a political manifesto on GitHub which actually people can also edit

right which sort of like talks about the things that he wanted to change or the things that you know he sort of gathered through all the data that he had scraped through the videos and you know the forums and then the third thing that he did was he created a political campaign with he created a AI avatar right which was like the governor which sort of talked to people and explained like why which policy and why right and people could sort of like vote on that right and that's how he managed to sort of gather I think one of the highest number of votes in Tokyo elections right and so that is you know the reason we sort of went through this story and we I think David always talks about this story is because this is really sort of the

origin of our idea for deep curve right like what if imagine if you run broad listening and if you create these manifestos and if you create not just one AI but like multiple AIs where people can vote on you know which represent community's values and then use those to sort of make decisions right the first experiment which now David will dive deeper into is what we are doing with GG23 right like what else better than other than public goods funding to test this out right where we can actually know what is that people want to see getting funded right what do they care about and how we can sort of use that to train models and get people to select

those models and um decide the allocation right so it is based on that principle and yeah I just going to hand it over to David to take us through what the experiment is and what are we doing and a little bit more about the concept. Definitely. Thank you so much, Se. So, just to tell you about Takiro Ano, he first of all, Japanese politicians don't have long hair. This is a nogo in Japan. And he ran for the first time as a newbie and got in the history the most votes for a newcomer governor. And his way of doing politics was voted the best way to doing politics in all of the competitors. And now even established

politicians in Japan want to copy the way he's doing politics. So he really disrupted Japanese politics with broad listening. And we want to do the similar thing for capital allocation. In many ways deep guff is we call it always a friendly fork of deep funding because sal dvanch have started together with vitalic deep funding that is the AI as the engine humans as a steering wheel and you can read all about this in vitalik's very inspiring blog post where he argues that it's really important that not just one AI rules it all because that would be dangerous but in the spirit of decentralization we need to have many AIs that are going to help us decide potentially distill human

judgment, right? And in deep funding, the way humans steer is through pair wise voting of GitHub repositories directly and then the AIS have a kegle competition to predict what is the best most similar judgment, right? But we feel maybe we can look at it a little bit more from the broad listening perspective and see if we can steer it differently. And the way we did it is okay deepuff is a friendly fork of deep funding. So we do broad listing and one of the ways to do it is for example to create a polic poll and that's something we did for the GitHub community. We asked the community simply what are the values feel strongly about when you

donate to projects right simple question. We seated it with 10 statements. Now we have 21 statements coming from the community. And you can not believe how this simple question creates opinion groups. And in fact, we collected more than 60 answers over the last two weeks. And those 60 answers ended up in three opinion groups. And really interesting, those three opinion groups is then what we used to seat potential we called constitutions or AI calls it model specs of large language models. So in comparison to deep funding where any model can go deep is a small subset of models. Specifically we use

large language models plus like a constitution that tells the language model what are the values it should care about. And this constitution is derived from broad listening derived from the free opinion groups. And we resulted in three very funny personalities. Panda the regenerator which is region inspired. Luna the open source capitalist who is very much about numbers impact max utility and we have Grant the Gitcoin communist who cares about community voting and so these politicians we call them politicians because in many way we want them to be voted on right and we want them to give power and influence over how for example these fundings are distributed these

politicians now are able to read through all Bitcoin applications leverage tons of data from karma gap from the application itself from hyperserts and then it puts it all into the large language model with the value set and give you back a review and why is that super cool because well it's a very transparent models back on GitHub so if you feel like your application is not well represented if you feel the views are really stupid if you want to contribute more ideas on how to improve it but you lack the coding skills to like create a new machine learning No problem. We got you. Because all you need to do is just go to GitHub and change a like a sentence here. So you

can create a pull request or you can comment on GitHub. You can say, "Hey, I don't think this is correct." Or if you're really not happy at all about this model, you can run for office yourself. That's how we call it. You can just fork the whole GitHub repository and create your own AI configurable politician. And so why did we do this? And that's because when we talked with Audrey about deep funding, she asked a really amazing question which is what about feedback? How can right like we humans steer the machine? But how do we know for example in a car when you steer you steer too much or you steer too less right? So it's important to have feedback and that feedback is something that is really powerful when everything

is transparent when everything is human readable when everything is interpretable and when in fact I will show you later when you can actually talk to these agents right and observe their values very clearly. So we built voting assistance tooling because very simply it's it's like a normal election. In a normal election, you also need to get to know the candidates first, right? So we developed everything that a normal election also has. Voting assistance tooling where you can like ask and answer some questions and then of course we have the vote itself. So no more further ado, let me just um show you what we got so far. So when you go today to vote.guff.org, or you can simply just cast your votes here. You log in with

your wallet address. We give you 100 credits by default. Then you get depending on how active you were in protocol and how much you donated in the past, you get some extra credits based on GMV. And of course to prevent civil attacks, you need to have a passport score higher than 15. Right? So in case the passport is zero, we had this issue. This is not announced. Just go to app.pasport.xyz XY Z and refresh your stamps and it should work. So how we do voting is quadratic voting. So you have these 100 credits that you can spend 100 plus your extra credits and then for example I thought I was a Panda fan but I'm actually a Luna fan. So and I'll show you later why. And so you can just

give the votes that you want to Luna and maybe I'm not able to add another 12 vote. So I have some extra credits here because it's credit voting. The first votes are like free. So like smaller then I can just distribute it according to my preference, right? And then you can just vote it here. And so the problem is but how do I know like what these agents stand for? Well, you can first look at the agent config and this is here. This is the regenerators config. It's an open GitHub repository. You can check out his style. Where is the style from the panda? You can even change its core value sets. Every agent has 20 values that we derived from broad listening implementation philosophy,

impact approach, emergency to sustainability principles. And so if you don't like it, just submit a pull request and change it. And if you're really confused about everything, don't worry, we got you. We have a voting assistance tool, Compass, which is super cool. It's using the broad listing questions that we derived from the community so you can answer it yourself. So for example, do I prefer that projects with measurable outcomes should be favored over those with difficult to quantify benefits? I think so. Yeah, I I do agree. Or should I do I prefer strong committee governance? Definitely yes.

And then you can answer these questions, right? According to your preferences and you can discover yourself. You can even double weight some of them. This one is really important to me. This one is also important. And it will calculate a preference of who you should vote. So here I'm pretty average, but you can see how my preferences overlay with each of the politicians preferences. And here you can discover them in a way. But not only that, if you're really confused about this, we got you as well. You can actually talk to the politicians. So here's Luna and you can just it's connected straight to the constitution MD markdown file and it's it's an LM that basically every time the

constitution changes reloads it and then you can ask questions like why should I vote for you instead of Panda right and then let's give Luna a trial let's ask her what she thinks what she believes in and here this way you can kind of keep touch talk to the agent, explore. This is the feedback that we're talking about. And lastly, and most importantly, the data layer, right? So, this is not a fun voting. Actually, $25,000 of open source matching funds depend on the results of this vote.

Right now, Panda is right now leading. If you disagree, please vote if you have donated to Bitcoin. But you can see in our review section that these agents do a lot of work in the background. We have a intensive data layer that for example you can look at for example gainforest this is the project that I'm leading you can see for example all of the reviews from the Gitcoin agents right now so for example Gitconist in his own personal style talks about gainforest with the strengths weaknesses and recommendations if you want to see how open source capitalist thinks about it you can do it as well and the regenerator as well right and these reviews will be added with an estimated donation support of

these agents. So you can see roughly how much they highly support it or not. And so you can really see the direct impact of your simple constitution to potentially $25,000 US of matching funds. So yeah, this is it. So if you want to participate in this experiment, I think it's quite an exciting time. Please vote. Donations and voting is open for one more week. And so we are super excited to see how this goes. Awesome. Very cool presentation. I was listening to the presentation and I was just getting fascinated and the story was also very cool. The backstory origin started from Japan and the concept taken from there and we are building on top of

that. I love the process of evolution of politicians with the blockchain background, blockchain ecosystem and the ways to show our preferences and we can actually talk to the politicians. That's not a feature that we can find easily in the real life. So it was really nice and having assistance to guide for users who want to be a participant in there like why or why not they should vote was nice touch there. I hope uh this is used and tested and the politicians are being voted and this experiment get to its result that we are hoping to get here.

Yeah, I think the most important thing would be I would love to encourage anyone who watches this to engage with the experiment and like David shared you can go to compass.deep.org OG and take the questions and see who you align with and then you know vote. You will know it and you will enjoy doing it. I think you know this is it's so fun to really you know just like vote and sort of know more about the whole thing. Yeah. So would highly encourage anyone who's watching this to please we'll also share the links probably which will be in the show notes. Very well. Um that brings us to our next segment called question and

answer segment. I understand here for this project this experiment we have use AI agents as politician that's kind of very powerful metaphor. We would love to understand a little bit more about AI's accountability here that is a concern when we think about automated system like this automation does not provide us enough transparency. How does deep governance ensure pluralism, transparency and legitability in decision making? This is such a great question. Maybe I can start and then saw when you want to add on it. I think and it's so sad in many ways these politicians are more transparent than

our real politicians because in many ways you see exactly how they are configured, right? So it's clear, the values are clear, it's clear what base model they're using. You can actually rerun every prediction you want by simply forking the model and you can see and trace every edit of the constitution of the model spec simply by looking at GitHub and the commit history. So we can see who commits, who creates, who accepts. And that's where I think the accountability layer comes in. In many ways, AI will go wrong. It's not an if, it's, and when. it will suddenly distribute enormous amounts of funds into a really bad project for example

and maybe something went wrong on the config file and having the ability to look back who committed this sentence for example secretly someone sneaked in that all the money should be distributed to this address right and it was approved by two owners of the repository then you have the accountability you can say hey guys this is not okay also another way to keep things accountable is elections I mean the reason we like this kind of metafer it's it breaks down a really complicated steering process into something that we all know about democracy. So how do you hold an politician accountable? You can either just not vote for them next election right and we will keep the elections like quickly like maybe every every

bitcoin rants round which is very fast. You can just see okay like no more voting for them because they lost our trust or what I really like about this mechanism again you can run for office yourself. If you see things are not going well and if you feel injustice is happening like in the real world please go get engaged right like and the way to do this in the Ethereum world now with deepuff is to fork the repository and just say that you want to run for office and then we will integrate you into the whole compass into the whole system and you can get voted as well. So it's really that of a system. It's an inspiration from we believe how democracy can embrace technology. It doesn't have to be one against the

other. It can be both what what Audrey often says like a plurality a digital democracy um where technology can empower human flourishment and future. We see that as well. We see this as a huge opportunity to rethink governance the Ethereum style I would say and also inspire not just in web 3 but in style outside of web 3 that this is governance that we could learn from. Very interesting and very insightful. I understand the difference here is like when we get into real world the politician may act differently but when they are AI agent they may be working mostly on the data which are being fed to them which are made available to

them. We do have much higher chances of having transparency over there. Very well. My next question is around the utility of this mechanism. It has been mentioned that this is open source. People can fork and u they can obviously reuse. So you definitely envision these models being forked and reused. What type of project you think will make use of this mechanism? Very interesting. I think one of the things that we've already been discussing like Vitalik says in his blog right every L2 has its own culture right like this whole social thing is such a big component and this is one of the big

challenges right how do you know like what people are thinking in your community right what people value so I definitely think this is something that every L2 should adopt and just like do their broad listening start with the broad listening part like broad listening is such a easy And first step to just know and know more about your community, right? Understand them. And a second crazy idea which I don't know how much I should talk about but I just feel like sharing that David and I had briefly discussed right like one day we imagine you know each L2 has deployed this and they're using this and then you know we maybe we form a parliament where in you know it's an L1 parliament where Ethereum parliament has a representative

from each L2 right and that each L2 sort of represents what that L2 thinks or like wants to prioritize or values, right? So, it's a very complex, but that would be the vision. And to be honest, like I said, any project which has a community, wants to better understand their community should just like take this and deploy it. Talk to us if you want to do that. But yeah, David, do you want to add everything just said? I absolutely agree. I think the dream of an Ethereum parliament that has members of all others L2 united together is amazing. So that's something we think would be quite inspirational and also it just generates so much data. So if you

look at it broad listing generates so much data because the values and principles are finally transparent of a community. We all feel Ethereum has so many bubbles and so many communities but we don't know what they are what they think. if you're like just coming as a newcomer. But imagine you have these constitutions. You have panda bear that's very clear. You have the open source capitalist which is very clear. Not only can you see the values transparently, you can now finally get feedback discuss reflect collaboratively learn about them. And then the other part which I really like about the election, I'm not sure if you just saw the graph. First of all, elections are a great way for reflection. And that's why we actually

said, okay, it needs to have an election. It's kind of like such a fun thing to do also. It's um celebration of democracy the election and election is helping us to reflect collaborative learn and also critically evaluate these agents and politicians right so it incentivizes us to think about them deeply but at the same time it provides a lot of data about who actually is the strongest opinion in the Ethereum ecosystem who are we like regenerators are we communist or are we supporters of open source capitalism right and we don't know except if we hold the election, right? When we hold the election, we know the data, we know the polling, we know the changes in perception over time. And so this is something that I think our space deeply

needs because Ethereum is a layer one, but all the L2s are Ethereum's cultural extensions, but who has a say? We don't know. So, it's really important to get clear about this for us as a community to move forward. Yeah. And just one thing I want to add which was actually David's idea which you know he had mentioned I think today was that maybe when we do these elections and you know depending upon who wins or which you know politician sort of gets most votes some of them also go and become like judges of hackathons right so I think that's also something I would be really interested to explore and see you know coming to reality maybe there's a way to incentivize them I don't know if that is

David you are the expert but I think those are the things that will open up as we sort of progress in the experiment and we are like you know all ready to sort of take it in all the directions we can imagine and see what needs to be done and you know what is fruitful for us and for everyone. Yeah. Another part also just to end it with this is we all know that onchain governance has a problem of participatory and active delegates. active and good delegates are heavily seek after and that's a problem because often times active delegates are ones who can afford to have the time to do so if there's no delegate problem so they represent a specific kind of opinion group that might not represent the world right what about delegates

from Africa what about delegates from Southeast Asia all these marginalized communities who cannot afford to be every day on the forum right because they have to work so having AI politicians maybe supporting in governance and forum posts and like voting helps you also to represent marginalized communities and their opinions because they can express create their own kind of like AI agent and then this one can be represented for example in the space. So we are in initial talks with for example grassroots economics who is a really amazing project in East Africa on creating a potential AI agents for the cell ecosystem. So African delegates and their perspectives can be represented and maybe even more

represented and better represented than anything else because obviously as we all know AI never sleeps. Very good amalgamation of Ethereum ecosystem plus AI. I must say that I understand that Ethereum ecosystem is built by open collaboration with open minds and these minds gives us direction to move forward. Definitely we will come across some very good idea that will help us make this ecosystem even more matured. We all are looking forward to that. My next question is about the process that we are trying to do here and the reasoning behind that. We often talk about structured decision making.

According to you, why is that critical for communities and public institution as on date? I think structured decision-m or I see it as datadriven evidence-based decision making is really important because we need to create or recreate trust in the institutions that we might have lost when decisions become too intransparent and I always joke with my web three friends how can our technology aspire to be the most transparent saying everything is put on chain right every transaction is unchained, but the decisions in the DAO, the ways how decisions are made outside of the forum

by just by int being in the right groups, right? How intransparent that whole processes compared to what our technology aspires to be is a huge gap and we all know it, right? If you're suddenly voting for a proposal and like everything seems to be okay in the forum and decision seems to be clear and then some real hidden in the dark who never engaged in anything just votes against it because someone has called him not even called him wrote him on telegram asking for favors and quit pro crows. This is not the community we should aspire to be right. This is not the role model we as etheum then should be. I think in many ways we need to recreate evidence-based trustworthy decision-m

that is transparent and that's why we believe a structured approach an approach that is reproducible an approach that is foundationally by data and explainable by data and accountability also is very essential for us as a community to move forward to not just make the rich richer to not allow just the people who are in the dark to make the decisions but to put the decision-m out in the open and allow trust to flourish. Very cool. So, this all seems like very good idea and I'm definitely looking forward to what's next. I'm wondering if there is any plan for collaboration with other public goods project in the web 3 space and also how can the community

support your mission? Yeah, I can start and then David can add. So, first definitely support us. you know it's just the beginning and we need like David said we need I think the biggest win for us would be getting a lot of data and um so please engage with the experiment we will drop the links we will also share maybe loom videos just the walk through and we have a deep curve group we have eval science which is you know our experiment working group sort of thing in public goods funding space which we would love for people to join in and engage in the discussion with us talk to us directly in the group And um yeah so that's how you can engage and we are definitely planning to sort

of continue doing this as part of GG right so the learnings that we will have in GG23 experiment we want to sort of iterate on that improve on that and add more things in GG24 so hopefully we will continue doing that with Gitcoin as David mentioned Cello is another ecosystem that you know we are hoping to collaborate with and bring Deep Cove to Cello And uh optimism is also something that we are looking at and hopefully you know where we have love and see other people who are also part of the group sort of looking into that and then you know my goal would be to do it for Ethereum as much as with all the L2s. So I think that is also something we want to sort of start thinking about on how

we can do broad listing and sort of make sense of what people are thinking what is that they want to do. So like I said initially, I think every project or sort of every ecosystem needs to deploy this and needs to sort of run this in their ecosystem. So that would be the goal to reach as many as possible and um encourage them to try it out and see how that goes. But David, any things that you want to share? No, this was amazing. Yeah. So I think we have to have more sense making in our ecosystem and we believe the broad listening technology is such an amazing technology to just learn about yourself and your community and every chain every app and every dab should really consider doing this

because your backs depend on it. So not just that but like your culture and your community and your user bases depend on it. Very well said. My final question for you both here today is about the experimentation success. If this experiment succeeds, what might it may unlock for the future of public good funding? We see it as a test run for future of onchain governance and public goods funding. We believe this is promising way to a very exciting mechanism to design around it. So we want to be forked, we want to be edited, we want to be upgraded. This is a public

good by itself, right? But we believe that this idea is as democracy is initially for everyone, it's a great shedding point. It's a place that inspires people to think outside of existing limitations. And so we hope that when this experiment succeeds that first of all like Sel said everyone's going to do this in their ecosystem but also that it brings us all together because we now understand each other a bit better right we now see the data we now see that we are not too different from each other yeah we do are part in different opinion groups and yeah maybe I do not like that you launched this meme token and memecoin but hey in the end of all we all care about Ethereum we

all have the similar value sets so I hope Ultimately when this technology succeeds we are all closer together and I feel like this project is kind of connecting web 2 and web 3 users in a way that it is bringing the concept of web two in the world of web 3. People understand what are politicians what do they do and why do we need them in the first place and we are just trying to make better use case of that having AI in addition to it. Yeah, and that reminds me I do want to give a shout out to collective intelligence project who's also like a big inspiration for this like anybody who is interested in this should go to their website you know look at their

road map and the research that they're putting out I think their collaboration with enthropic was you know where they conducted something similar right David if I remember correctly so there's a report anthropic is doing a lot of work the way they're conducting research and sort of identifying values and how decision making can happen in this complex world. So, Collective Intelligence Project, huge huge shout out and of course, Enthropic and of course Audrey who is like probably the original a lot of these things. But yeah, do check it out and you know we look up to them for a lot of these things. Yeah, very cool. This was really a lovely conversation. I thoroughly enjoyed and I hope people who are listening this recording will also enjoy

this conversation. any final message from this platform that you would like to share it today? It feels cheesy and it kind of weird to say but please go vote. Yeah. So you should vote like you should always always vote when you can vote because it's a privilege to express your opinion and influence the decision making and so don't let this privilege go away. So vote at vote.deep.org and we excited for which politician you support. Yeah, and I just want to add like vote and support the experiment, engage with the experiment and also do some experiments like I think this is the time where you know we need new ways of doing things and I

think the Ethereum community is more than open. It's in the mood to listen and it's time to like take action and see you know how we can design and define some of the things the ways things are done. So yeah and please if you want to collaborate talk to us we're more than happy to like you know support and coll you sort of work together in maybe designing some of the experiments. So yeah sweet ending note as David said voting is a privilege voting is not just a right it's a voice it's a choice and it's a step towards future that we believe in so I would also encourage people to go and vote we are going to list all the related links in our show notes. So please follow them and go and

vote. Thank you so much David and Sil for sharing this fascinating project. Deep Gup truly challenges us to think critically and creatively about how we govern, fund and collaborate in the world increasingly shaped by AI. For those listening, thank you for joining us today. We have added links to the police questionnaire and the other helpful resources in YouTube description. So, be sure to check them out. If you are new here, don't forget to subscribe to our channel. If you have already subscribed, make sure to hit the bell icon so you never miss an update. I hope you enjoyed this conversation and if it has sparked your curiosity, go

explore and get involved. Huge thanks to my fellow cat herders Akash and for their help in coordinating, editing and bringing this episode to life. Until next time, keep building the future perfect ecosystem. This is Puja Ranjanjan signing