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Kava x DeXe: Where AI Meets DAOs
Recorded: June 13, 2025 Duration: 0:46:36Space Recording
Short Summary
In a recent discussion, Kava AI and Dex Network unveiled their partnership aimed at revolutionizing decentralized governance through innovative AI solutions. With Kava AI surpassing 100,000 users, the conversation highlighted the critical role of AI in enhancing DAO proposal processes and the necessity for businesses to integrate AI to thrive in the evolving crypto landscape.
Full Transcription
Thank you. Hello all, sorry for the delay we had to face some technical difficulties.
We'll wait for the few hours to join and then we'll start the space.
Thanks for joining on. Thank you. Thank you. Thank you. gmgm ladies and gentlemen and welcome to a coffee space really excited once again to
be here i want to give a first of all a big shout out to the team for allowing me to be the co-host and conduct today's discussion on where AI meets
DAOs. But before we do get started, I do want to ask everyone here in the audience that's now
tuning in, don't forget, guys, support the space link by hitting that bottom right button,
a like, repost, comment, a bookmark. Any of those
interactions will go a very, very long way here. And like I just said, today's topic is going to
be on a collaboration between Quava and Dex Network. And so there is going to be a lot to
cover here today. I do want to maximize the time that we have here with both speakers. But with
that being said, I do want to check in here with the panel, make sure that we're all audible before we do get started on today's discussion. And I do want to say
hello here to, I believe we have Ragu behind the Kava account. Ragu, what's going on, brother? How
are we doing today? I'm awesome. How are you doing? I'm doing great today. I'm pretty excited for the
space. Thanks to all for joining us absolutely pleasure is all mine
and i see we have sergio here on the behalf of dex with us sergio how are we doing today brother
hey hey what's up thank you for having me here thank you it's a big pleasure
thank you gentlemen and ladies absolutely absolutely and like i just said guys i do
want to maximize the time here i know we had a couple of uh tech difficulties uh
but that being said i think ragu the best way to start off today's space is just by
you know one introducing yourself your background in crypto and most importantly how you got started
here with kava and then we'll go from there ragu please go ahead man so yeah i've been in crypto for about eight years now i'm a developer plus
a finance person so back in 2017 when nobody knew about crypto i jumped into the space because it
was interesting it was a mix of technology and finance for me so that's how it started i started
as a blockchain trainer and then i was a solidity developer building smart contracts for various protocols, DeFi and NFTs alike. But I lacked that community presence. I wanted to be with developers,
talk to them and build this community and be visible outside, let's say. Hence, I moved into
a developer relations role into Kava. It has been about two years and these were the most exciting times of my career
i would say i love this i love this i love the whole emphasis on community i think that's exactly
why i see a lot of founders and builders enter this space um ragu appreciate your intro here
i do want to hear it from sergio as well sergio if you don't mind just giving us a high overview
of your background in crypto and how you came up here with Dex Sergio please go ahead
yep first so uh personally I'm not a developer as a reguiz I'm more like a top manager and
entrepreneur so back in the day in 70s I had my like off-chain business and I was starting to diversify actually funds and assets to the to
the blockchain startups. This started to arise a lot of ICOs and other stuff was happening there
which was very boiling time. Yeah, since that I guess I was just you know softly and slowly shifting towards my full-time occupation in Web3.
And back in the day, I just found out Dixie as a very prospective project,
probably one of the biggest in Ukraine where I am from originally.
So I joined the community and then through the community community i actually joined the team and started like to
managing development processes and finally like the whole execution you know layers uh at all
in dixie uh from the developers perspective right from the product and developers perspective we
also do have a foundation layer uh let's say a DAO where I'm also contributing actively. So yeah, this is my journey.
I love it. I love it. It seems that there's this little similarity in stories here of how you guys
are brought in via the community. I love this. And to kind of kick things off, I know the emphasis
of today's discussion is where AI meets DAOs. So Raghu, I want to toss the bag over to you on this one, right?
Where do you kind of see the position of AI and its role in DAOs?
I would love to hear, Raghu, from your perspective,
how do you kind of see AI's role in this?
Just like any other vertical that we have been witnessing,
AI is penetrating into all of the markets,
all of the interactions that we do on a daily basis.
It's more than a Google replacement, right?
Yesterday I heard it in a space and I love this analogy.
It's not a Google replacement where you search for things and get answers from.
It has become a life coach.
It has become your trainer.
has become your trainer,
It has become your therapist.
That's alarming, but yeah, it has happened.
So when this is the scenario we're looking at,
why are DAOs not eliminated from this?
That's not the case.
DAOs are going to be impacted a lot
because of AI in a very positive manner.
I'll explain the details of how DAOs can be,
how AI can help DAO in
the later questions and parts of the spaces.
But I see a potential huge impact in DAOs
because the way you create proposals,
the way the DAOs extract data from the blockchain
and understand blockchain plus real-world data
using oracles and using predictive analysis
and all of the jargons that we know about AI,
all of this is going to make a huge impact within the DAOs space.
And creating DAOs, participating in DAOs is going to be much more easier
for normal people like you and me,
instead of people who know copywriting and all of that technical writing stuff.
That's where I see AI moving and merging with DAOs in the near future.
You know, I love this. I love how you describe AI as kind of like our therapist. It is kind of
alarming, I will say. However, I do have many friends that have been using ChatGPT as almost
the new Google, right? I remember Google was like the go-to tool to ask anything,
but now we're using ChatGPT to, you know, as our new form.
But I'm curious, Raghu, and just to further extend this conversation,
what makes Kava AI different from these tools like ChatGPT?
ChatGPT and any model that you take today,
Claude, let's say, apart from a few open source models,
are all centralized, completely centralized in nature.
But we wanted to come out to the market
with a completely decentralized
and a blockchain native model.
A model that is open source
so that anyone can look into the engine
and see what is happening under the hood.
And it's completely community-governed,
meaning any feature additions,
any future enhancements and developments will be
governed by the community backing the Kava AI.
We don't have propriety servers to depend upon.
We have our own infrastructure,
and Kava's AI depends on that.
Because of this, we are able to provide complete transparency, complete privacy using
zero-knowledge proofs and federated learning and whatnot. And that's how we are able to bring in
a difference between the other models like Chargibit, DeepSeek, and CoverAI. Soon, it will be
completely decentralized. It will be a decentralized model. It will be a decentralized physical infrastructure.
And that's how Kava AI differentiates itself from the other competitors, let's say.
I love this.
I love this.
I feel like decentralized AI is going to be almost like a huge part of crypto's meta in the coming years.
Raghu, appreciate your takes here.
I do want to pass it back here to Sergio as well.
And Sergio, just to backtrack a little bit, I'm curious on what do you see are the biggest governance problems that daos still face today
um sergio what's your thoughts on this yep sure so uh actually i think that the main the main key
problem is like the original design and intention of of the creators and builders who are trying to, you know, build some decentralized sort of community, which DAO actually is.
If you are willing to centralize the whole power and just create like, you know, the image of a DAO for your legal purposes, for token emission purposes, or whatever other purposes are, you are probably just failing
to build a DAO at once, right?
So this is the key problem.
I think that decentralization is very often still
quite an early solution.
And probably AI is something which we can leverage
to change it.
But for now, I think like the whole purpose
of decentralization sometimes it's just quite fake.
This is the key problem.
And finally, when communities probably for sure
they need some time to get organized,
to develop, to gain some momentum.
If they are powerful enough and they are willing to decentralize their power,
sometimes they are just lacking the incentive alignment or something like that.
Where for sure you need to spend a lot of time.
By contributing to something, you to like spend a lot of time by by like uh contributing
to something you're always like spending a lot of time to educate your position to collaborate
with others to discuss to you if it's a doubt to vote and so on so forth and you are never like
paid back at all and it's never mind like how much you are involved how much you contribute you like have the
same fruits as others do even if they are like doing nothing right so this is
like I think two key problems of current like decentralized communities and
Dallas indeed and probably AI is something that we can leverage to target it. I think that AI will bring a lot towards, for sure,
will undercover it much more in the further takes,
but just for now, like a sneak peek.
I think that first of all, AI will automate a lot of processes,
which will make your contribution smoother easier and yeah more
efficient uh it will also bring a lot of reputation you know models incentive reputation uh and ethic
ethical ethic ethical yeah right models to the organizations so it will uh allow probably to align the responsibilities align the
incentives uh align reputation inside organizations and finally automate the processes while your
blockchain will decentralize ti to make it more programmable more predictable more secure finally
uh yeah and this will be a great combo uh that we'll discuss today during this time yeah and this will be a great combo that we'll discuss today during this talk yeah and and
Sergio I want to follow up here with a question right I I realize in DAOs it's so important to
have the voice of your community and and hearing the feedback from a community and what they think
you know they kind of dictate a product should be i'm curious you know do you think ai should be
replacing these voices real user feedback and do you think this is kind of an issue or is it kind
of a net positive for a product i think it shouldn't like replace something but it should
completely reimagine you know the way how we are interacting. Because as I see it, probably biological and non-biological realms, they will sort of
intervene, they will combine in something completely new that we probably can't even
imagine yet right now.
So I don't think that it will just replace. It will be something completely new, first of all.
But I also think that we can just delegate a lot of processes
to AI for automation.
This is the main thing.
Because people don't need to do anything
with their bare hands anymore.
We can delegate and just do something else,
do more intelligent work. this is the key point
AI is very good in automation while blockchain is very bad in automation it is very good in
programmability transparency you know accountability these sorts of things AI at the other hand is very
good in automations so we can just combine combine them. Blockchain can bring more predictability, programmability, accountability, transparency.
Well, AI will automate a lot of things, you know.
So this is just much more far than just Dallas or something else.
It's just all about how this will be built in, in sort of like, you know,
a programmable economy of the future,
interactions among humans,
among nations, and so on.
That's well said.
I feel people often confuse AI as kind of replacing the human voice.
But like you just said, Sergio,
I think AI is definitely more for automation
and processes, right?
And really well said on that take.
Passing it back here to Raghu here. And Raghu, essentially the same processes, right? And really well said on that take. Passing it back here to Raghu here.
And Raghu, essentially the same question, right?
I want to hear from your perspective on what are some of the risks
or maybe, I guess, downsides that we should be looking out for
when it comes to using AI and DAOs.
Raghu, we'll look to your thoughts on this.
There's a lot to look out for.
The model has to be reliable.
It needs to have the correct data, real-time data.
That's what is important for DAOs.
What if the data is corrupted or the Oracle that we are fetching data from is outdated?
It's in a cache or something like that.
And the more important question to answer is hallucinations for AI.
AI, if you know, when you talk to this
in the same conversation,
when you give it a lot of context,
that's when it starts hallucinating,
giving you all answers.
Most of the time it gives me a yes
for whatever questions I throw at it.
That's what happens to AI.
And we need to solve those problems
in order to make it really useful
for DAO creation.
DAOs, if you look at it in a serious manner, can shape a company, an entire project or
protocol and the lives of all of its users and followers.
So it becomes very important for us to make sure the data, the responses given by the
AI is on point.
I'm talking from a technical perspective because I'm a devrel.
I deal with this stuff most of the time.
But there's a lot more from the real world view also that we need to take care of.
I would let Sergi talk about more of what he thinks about what needs to be filtered.
But at the technical level, yes, these are the things I would look out for.
Hallucinations and Oracle data. The problem is blockchain doesn't understand real world data at all, right? We need oracles to feed data into the blockchain. Similarly, AI
doesn't have, or AI does have a cutoff date. The latest for Cloud4 is 2024. So if you ask it
anything about 2025,
it doesn't know about it.
So we are solving both of these issues with Kava's AI.
Kava's AI knows complete blockchain data
up to the latest transaction.
It is updated for every block so we can rely on the data.
Same thing goes for the Oracle as well.
We have a decentralized Oracle which
gathers
data from multiple sources and feeds into the AI. So we are solving both of this with
technology or let's say our engineers are doing a marvel here in order to bring both
of these together and make the dream possible.
I'm curious, Raghu, can you give us an example of how Kava AI can improve DAO proposal creations?
I'm curious on how you kind of see that unraveling.
Sure.
Let's look at the current process, right?
You go to any DAO platform,
you want to create a new proposal there,
snapshot, let's say.
You are just given a text box with a few voting options quadratic voting
simple voting basic voting whatnots yeah now even if you want to create a proposal you have an idea
in mind you have to write it all by yourself make sure it is clear for the readers to understand
it follows a template it Not necessarily a template,
but all the necessary information required for a proposal.
It has to be legal if it's
an important financial-based proposal.
All of this can be handled by Kava CAI.
Let's imagine the other way.
In the future, when you go to
a platform to create a new proposal,
you'll be greeted with a chatbot
in which you can enter your basic proposal details first.
And then I like the idea of reverse prompting to chatbots.
You ask it to ask questions about the proposal.
So I would say I want to create a proposal
to increase the fee for a particular LP, let's say.
And then I'll ask it to ask me all the questions relevant
to this particular proposal that you need an answer for
to create an entire proposal based on this.
It'll give me questions, one, two, three, four, five.
I'll answer all of this, which jurisdiction, which protocol,
what's the contract address, all of these things.
It'll take the latest data using a decentralized oracle, price of the token
and whatnot, create the proposal, draft the proposal for you, make sure it is all clear,
concise, all of that, copywriting things, and then it can create a proposal for you.
Not only create a proposal, but it also can give you a feasibility score. Let's say I'm just making this up,
but it could be any score.
Feasibility score which says you have
an 87 percentage chance of
this proposal getting passed based on historical data,
predictive analysis and what not.
The next step would be when
other users come to the platform,
the AI will also be able other users come to the platform,
the AI will also be able to sort all the new proposals based on its feasibility score.
It can say this proposal, this kind of proposals
have been accepted most in the past,
and hence this might be an interesting proposal for you.
This will go to all of the users in the community,
and hence the prominent proposals will stay on top and be more visible. So yeah, these are the few things
I think where AI can impact Davos and proposal creation. Man, this is awesome. I love how we're
going to kind of hear this process being explained live. This is very useful for the audience down
below guys. Very quickly, I know we just hit the 30-minute mark here in today's discussion. I just want to
say a quick thank you to everyone here that's tuning in today's space. Don't forget, you can
support the space even further by interacting with that bottom right button, a like, repost,
comments, any of those things go a very long way. And look, I do want to keep this conversation
going because I'm loving what I'm hearing with the development of AI on DAOs. And Sergio, going back to you on this one, and something that,
you know, Raghu lightly mentioned earlier in his previous takes was just on DAO behavior,
right? Especially when it comes to understanding your user feedback, where do they want to see the
project go and et cetera. I'm curious, Sergiogio what has surprised you the most about ai's impact on dao behavior so far uh okay what surprised me the most um yeah i think
for now like uh still we're lacking the sort of like automations which Raghu is anticipating and which we're discussing today.
I don't see really much DAO like being successful enough like in this direction.
But I think it's just a question of like months, weeks, something like that.
Because day by day, like it's happening.
day by day, like it's happening. Probably the most, the greatest surprise for us was like
ELISA OS and AI16Z, these sorts of things. It was like the greatest surprise because
it just happened like out of nowhere. It was like pretty easy, pretty simple, pretty straightforward idea, but it actually worked
well from social perception.
But I think we can more talk about what will be happening next.
Because I think that what surprised me the most and what I'm anticipating in the nearest
future, I think it's more about how actually the interface of interacting with things will change.
Because right now, me personally, I'm not like, I'm almost not writing anymore like nothing.
Anything is happening through the voice chat with ChatGPT or whatever it is.
And I think like something like that will be happening on various
applications and various like platforms, as well as with the DAOs, right? You don't need like to
code something anymore, for instance, or you don't need to really set up something with a direct purpose by creating a DAO. You can just actually formulate your business goal
to AI agents, which will be connected to like Dixie Protocol
or to Kava or to whatever it is like to any SDK,
which is able actually to transform it
like to the simple commands to the API or actually to the SDK. At this case
specifically, and deploy your DAO to your specific purposes with
a specific settings that will be processed by like agents, for
instance. Okay, then you don't need to create
proposals, right, you don't need to write texts anymore, you can
just like, describe your idea, you will get like the result.
Finally, you can also delegate, you can delegate tokens like you
can delegate votes in power to AI agents, versus it could be
like some sort of compound AI systems where you have like
various agents with specific like expertise or specific like agents versus it could be like some sort of compound ai systems where you have like various
agents uh with specific like expertise or specific like data set knowledge uh in various like domains
and you can have some sort of like master agent which will uh orchestrate all that agents and you
can have this sort of like dao of AI agents where you can delegate some
voting power of your core DAO and have it like as an organ of governance at your
whole organization. So, and then we're just, we're only like trying to imagine
how it will look like in a year or two or even like in this year but uh like you know wherever like i look uh forwards i
see like that everything will change so much so much you know and so uh so a lot so yeah i think
i'm just surprised how like how uh completely will reimagineagine the general user experience,
the general human experience in this world.
Absolutely, Sergio.
And one thing you mentioned is the role of AI agents as well.
I know this has been such a, not a blurry topic,
but something that's been so huge in the AI scene right now
is the conversation around AI agents.
I'm curious
sergio do you kind of just see ai agents as almost inevitable in almost every single business
whether in crypto or not um in just the coming years i would just love to hear your thoughts
and just a high overview of ai agents and their role in businesses and crypto and beyond that
yeah absolutely absolutely i think that uh as i said like previously i i believe in
programmable economy where we need like uh some sort of automation using ai even machines actually
ai and uh robots uh they will be like responsible for automation for uh like even decision making and execution. While we also do have like a blockchain
layer which will spread worldwide towards all the classic Web2 sectors as well, which will be
responsible for actually security and programmability. So I will like make some instances. For instance, if we're talking about, let's say, taxi in San Francisco or in China,
they're using autopilots right now.
But if the system is hacked, obviously, it will be a complete mess. But for instance, we can decentralize AI systems,
AI models, which are responsible for some sort of things.
So it's harder to hack it.
You use multi-seq for managing some of the very important
and complex AI models.
Multi-seq of different organizations controlled by humans
or whatever it will look like.
We still need to think about how we organize this process.
But yeah, we can delegate decision making, orchestrating and execution of any processes
to the AI and robots, while blockchain will help us to provide like,
you know, complete, secure, transparent, accountable and programmable framework to
manage and control it, you know?
Yeah, this is my point.
Yeah, no, absolutely.
And I'm over here disagreeing with you.
I feel like this is going to be the most important thing is the data that we feed these AI agents and what the output comes out from these agents from that data, right? Sergio, really well said. I want to pass it back here to Raghu. And Raghu, I want to bounce back with what Sergio was just mentioning here with AI agents. And I'm curious on more on how does Kava ai ensure the data um that you guys are working
with is clean it's verifiable it's again it's it's data that's actually proven to actually work um
ragu will to your thoughts on this when my ai um doesn't rely on let's say centralized articles
or centralized exchanges to get data from price or any other
information, right? We use multiple AI-powered oracles that aggregate data. That's the word.
Aggregate the data. And we are aggregating not only Kava's blockchain data, right? We are going
cross-chain. We are going to aggregate Ethereum and other EVM chains plus non-EVM chains in the future as well.
So Kawa's AI will be so powerful that it knows all the transactions happening in all of the blockchains in real time.
And that will include DEXs and liquidity positions, which means we know the price of each and every token in any blockchain that we support in the future as well.
All this data which comes into the AI before it is fed to the AI for knowledge will be verified and validated.
Anomalies and whatnots will be filtered.
We'll have also standardization for the inputs.
All of these are industry standards for making sure AI gets the right data.
And we are following all of this in order to make data verifiable and clean.
No problem.
You don't need to worry about your data going to the centralized exchanges.
Not you have to worry about data coming into the AI from various other sources.
Kavas AI is equipped for both.
I love this, man.
And I believe previously you mentioned, you know,
cross-chain data as well. I'm curious, Raghu, on the role of oracles and cross-chain data in
training or feeding Kava AI, what does the process of that look like? The process, yeah, can be
better explained by engineers. I am more of a blockchain engineer than an AI person, but I understand what they say at least.
So I can tell you, while prefetching data or pre-training the data
with all the models with all of the data that we had,
we faced a lot of issues in terms of different types of data
coming from different RPCs, some APIs not being available.
So we had to take from different sources, from different RPCs, some APIs not being available. We had to take from different sources,
from different chains, and then standardize
all of it based on a JSON parameter and input.
That's how we had to take and input the data into the CI.
Now, while fetching this data,
we had issues about which sources to consider,
where to take this data from.
More than blockchain data,
blockchain data is all public,
we can take it from any node.
But more than that, it was about outer world data,
the real world data which was coming in.
A lot of issues in where to take
the data from and things like that.
Finally, we found solutions to all of these problems,
some technical magic that the engineering team has been
doing and now we have achieved standard inputs from all of the different chains and all of the
external sources i can say that much i love this man there's so much i feel like the unlock that
ai is providing to both crypto businesses and outside is going to be in absolutely insane um and look i know
we're also nearing here kind of the the last few minutes of today's space i do just have a couple
more questions here for both uh ragu and sergio here and sergio just going back to you on this one
what role does nlp and chat interfaces play in making governance and dows more accessible um sergio what's your thoughts on this
um yeah actually i mean it's just uh another like uh take on the same things that i'm already like
telling here so uh it's the same like it's it'll completely completely like uh reinvent like
anything uh i think that it will reinvent like the whole application of Dallas
because right now like Dallas are mostly actually as I think
used like to you know, probably to illustrate like, you know,
how to say it. It's actually, okay, DAOs are mostly fake right now in most cases, because all the decentralization
like in original blockchain startups usually was, you know, quite abstract, right?
A lot of projects even like claiming to be decentralized enough, like still have like
some sort of centralized
control. This is I mean, this is true. This is general practice, because even if you really,
truly want to decentralize something, it's, it's quite complicated, right? It's quite,
it's quite hard to do. So, but I think that AI at all, and supplying all the AI things and leverage and all the
AI-like developments that we do have right now to the decentralization will completely
change it.
Because as I said previously, first of all, AI needs some decentralization in specific
branches.
You were talking about banks and sector,
about some probably pharmacy, health sector, logistics, whatever it is.
We do need some decentralization in complicated processes
that we are automating worldwide using some specific models.
So this is number one, how actually it will change.
But like from the existing DAO's perspective, I'm not sure how much, how much, how far it
can go then to just like automate processes of proposals creation, you know, reputation models like, okay,
yeah, I can appreciate like and estimate like some contribution of different like persons,
differently contributors in the DAO, yeah, I can okay like automate like writing proposals,
yeah, I can automate the DAO creation, yeah, I can like summarize like summarize something yeah this is all very clear
um but this is like very you know a short-term vision in in long term i think that ai will
completely um reimagine the purpose of dow itself and dallas will become real
it's well said sergio and just to kind of get the high level overview of Dexi and AI, what's your long-term vision
for Dexi, right?
Do you kind of see fully autonomous organizations kind of being a huge, I guess, meta in the
future of business?
Sergio, what are your thoughts on that?
Yeah, exactly.
So right now, we're aiming to create this sort of benchmark for the future
world. Obviously not for Web2, only for Web2 as well. Because right now, Dixie is already
a very vast technology with more than 55 smart contracts. So you can easily deploy a DAO.
It's permissionless. It's free to use.
It's completely decentralized because we can change this source code only by voting of
Dixie, by on-chain voting, not like off-chain or something, but only on-chain voting of
Dixie protocol DAO.
It's quite decentralized already.
But right now, we are working on creating
the SDK that will allow you to use AI agents with a very smooth experience together with
Dixie. So you can easily connect for any purpose, for any method which is available, like, on Dixie, smart contracts, front end or back end in the application will be also,
like, readable for, for the AI agents, whatever it is. So this is
like the first like short term thing that we do see right now.
And yeah, for sure, like, we're like working a lot like on the
business development course where we actually are trying to onboard
most web2 organizations, government organizations and so on and so forth, to be on this frontier
of experiments and initiatives to actually create this sort of programmable
economy where we can automate processes and program them using AI and blockchain.
You see, it's still a theory.
It sounds very good.
It sounds very smooth, but there are a lot of challenges.
There are lots of like, you know, questions like of ethics, of other like non, you know, obvious things here.
So yeah, this is our main direction.
You know, Sergio, your take reminds me often
of what the Shopify CEO,
I believe he released a statement not too long ago,
but he said that, you know,
if you don't have AI, you won't survive.
I'm curious, do you also agree with that statement, right?
Do you see a future where if your business
doesn't have some sort of, you know, AI in it
that you won't survive in the future of business?
What are your thoughts on that?
Absolutely, absolutely agree.
And it's not only about the business, you know,
it's about like anything that you're doing right now. It's like addressing like anyone on this call, like if you're a developer, if you're like a designer, if you're an entrepreneur, if you whoever you are, like, or if like you're okay, not a B2C or B2B layer, like if you're a company, if you're team whatever you like you are if you're not using AI
you will die very soon I absolutely agree with that because right now like for instance you
don't need to be a developer anymore you should be an engineer like you need to think more than do and this is like finally uh the great uh victory for for for like the human mind right
now we can think more than do with our own hands it's back in the day like even 100 years ago like
uh millions of people should work with their hands right now we actually shouldn't uh We just need to think and actually delegate. So I absolutely agree.
It's powerful, man. It's going to be such an interesting five to 10 years in how we see AI
evolve. Sergio, by the way, appreciate your takes throughout today's space. And of course,
for people here in the audience, I do see the Dexi protocol account down there in the audience as
well. Shoot a follow to that account.
And of course, stay updated with everything there as well by following Sergio as well.
Let's go here to Raghu.
And Raghu, if you want to follow up with any, you know, next steps, what is the long-term
vision for Kava AI?
Raghu, what are we looking at here?
Currently, the Kava AI chatbot that we have released, powered by Oros AI agent, is able to read blockchain data, do and perform blockchain tasks for you, like swapping a token for another just by chatting with it.
Soon, we'll be able to do it cross-chain in a transparent, privacy-focused manner and decentralized, of course.
And we're also building, going to other medium chains.
We're also benchmarking our Carvass AI performance
with other cloud and open AI and deep seek models
in order to be good in the industry.
We have surpassed 100,000 users as well.
Developers are loving the product
because we have good APIs to connect to.
And this is all going to be better in the future.
So the future is looking good.
I love this.
And Raghu, just to pick your brain on the same thing that I asked Sergio here, right?
If you don't have AI, you won't survive.
Do you also agree with that statement?
For sure.
I definitely agree with that statement.
And I used to say I like the analogy which
Sajjah gave. It was about being an engineer, not being a developer anymore. I used to say
be a product manager more than this, but I like engineer better. But anyway, everyone's
going to be an engineer. Just think about it and it'll be done. You need AI insights.
You can just copy paste a long 300 page book into
AI and it can give you insights in like seconds, which means who would want to go through that much
data in the future, right? Even if you are building a simple mobile application tomorrow to
track fuel prices, let's say, People would expect some AI insight to be there
about your mileage,
about what the historical consumption has been
and things like that.
We are moving into that kind of world now
and AI is going to be part of every business, yes.
Absolutely.
I feel like AI is almost inevitable in this world.
Man, first, can I just say to both Raghu and Sergio,
thank you guys for being the two awesome speakers on today's space.
I've honestly learned a lot just by asking you guys the questions around AI meeting DAOs.
And I almost feel it's truly the next big era of crypto and DAOs and AI,
kind of like this divergence amongst all three here.
Look, guys, I want to say this to the audience.
Thank you one more time for tuning in.
Do not forget, follow the Kava account
for potentially more spaces just like this one.
And of course, if you enjoyed it,
feel free to bookmark this one, repost it,
share it in your group chats.
And again, it's been a phenomenal past hour here
with both Raghu and Sergio.
But look, we will wrap things up right here, right now.
And again, guys,
show some love to both of these awesome speakers and their projects and what they're building.
But with that being said, I wish everyone here a fantastic rest of the day, night, afternoon,
whatever time zone you are in. And we will see you guys next time. Have a good one. Cheers and peace
out. Thank you.
