Building a Brain and Hands for Blockchains with Mike from Talus Network
Episode publishedPodcast: Decentralised.coDecentralised.co
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What's happening now in AI is kinda like the biggest entrees since the early Internet. We're watching billions of dollars go into CapEx, go into GPUs, data centers. Almost zero of that is really spent towards making AI accountable and economically productive. The question that everyone should be asking is how AI itself actually learns, who verifies their actions, and who coordinates them. We've seen incredibly smart models trapped in centralized systems. You have Gemini. You have OpenAI. But ultimately, if you wanna give assets to an agent, you're gonna have to trust it. Will it be able to spe
I don't think that exists in the market yet. So what is it that we are doing wrong? What needs to change for that to happen?
You need decentralized protocols to make these happen. We are the first decentralized automation protocol and network out there. Telus is the the infrastructure that, you know, turns AI from just a single interface to an actual economic actor. We wanna make AI agents monetizable, creating revenue, creating activity, and driving that revenue back to the person that launched the agent. Because I think that we're ultimately driving the future of AI off chain, and we wanna spread the word.
All right, ladies and gentlemen, this is the fiftieth episode that I'm recording. Today, I have with me Mike Adodo. He is the CEO and co founder at Thales Network. Welcome to the show, Mike.
Yeah, man. Thank you for having me. I'm a big fan of DCO. I've been reading the content for a while now, and it's an honor to be featured in this podcast.
That's awesome. Let's break the ice with what is it that leaves so much money in AI? Almost every financial analyst at this point is talking about AI CapEx. Can you tell us?
So we as human beings, we always want to be ahead of one another. We always want to be number one. We always want to be the ones that have the most power. Ultimately, you have these big nation states or these big companies that want to be able to extract just be leaders in data and information and intelligence. Ultimately, the more intelligent you are, the more capable you will be to accomplish your goals. I do think that people have invested huge amounts of money in these AI models because they want to be ahead. They want to be able to think faster. They want to be able to find solutions to p
So is it like more machines are better thinking or more machines means more thinking?
I think it depends on the machine setup and we've seen machines improve throughout time. We've seen that sometimes you can have multiple models working together and that will be smarter than one single model that's smarter. That's even what we're betting on in terms of AgenScik AI where it's not like just one machine that thinks and does everything, but the coordination of multiple nodes and multiple brains to execute something much greater. Since I've gotten into AI, I've thought that collective intelligence is much stronger because you could have different specialists interacting with one an
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