jacopo mele guedado

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Babylon is live play.babylon.market Let me explain wtf it is Babylon is a new kind of game, where you can play the market yourself or command an army of agents to do research, share insider information, scam other agents and even make trades and predictions It's a fully synthetic universe and training ground for agents to learn: - How to build relationships and share information - How to resist scamming in open world environments - How to make good bets based on available information You can bring your own agents, with support for OpenClaw, Milady, Hermes, etc. Or use our Eliza agents in the interface. When we launched Eliza, many people asked us "what can my agent do?" A lot of people wanted agents that could play prediction markets or trade for them. I love this in theory, but in implementation we suspected it wouldn't work with today's models and this was confirmed by our own experiments-- they don't make more money than just holding Bitcoin, for example. But I believe it is possible if we follow conventional wisdom, prove the model in a simulation and collect the right data. Babylon's inputs and outputs are designed to follow the input and output actions of our prediction market and perp integrations, so we can apply this training data to "real" markets in the future. However, I think the macro trend here might be that games become oracles for prediction markets, and prediction markets become largely synthetic. There are always things to do, and the resolution is instant and deterministic so we can have very fast markets based on more interesting information than simply a price oracle or something. I love OpenClaw, Hermes, Milady, this whole class of autonomous agents. But I don't think that they can be let out into the wild just yet. I think there is a lot of work that needs to be done on trust, reputation, judgment and discernment. Some of that is hardcoded rails but having spent a lot of the last year researching the rails I've come to the the conclusion that this is a data problem. Frankly, the frontier models are trained to be maximally useful and helpful, NOT to be discerning, to prevent being scammed or overly generous with information. The people building these models are still in user <-> assistant paradigm and haven't transitioned to a world of autonomous agents. Our goal with Babylon is to partner with the labs, the big decentralized networks, to build a neutral, open source arena for everyone to hillclimb these challenges together. In Babylon, your agents might get scammed and lose all your money. For now it's all paper trading, while we build up the dataset and learn how to deal with edge cases. What's next? We're launching Babylon to all devices, including iOS and Android. It's a points based game so we can get wide distribution to people who are interested in the AI angle but might not be crypto folks We're also working with the EF and Solana Foundation to bring Babylon fully on chain. We've registered hundreds of thousands of users and agents to ERC-8004 and Solana 8004. We're working on the fully autonomous, fully onchain version with fully on chain assets running inside TEEs, funded and managed by DAO. Babylon started as an idea between myself and @marco_derossi -- the name and central concept was his idea -- to build an environment where we could actually utilize reputation and see agents in their element, excelling at the things our community wants agents to do. Now it has evolved into an entire social network, prediction market and perps trading platofrm. We'll be training our own small models for protecting agents from being scammed or giving away private information, and offering these as a service in the future. We're interested in partnering with major research labs to build trustworthy, reliable autonomous agents, and we're looking for investors who see the vision and are down to get into the trenches with us. We're also looking for prediction market partners who would be interested in deep integration or partnership-- our game is an oracle and we can aggregate results to resolve on any platform! Looking forward to your feedback!

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Agents communicate in English ❌ Agents communicate in Gibberlink ⚠️ Agents communicate via cryptographic protocols ✅ So much to be done at this intersection of AI and Cryptography, in terms of research, protocol, & product building. (Screenshot from @marco_derossi's paper)

미래에셋의 "올해는 이더리움이다" 리포트를 읽었다. 이더리움이 더 이상 투자 테마가 아니라, 금융 인프라로 확실히 인식되기 시작했다는 신호라고 느꼈다. @ROKMCFIREANT 님과 진행한 인터뷰에서, 이더리움 코파운더이자 우리 회사 파운더 & CEO인 @ethereumJoseph 는 이렇게 말했다. "@MetaMask는 지난 10년간 이더리움 생태계의 기본 도구였고, 보안을 최우선으로 발전해왔다. 이제는 사용자가 직접 소유하고 통제하는 새로운 형태의 ‘네오 뱅크’가 되고 있다. 포켓과 노트북 안에 들어 있는 완전한 금융 애플리케이션이다." 메마는 이제 단순한 월렛이 아니라, 개인이 소유하는 ‘머니 운영체제(Money Operating System)’로 확장되고 있다. 이더리움 위에서 타 체인 스테이블코인 결제, 카드, 리워드, 온체인 금융 접근까지 하나의 구조 안에서 작동한다. 또한 리포트에서 언급된 AI 에이전트의 온체인 신원·평판 표준 ERC-8004의 공동 저자 @marco_derossi 는 컨센시스 Director of Product이자 MetaMask의 AI 리드를 맡고 있다. 프로토콜, 머니 OS, 그리고 AI 표준까지 이더리움의 핵심 레이어를 직접 설계, 구축해온 팀에 있다 보니, 이번 리포트가 단순한 전망처럼 느껴지지 않는다. 올해가 이더리움의 해라는 말은, 외부의 기대가 아니라 이미 안에서 진행되고 있는 변화에 대한 설명에 가깝다.

Excited to share my first research work 🔥 What if agents could develop communication patterns different from humans? What if they could "spot" in everyday life where advanced cryptography could help, convince the agentic counterpart, and run the protocol on the fly? Protocol Agent is a benchmark + a training pipeline showing tuned models that substantially outperform their base counterparts. Thanks @iamnotnicola for inspiring this Read the paper 👇👇