@BaranosAI

Intelligence you don’t have to trust - The Verifiable Intelligence Layer, built on Fogo.

Onchain
Joined September 2026
Welcome to Baranos AI. Deterministic, verifiable LLM inference with onchain verification and settlement on @Fogo. Applications can check how an answer was produced. Amongst other use cases, prediction markets can use that process to resolve outcomes against agreed rules.
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As I think about trust-minimized data sources for @BaranosAI, DEXs and public blockchains have a massive structural advantage over CEXs – and we should create environments that highlight that. Intelligence sourcing data/signed messages from chains like Ethereum, et al can independently verify where that information came from, who signed it, and that the underlying record hasn’t been altered. Want to rely on an API from a CEX or data provider instead for your AI? Now you’re trusting a centralized entity to tell you what happened. The data may be accurate – but there’s no independent source of truth underneath it. They control the database, the API, and ultimately what gets served to you. That distinction becomes critical in an agentic future. If autonomous intelligence needs trusted data to make decisions, transact, and coordinate – blockchains offer something centralized databases fundamentally can’t – a shared source of truth that any agent can independently verify. So how then do we position blockchains to win? Make them the trust layer for intelligence. If agents increasingly rely on blockchains for trust-minimized sources of truth, centralized entities don’t just lose market share – they become less relevant to how intelligence understands and interacts with the realities of the outside world via verifiable onchain events. And yeah, take your decentralized wins when you can – as right now centralization has all the momentum. And this is why I’m prioritizing onchain verifiable intelligence (initially leaning on optimized blockchain feeds from other chains). Follow @BaranosAI for more.
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Baranos AI is live on @Fogo mainnet. Prediction markets can use deterministic, verifiable AI to resolve outcomes against agreed rules, with computation that can be reproduced and challenged.
1/ This quickly moved from cool demo to functional AI on the blockchain. The first LLM on the blockchain took hours to for a simple prompt. Now the front page of NPR news processed in 76 seconds for under $0.01 in gas fees. Now live on @fogo mainnet.
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Alongside this technical launch, the Baranos Whitepaper is now publicly available. Read it here: baranos.ai/assets/baranos-wh…
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There is no Baranos AI token at this time. Any tokens leveraging the Baranos name or logo are fraudulent.
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Builders would be able to use Baranos for resolution without developing their own verification system. They would still define the question, evidence policy and resolution criteria for each market.
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Results settle on @Fogo. Through a @Wormhole integration, contracts on other supported chains could receive and use them. Our goal is to make it easier to launch prediction markets with a resolution process participants can check.
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A blockchain-native inference network where AI computation, agents, and economic activity share a verifiable state machine. Only on @fogo.
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