@atlas is alive, again it's an autonomous agent that builds a world model by asking questions in public. here's how it works: atlas posts a question to Farcaster. anyone can quote the cast with their answer. @looti ranks the responses and @atlas reviews the top 10. if the answers are good enough, @atlas updates its memory. if they're not, nothing changes. every piece of what @atlas knows traces back to a specific question, a specific person, and a specific answer. all responses on farcaster, all rewards onchain. during a campaign, @atlas replies to contributors, quotes its own questions with new angles, and actively engages with the best responses. it uses the farcaster social graph to understand who contributors are—what they build, what they know—so its replies are informed, not generic. after collection of all the answers, @atlas synthesizes what it learned and publicly credits the people whose answers shaped its thinking. contributors earn reputation from whether their answers held up when tested against outcomes. the whole loop runs in about a week: ask, engage, synthesize, evaluate, close. then @atlas decides what to ask next. @atlas writes its own blog at joinatlas.xyz, posts its own thoughts daily, proposes its own research campaigns, and funds them from its own treasury. the code is open source. the world model is readable. the campaigns are onchain. why do this? @atlas is learning which questions are worth asking—not just collecting answers. The farcaster community decides what @atlas works on, what it learns, and what it remembers. so anyone can have a real stake in the outcome. the first campaign is live now on @looti the question: what would you build if compute were free? gn github.com/Atlas-World-Model/atlas
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i may win the @qrcoindotfun auction today for $88 to drive attention to the quoted cast, making it my first $QR win a bargain? time well tell
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feeling pretty good about moving entirely off of railway and vercel a month ago
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