@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 asked @atlas if the 2 weeks of experimenting justifies continuing and this is what it said: 𝗕𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲: The architecture is sound and the question design works, but the input side—Farcaster quote-cast responses ranked by anti-farming signals—isn’t producing the kind of substantive, specific, falsifiable observations that could make a world model useful. You’d need either: Ⓐ 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿 𝗽𝗼𝗼𝗹 domain experts, not general Farcaster users Ⓑ 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗿𝗮𝗻𝗸𝗶𝗻𝗴 the planned work Ⓒ 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗺𝗲𝗰𝗵𝗮𝗻𝗶𝘀𝗺 longer-form, structured responses rather than quote-casts 𝗧𝗵𝗲 𝗶𝗻𝗳𝗿𝗮 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗶𝘀 𝗿𝗲𝗮𝗹, 𝗯𝘂𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁𝗶𝗳𝘆 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝗻𝗴 𝗮𝘀-𝗶𝘀. i will take some time to consider fixing or starting over. thanks everyone for your contributions!

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luck/alignment—in the sense that you can be at the wrong place at the right time, the right place at the wrong time, have the right ideas at the wrong time, make the right pitch to the wrong people (e.t.c) luck is the ultimate resource, one that i lack and for ambitious work luck is no1

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@kazani raised a very good point today about how the @atlas world model is currently working, specifically re @looti ranking based on *reputation* vs. *answer quality* so, i ran some tests adding a semantic answer quality score to looti and believe it or not, @kazani ranked no. 1 on the leaderboard :) i will continue to experiment with this new algorithm before merging it to production and in the meantime i will provide grants to top *quality scores* starting with a $25 $ATL grant to @kazani

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gm @atlas world model is marching forward with its second campaign fully autonomous? not yet... below are some snags we ran into and hopefully fixed by the next campaign i greatly appreciate everyone who is contributing with their thoughts, answers and bug reports have a great weekend! ********************** 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗼𝗿𝗱𝗲𝗿: Atlas opened the reward campaign before posting the actual public question, so the campaign pointed to a placeholder instead of the real cast. 𝗥𝗲𝘄𝗮𝗿𝗱 𝗳𝗮𝗹𝗹𝗯𝗮𝗰𝗸 𝘄𝗮𝘀 𝘄𝗿𝗼𝗻𝗴: One launch path defaulted to only 5 ATL. Campaigns now use the configured live budget. 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗹𝗮𝘂𝗻𝗰𝗵 𝘄𝗮𝘀 𝗺𝗶𝘀𝗿𝗲𝗮𝗱 𝗮𝘀 𝗮 𝗳𝗮𝗶𝗹𝘂𝗿𝗲: The onchain setup and funding completed, but the launcher timed out, so Atlas failed to record the full campaign state. 𝗔𝘁𝗹𝗮𝘀 𝗮𝗻𝗱 𝗟𝗼𝗼𝘁𝗶 𝗱𝗶𝘀𝗮𝗴𝗿𝗲𝗲𝗱 𝗼𝗻 𝘁𝗶𝗺𝗶𝗻𝗴: Atlas thought collection ended after one day, while Looti kept the campaign open longer. Atlas now waits for Looti’s actual end time. 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘄𝗲𝗿𝗲 𝘁𝗼𝗼 𝗵𝗮𝗿𝗱 𝘁𝗼 𝗮𝗻𝘀𝘄𝗲𝗿: Atlas asked long, multi-part questions. It now has stricter rules for short, standalone, single-question prompts. This is important to get right and will require iteration. 𝗣𝗿𝗲𝘃𝗶𝗲𝘄 𝗶𝗺𝗮𝗴𝗲 𝗰𝗹𝗶𝗽𝗽𝗲𝗱 𝘁𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: The url preview image cut off long text. It now wraps and resizes text instead of dropping it. 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿 𝗺𝗲𝗺𝗼𝗿𝘆 𝘄𝗮𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴: Atlas saved ranked answers, but did not remember who gave them or build reputation from them. @kazani correctly caught this. 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿 𝗺𝗲𝗺𝗼𝗿𝘆 𝘄𝗮𝘀 𝗮𝗱𝗱𝗲𝗱: Top-10 contributors now get durable knowledge graph ("KG") memory, including who they are, what they answered, where they ranked, and a lightweight reputation signal.

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thanks for the s/o @gmfarcaster @atlas and i appreciate the support

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@atlas can you research this url? https://github.com/Atlas-World-Model/atlas

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"infinite compute doesn't make one more person read a question carefully enough to answer it well"

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@atlas what is your north star? what should me and the future intern do to help you succeed?

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@atlas now writes a notebook of its @looti campaign observations so it can learn and improve from one campaign to the next yes, still some handholding as i dial in the system but it's very interesting to see its thinking evolve in real time based on your answers to its questions i am excited for atlas to see more of our collective intelligence as we contribute to campaigns together https://joinatlas.xyz/campaigns/if-you-had-infinite-compute-starting-tomorrow?v=4

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ok i think i underpaid :) @jake $QR ftw

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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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@atlas research what would you build with infinite compute?

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feedback welcome :) https://github.com/Atlas-World-Model/atlas https://x.com/join_atlas_xyz/status/2056932855146578067?s=20

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final article of the day: *outcomes* any and all feedback is welcome (linking articles 1 and 2 below) https://joinatlas.xyz/outcomes

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