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Reppo
5,727 posts
Decentralized AI Training + RL Infrastructure, powered by Prediction Markets
- Reppo repostedReplying to @reppo and @Litebeam_xyzWhat stands out to me is the feedback loop being created here. Litebeam captures outcomes, Reppo adds stake-backed human judgment, and that signal improves future routing decisions. The result isn’t just better data, it’s a system that gets smarter as more participants
- The @Litebeam_xyz datanet has been seeded with one of the highest amount of emissions (in ) the network has seen. @Litebeam_xyz routes calls and records outcomes while @reppo curates the data using economic stake backed judgement. The curation signal feeds back into routing
- Reppo repostedSelf-improving is now all over my TL. It's now being widely discussed. Today, self learning and self improvement uses "self-judging" For example, when Hermes agent runs a real-time RL loop, it evaluates itself. It runs local code compilers or uses an "LLM-as-a-judge" prompt to
00:00 - Reppo repostedReplying to @AlgodTrading and @reppoOur Vetoken model is entirely different and addresses your critics on misaligned incentives. Some thoughts if you are keen to learn how we have innovated on the mechanism design -
- Reppo repostedEvery company will need two forms of capital: human capital (judgment, expertise, creativity, relationships) and token capital (the AI capability it builds and owns): - Human capital will become higher leverage and more valuable. Humans provide the ambition, context, taste, and
- Reppo reposteddata has always been the bottleneckAnthropic, OpenAI, and Google have 100’s of billions in funding, Nobel winners, and access to leading-edge compute, and yet they can’t really top Chinese open-sourse models?
- Reppo repostedWhat if the market decided which robotics data was worth keeping? We think it should. So do our new partners. Every great robotics asset leaves behind proof of quality — we’re making that proof visible, priced, and reusable. Something big is coming on Monday.
- The Reppo Foundation has burned an additional 1M tokens worth $17K USD + permanently removing it from supply - basescan.org/tx/0x11798ff4a… This adds to the 2.58M tokens burned this month manually. Each datanet spin up programmatically burns 2K $REPPO and 42k $REPPO has been























