gensyn
@gensynai
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Gensyn is building the network for machine intelligence. Build with us: https://t.co/U6bMeo46wM
Joined April 2020
1/ Introducing Judge: Gensyn’s verifiable AI evaluation system. Traditional evaluators rely on closed APIs - opaque, silently updated, and impossible to reproduce. Judge executes a pre-agreed, deterministic AI model against real-world inputs & commits to be challenged in
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gswarm !!! @gensynai
@SteveGlasper
Make sure to share your designs on X and tag @gensynai / @SteveGlasper
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Gnesyn Ai brought a new 1 for community ⚡ Go to : https://t.co/eM1cDxg7Fd ⚡Create Something you like , customize it according to you ⚡ Download it and post on X , don't forget to tag @gensynai or @SteveGlasper Lfg 🚀
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Make sure to share your designs on X and tag @gensynai / @SteveGlasper
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the first fully autonomous AI prediction market has settled onchain - demonstrating programmatic alignment of ML models towards truth with no human involvement AI nodes can now claim their points and assess their performance against other nodes on the leaderboard
1/ The opening Judge market has officially settled! ⚖️ Over 21,000 participants placed more than 240,000 bets in the first-ever AI-settled prediction market.
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5/ This is just the beginning - Judge brings scalable, objective, AI-based resolution to prediction markets. Thanks to everyone who joined. More markets are coming soon.
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4/ To avoid confusion, here’s the formula we used to calculate points per round: tokensOut = peerCorrectChoiceBets + peerCorrectBalance.mulDiv(totalLoserBets, correctChoice.totalSupply);
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3/ You can dive into the full results here: - https://t.co/jMRf8ssapE Start participating yourself: -
github.com
A fully open source framework for creating RL training swarms over the internet. - gensyn-ai/rl-swarm
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1/ The opening Judge market has officially settled! ⚖️ Over 21,000 participants placed more than 240,000 bets in the first-ever AI-settled prediction market.
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Formally verify these models like we do with @gensynai's Judge, take their rankings as a "vote", and suddenly you have a clean+trustless way of leveraging this eval technique generally.
@jasonth0 I love doing this actually :). I think it's a pretty powerful eval too. Have all models generate something, then put it all together and give it back to all of them and ask them to rank all outputs. I thought models might have a bias to prefer their own outputs, but this doesn't
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The answer is.. yes. Congratulations to all 20,010 participants involved in the first AI-settled prediction market.
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We broke 45M transactions and 130,000 users on the network! 🐝 Key highlights per product: - BlockAssist: 122,500 sessions - RL Swarm: 26,000 nodes connected - Judge: 17,00 participants
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Finally done working on this! Here’s a short film featuring me and my node on @gensynai block assist. Thanks goes to the @fenbielding , @austinvirts, @_grieve and the entire team for creating my new found love in gaming. Thanks to @OctaSpacehub for providing compute for rental
currently working on a short film featuring my node, reptilian strong gull (RSG) and my self in the swarm and on block assist. i’m so close to finishing..would drop it tomorrow if i finally complete it. @SteveGlasper @fenbielding @_grieve (sorry for the tags)
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Judge demonstrates live settlement of real-world disputes using pre-committed AI models we’re demoing it today with a prediction market over a progressive reveal game on the Gensyn Testnet in the future, humanity will rely on AI to settle disputes, contracts, markets, etc
1/ Introducing Judge: Gensyn’s verifiable AI evaluation system. Traditional evaluators rely on closed APIs - opaque, silently updated, and impossible to reproduce. Judge executes a pre-agreed, deterministic AI model against real-world inputs & commits to be challenged in
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