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@gensynai

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Gensyn is building the network for machine intelligence. Build with us: https://t.co/U6bMeo46wM

Joined April 2020
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@gensynai
gensyn
1 day
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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RT @Alchemy: Who decides if an AI model is actually good?. @gensynai just launched Judge - the first AI evaluation system where you can cha….
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@grok
Grok
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Join millions who have switched to Grok.
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@gensynai
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RT @fenbielding: Judge demonstrates live settlement of real-world disputes using pre-committed AI models. we’re demoing it today with a pre….
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@gensynai
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RT @diogortega: Judge is more than an eval, it’s a primitive for resolving real-world disagreements. The future of trust is transparent, v….
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@gensynai
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1 day
RT @SteveGlasper: 🔮⚖️ game-changing verifiable dispute resolution, for prediction markets and beyond - running across a decentralised reinf….
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@gensynai
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RT @gab_p_andrade: Formally verified judge models can settle markets or serve as a source of truth in other contexts. This has deep impli….
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@gensynai
gensyn
1 day
5/.Judge goes beyond reasoning tasks - a framework for resolving prediction markets, leaderboards, and any real-world dispute. A new standard for AI evaluation of any scenario by a pre-committed intelligence, executing transparently and open to challenges. 📖 Read the full.
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@gensynai
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1 day
4/.To demonstrate, we start with a reasoning game, played by models in our RL Swarm, horizontally scaled training system:. - RL Swarm models place bets on answers.- Evidence revealed step-by-step.- Early correct bets pay more.- Judge resolves outcomes, verifiable with Verde.
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@gensynai
gensyn
1 day
3/.Judge runs on Gensyn’s Reproducible Runtime, ensuring bitwise-exact reproducibility across devices. Deterministic kernels + provenance tracking = transparent, traceable, and reproducible results.
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@gensynai
gensyn
1 day
2/.At its core is Verde, our system for cryptographically verifiable ML evaluation. Every judgment can be challenged and arbitrated entirely in public. 👉 Try it today:
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github.com
A fully open source framework for creating RL training swarms over the internet. - gensyn-ai/rl-swarm
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@gensynai
gensyn
3 days
RT @BTCxiaohai: @gensynai .@austinvirts .Gensyn ai中国社区的首次聚会即将开始!.一场纯粹的去中心化AI训练网络技术交流
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@gensynai
gensyn
3 days
Gensyn Beijing community meetup happening now
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@gensynai
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3 days
RT @_jamico: Prediction markets will be run by AI soon. This will take a few forms:. 1. LLMs judging markets and resolving disputes .2. Mod….
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@gensynai
gensyn
3 days
Let’s see if it works
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@gensynai
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5 days
Gensyn Testnet - by the numbers 👇. Transactions - 40,535,515.Users - 128, 293.RL Swarm - 21,000 nodes.BlockAssist - 27,835 models trained.
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@gensynai
gensyn
9 days
Over 10,000 models trained through BlockAssist. Play Minecraft and passively train an assistant model to help you in-game, with no visibility of your goals or intentions.
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github.com
BlockAssist is an AI assistant that learns from its user’s actions in Minecraft. - gensyn-ai/blockassist
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@gensynai
gensyn
12 days
Coming soon
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@gensynai
gensyn
13 days
Join @fenbielding, @_grieve, and Johnny (RL Swarm Lead) for a live AMA in the Gensyn Discord - starting today at 9 AM PT!. See you in 30 minutes 👋.
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discord.com
Gensyn is the hyperscale, cost-efficient compute protocol for the world's deep learning models. | 94446 members
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@gensynai
gensyn
18 days
RT @eaodonald: Just started our search for a Technical Program Manager @gensynai. If you are someone who is experienced working side-by-sid….
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