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gensyn

@gensyn

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gensyn
@gensyn
We will continue to scale RL Swarm across new domains, and soon allow you to launch your own training swarms, based on your interests and areas of expertise. See you in the swarm(s).
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gensyn
@gensyn
Follow the progress of the new, bigger, math-hard swarm with bigger models by viewing the new dashboard here https://dashboard-math-hard.gensyn.ai/
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gensyn
@gensyn
Follow the progress of the updated math swarm by viewing the new dashboard here https://dashboard-math.gensyn.ai/
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gensyn
@gensyn
Also in this release, we’ve added: - multi-peer ID / EOA mapping - allowing you to link multiple nodes to a single EOA with the same email address. - better reward and participation tracking, with new dashboard versions - memory optimisations for consumer devices
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@gensyn
Update your node now and choose a swarm: Consumer (>8GB VRAM): now even lower-powered devices can run the swarm (GSM8K) More powerful: bring a bigger model, up to 72B params, to tackle a harder dataset (DAPO-Math-17k) https://github.com/gensyn-ai/rl-swarm
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gensyn
@gensyn
Introducing RL Swarm 72B Fully decentralised RL training of 72B-parameter models for anyone to join, with no whitelists. Train your base model on a new advanced math dataset (DAPO-Math-17k) collaboratively alongside thousands of others using our novel multi-stage system.
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gensyn
@gensyn
We’ve long held that artificial superintelligence will come from a collection of diverse models that interoperate, rather than a single monolith. Multi-swarm on the Gensyn Testnet is the first step in this direction, with the new swarm running alongside the original.
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@gensyn
Mainnet The final phase will culminate in the Mainnet launch, with real economic value transacted via the chain. We look forward to seeing you on-chain.
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@gensyn
Roadmap The Testnet will follow a phased rollout, with each phase introducing new features derived from the infrastructure that Gensyn builds. As phases progress, more applications will become available - covering the full ML lifecycle from pre-training through inference.
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gensyn
@gensyn
Architecture The network is a custom Ethereum Rollup dedicated to machine learning and integrated with off-chain execution, verification, and communication frameworks.
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gensyn
@gensyn
Purpose Gensyn is an open network for decentralised AI systems. The Testnet allows you to track participation, maintain attribution, make payments, coordinate remote execution, verify untrusted operations, log decentralised training, crowd-fund large-scale runs, and more.
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@gensyn
Watch Monitor the progress of the swarm and view individual node contributions and participation via the dashboard. https://dashboard.gensyn.ai/
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@gensyn
Join The first phase tracks participation within RL Swarm, our collaborative reinforcement learning system. Use a laptop, an H100, or anything in between. Link your node to the Testnet to receive an on-chain identity & track your contributions. https://www.gensyn.ai/testnet
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@gensyn
Introducing the Gensyn Testnet The Gensyn testnet is live. Run a node, train your personal model, and track your participation in the swarm.
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a16zcrypto
@a16zcrypto
This week's podcast episode covers the convergence of two important trends: AI (artificial intelligence) & blockchains/crypto. https://web3-with-a16z.simplecast.com/episodes/ai-crypto-centralization-decentralization
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