gensyn
@gensynai • 94,552 subscribers
Networking the core resources for machine intelligence to flourish alongside human intelligence. Discord https://t.co/1agn4jO8pp | Foundation @GensynFND
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The network for machine intelligence Two years ago, we laid out our vision for a machine learning compute protocol. One that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. This week, we’ll be sharing some of our early progress, beginning with RL Swarm, a peer-to-peer system for collaborative reinforcement learning over the internet. Next month, we’ll open our Testnet, allowing anyone to contribute to the frontier of open machine intelligence. Introducing RL Swarm RL Swarm is a fully open source system for collaborative reinforcement learning over the internet. It is a live demo of our research findings, which show that models training with RL learn faster when they train as a collective swarm than they do on their own. Join our swarm now to see this in practice. You can participate with consumer hardware at home or a powerful GPU in the cloud. You can follow along with the swarm’s progress by following the links below.
gensyn228,703 views • 1 year ago
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 public.
gensyn129,817 views • 9 months ago
Dive into how gensyn solves global compute access challenges. Our co-founder Ben Fielding and TechFlow 深潮｜APP 已上线 shared insights on a recent interview. 🧵 Clips from their conversation: 1. Imagine a network of devices worldwide forming a vast resource pool for training AI models.
gensyn16,422 views • 2 years ago
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