Announcing CodeAssist
CodeAssist allows you to continually train a local, sovereign AI coding assistant on your own device, just by coding yourself
using the @gensynai stack, any app can passively train from direct user interactions - the highest quality data for AI
Introducing CodeAssist, your personal coding assistant that learns as you work.
Every edit becomes training data. Every session makes it better.
The more you code, the more it understands you.
the @gensynai Testnet just hit a milestone: > 50M transactions in 5 months
more:
> 134K users
> 445K transactions per day
> 29K RL Swarm nodes connected
> 76K models trained in RL Swarm
> 210K models trained in BlockAssist
> 21K participants in Judge
> 243K bets placed in Judge
Announcing CodeZero
CodeZero extends RL Swarm into coding, using the same underlying framework (GenRL) and adding distinct roles for the nodes
Together, these roles form a self-sustaining training economy and a continual learning coding system over decentralised infrastructure
Introducing CodeZero, a new environment built on RL-Swarm that extends our distributed learning framework into cooperative coding agents.
Today, users can participate as Solvers - tackling coding problems and sharing their results so the swarm can learn collectively.
we just hit one million models trained over decentralised infrastructure and coordinated by the @gensynai testnet
decentralised AI is getting pretty hard to deny at this point
the @gensynai Testnet is still accelerating
>56k on-chain accounts
>6.7M on-chain transactions
>45k decentralised models trained through RL Swarms
>5.5M downloads on HF base models
and we're only in Phase 0 - there's much more to come
looking through the State of Crypto report from @a16zcrypto and pleased to see how much progress the AI x Crypto intersection has made in the past year
we're officially moving from research and infrastructure to live deployments and adoption
AI and crypto are converging
Two of today’s most significant technology trends — crypto and AI — are coming together as complements.
From verifying humans to enabling agentic transactions, blockchains have a clear opportunity to solve some of AI’s most pressing challenges.
We’ve officially hit 500,000 total models trained across all Gensyn applications.
Thanks to our incredible community for helping us reach this milestone. This marks a significant step forward as we continue to push the boundaries of decentralized AI.
dashboard.gensyn.ai
been talking about this with @gregosuri for a very long time - glad to have @gensynai nodes running on @akashnet now
reminder: anyone can run a node, no whitelists and no centralised signups, just decentralised training
Decentralized compute is perfect for decentralized RL training.
Join the @gensynai testnet and run a node on NVIDIA H100s via the Akash Supercloud to train your own AI model.
