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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.

One of the most powerful yet least well-understood token types is the arcade token. 👾🪙👀 The name comes from the idea of an arcade where you swap cash for physical tokens you can use to play Tekken Gator Panic – but the idea encompasses all manner of

As an author, reviewer, and AC, I propose adding a resource tag (e.g., industry/academic, low/high compute) to ICLR/ICML/NeurIPS submissions. In the pursuit of AGI, research resources vary drastically. Some works are minimal academic prototypes; others come from well-equipped

One million models trained on the Gensyn testnet. To everyone running nodes, experimenting, and building with us - thank you. This milestone is yours.

🚀 We propose Generative Adversarial Distillation (GAD) 🤖 Designed to perform on-policy distillation from proprietary black-box LLMs. ➡️ Requires neither access to teacher logits nor alignment of tokenizer vocabularies. (1/n)

We have released a new study examining the robustness of decentralised reinforcement learning (dRL) under GRPO-style training. The work provides the first systematic evaluation of poisoning attacks and corresponding defense strategies in dRL systems. We hope that our initial