MiniMax AI is participating in a hackathon focused on Reinforcement Learning from Human Feedback (RLHF) and agent development. The event, co-hosted with hud_evals and Y Combinator, invites developers to create verifiable tasks, RL environments, and agents using M3 open-weights. Participants have 24 hours to build and teach models, with RSVPs open until June 17th. AI
IMPACT This event aims to foster development in RLHF and agent creation using open-weight models.
RANK_REASON This is a hackathon announcement and participation by an AI lab, not a direct model release or research paper.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
