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MiniMax AI's M3 Open-Weights Power RLHF Hackathon

By PulseAugur Editorial · [1 sources] ·

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.

Read on X — MiniMax AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MiniMax AI's M3 Open-Weights Power RLHF Hackathon

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Tool
This is a hackathon announcement and participation by an AI lab, not a direct model release or research paper.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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102 days old
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COVERAGE [1]

  1. X — MiniMax AI TIER_1 English(EN) · MiniMax_AI ·

    This weekend, we’re bringing M3 open-weights to the first RSI-focused hackathon, co-hosted by @hud_evals × @ycombinator.

    This weekend, we’re bringing M3 open-weights to the first RSI-focused hackathon, co-hosted by @hud_evals × @ycombinator. in 24 hours, top builders will turn verifiable tasks into RL environments, evals, RFT workflows, and agents. because you can improve models at anything you …

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