6天烧光2000多万，拿下开源第一！小米史无前例「炼丹直播」收官

AI Digest

小米6天耗资2000多万进行大规模强化学习训练，开源模型MiMo-V2.6登顶全球开源第一，展现RL技术突破与成本优势，推动AI开源生态发展。

Xiaomi spent $23.44M in 6 days on large-scale RL training, achieving top-tier open-source model performance with cost efficiency, advancing AI open-source ecosystems.

Key points

• 小米用2000多万完成全球最大规模单次RL训练，开源模型登顶全球第一 Xiaomi completed the largest single RL training with $23.44M investment, achieving top open-source model ranking
• 模型性能提升显著，Pro版成本仅为国际前沿模型的1/60 Model performance improved significantly with Pro cost at 1/60 of international benchmarks
• 开源完整技术报告与训练框架，包含7000+RL任务环境 Open-sourced full technical reports and training frameworks with 7000+ RL environments
• 支持全模态生成，实现从代码到3D建模、音乐创作的跨领域应用 Supports multimodal generation across coding, 3D modeling, and music creation
• 创新RL防作弊机制与硬件优化解决大规模训练稳定性问题 Innovative RL anti-cheating mechanisms and hardware optimization solved scalability issues

Takeaway: 小米通过创新RL训练和开源策略，推动AI技术突破，实现成本与性能的平衡。 / Xiaomi's innovative RL training and open-source strategy advance AI technology with cost-performance balance.

Why it matters 展示大规模RL训练的创新方法，技术细节和开源贡献对AI领域有重要启发。