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Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHOView quoted post on X
Yuxiao Dong
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Not just China but the whole world (or humanity, as AI CEOs like to call it) is fortunate to have this group of people who quietly put their heads down, tackle the problems that need solving, and share their work with every single one of us 🙏❤️
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!View quoted post on X
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/De…
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Nearly half a year of silence. We spent it studying one problem: how far RL can scale.View quoted post on X
MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts × 16 rollouts, fully async), environments and harnesses (multi-task agentic RL, mixed across multiple harnesses in one run), and grader compute (agentic in-group credit assignment, with test-case and rubric-based rewards). We'll open-source the details piece by piece over the coming weeks.
Streaming the run: mimo.xiaomi.com/rl/
