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Sinan Ozdemir

Verified account Fireworks

@Prof_OZ

AI Education @FireworksAI_HQ ๐Ÿ”ฅ๐ŸŽ† NLP + Gen AI Expert / LLM whisperer ๐Ÿค– AI Author ๐Ÿ“š Founder @Aikylie (acquired) ๐Ÿ“ˆ Fellow @YCombinator
San Francisco, CA sinanozdemir.ai Joined March 2012
1.6K Following 2K Followers 562 Posts

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Sinan Ozdemir Verified account @Prof_OZ
I'm especially looking at "mixed across multiple harnesses."

Harnesses change pretty often. Teaching a model to adapt across tasks AND harnesses at this scale will really help future proof our models.

Not a new technique, but cool to see it become more and more the default.
Fuli Luo Verified account @_LuoFuli Sep 16
Nearly half a year of silence. We spent it studying one problem: how far RL can scale.

MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts ร— 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/
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