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Lee Robinson
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Lee Robinson

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@leerob
Model behavior @cursor_ai. Helping train useful models.
Iowa
leerob.com
Joined October 2009
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    Lee Robinson
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    @leerob
    Jul 24
    Humans try hard things, fail, learn, and get better through repetition. AI models aren't as different as you might think. Here's how models "learn" explained in simple terms.
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    Article
    How we teach AI models
    How do AI models learn new skills and behaviors? The process is surprisingly human and easy to understand, even if you don’t have a machine learning background. Helpful colleagues AI models,...
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    Lee Robinson
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    @leerob
    Aug 8
    We’re making great progress on improving the writing quality and design taste of Grok. Still a lot more to do, but I’m encouraged by how quickly we’re iterating. Please let me know any feedback. Grok 4.6 soon!
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    Lee Robinson
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    @leerob
    Aug 4
    The open ecosystem benefits when we all share research and code together. Proud to see this. Long live open source!
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    @cursor_ai
    Aug 4
    We're open-sourcing Mixture-of-Kittens (MoK), our MoE training megakernel for NVL72s. It fuses all Mixture-of-Experts communication and computation into a single, fully deterministic kernel, and runs up to 2.37x faster than the strongest public baselines.
    Bar chart: Mixture-of-Kittens reaches up to 2.37× higher MXFP8 forward throughput than the fastest public baseline on GB300 NVL72s, across Kimi K2.7, GLM 5.2, Qwen 3.5-397B-A17B, and DeepSeek V4 Pro.
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    Lee Robinson
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    @leerob
    Jul 24
    There's something missing from the open vs. closed models debate that has been bothering me. The better analogy, to me, is managed vs. self-hosted infrastructure for AI. Maybe a company wants to use an open weight model because they want to do additional training on top,
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    Lee Robinson
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    @leerob
    Jul 20
    Grok 4.5 is really good at React. It's also very affordable and token efficient!

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