Eiso Kant
@eisokant
Co-CEO @poolsideai // President @ PIC // Board @axon_enterprise
“The best way to predict the future is to invent it.” - Alan Kay
加入 September 2007
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Leaving image generation to diffusion but reasoning to an LLM is 🤩
Now take a step further and think about it in the context of robotics with spatial-action models.
Work combining modalities is still in the early days.
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8/ With that, we reframed multimodal generation as structured text/code generation. Diffusion just renders pixels. Planning, logic, reasoning all live in the LLM — so training looks like normal LLM training, and inherits all benefits of it: data + model scaling, reasoning, RL, tool use.
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