Given the huge amount of money being spent on AI chips in the US, what prevents US AI labs from doing the same level of software optimization? It could be a solve for some of the capacity constraints.

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vblanco 4 hours ago | parent | next [-]

They have already been doing it for months https://openai.com/index/openai-broadcom-jalapeno-inference-... . OpenAI on their custom chip brought up lightspeed deepseek as experiment by using AI in the exact same way as this zAI blogpost. And the kernel optimization contests/etc have all been havily done through AI based optimization loops for half a year+.

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a012 4 hours ago | parent | prev [-]

> what prevents US AI labs from doing the same level of software optimization?

Because they don’t have to. Most of the time money would buy you newest and/or more hardwares so there’s low/minimal interest to optimize the code or approach.

	▲	alex_duf 41 minutes ago \| parent \| next [-]
		I would be extremely surprised if US labs weren't aggressively trying to optimise their stacks in exactly the same way. Any gain in performance or efficiency directly affects the bottom line as well as research speed.
	▲	Art9681 an hour ago \| parent \| prev [-]
		They are making these optimizations. They publish these reports too if you care to look.