“‘One of the biggest news is GPT 5.6 wrote more efficient kernels. So Terra and Luna could be 80% cheaper.’”
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Said on Latent Space: The AI Engineer Podcast
Latent Space: The AI Engineer Podcast · Academia is for Ambition - Alex Zhang, MIT
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used AI-generated kernel code combined with human prompting and verification to produce stable top-10 GPU kernels
“‘One of the biggest news is GPT 5.6 wrote more efficient kernels. So Terra and Luna could be 80% cheaper.’”
“Human in the loop combination where you can combine human experience, customer orientation and empathy with the AI efficiency”
“…prompt the unit tests to see and push the limits… then I went to Claude Code… built Claude Code skills that for me are rinse and repeat off of the unit test prompts…”
“To use the GPU power more efficiently, you can aggregate the API code from different users to fill in the computes.”
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