This sounds like cope.
Possibly they fine tuned DeepSeek on an OpenAI model (cheaper than using humans), but it makes no sense to primarily do this when self-supervised learning and RL is much more efficient. Also, DeepSeek performs better than OpenAI on several benchmarks - you can't achieve this purely by distilling a teacher model.
Likely they made a technical breakthrough and USA "AI tzar" is seething.
gunson / Gunson
npub1pn…t2xn0
2025-01-29 09:50:37
in reply to nevent1q…jlju
Author Public Key
npub1pn9xyqt934wesguuz5g77sp9vtlh6ujyd7eqr2x3s47rncmfe8aqxt2xn0Published at
2025-01-29 09:50:37Event JSON
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"content": "This sounds like cope.\n\nPossibly they fine tuned DeepSeek on an OpenAI model (cheaper than using humans), but it makes no sense to primarily do this when self-supervised learning and RL is much more efficient. Also, DeepSeek performs better than OpenAI on several benchmarks - you can't achieve this purely by distilling a teacher model.\n\nLikely they made a technical breakthrough and USA \"AI tzar\" is seething.",
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