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Distillation alone doesn't explain K3's strong performance since the model seemed very token-hungry, and China's willingness to open-source such capable models despite the risks is likely a calculated move to drive adoption, since few would pay for a sub-frontier Chinese model anyway.

OpenAI's Dean Ball argues K3's performance can't be explained by distillation alone, and speculates China open-sources capable models like K3 as a calculated adoption strategy, since a closed sub-frontier Chinese model wouldn't attract paying users. ✦ AI generated

Dean Ball · Big Technology · 2026-07-20 · original ↗

Model distillation on its own isn't enough to explain K3's high performance, said Dean Ball, Head of Strategic Futures at OpenAI, who noted the model "seemed very token hungry." He also wondered why China still allows good models to be open-sourced given the potential risks, adding that companies likely see it as a way to drive adoption despite being behind: "and they know that very few people would pay for sub-frontier models from China."

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