
Y Combinator’s Garry Tan wants U.S. open-weight AI labs to ‘distill’ frontier models, too
When it comes to Chinese AI labs using distillation techniques to extract knowledge from frontier model makers, Y Combinator CEO Garry Tan is hoping regulators stay out of it. “I would do nothing,” he told CNBC in an interview earlier this week. “We could argue that there should be an American distillation regime.” He elaborated to TechCrunch that this means he wants smaller, American open-weight AI labs to use the same kind of training techniques on American frontier AI labs, giving the U.S. a more robust set of open-weight options that aren’t Chinese.
- ▪When it comes to Chinese AI labs using distillation techniques to extract knowledge from frontier model makers, Y Combinator CEO Garry Tan is hoping regulators stay out of it.
- ▪“I would do nothing,” he told CNBC in an interview earlier this week.
- ▪“We could argue that there should be an American distillation regime.” He elaborated to TechCrunch that this means he wants smaller, American open-weight AI labs to use the same kind of training techniques on American frontier AI labs, givi
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| Publication time | Fri, 11 Sep 2026 20:59:47 +0000 |
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Opening excerpt (first ~120 words) tap to expand
When it comes to Chinese AI labs using distillation techniques to extract knowledge from frontier model makers, Y Combinator CEO Garry Tan is hoping regulators stay out of it. In fact, he thinks U.S. AI labs should perhaps play the same game. “I would do nothing,” he told CNBC in an interview earlier this week. “We could argue that there should be an American distillation regime.” He elaborated to TechCrunch that this means he wants smaller, American open-weight AI labs to use the same kind of training techniques on American frontier AI labs, giving the U.S. a more robust set of open-weight options that aren’t Chinese. Distillation is when a model maker extensively prompts another model in order to learn how it works and reasons.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.