What's this about?
Garry Tan wants smaller US open-weight labs to learn from frontier-model outputs with permission, countering Anthropic's push against covert extraction using false identities or stolen credentials.
What exactly is model distillation?
A smaller “student” model learns from examples produced by a stronger “teacher.” It resembles an apprentice studying thousands of worked answers, though contractual permission and automated extraction are disputed.
What's the community saying?
HN 365 points, 200 comments
- Supporters say labs trained on the public commons cannot fairly block others from learning from their outputs.
- Critics ask who will fund expensive frontier research if competitors can immediately copy much of its value.
- Others separate legitimate paid teaching from identity fraud, stolen credentials and undisclosed black-box biases.