Anthropic publishes its position on open-weights AI models
Source
Anthropic
Author
Anthropic
Date
Terms in this piece · Glossary
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.
Why it matters
The policy direction affects which frontier models practitioners can download, customize, and deploy, and which safety obligations may attach to future releases.
Key quotes
“Anyone who has read my past writing should know that I don’t regard such bans as a useful measure, but let me state it clearly so that there is no doubt: Anthropic has never advocated for a ban on open-weights models.”
Dario Amodei
“Open-weights models that don’t have dangerous capabilities are a public good: they don’t cost anything besides the compute needed to run them, and they provide value to businesses, developers, and researchers.”
Dario Amodei
“But banning the use of these models by US businesses does nothing to address this risk, because bad actors are unlikely to be legitimate US businesses.”
Dario Amodei
“It would protect US AI companies from competition, but that has never been my goal.”
Dario Amodei
“In fact, the most dangerous model may be one that is trained in secret and handed only to the People’s Liberation Army for use in drones and the Ministry of State Security for surveillance and repression.”
