Our position on open-weights models
81–90 of 1001 posts
Re: Our position on open-weights models
#82> We should crack down on industrial-scale distillation operations. Also Anthropic: AI firm Anthropic agrees to pay authors $1.5bn to settle piracy lawsuit https://www.bbc.com/news/articles/c5y4jpg922qo
They pirated my work and now they want government protection from other people doing the same.
Re: Our position on open-weights models
#83If US wants to maintain engineering superiority, we needs to invest in it -- education, research and infrastructure. Bring in top researchers across the globe and not make it harder.
China is building infrastructure for the future generations and investing in growth sectors while the US is cutting of university grants and spending billions on a war without clear path to resolution.
Re: Our position on open-weights models
#84The "Kamar-Taj" rule is, no knowledge is forbidden, only certain practices. If a model gives you detailed instructions on how to kill all humans, the knowledge itself isn't the problem. The problem is the person who acts on it.
Re: Our position on open-weights models
#85[flagged]
> The NSA and the CIA with the same models, on the other hand, would use them exclusively for the good of the common man.
has anyone ever made this absurd argument?the real argument is that CCP will leverage AI against US interests, which is obvious. it's weird how so many people pretend that they are citizens of the world and above it all.
Re: Our position on open-weights models
#86Re: Our position on open-weights models
#87> where sufficiently capable models may be able to quickly weaponize pandemic-level viruses with widely available materials if someone figures out a way to give an LLM full operational control over a virus lab, we've got a whole different set of problems than the ones Dario is describing
Re: Our position on open-weights models
#88(obviously this is a joke)
Re: Our position on open-weights models
#89He says that using the set of questions and answers from one model to train another model (deatilation) is cheaper than training the model without those datasets. But he didn't mention that training any model from a set of texts and books is much cheaper than writing those books in the first place. In other words, it's ok when Anthropic learns from others, but it is not ok when others learn from Anthropic.