> What mitigations?

They did try to place limits on their API, and tried to develop classifiers for AI-vs-non-AI text (which was abandoned in 2023, in a world of many models). A lot of their efforts in those days seemed to be to work with Universities to figure out what to do about all of this incoming tech. They weren't the first to develop a language model.

> when they talk about it being “too dangerous”, they’re usually talking about fantasy scenarios of the AI gaining sentience

They didn't talk about "it" (that model) in those terms, as mentioned above. Or the following few from what I can see. They seem pretty specific about each model's risks and publish what they can find in the model card. But yes, they have a fear of where things may be in the future if models keep progressing.

I don't personally think talk of it being "too dangerous" is good marketing if the goal is to get rich. It invites restrictions from governments and others. I don't know anyone that picked a model because it was apparently restricted: most of their funding comes from Companies that are generally risk-averse. Online AI hype seems to mostly come from the demos, not the doomerism.

I do think there's an uncomfortable trade-off involved in all of this, and some of it comes down to whether you think the tech will be developed regardless of your participation. I believe the people in labs like Anthropic are worried yet think they are better off steering it the right direction, so they push on.