"""Release strategy
Due to concerns about large language models being used to generate deceptive, biased, or abusive language at scale, we are only releasing a much smaller version of GPT-2 along with sampling code .
…
This decision, as well as our discussion of it, is an experiment: while we are not sure that it is the right decision today … """ - https://openai.com/index/better-language-models/
It was the news reporting that it was "too dangerous".
If anyone at OpenAI used that description publicly, it's not anywhere I've been able to find it.
The part saying "experiment: while we are not sure" doesn't strike you as this being "we don't know if this is dangerous or not, so we're playing it safe while we figure this out"?
To me this is them figuring out what "general purpose AI testing" even looks like in the first place.
And there's quite a lot of people who look at public LLMs today and think their ability to "generate deceptive, biased, or abusive language at scale" means they should not have been released, i.e. that those saying it was too dangerous (even if it was the press rather than the researchers looking at how their models were used in practice) were correct, it's not all one-sided arguments from people who want uncensored models and think that the risks are overblown.
And I agree with your basic premise. The dangers imo are significantly more nuanced than most people make them out to be.
This is the psychology of every tech hype cycle
Tale as old as time, they've been doing this since GPT-2 which they said was "too dangerous to release".