Earlier quoted context omitted.
You can disagree with Anthropic leadership, but all the points you mentioned can reconcile very well with them thinking in good faith "advanced AI is too dangerous to be left in all hands" Except the "train on everyone else IP" which can be said of all AI companies.
Problem with Anthropic is that they benefited massively from open source and now are completely against it. It’s hypocrisy at its worst. Why do they get to benefit, but not everyone else?
We are discussing the possibility of severe adverse societal/world/human impacts from AI, why should open vs closed source/weights, copyright violations, anti-competitive moves, corporate hypocrisy, etc be so heavily weighted in the discussion? Hell, multiple things in OP’s list are quite literally moves a good-faith (wrt the topic at hand, genuine vs non-genuine concern) actor in such a position would do: closed weights means bad actors can’t abliterate, regulatory control, getting blacklisted by Hegseth’s DOW because they LIMITED acceptable use cases…
I’m not pro- or anti-Anthropic at all, but it has started to annoy me how biased and shaky reasoning gets about this topic on here, it feels like people arguing to fit their existing opinions into today’s hubbubery rather than measured analysis of said hubbubery, which is why I come here.
Question: consider the scenario where RSI is reached internally and internal tests struggle to align or control/contain the model; what are the differences in observables vs what we’re observing today?