AI model capabilities have not slowed down so far, and their progress probably won't stop anytime soon.

Drawn from what Armin Ronacher said

What this subject means

scaling laws Whether more compute keeps buying more capability, and where the curve now bends -- pre-training, post-training, test-time.

What Armin Ronacher actually said

Do you hold this korrent?Do you also believe this?

Cannot both be true

The LLM line of research will reach a capability plateau.

Chollet says the LLM line of research reaches a capability plateau; Ronacher says model capability progress is not going to slow down soon. A plateau and a continuing climb are the same curve described two incompatible ways.
In tension with

Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared.

Hansson holds the possibility of a plateau open while conceding no evidence of one has appeared; Ronacher rules it out for the near term. The disagreement is about how much weight an absence of evidence should carry, which is a different argument from the one about the models.

Shared subject first, then similar wording. They may agree or disagree.