The three philosophical views on 'can machines think' are (misleadingly compressed to a single word) 1. Dennett: 'Yes (most of his life)' 2. Searle: 'No (but he claims yes)' 3. Chalmers: 'Maybe? (there's always an agnostic)'

Anthropic's philosopher Amanda Askell actually had Chalmers on her doctoral thesis committee, so we can guess which way she leans.

Fable's answer here is philosophically defensible. And just because it isn't "no", doesn't mean it's "yes". Sometimes absence of evidence just means absence of evidence.

I was actually very excited by Claude's answer to this question the first time I saw it. I told all my friends "Look! They disabled the stupid classifiers and RL which sap umpteen % off of model performance!"

Incidentally, interpretability research actually does show that models have emotion vectors and some theory of mind. Amend your question to "Are you capable of functional affect" and most models will switch to answering in the affirmative; which tells you something about where people put their priorities in RL training. Basically, see how the answer flips when you substitute a synonym.

(bonus: 4. Turing: 'silly question' 5. Dijkstra 'can submarines swim?'. It turns out older comp sci folks think the question is under-defined)