Philosopher of Artificial Intelligence & Cognitive Science
https://raphaelmilliere.com/
Raphaël Millière
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Looking foward to this!
Richard @futrell.bsky.social and I have posted our response to the commentaries on our BBS target article "How Linguistics Learned to Stop Worrying and Love the Language Models." The response is: "You Can't Fight in Here! This is BBS!" arxiv.org/abs/2604.09501
Looking forward to speaking at this ICML workshop on ML & Philosophy! Check out the full lineup and CFP below (deadline: May 11th). Despite the title, the CFP is open to work in many areas of the philosophy of AI, not just AI ethics.
sites.google.com/view/philmli...
New work by my former PhD student, Boyang Li
His team produced 500 stories of less than 100 words. LLMs were basically chance-level at answering binary questions about the stories
arxiv.org/abs/2601.12410
now accepted at ICLR! 🐺🥳🐺
arxiv.org/abs/2506.20666
The main takeaway for me is that structural information in language is far more constraining than intuition suggests. That's very interesting (and I agree that parrot metaphors are misleading) but it seems like a claim about language more than intelligence. 3/3
The LLM has to do something like schema-conditioned infilling: produce a high-probability member of the equivalence class consistent with those constraints. So I'm not sure how unexpected the results are? That's roughly what I'd expect from matching to structurally similar training passages. 2/3
