Mike Guerzhoy

@guerzhoy.bsky.social

{Teaching, Doing} x {Programming, Data Science, ML, NLP} at U. of Toronto Engineering Science. Previously: Lecturer @ Princeton U, Scientist @ St. Michael's Hospital, Researcher/Engineer @ Inria Grenoble, Developer @ Seiko Epson Personal account.

A thread about proofs described as "AI is intractable / AGI can't work". That 2024 paper and similar ones are worst-case analyses. That is, there are distributions that no machine learning technique can learn effectively. Yes, computers cannot learn everything. But what does that show?

Mike Guerzhoy@guerzhoy.bsky.social · 4mo ago

To appear in Computational Brain & Behavior soon: the claimed 2024 proof (also in CBB) that AGI via learning is intractable also "proves" that ImageNet is intractable. My reading of the hole: equivocation on the variable D. Preprint here: arxiv.org/abs/2411.06498

Back from the dentist! (1) Insurance auto-approves. Bro do you even logistic regression? (2) How does he know what instrument to use? Serious world-modelling there (3) I waived the x-ray explanation; can't check (4) Some anaesthetic, more only if patient asks: that one I get

Some personal news: I solved the Wordle in 3 guesses before my Friday afternoon ESC180 class. While you're here, the final version of our Findings of the Association for Computational Linguistics: IJCNLP-AACL 2025 paper on biases in human Wordle gameplay is out

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Low Cost Airline (FLAIR) captain at the door, pointing at my NeurIPS/etc posters: what are those, your plans to take over the world? Me: Yes and the amazing thing is you didn't charge for those as extra carry-on (OK fine I was two minutes late with this and didn't come back up to the plane)

This Sunday, I went down to Chestnut Residence to play Ping Pong against some 17 @uoft.bsky.social EngSci students who challenged me to a game! For every point difference against me in a game I lost I donated $1 to the Toronto Humane Society (rounded up a bit to $42 + credit card fees).

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I miss the times when I could just post to Facebook and get engagement. New socials suck: LinkedIn: Easy engagement, but tacky Instagram: Easy engagement, but don't understand it Bsky: People too nice Twitter: People too mean Openreview/EasyChair: People *way* too mean