Who's Who of AI

Matthew Guzdial

75 trust researcher @matthewguz.bsky.social · 933 followers
AI research
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Researcher with public evidence across AI research.

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past 30d
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past 30d
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21d ago
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Associate professor @ University of Alberta and Canada CIFAR AI Chair @ Alberta Machine Intelligence Institute. Games, machine learning, and creativity | he/him
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↻ Matthew Guzdial reposted
@johnrgallagher.bsky.social

The verified Navier-Stokes proof does not match the one in the paper. "Navier-Stokes lost in translation: Why Lean verification of AI autoformalisation does not guarantee correct natural language proofs" arxiv.org/abs/2610.08144

Navier-Stokes lost in translation: Why Lean verification of AI autoformalisation does not guarantee correct natural language proofs arxiv.org
AI Weekly's analysis →
  • A new preprint argues OpenAI's announced Lean proof of Navier-Stokes blow-up does not correspond to the natural-language proof it was meant to verify.
  • The authors place semantically faithful autoformalisation at SCI = infinity in the Solvability Complexity Index hierarchy, above the Halting problem's SCI = 1.
  • They present several practical examples of AI mistranslations between natural language and Lean producing mismatches between the proofs and their Lean verifications.
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↻ Matthew Guzdial reposted
@jessefelder.com

'A team of Stanford University computer scientists find that SLMs can find the same — or better — answer to the kind of queries that dominate current chat requests almost every time and cut compute and energy costs by between 60 and 80 per cent.' www.ft.com/content/4858...

ft.com View on Bluesky →

I think the crash won’t directly impact prices much, DeepSeek is likely still around even post crash and that’s about as good as you can get. Between that and *most* firms not presently seeing an advantage (Harvard study on 700+ firms fion.ac/jellyfish.pdf) makes me think the …

fion.ac
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View on Bluesky · ♥ 1 ↻ 0 ↩ 1 · 5 from the directory shared this · 21d ago
↻ Matthew Guzdial reposted
@mtrc.bsky.social

New Post: Why I Love AI Next month it'll be twenty years since I went to university, learned to program, and studied AI. I wrote about why I loved it, why I still love it, and why, unfortunately, it no longer exists. www.possibilityspace.org/blog/posts/i...

Possibility Space possibilityspace.org View on Bluesky →
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Recent commentary

#AIIDE26 Day 2 continues into the afternoon, with Marcus Guerra presenting work on applying ML to try to detect review bombing. They found that XGBoost performed best but that the problem was hard, with the best performance only a bit above chance.

View on Bluesky · ♥ 3 ↻ 0 ↩ 3 · 7h ago
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