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Pierre Beckmann

@pierrebeckmann.bsky.social
13 followers 40 following 16 posts

DL researcher who turned to philosphy. Epistemology of AI.

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Pierre Beckmann @pierrebeckmann.bsky.social · 17/04/2026
"Mechanistic indicators of Understanding in LLMs" is finally out in Philosophical studies! link.springer.com/article/10.1...
link.springer.com
Mechanistic indicators of understanding in large language models - Philosophical Studies
Philosophical Studies - Large language models are often portrayed as merely imitating linguistic patterns without genuine understanding. We argue that recent findings in mechanistic...
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Pierre Beckmann @pierrebeckmann.bsky.social · 23/02/2026
A couple years back, DL models were often described as feature combinators. Turns out that they can also recall features. This explains for example how LLMs can retrieve the bibliography of someone. Check out my Phil of AI preprint: philpapers.org/rec/BECDLM-2
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Reposted by Pierre Beckmann
Rahul @trsam97.bsky.social · 10/01/2026
A discussion on the philosophy of deep learning, mechanistic interpretability and the epistemology of LLMs. @pierrebeckmann.bsky.social @matthieu-queloz.bsky.social youtu.be/1_0ttM8zp9o?...
youtu.be
Mechanistic Interpretability and How LLMs Understand
YouTube video by Rahul Sam
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Reposted by Pierre Beckmann
Jeff Yoshimi @jyoshimi.bsky.social · 12/01/2026
One of the best discussions of AI I've seen in a while, because it's deeply informed by philosophy AND computer science. LLM’s are more than just “stochastic parrots”, but their understanding is still nonhuman. The discussion of concepts, understanding, and world models is especially informative.
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Pierre Beckmann @pierrebeckmann.bsky.social · 28/11/2025
Does SORA "understand" the world? For example, does it understand the movement of the ship in the coffee cup below? In my latest Synthese article I tackle this question!
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Reposted by Pierre Beckmann
Jeff Yoshimi @jyoshimi.bsky.social · 21/10/2025
We’ve recently updated our collaborative open-access book, “Neural Networks in Cognitive Science”, adding a few new authors, chapters, and lots of content. downloads.jeffyoshimi.net/NeuralNetwor...
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Pierre Beckmann @pierrebeckmann.bsky.social · 15/07/2025
New preprint: “Mechanistic Indicators of Understanding in LLMs” with @matthieu-queloz.bsky.social Building on mechanistic interpretability, we argue that LLMs exhibit signs of understanding—across three tiers: conceptual –, state-of-the-world –, and principled understanding. 🧵(1/9)
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