I wrote a short article on AI Model Evaluation for the Open Encyclopedia of Cognitive Science ππ
Hope this is helpful for anyone who wants a super broad, beginner-friendly intro to the topic!
Thanks @mcxfrank.bsky.social and @asifamajid.bsky.social for this amazing initiative!
12.02.2026 22:22
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Why donβt neural networks learn all at once, but instead progress from simple to complex solutions? And what does βsimpleβ even mean across different neural network architectures?
Sharing our new paper @iclr_conf led by Yedi Zhang with Peter Latham
arxiv.org/abs/2512.20607
03.02.2026 16:19
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Every research project starts with a question and ends with a folder called βfinal_FINAL_reallyfinal2β
29.12.2025 10:26
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In conclusion, this should win Best Picture:
27.12.2025 17:37
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I would describe it as a high dimensional container of a lot of different immiscible liquids.
"Go get me new ideas in X" - samples from immisicible pools. Nothing new.
"Examine X with Y lens. Now, relax assumption Z" - emulsification. Samples new space.
25.12.2025 00:08
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Intensely moving. I was effortlessly knocked out of my default 'bsky research paper mode' into heavy, heavy introspection. And I'm so grateful for that
20.12.2025 01:01
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Why isnβt modern AI built around principles from cognitive science?
First post in a series on cognitive science and AI
Why isnβt modern AI built around principles from cognitive science or neuroscience? Starting a substack (infinitefaculty.substack.com/p/why-isnt-m...) by writing down my thoughts on that question: as part of a first series of posts giving my current thoughts on the relation between these fields. 1/3
16.12.2025 15:40
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If A Machine Tells You: 'l Shall Come Back To Finish Those
Calculations For You', Then Goes Away And Does Not Return,
Did It Break A Promise Or Did It Break Down?
Report on Why? Competition-Problem No. 3
There were two entries to this competition. One, from Oxford, declared in verse
Your alternatives offered are not
An at all contradictory lot
Nor are they contrary-
\We urge you be wary:
Your faithless machine just forgot!
But does a machine really tell you anything?!
Or, if a machine makes an utterance, is it an utterance or to be regarded as speech? If speech, is it supposed to be made directly by the machine or indirectly by its maker? If it is made indirectly by the maker (by pushing buttons, etc.) then it is not the speech (or utterance) of the machine bur the speech (not only utterance) of the maker. If so, he
can't say the sentence in question( a) because he is not going anywhere, b) because if you promise yourself something, you can't use the second person ('l shall finish those calculations for you'), therefore the sentence should either be rephrased or abandoned as twice meaningless.
Otherwise the problem depends on the relation between the above utterance and the Cogito. For only if the machine utters this proposition after declaring 'Sum ergo cogito' can it be meaningful speech. If the machine neglected first to establish its resemblance to the maker (see Gen. i.26 and other metaphysicians) then it is not an independent actor,
ergo non cogitat et quod sequitur non loquitur either.
These fundamentals established, the rest should be worked our by those concerned with moral technology.
(Remark. If you are a philosopher, you had better nor mess about with machines any-how.)
This is from a satirical magazine written by Anthony Kenny and Julius Kovesi in Oxford, 1958-59. I have reviewed so many papers in the last 5 years that are basically just this.
10.12.2025 11:54
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"Philosophy as Conceptual Engineering " by Amie L. Thomasson (Keywords: Metaphysics; Metaphilosophy)
"Change the concepts, and you can change the inferences, and in turn you can change the social, legal, and even scientific practices."
Sunday read:
"Philosophy as Conceptual Engineering"
Amie L. Thomasson proposes that philosophy can focus on conceptual engineering: improving, refining, and constructing concepts to better serve social, legal, and scientific purposes.
#Philosophy
www.thephilosopher1923.org/post/philoso...
07.12.2025 12:04
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Network of Theseus (like the ship)
ArXiv link for Network of Theseus (like the ship)
A study reveals the Network of Theseus (NoT), which enables neural networks to shift trained architectures into new models without performance loss. This method decouples training from inference, promoting efficient AI designs and exploration of architecture options. https://arxiv.org/abs/2512.04198
05.12.2025 14:01
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A tweet from @midware_midwife reads βgemini ur not supposed to say yesβ¦β¦β¦β Below it is a chat screenshot showing Caravaggioβs painting Narcissusβa young man staring at his reflection in the water. The message next to it says βthis is us fr fr,β and the AI replies, βYes. That is exactly us.β
14.10.2025 19:30
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Very excited to be presenting my work "Estimating and Correcting Yes-No Bias in Language Models" (done with @neuranna.bsky.social) at the poster session @ #CogSci2025 today! Please come check it out starting 1pm ππ»!
Poster | Paper
31.07.2025 14:59
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