A week ago, we had an open conversation amongst senior academics in leadership roles and their use of LLMs (in both their leadership capacities and individually). Small group, not representative, but it already taught me a great deal about the diversity of perspectives (& their consequences). 1/

🧠🤖 New paper on AI & consciousness We challenge the idea that computational equivalence is the right test for machine consciousness. In cognitive science, consciousness is never “read off” from code, it’s inferred inductively from behavior with @thecharleywu.bsky.social doi.org/10.1093/nc/n... 👇

Publicly wondering if your product might be conscious is good hype @anthropic.com, but poor science. Consciousness attribution should integrate prior expectations with public/shareable facts, not by computational equivalence alone or anecdotes. If that makes us "vulgar behaviorists", we are proud.

🧠🤖 New paper on AI & consciousness We challenge the idea that computational equivalence is the right test for machine consciousness. In cognitive science, consciousness is never “read off” from code, it’s inferred inductively from behavior with @thecharleywu.bsky.social doi.org/10.1093/nc/n... 👇

Across seven incentivized experiments and a large reanalysis, we systematically manipulated the presence and type of post-choice feedback in repeated risky decisions to test whether feedback shapes behavior through learning mechanisms or through anticipatory changes in preferences.

Very happy that @PNASNews agreed to publish our (w/ @romanececchi.bsky.social) response to Prakhar's thought-provoking study! You can find the final version at the link below. See the following tweet for Prakhar's response to our response. Happy to hear your thoughts! www.pnas.org/doi/10.1073/...

Very happy that @PNASNews agreed to publish our (w/ @romanececchi.bsky.social) response to Prakhar's thought-provoking study! You can find the final version at the link below. See the following tweet for Prakhar's response to our response. Happy to hear your thoughts! www.pnas.org/doi/10.1073/...

I had a great time in Cambridge, great people, great science and lovely place. Thanks a lot to @orbenamy.bsky.social @georgiaturner.bsky.social @sjblakemore.bsky.social

lovely walk and chat with a great mentor and friend

🧵 New paper in @NatureComms Feedback-induced attitudinal changes in risk preferences Nasioulas, Potier, Cerrotti, Lebreton & me (2026) Does feedback really improve risky decision-making? Short answer: no! it changes attitudes, not learning. 👇 rdcu.be/e0VcO

I’ve started posting on Medium, sharing pieces that sit between academic writing and a broader audience. Topics will likely include decision science, AI, and the history & philosophy of science. First article is up (link below). medium.com/@stefano.pal...

I’ve started posting on Medium, sharing pieces that sit between academic writing and a broader audience. Topics will likely include decision science, AI, and the history & philosophy of science. First article is up (link below). medium.com/@stefano.pal...

A revised version of our (@bsgarcia.bsky.social +Crystal Qian) paper “A Moral Turing Test to assess how subjective belief and objective source affect detection and agreement with LLM judgments” is now available on PsyArXiv osf.io/preprints/ps...

🌊🎉 Our project has been selected among the Top 10 projects for the Allianz Climate Risk Award 2025 and is now featured in the official Allianz Climate Risk Award Compendium! 🔗 The fragile pact: resilience at the edge of scarcity (p.18) www.allianz.com/content/dam/... It's a thread 🧵

Excited to announce our symposium on how AI and humans shape each other “Humans and Artificial Minds: Mutual Influences” 9 Jan at ENS Paris. Free registration here www.eventbrite.com/e/humans-and...

🚨 New preprint 🚨 We present the decisions-from-experience database (DfE-DB), including data from 168 studies. The data are currently shared with the original authors and made public upon publication. 🔗 Database: github.com/dwulff/dfe-db 🔗 Preprint: www.biorxiv.org/content/10.6...

Here is the link to (freely) sign-up for our symposium! Humans and Artificial Minds: Mutual influences, for better and for worse www.eventbrite.com/e/humans-and...

Excited to announce our symposium on how AI and humans shape each other “Humans and Artificial Minds: Mutual Influences” 9 Jan at ENS Paris. Talks by @smfleming.bsky.social, Valeria Giardino, Silvia Tulli, @thecharleywu.bsky.social, Laurence Devillers & @summerfieldlab.bsky.social . Program ↓

In a recent thought-provoking study, @benjwagner.bsky.social & co claim that behavioural signatures attributed to context-dependent RL “are very well explained by habit-like action repetition”. I obviously disagree and this thread explains what evidence backs my belief (thread 👇) 1/n

Prakhar, in a recent thought-provoking paper and thread, boldly claimed that the learning-rate biases may be mere “statistical ghosts” of decaying learning rates We took up the challenge and put this claim to the test. Here are our findings (w/ @romanececchi.bsky.social). 1/n osf.io/preprints/ps...

Prakhar, in a recent thought-provoking paper and thread, boldly claimed that the learning-rate biases may be mere “statistical ghosts” of decaying learning rates We took up the challenge and put this claim to the test. Here are our findings (w/ @romanececchi.bsky.social). 1/n osf.io/preprints/ps...

In a recent thought-provoking study, @benjwagner.bsky.social & co claim that behavioural signatures attributed to context-dependent RL “are very well explained by habit-like action repetition”. I obviously disagree and this thread explains what evidence backs my belief (thread 👇) 1/n

I’m happy to share a short opinion piece I’ve just finished, where I revisit the famous Skinner vs. Chomsky exchange on how language is learned through the lens of today’s large language models (before getting mad read the rest) 1/n osf.io/preprints/ps...

I’m happy to share a short opinion piece I’ve just finished, where I revisit the famous Skinner vs. Chomsky exchange on how language is learned through the lens of today’s large language models (before getting mad read the rest) 1/n osf.io/preprints/ps...

🚨Friends, we’re happy to share that our book is available for pre-order! 🎉 We aimed to cover all the foundations of the topic in an accessible manner for a large audience. It could help set up a bachelor-level curriculum on the topic. Pre-orders are very key for the fate of books: shorturl.at/Dxbif

Wow — thanks to this amazing community (you! 🥰 ), our book is now #1 among Amazon’s “Hot New Releases” in Medical Cognitive Psychology! 🙏🤩 Pre-order here: shorturl.at/Dxbif

🚨Friends, we’re happy to share that our book is available for pre-order! 🎉 We aimed to cover all the foundations of the topic in an accessible manner for a large audience. It could help set up a bachelor-level curriculum on the topic. Pre-orders are very key for the fate of books: shorturl.at/Dxbif

Our latest preprint where we show (among other things!) that the main effect of complete feedback information is increase risk (not performance) in experience-based show. We also show that the description experience gap is not due to sampling issue osf.io/preprints/ps...

"Adaptive biases in the wild: Advancing our understanding of the nature of biases" The introduction (by Jochen Reb, Natalia Karelaia & Tomás Lejarraga )to the "Mind and Society" special issue on "adaptive biases" I had the pleasure to contribute to link.springer.com/article/10.1...

"Adaptive biases in the wild: Advancing our understanding of the nature of biases" The introduction (by Jochen Reb, Natalia Karelaia & Tomás Lejarraga )to the "Mind and Society" special issue on "adaptive biases" I had the pleasure to contribute to link.springer.com/article/10.1...

Our latest preprint where we show (among other things!) that the main effect of complete feedback information is increase risk (not performance) in experience-based show. We also show that the description experience gap is not due to sampling issue osf.io/preprints/ps...

The winner’s curse — Behavioral economics anomalies, then and now. The presentation of Richard Thaler's (Chicago Booth) latest book, followed by a roundtable discussion, organized by the "An integrated approach of economic decisions" project. www.parisschoolofeconomics.eu/en/events/th...

Also found in the old sci-fi stash recently purchased in Bologna The plot’s crux is an illustration of the alignment problem (an all-powerful AI with wildly misaligned goals). Basically, the paperclip maximiser has gone rogue. (but do not expect great writing and depth of reflection)

🚨 New preprint 🚨 Are reinforcement learning models complete accounts of decisions from experience if they ignore explicit memory? In this new preprint, we show that people indeed form robust explicit memory representations that flexibly guide later decisions. 🔗 Preprint: doi.org/10.1101/2025...

🇪🇺 I am a bit late for this, but is important: R.I.P. Sofia Corradi (1934 – 2025), the beautiful mind behind the ERASMUS project, one of the most successful and beloved EU programme. It has changed the life (and mind) of ~15 million Europeans (including mine). en.wikipedia.org/wiki/Sofia_C...

🇪🇺 I am a bit late for this, but is important: R.I.P. Sofia Corradi (1934 – 2025), the beautiful mind behind the ERASMUS project, one of the most successful and beloved EU programme. It has changed the life (and mind) of ~15 million Europeans (including mine). en.wikipedia.org/wiki/Sofia_C...

Just read this old-school sci-fi gem I found in a vintage bookstore in Bologna, where a Practical Philosopher Corps is deployed across the galaxy to assess sentience and cognition in alien species. I guess the dream job for @birchlse.bsky.social @petergs.bsky.social

At a time when prominent thinkers like @anilseth.bsky.social Seth and Ned Block advocate a "strategic withdrawal" toward biologism in considering consciousness beyond the human case, our contrarian proposal is a methodological behaviourist computationalism. www.linkedin.com/posts/stefan...

🚨 New publication: How to improve conceptual clarity in psychological science? Thrilled to see this article with @ruimata.bsky.social out. We discuss how LLMs can be leveraged to map, clarify, and generate psychological measures and constructs. Open access article: doi.org/10.1177/0963...

Very thought-provoking post by @prakhargodara.bsky.social. Is confirmation bias/positivity bias a statistical "ghost" of model specification? Specifically not including temporally decaying learning rates? The evidence suggests this is not the case and here is why (1/n)

Very thought-provoking post by @prakhargodara.bsky.social. Is confirmation bias/positivity bias a statistical "ghost" of model specification? Specifically not including temporally decaying learning rates? The evidence suggests this is not the case and here is why (1/n)

The associated online tool, however definitely nerdy, is addictive. Many kudos to @dirkwulff.bsky.social and co for setting this up and opening it to the community!

It was a real pleasure to be involved in the meta-scientific collaboration about the (historical, semantic and to some extent sociological) structure of the behavioral reinforcement learning field. Check @annaithoma.bsky.social thread below for more info!

If you want to know more about the reinforcement learning biases framework, I summarised it here: www.researchgate.net/publication/...

Very cool study showing that "apparent" asymmetric update in reinforcement learning can emerge from Bayes optimal principles by Prakhar Godara in @pnas.org www.pnas.org/doi/abs/10.1...

Very cool study showing that "apparent" asymmetric update in reinforcement learning can emerge from Bayes optimal principles by Prakhar Godara in @pnas.org www.pnas.org/doi/abs/10.1...

Thought experiments such as the Blockhead and Super-Super Spartans are often taken as “definitive” arguments against behavior-based inference of cognitive processes. In our review -with @thecharleywu.bsky.social- we argue they may not be as definitive as originally thought.

I haven't given any news a while, I've been nose deep into this novel preprint with my excellent collaborators @stepalminteri.bsky.social, @urihertz.bsky.social and Bahador Bahrami: "Uncovering the semantics of teaching in experiential learning with Large Language Models". doi.org/10.31234/osf...

Thought experiments such as the Blockhead and Super-Super Spartans are often taken as “definitive” arguments against behavior-based inference of cognitive processes. In our review -with @thecharleywu.bsky.social- we argue they may not be as definitive as originally thought.

New (revised) preprint with @thecharleywu.bsky.social We rethink how to assess machine consciousness: not by code or circuitry, but by behavioral inference—as in cognitive science. Extraordinary claims still need extraordinary evidence. 👉 osf.io/preprints/ps... #AI #Consciousness #LLM