A highly competitive environnement where ressources are spent in evaluation comittees so only the best can survive.

Dan Levenstein@dlevenstein.bsky.social · 2mo ago

What drives scientific discovery? Wrong answers only.

Ça se passe en direct sous nos yeux. Nous ne pourrons pas dire que nous ne savions pas. www.mediapart.fr/journal/inte... Pour celles et ceux qui souhaitent en apprendre davantage (ATTENTION, coeurs sensibles s'abstenir) : www.btselem.org/publications...; www.ohchr.org/sites/defaul...

📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268

Quelques échanges récents ici m’ont donné envie de proposer un panorama de la philosophie des sciences contemporaine. Non pour défendre une corporation, mais pour corriger une image assez datée de la discipline. Je resterai volontairement assez schématique pour ne pas alourdir un thread long. 1/n

A popular account of the so-called deep learning revolution is that all natural understanding of the problem can be abdicated; we just throw all the data in the NN and gradient descent goes brr, but that’s not right. We have to have the right structural prior and a NN architecture to express it.

Wanna do neuroscience in Paris but can't find interesting lab? Want to come do a sabbatical but don't know who to collaborate? Check this webpage aggregating ~all the neuroscience labs (+200) in Paris. ⚠️only the information of 'verified' profiles is reliable⚠️ Please retweet 🙏 parisneuro.fr

Hey, I wrote a thing about AI in astrophysics ergosphere.blog/posts/the-ma...

First repost is a bot give me a break

Sami Beaumont@samibeaumont.bsky.social · 4mo ago

Random thoughts about llms in academia. I think the most risky misconception in this space is not the appeal (or fear) of artificial general intelligence, but rather of "pure" intelligence, i.e. llms are somehow "clean", efficient, verbose, they look like a way to improve practice

Random thoughts about llms in academia. I think the most risky misconception in this space is not the appeal (or fear) of artificial general intelligence, but rather of "pure" intelligence, i.e. llms are somehow "clean", efficient, verbose, they look like a way to improve practice

Unsurprisingly we don't read similar opinion pieces about "the right" while the US gouvernement unplugs vaccines research.

Albert Pinto@70sbachchan.bsky.social · 6mo ago

is there a technology that "the left" is excited about? www.transformernews.ai/p/the-left-i...

This is a critical point. One could say that inferring what questions are relevant in a clinical examination is just another instance of pattern detection. I believe it misses the core of what clinical skills actually are. In psychiatry the teaching of JP Falret (1874) is still highly relevant

Courtney Milan@courtneymilan.com · 6mo ago

I think I said this a while ago while arguing with people who said that bots can do law / medicine. The difficulty in practice is not simply knowing the symptoms of a clinical presentation. It is understanding that you have to ask people questions to make sure you understand what is happening.

Ça se passe en direct sous nos yeux. Nous ne pourrons pas dire que nous ne savions pas. www.972mag.com/gaza-foreign...

Postdoc position in Paris: come help develop new generation human brain computer interfaces ⚡🧠💻 Interested? Contact me if you have experience with machine learning (e.g. simulation-based inference, RL, generative/diffusion models) or dynamical systems. See below for + details and retweet 🙏

🚨 !!! New preprint !!! 🚨 MULTIMODHAL (phase 3, multicenter double-blind RCT): fMRI “symptom-capture”–guided neuronavigation significantly improves 1-Hz rTMS outcomes for drug-resistant auditory verbal hallucinations vs standard T3P3 targeting. 🧠🟦 #rTMS #Psychiatry #Schizophrenia #fMRI

It's either (1) safeguarding llms is not possible and we should a) ask if they are necessary everywhere b) regulate them ; or (2) safeguarding is possible (as llms are marketed) and companies should be accountable for not implementing it correctly. They can't have it both ways.

Pour bloquer Sci Hub il y a du monde pour bloquer X en revanche..

While some weird guys decided to out themselves as @irisvanrooij.bsky.social haters (whatever it means), i think it's time to out myself as a longtime fan of her (and colleagues') work. A short thread of my favorites:

"Runctitiononal features"? "Medical fymblal"? "1 Tol Line storee"? This gets worse the longer you look at it. But it's got to be good, because it was published in Nature Scientific Reports last week: www.nature.com/articles/s41... h/t @asa.tsbalans.se

When I bring up the fact that most replications are uninformative and unjustifiable by design, hence we should instead do better research, I always get the same argument back and I'd like to think through this reasoning carefully. It goes like this:

Seeing lots of reactions to this compelling paper - showing VTA dopamine is linked to cue and outcome induced behavioral reactions: www.nature.com/articles/s41... I have some thoughts…

Dopamine dynamics during stimulus-reward learning in mice can be explained by performance rather than learning - Nature Communications

VTA dopamine activity control movement-related performance, not reward prediction errors. Here, authors show that behavioral changes during Pavlovian learning explain DA activity regardless of reward ...

nature.com

Really interesting work by Bakhurin and colleagues challenging the reward prediction error hypothesis of dopamine: www.nature.com/articles/s41... I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).

Front page of Scottish newspaper The National today.

I deeply agree with the sentiment of this paper. Although, as a norm, I dislike mixing up "activism" and research, there are occasions in which it is justified. Universities and society are blindly and impositively adopting corporative tools that severely jeopardise our capabilities of reasoning >>

Olivia Guest · Ολίβια Γκεστ@olivia.science · 11mo ago

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia: doi.org/10.5281/zeno... We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical thinking, expertise, academic freedom, & scientific integrity. 1/n

🚨BREAKING: The last journalists working for AFP in Gaza have said they can no longer work for the news agency. They are out of energy and they are starving to death. I have never seen a statement from a news organisation like it. 🧵

The only reason to refer to technology as “AI” is to confuse people. Change my mind.

A powerful essay by @omerbartov.bsky.social that concludes, with care and precision, that Israel is committing genocide against the Palestinian people. Others have reached this conclusion too. Bartov's piece explores some deep and important questions. www.nytimes.com/2025/07/15/o...

Opinion | I’m a Genocide Scholar. I Know It When I See It.

nytimes.com

Our work, out at Cell, shows that the brain’s dopamine signals teach each individual a unique learning trajectory. Collaborative experiment-theory effort, led by Sam Liebana in the lab. The first experiment my lab started just shy of 6y ago & v excited to see it out: www.cell.com/cell/fulltex...

📢 I'm very excited to release AgarCL, a new evaluation platform for research in continual reinforcement learning‼️ Repo: github.com/machado-rese... Website: agarcl.github.io Preprint: arxiv.org/abs/2505.18347 Details below 👇

New in Nature MentalHealth! with Vrizzi, Najar, Lemogne, and @mael-lebreton.bsky.social We tested whether behavioural and RL-based model parameters are test-retest reliable and predict mental health traits. The result? Not really. A cautionary tale for comp. psychiatry doi.org/10.1038/s442...

Behavioral, computational and self-reported measures of reward and punishment sensitivity as predictors of mental health characteristics - Nature Mental Health

Reinforcement learning task-based behavioral and computational measures displayed low test–retest reliability at the individual level. Also in contrast to self-assessed personality measures, behaviora...

doi.org