Hernán Anlló
anllohernan.bsky.social
Hernán Anlló
@anllohernan.bsky.social
Cognitive Scientist (LNC2, ENS-PSL). I study how lessons, suggestions, instructions, advice and other forms of linguistic exchange shape perception, preferences and behaviors. I also keep an eye on LLMs.
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...
OSF
doi.org
October 11, 2025 at 5:32 AM
Very happy to be a part of this! More coming soon!
Very happy to see our paper (@nicolasyax.bsky.social and @anllohernan.bsky.social) in this list. We made the risky choice to invent new tests, validate in humans, run control experiments, etc, at the risk of not being 'fast enough', but apparently it paid off 🙂

doi.org/10.1038/s44271-024-00091-8
March 12, 2025 at 9:35 AM
I have the immense pleasure of of announcing that @psl-univ.bsky.social and @cognitionens.bsky.social have granted me an HDR diploma (i.e. the highest qualification in French academia). This wouldn't have been possible without @stepalminteri.bsky.social and the INCREDIBLE team at HRL/LNC2. Thank you
February 5, 2025 at 9:39 AM
Oh heck yes! Wonder if I'll finally be able to drop Matlab for the remaining capricious RL models I have and go full R once and for all...
🧵 (1/?) Posting technical Qs to distract me from :

thinking about optimizers/MCMC for ugly surfaces (multimodal/rough/weakly identifiable), e.g. differential evolution github.com/ArdiaD/DEoptim, doi.org//10.18637/js... or dx.doi.org/10.1086/670067 affine-invariant ensemble sampler
GitHub - ArdiaD/DEoptim: Differential evolution in R
Differential evolution in R. Contribute to ArdiaD/DEoptim development by creating an account on GitHub.
github.com
February 1, 2025 at 11:56 PM
Amazing, dare I say mandatory, new resource
I just posted a new notebook:

Causal Inference with the 𝚖𝚊𝚛𝚐𝚒𝚗𝚊𝚕𝚎𝚏𝚏𝚎𝚌𝚝𝚜 📦 for #Rstats. It introduces the idea of G-Computation and tries to demystify the differences between ATE, ATT, and ATU.

This is a first draft and I would looove any feedback!

marginaleffects.com/chapters/gco...
8  Causal inference with G-computation – Model to Meaning
marginaleffects.com
February 1, 2025 at 8:27 PM
Like if they lead nation-wide committees that could end your career forever if they blacklisted you, so they get away with discrimination? Asking for a friend...
February 1, 2025 at 11:11 AM
Most intriguing!!
New paper in #ProcB with @alexmesoudi.com, @jfbonnefon.bsky.social, @rmcelreath.bsky.social and Rob Boyd.

We investigate how social learning shapes the way we explore and show that it can even preserve useless theories! 🧵👇
January 29, 2025 at 10:27 AM
End of an era? I also cited this study :o
Does the culture you grow up in shape the way you see the world? In a new Psych Review paper, @chazfirestone.bsky.social & I tackle this centuries-old question using the Müller-Lyer illusion as a case study. Come think through one of history's mysteries with us🧵(1/13):
January 26, 2025 at 8:35 AM
We're getting there people!!
Yesterday in Nature. A new place for science 👌
January 25, 2025 at 9:39 AM
Fascinating work!
New Google DeepMind safety paper! LLM agents are coming – how do we stop them finding complex plans to hack the reward?

Our method, MONA, prevents many such hacks, *even if* humans are unable to detect them!

Inspired by myopic optimization but better performance – details in🧵
January 24, 2025 at 6:35 AM
Reposted by Hernán Anlló
Epistemic biases in human reinforcement learning: behavioral evidence, computational characterization, normative status and possible applications.

A quite self-centered review, but with a broad introduction and conclusions and very cool figures.

Few main takes will follow

osf.io/preprints/ps...
January 23, 2025 at 3:47 PM
Reposted by Hernán Anlló
Worth also pointing out that there are many "tests so easy no AI system can pass them".

Moravec's paradox remains.

E.g., arxiv.org/abs/2404.12390
January 23, 2025 at 4:54 PM
What a cautionary tale waiting to happen this is!!
You know the "🔹AI Overview" you get on Google Search?

I discovered today that it's repeating as fact something I made up 7 years ago as a joke.

"Kyloren syndrome" is a fictional disease I invented as part of a sting operation to prove that you can publish any nonsense in predatory journals...
January 9, 2025 at 10:14 AM
This!!!!!! A plague in EEG and fMRI
In task based analysis we use multiple repetitions of a trial/block, in fact a lot across "runs". One cannot average those *before* statistical analysis because it completely misestimates variability, mishandles degrees of freedom, does not account for autocorrelation, etc.
December 30, 2024 at 9:00 PM
One of my personal stats heroes E J Wagenmakers has just liked one of my goofy comments. I can't begin to explain my excitement. Now I'm just missing @bbolker.bsky.social, and I can retire in peace.
December 29, 2024 at 7:11 PM
Feeling seen, graphical description
Just let me be a scientist:
The experienced, highly qualified postdoc is a valuable resource.

PDF download
www.embopress.org/doi/epdf/10....
December 21, 2024 at 9:12 AM
Here's the official link to our latest paper!
December 20, 2024 at 9:05 AM
Reposted by Hernán Anlló
New paper!
We previously showed that people are more likely to follow advice than observed behavior.
@anllohernan.bsky.social asks whether this behavior makes sense - are people more likely to give advice when they are knowledgeable?
The answer is yes, but it depends on advice consequences👇
December 19, 2024 at 5:42 PM
Our latest paper with @urihertz.bsky.social , @nicholaraihani.bsky.social and @stepalminteri.bsky.social is a great occasion to post again in here!

Come see how your own experience (and the costs of deciding to act) affect your tendency to give advice to others!

www.nature.com/articles/s44...
Experience and advice consequences shape information sharing strategies - Communications Psychology
In non-competitive settings, learners manifest a preference for broadcasting useful experience-based information to other learners, even when it comes at a social or economic cost.
www.nature.com
December 19, 2024 at 5:01 PM
Did someone say #womeninscience ? Look no further than our Hrl Team, where the reinforcement learning models of tomorrow are being dreamt today
October 10, 2023 at 1:50 PM
Really cool work, can't wait for the final draft!
October 8, 2023 at 9:47 AM
Quick question to the community (
🧠🟦 , 🧠📈, 🧠🤖, 🧠💻, 🧠🫀, 🧠🫁, 🧠🩺):
Why do you think that we put up with Journals and Editors? I don't mean actual PIs who do editorial work. I mean actual journals making tons of tax money in exchange of nothing. Why do you think that we allow Editors to shape science?
October 6, 2023 at 11:19 AM
This is quite convenient!!!
Did you know you can post to these neurofeeds with just emojis:

Neuroskyence: 🧠🟦 or 🧠📈
Compneurosky: 🧠🤖 or 🧠💻
Interoception: 🧠🫀 or 🧠🫁
Neuropsychiatry: 🧠🩺

Save those characters and use an emoji!
October 6, 2023 at 11:10 AM
Well well well, unexpectedly our preprint is ready on the same day I joined here!

t.co/hIDGlPoDZj

Check out our take on compared trans-generational reasoning capabilities in humans and LLMs! We grabbed a ton of data from OpenAi before it became unavailable! Kudos to Nicolas Yax and Stefano!
October 4, 2023 at 6:08 PM
I'm finally here #HiSciSky !

Open to discus and share in all topics related to #cognitivescience, in particular influence and suggestion, #reinforcementlearning #RL, #perception, #decision-making, #R language and #glmer, and all things #LLMs.

Also looking forward to steal your best memes.
October 4, 2023 at 9:38 AM