Nathaniel Daw

Princeton neuro prof. But Twitter is an absurd platform for professional communication so I strive to use it most unprofessionally.

[Brenden Lake @LakeBrenden]

Princeton is seeking an AI Postdoctoral Research Fellow in Natural and Artificial Minds. An amazing program! Deadline is Feb. 28
https://t.co/AJsLjKfZYq

[Nathaniel Daw @nathanieldaw]

also relevant for grad students meeting with supervisors

[wassname (with fallback) @wassname]

From anthropics built in plugin

Damn

[Nathaniel Daw @nathanieldaw]

@hhawk Self care

[Nathaniel Daw @nathanieldaw]

@tallinzen @StefanFSchubert Vibes

[Nathaniel Daw @nathanieldaw]

I met a guy who claimed JS's whole schtick was an ironic, knowing troll. Wasn't sure whether to believe him til I saw this.

[dinos @din0s_]

wake up babe the freaking pope got schmidhuber'd

[Nathaniel Daw @nathanieldaw]

@tallinzen I think this is a weird argument because they haven't been actually language models since instruction tuning and rlhf. But the parrots people weren't saying in 2022 that chatgpt wasn't a parrot!

[Nathaniel Daw @nathanieldaw]

@MelMitchell1 But that has been true for years, at least since chatgpt. Admittedly a little after the stochastic parrots paper but I don't think they backed off the basic critique with the advent of instruction tuning and rlhf.

[Nathaniel Daw @nathanieldaw]

@AndrewLampinen I think you have a point but I also think you may be lumping the authors together a bit too much. One of them is well worth engaging with!

[Nathaniel Daw @nathanieldaw]

@mayankagrawal @ylecun You should have a second route via me but the database is missing @yboureau 's many one-step connections...

[Nathaniel Daw @nathanieldaw]

@cogscikid What is next for you??

[Nathaniel Daw @nathanieldaw]

life is full of haters but at least gemini thinks my plan to make my quiche vegetarian by replacing bacon with MSG + liquid smoke is "incredibly thoughtful."

[Nathaniel Daw @nathanieldaw]

@pfau A few dozen phds, $100 mil, sounds about right!

[Nathaniel Daw @nathanieldaw]

@pfau Who on earth is going to fly all these killer drones and drive the terminator robots if all the pilots are hiding in caves?

[Nathaniel Daw @nathanieldaw]

@pfau The AIs, dummy.

[Nathaniel Daw @nathanieldaw]

Provocative title ftw. (Tho it inspired kris jensen to give a talk titled "planning in the brain: it's not what nathaniel thinks it is")

[Annual Reviews @AnnualReviews]

The 2026 volume of the Annual Review of Neuroscience is now online 🧠 The most read article is "Planning in the Brain: It's Not What You Think It Is" by @marcelomattar and @nathanieldaw
https://t.co/lTmXpK7a2u

[Nathaniel Daw @nathanieldaw]

@mattyglesias I hope R.U.R. was also on the reading list!

[Nathaniel Daw @nathanieldaw]

The OED really needs to weigh in with a classy but withering, understated takedown.

[Merriam-Webster @MerriamWebster]

Why is it ‘cancelled’ in the U.K. but ‘canceled’ in the U.S.?

Because we gave them that L in 1776.

[Akshay K. Jagadish @akjagadish]

1/ 🚨 New preprint: "Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist"

Co-led w/ Younes Strittmatter
Co-mentored by @suyoghc and @cocosci_lab
In collaboration w/ @kachergis, @norijacoby, @nathanieldaw, & @cpilab

Introducing AutoCog — a fully autonomous AI system that runs the entire scientific discovery cycle in cognitive science to surface novel theories of human behavior 🧵

#CognitiveScience #AI4Science #LLMs

[Noémi Éltető @EltetoNoemi]

First paper since joining @GoogleDeepmind! We present 🌍ATLAS (Active Theory Learning for Automated Science), a pipeline that generates interpretable mechanistic models from data and optimizes experiments to test them.

Thread below

[Nathaniel Daw @nathanieldaw]

I have been so excited about this project. In many ways the most surprising thing to me was how seemingly similar the AI-discovered models were to simple ones I thought I understood, even though they fit way better. This means we can also really get what makes them work.

[Kevin Miller @kevinjmiller10]

Computational models are a key part of science but discovering new ones is hard!

DataDIVER discovers concise models from data, surfacing new mechanistic ideas and generating clear predictions for future experiments

Preprint from @GoogleDeepMind Neuroscience Lab + collaborators