I only know the basics about flow matching/diffusion, but this is really nice! Moore, Escher, Penrose: A Conformal Golden Braid arxiv.org/abs/2610.02210

I'm not sure I agree with @giorgio.gilest.ro's logic that this ends up with technofeudalism. Yes LLM-written papers are flooding journals, but that's because journals are and always were a bad tool for filtering for insight. Our response should be to try something different.

Richard Sever@richardsever.bsky.social · 2w ago

"All corners of academia will soon be flooded with AI-generated research....Maths and CS go first because their entire output is symbol manipulation...Biology comes later not because biologists are cleverer but because the rate-limiting step is physical" giorgio.gilest.ro/the-weimar-o...

I'm burnt out of discussing "AI". I don't care for the press releases from big companies. I hate having to comment immediately. I dislike "hot takes". I'm worried we, as scientists, are losing touch with scientific values. We've become customers, salivating at ads marketed to investors. 1/15

Open Position for an Assistant/Associate Professor in Visual Analytics: careers.tudelft.nl/job/Delft-As.... Apply if you are excited about interactive exploration, analysis, and interpretation of complex data. Please also forward this position to anyone in your network who is interested.

I never wanted to share my slides before the lecture because it ruins my Socratic teaching style 🍵 But.. I found out they are circling in the interwebs, so, I might as well share them myself then 🙂. Then at least they are up to date 😊. jvgemert.github.io/teach.html

Our fifth workshop on Meta-science for Machine Learning is on Sept 22. metascienceforml.github.io Registration info in the link.

A Delfie at the European Conference on Computer Vision #ECCV2026 :)

@eccv.bsky.social #ECCV2026 How can I organize which posters to see where? The app cuts off paper titles (ie: unreadable and unusable). The website's schedule is great, but has no poster IDs next to the titles. Will we get a handy hardcopy program, with titles, times, and ids?

Computer vision people, where are you??? 👀

Evangelos Kazakos@ekazakos.bsky.social · last mo.

Welcome to the ECCV 2026 feed! Post and discuss ECCV 2026 papers, workshops, tutorials, talks, and social events. Use #ECCV2026 to make sure your post appears (other variants work too, e.g. #eccv). Link: bsky.app/profile/ekaz.... Please pin 📌 and share! Thanks! Made by @ekazakos.bsky.social.

Are brains and artificial neural networks converging onto universal representations? There is a seductive idea making the rounds in NeuroAI / machine learning: train systems well enough, and they all converge on the same representation of reality (i.e. a unique world model). We have thoughts™ 1/n

The Umwelt Representation Hypothesis: rethinking Universality

Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer...

cell.com

#ECCV2026 Workshop on Empirical Theory: tracing back the causal relationships in our scientific papers. Untroubling the "troubling trends in machine learning scholarship" empiricaltheory.github.io @eccv.bsky.social

📢 We're hiring: Tenure-Track Professor for Philosophy of Machine Learning for Science @unituebingen.bsky.social! We're looking for an outstanding researcher with a strong profile in #philosophy and strong connections to #ML and #AI. Deadline: 30 Sept 2026; more info: uni-tuebingen.de/en/128980 1/3

@vele.bsky.social @cscv-bot.bsky.social I love your arXiv bot ♥️. But.. reading it is difficult due to the author names coming first, so the most important thing is difficult to find: the paper title 🙂. If it was up to me, I would remove the author list completely 😁.

NeurIPS reviewers not liking understanding-based ML work? Consider submitting to our workshop: empiricaltheory.github.io - R1: Reject. Not state of the art. - R2: Reject. Just small toy datasets. - R3: Reject. After reading the paper it's trivial.

The E.T.👽 workshop submission is finally open! We aim at promoting scientific theory building in deep representation learning 2 tracks: 1p storyline & regular 14p full paper Deadline: Aug 1st 🖥️ empiricaltheory.github.io 📜 openreview.net/group?id=the... Let's do science! @eccv.bsky.social #ECCV

Understand-based research vs BOLD numbers. Submit your work to our ECCV workshop on Empirical Theory: empiricaltheory.github.io @davidpicard.eurosky.social @a-lucic.bsky.social m.loog, h.hung, h.pinson.

The #ECCV2026 workshop page with links is now up! eccv.ecva.net/Conferences/...

Honered to get a selfie with our Netherlands Conference on Computer Vision (NCCV) keynote speaker! The brilliant @vickykalogeiton.bsky.social Two zealots of the Data efficiency church in the Religion of Scaling AI 🙏

This piece brilliantly explains why it's not only unnecessary to take seriously the idea that LLMs are conscious, in some cases it is ethically irresponsible.

Melanie Mitchell@melaniemitchell.bsky.social · 4mo ago

It's always a treat to read Ted Chiang's thoughts on AI. www.theatlantic.com/philosophy/2...

NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions

I'm taking this opportunity to make some advertising for an ECCV Workshop on empirical theory proposed by @jvgemert.bsky.social empiricaltheory.github.io Yes it's related. Think harder. You can connect the dots, I have faith in you 😉

David Picard@davidpicard.eurosky.social · 4mo ago

Just learned someone made a video about an old paper of mine! Pretty cool I must say 🙃 www.youtube.com/watch?v=jdoH...

"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery." Excellent essay! ⬇️ www.science.org/doi/10.1126/...

Progression without progress

Progress in the use of artificial intelligence (AI) to advance scientific discovery has made it increasingly realistic to envision automated “end-to-end science” (ETES) systems: integrated pipelines t...

science.org

Did you know that arXiv has an official merch shop? I didn’t, but I think it’s great. 😅 www.bonfire.com/store/arxiv-...

Support arXiv and open science! | Official Merchandise | Bonfire

an open research sharing platform reinventing scientific communications. Since 1991, scholars have shared their research quickly with their peers before publication on...

bonfire.com

We are hiring! We have exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @gelovennan.bsky.social , in the Safe Causal Inference consortium. Apply now! #PhD #CausalInference #MachineLearning #Statistics careers.tudelft.nl/job/Delft-Ph...

Why is @eccv.bsky.social forcing unnecessary non-EU big tech on workshop organizers? Where should we uphold principles, if not even for top European publication venues?

Progress in academia

We're looking for a new colleague at @amlab.bsky.social: Assistant Professor in AI for Science 🔬🤖 World-class ML research, Amsterdam's thriving AI ecosystem (ELLIS, startups, big tech), and some of the best academic labor conditions in Europe ❤️ Deadline: May 30 👉 werkenbij.uva.nl/en/vacancies...

Vacancy — Assistant Professor in AI for Science (AI4Science)

<p><span>Are you passionate about advancing Machine Learning by integrating insights from the natural sciences? Are you eager to bridge the 3rd (<em><span>computational</span></em>) and 4th (<em><span...

werkenbij.uva.nl

- The bitter lesson: Richard Sutton's view on AI - The butter lesson: more butter makes better food @gracekind.net - The batter lesson: crêpes are better than pancakes - The better lesson: AI can potentially improve teaching - The botter lesson: genAI takes over social media

In this incredibly detailed and gracious review of “The Irrational Decision,” @himself.bsky.social situates the book in the web of intellectual history and the war between the AI enthusiasts and skeptics.

AI has limits, even if many AI people can't see them

On Ben Recht's fantastic new book

open.substack.com