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Fabian Fröhlich

@frohlichlab.com
1.1K followers 409 following 135 posts

Dynamics of Living Systems (www.frohlichlab.com) group leader @thecrick.bsky.social Understanding signalling & cell state dynamics through mathematical modelling and machine learning.

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Reposted by Fabian Fröhlich
The Francis Crick Institute @crick.ac.uk · 29/09/2026
Our AI for Biological Discovery online seminar series continues with “Communities of AI agents for scientific discoveries” by James Zou, Stanford University, on 7 October at 15:00 BST. Register now for the webinar: www.eventbrite.co.uk/e/ai-in-biol...
eventbrite.co.uk
AI in Biology Seminar | Professor James Zou
A new AI for Biological Discovery Seminar Series, presented by the Francis Crick Institute.
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Reposted by Fabian Fröhlich
The Francis Crick Institute @crick.ac.uk · 28/09/2026
Applications are open for our new AI/ML clinical fellowships, combining formal MSc-level training in AI and machine learning with PhD or postdoctoral research at the Crick. Find out more about the programme and apply by 11 November: bit.ly/4hxmAgn
crick.ac.uk
AI/ML clinical fellows
Our clinical training pathway integrating AI and machine learning with discovery research.
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Fabian Fröhlich @frohlichlab.com · 28/09/2026
Mechanistic World Models for biology are (almost) here: www.biorxiv.org/content/10.6...
biorxiv.org
GEMOT: Towards Mechanistic World Models for Biology
Scientific discovery seeks mechanisms that explain observations and predict beyond the measurements that produced them. Whereas large language models (LLMs) encode knowledge implicitly, mechanistic wo...
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Reposted by Fabian Fröhlich
Andrew Krause @blindmath.bsky.social · 24/09/2026
"What are we even trying to do here?" Is what I have been asking many people in academia more widely lately. It is long past time for us, across *all* fields, to rethink the faux-meritocracy of numerical metrics (# of papers, citations, etc). We really should decide and reward what we truly value.
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Reposted by Fabian Fröhlich
Chris Tape @christophertape.bsky.social · 24/09/2026
PhD opportunity in our lab at @ucl.ac.uk! 🧬 How do colorectal tumours spatially adapt to treatment? Study cancer cell plasticity using organoids, single-cell, & spatial biology. 4 years | Jan 2027 (flexible) | Stipend + UK home fees ucl.ac.uk/work-at-ucl/... Please share!
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Reposted by Fabian Fröhlich
The Francis Crick Institute @crick.ac.uk · 23/09/2026
Discover the latest issue of The Crick magazine, featuring stories on cancer, antimicrobial resistance, life after a Nobel Prize, liver health, heat and the human body, and more from across the Crick. Read now: www.crick.ac.uk/news-and-features/t…
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Reposted by Fabian Fröhlich
Richard Sever @richardsever.bsky.social · 20/09/2026
"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...
giorgio.gilest.ro
The Weimar of knowledge – la bottega
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Fabian Fröhlich @frohlichlab.com · 14/09/2026
The general attitude of our community towards a technology that can [...] suggests that these operationalizations of our values are at best incomplete.
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Reposted by Fabian Fröhlich
Terence Tao @teorth.bsky.social · 11/09/2026
A group of 25 Fields Medalists, including myself, have made a joint declaration on Math and AI: mathandai.org . We welcome additional signatories. See also this article in the Economist announcing the declaration: www.economist.com/science-and-...
mathandai.org
Declaration — Math and AI
Read the declaration and add your name.
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Reposted by Fabian Fröhlich
Joshua Bull @joshuabull.bsky.social · 10/09/2026
I'm really excited to be heading to the Crick to start the Quantitative Spatial Biology lab! We'll be doing all things #spatialbiology, mathematical modelling, and AI, to get a deep understanding of the biological mechanisms underlying how spatial structures form in health and disease #newPI 🔬🧬🧪🧮
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Ruben Perez-Carrasco @perez-carrasco.bsky.social · 09/09/2026
The new AC-DC paper is out! ⚡ One small gene circuit, more than 30 distinct dynamical behaviours. Showing how small regulatory networks can hide a surprising amount of dynamical complexity. www.cell.com/cell-systems...
cell.com
Let there be multifunctionality: Uncovering the dynamical zoo of the AC-DC genetic circuit
Small gene regulatory circuits can encode a surprising diversity of dynamical behaviors. A biophysical model of the AC-DC motif reveals over thirty distinct bifurcation structures and shows how molecu...
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Reposted by Fabian Fröhlich
James Pirruccello 🌉🇺🇸 @jamespirruccello.com · 06/09/2026
openai.com/index/resear...
openai.com
Research acceleration: The view inside OpenAI
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
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Reposted by Fabian Fröhlich
Nozomu Yachie @nzmyachie.bsky.social · 04/09/2026
Maybe it’s time to say goodbye to UMAP and other low-dimensional embeddings (at least in many single-cell analyses). We developed MILK to encode single-cell populations into tree representations at unprecedented scales. www.biorxiv.org/content/10.6... Here’s what MILK is: 🧵
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Reposted by Fabian Fröhlich
Nature Biotechnology @natbiotech.nature.com · 19/08/2026
A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability www.nature.com/articles/s41...
nature.com
A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability - Nature Biotechnology
A prospective, blinded competition is conducted for artificial-intelligence-generated and optimized antibody discovery.
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Fabian Fröhlich @frohlichlab.com · 27/08/2026
🧬 One cell whispers code 🔗 neural nets meet ODEs 🔬 come decode with us
crick.wd3.myworkdayjobs.com
Postdoctoral Fellow - Frohlich Lab
Salary for this Role: From £47,500, with benefits, subject to skills and experience. Job Title: Postdoctoral Fellow - Frohlich Lab Reports to: Fabian Frohlich Closing Date: 24/Sept/2026 23.59 GMT Job ...
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Reposted by Fabian Fröhlich
Reese Richardson @reeserichardson.bsky.social · 25/08/2026
A massive update: At least ~15 companies~ are selling scientists antibodies using faked validation data. We've documented 18,000+ manipulated images on 17,000+ products sold by leading laboratory suppliers including Thermo Fisher, Abcam, Santa Cruz Biotechnology, Millipore Sigma and Bio-Techne. 1/🧵
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Reposted by Fabian Fröhlich
The Francis Crick Institute @crick.ac.uk · 24/08/2026
Join us for our first online AI for Biological Discovery Seminar, where our Chief AI Scientist Mihaela van der Schaar will host Caroline Uhler to discuss her research at the intersection of machine learning, statistics and genomics. Learn more and book your free ticket: bit.ly/4xAvNLL
bit.ly
AI in Biology Seminar | Professor Caroline Uhler
A new AI for Biological Discovery Seminar Series, presented by the Francis Crick Institute.
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Reposted by Fabian Fröhlich
derek guy @dieworkwear.bsky.social · 13/08/2026
I enjoyed this. ordinaryabundance.com
ordinaryabundance.com
Ordinary Abundance
A walk through a modern apartment, through the eyes of the people for whom everything in it was new.
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Fabian Fröhlich @frohlichlab.com · 13/08/2026
Curriculum learning is good, curriculum multiple shooting is better: new preprint on how to train ODE (including UDE and NODE) models: arxiv.org/abs/2608.05777
arxiv.org
Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations
Neural ordinary differential equations (NODEs) and universal differential equations (UDEs) provide flexible and popular frameworks for learning interpretable dynamical systems from noisy time-series d...
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Reposted by Fabian Fröhlich
Daniel Litt @littmath.bsky.social · 11/08/2026
Yesterday I gave a talk at an OpenAI summit on the future of mathematics. I was asked to talk about the bad future, where humans become mathematically disempowered. Here's a blog post based on the talk: www.daniellitt.com/blog/2026/8/...
daniellitt.com
The End of Mathematics — Daniel Litt
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Reposted by Fabian Fröhlich
David P. Reichert @david-p-reichert.bsky.social · 03/08/2026
Many don't see how much AI has changed recently. Coding agents aren't just chatbots. We can’t deal with the challenges of AI if we don’t understand it. Here's a post to provide some evidence (Claude doing small ML experiments) and form intuitions. davidpreichert.substack.com/p/if-you-hav... 🧵..
davidpreichert.substack.com
If you haven’t recently used Claude Code*, you might not understand where AI is at
A report on a series of mini machine learning projects, executed with, and mostly by, Claude
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Reposted by Fabian Fröhlich
National Trust @nationaltrust.org.uk · 12/08/2026
ANNOUNCEMENT: All our sundials will be out of order this evening between about 6pm and 8pm, we apologise for any inconvenience this may cause. Normal service will resume tomorrow. In unrelated news, enjoy the eclipse later... Photos: Mike Selby, Annapurna Mellor, Chris Davies, John Millar
A wall-mounted sundial inside a walled garden. Text on the sundial reads: "fear god, obey ye king"A traditional sundial on a plinth, formal gardens surround itThe sun beams down on a traditional sundial, with heather visible in the backgroundA shot of a sundial from above. It's mounted on a stone plinth. Text on the side reads "KEW BRIDGE"
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Reposted by Fabian Fröhlich
Ezequiel Galpern @eag91.bsky.social · 05/08/2026
1/ New preprint! with @solersanchisx.bsky.social @cwjpugh.bsky.social @federicobilleci.bsky.social @jonnyfrazer.bsky.social and Mafalda Dias, we introduce a scalable framework to improve stability prediction and separate folding from functional constraints. www.biorxiv.org/content/10.6...
biorxiv.org
Blending physics-based and inverse folding models to disentangle variant effects on stability and function
Protein sequences are constrained not only by the need to fold into stable structures, but also by specific functional requirements imposed by natural selection. Yet predictions of how amino-acid chan...
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Fabian Fröhlich @frohlichlab.com · 05/08/2026
Mechanistic ODE models encode pathway topology but are blind to anything outside the pathway. Representation learning compresses data into low-dimensional embeddings but says nothing about mechanism. Deep Mechanistic Models (DMMs) are our attempt at both in one model www.biorxiv.org/content/10.6...
biorxiv.org
Deep Mechanistic Models reveal pathway-extrinsic drivers of mammary MAPK signalling heterogeneity
Cells sense and respond to their environment through signalling pathways, and the dynamics of these pathways shape cell fate even within genetically identical populations. Two largely separate computa...
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Reposted by Fabian Fröhlich
Will Ratcliff @wcratcliff.bsky.social · 03/08/2026
So, bluesky, where is the discussion of the absolute insane things AI is doing in the realm of mathematics? It seems like we're nearly at the inflection point where the models are as good as human domain experts, and soon may well be better. Is that discourse only happening on twitter?
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Juan Moreno-Cruz @jmorenocruz.bsky.social · 02/08/2026
Using LLMs should allow us to think bigger, harder to grasp, difficult to execute, longer to develop, ideas. That idea that’s been in you brain since forever but you hadn’t had the time because you had to retool and what not. Trust yourself. Go for that shit. Now is the fucking time.
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Robin Wilde @robinwilde.me · 30/07/2026
I actually know the answer to this and it's slightly insane. Google pulls from Wikipedia to determine if a place is a city, town, neighbourhood, whatever. Brighton's first line describes it as a "seaside resort" so Google Maps thinks it's a neighbourhood and doesn't display it in the "city" font.
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Reposted by Fabian Fröhlich
Andrew Krause @blindmath.bsky.social · 28/07/2026
An important piece about how LLMs are exposing the rot in academic institutions, and we should take this seriously. A bit too confident in AI inevitability, but the focus on pre-existing issues is spot-on, from misaligned teaching to the rot of academic publishing. www.chronicle.com/article/the-...
chronicle.com
The University After AI
The postwar bargain at the heart of higher education is coming undone. What replaces it?
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Reposted by Fabian Fröhlich
Molecular Cell @cp-molcell.bsky.social · 23/07/2026
Online Now: Mechanism of MEK1 phosphorylation by the N-terminal acidic motif-mediated asymmetric BRAF dimer Online now:
dlvr.it
Mechanism of MEK1 phosphorylation by the N-terminal acidic motif-mediated asymmetric BRAF dimer
Kondo, Notbohm, et al. show that the BRAF N-terminal acidic motif engages the dimeric interface to drive an asymmetric arrangement in which only one protomer adopts a canonical active kinase conformation. Captured MEK1 Ser222 phosphorylation and mutational analysis corroborate that this motif is required for full BRAF kinase activity.
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Reposted by Fabian Fröhlich
Pedro Beltrao @pedrobeltrao.bsky.social · 23/07/2026
Review/perspective article by Diederik Laman Trip on some of his and our lab's thinking on how we can study human genetics across different levels. In particular around cell-type specific protein interactions, tissue organization and organ morphology. (paywall, shareable link rdcu.be/fvnpz)
rdcu.be
Human genetics across levels of biological organization
Nature Reviews Genetics - Genetic variation influences biological processes across scales; however, deciphering how effects propagate from molecules to whole organisms remains a key challenge in...
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Reposted by Fabian Fröhlich
Pedro Beltrao @pedrobeltrao.bsky.social · 20/07/2026
New lab preprint - Deep learning models are most often difficult to interpret black box models. What if we engineer them with interpretation in mind? Dennis Gankin carefully studied so-called biologically inspired neural networks and found an interesting phenomenon www.biorxiv.org/content/10.6...
biorxiv.org
Leveraging multiplicity in biologically informed neural networks to uncover disease heterogeneity
Biologically inspired neural networks (BINNs) embed pathway, ontology, or protein-interaction structure directly into neural networks, promising interpretable disease prediction where hidden nodes map...
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Richard Sever @richardsever.bsky.social · 17/07/2026
The one thing I'll add (to those conclusions from people far more well informed than I: denial is not a solution (on either side). 4/n End
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Richard Sever @richardsever.bsky.social · 17/07/2026
3) Best insight I've had from an AI expert: "Anyone who confidently asserts they know where this is all headed is wrong. No-one knows what the world will look like in a couple of years" 3/n
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Mohammed Khallaf @khallaf.bsky.social · 15/07/2026
Our new paper is out in @nature.com! We uncovered how a naked mole-rat queen 👑 controls an entire colony: a natural contraceptive scent that suppresses reproduction in other females! A remarkable mammalian parallel to bees and ants! 🐝🐜 @garyrlewin.bsky.social youtu.be/enfv3zJrWKM?...
youtu.be
Naked mole-rats are ruled by a queen: this chemical puts her in power
YouTube video by nature video
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
Can we program a kinase like a switch? Inspired by natural autoinhibitory complexes, we designed miniproteins against active- and inactive-like conformations of Focal Adhesion Kinase. Depending on the targeted state, the resulting binders either activated or inhibited the kinase.
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Julio R. Banga @julio-r-banga.bsky.social · 14/07/2026
Our latest preprint is out. Great collaboration with the group of Jan Hasenauer (University of Bonn). A very comprehensive benchmarking of optimisation methods for parameter estimation in mechanistic models. Preprint in the post below.
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Robert Insall @robinsall.bsky.social · 09/07/2026
Please come and join us! Jobs for machine learning and mathy types!
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Pedro Beltrao @pedrobeltrao.bsky.social · 08/07/2026
The @qedscience.bsky.social "impact" score generated a lot of discussion on ranking preprints, including ideas on multi-dimensional rankings that are user specific. Besides describing the ideas, we can now prototype them (with Claude in this case). Here is Salient salient-sgeu6fs5ua-uc.a.run.app
salient-sgeu6fs5ua-uc.a.run.app
Rising — Salient
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James Briscoe @jamesbriscoe.bsky.social · 02/07/2026
Paying peer reviewers Interview with @danielgorelick.bsky.social about @biologyopen.bsky.social Fast & Fair trial in which peer reviewers were paid £220/review Spoiler: it works - fast, high quality reviews www.nature.com/articles/d41...
nature.com
Why paying peer reviewers works, according to a journal’s editor-in-chief
A biology journal that paid peer reviewers found that the approach cut the time to a first editorial decision by 85% and maintained high-quality reviews.
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Pedro Beltrao @pedrobeltrao.bsky.social · 30/06/2026
Claude Science - an AI workbench for science. This looks like an interesting attempt at making scientific workflows easier and more reproducible. I'm curious to give it a try. www.anthropic.com/news/claude-...
anthropic.com
Claude Science, an AI workbench for scientists
Claude Science is a customizable app that integrates the tools and packages researchers most often use, produces auditable artifacts, and provides flexible access to computing resources.
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Claus Wilke @clauswilke.com · 25/06/2026
People always say "tell a story" but then don't explain how to do so! How is that helping? If we knew how to tell a story we wouldn't need the advice in the first place. 1/
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The Francis Crick Institute @crick.ac.uk · 24/06/2026
Our ambition to combine artificial intelligence with fundamental biology and medicine continues to evolve as we welcome Mihaela van der Schaar as our Chief AI Scientist. Read more: www.crick.ac.uk/news/2026-06...
crick.ac.uk
Mihaela van der Schaar appointed Crick Chief AI Scientist
The Francis Crick Institute has appointed Professor Mihaela van der Schaar as its Chief AI Scientist, advancing its ambition to combine artificial intelligence with fundamental biology and medicine, c...
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Reposted by Fabian Fröhlich
Richard Sever @richardsever.bsky.social · 24/06/2026
Are cells worth having? Royal Society President Paul Nurse answers the hard questions youtu.be/7B4jko1VFP8?...
youtu.be
Philomena Cunk vs Sir Paul Nurse
YouTube video by Philomena Cunk
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James Briscoe @jamesbriscoe.bsky.social · 19/06/2026
In our latest editorial @amjeve.uk & I take on the dreaded impact factor Like Monday mornings no one likes them but you can't ignore them & they keep coming around However there are things we should all do as authors, reviewers & editors journals.biologists.com/dev/article/...
journals.biologists.com
The elephant in the room: impact factor
Summary: This Editorial offers an honest look at impact factor trends in developmental biology, explains how Development serves its community, and makes the case that sustaining developmental biology ...
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Oxford Mathematics @oxfordmathematics.bsky.social · 14/06/2026
In 2022 Fantasy Premier League winner @joshuabull.bsky.social made his World Cup predictions. They were okay, but no cigar. However, in the intervening four years he has really honed his mathematical skills. Now he is 100% confident he's found the secret sauce.
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Wolfgang Huber @wkhuber.bsky.social · 10/06/2026
One of the good things about the AI co-scientist brouhaha is that it makes us discuss what science *is*, and how to measure its value, impact, quality. — Questions that have been there all along, but many preferred to gloss over.
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openRxiv @openrxiv.bsky.social · 01/06/2026
Introducing openRxiv Labs! 🔬 Growing from the strong foundation of bioRxiv & medRxiv, Labs is an experimental space for working with collaborators to push the boundaries of open scientific communication. 👉 Check it out and learn more: openrxiv.org/openrxiv-lab... #OpenScience #Preprints #Scicomm
openrxiv.org
Launching openRxiv Labs - openRxiv
Over the last thirteen years, bioRxiv and medRxiv have grown into widely used infrastructure for rapid research sharing in biology and medicine. The reliability and researcher-first values that have d...
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Richard Sever @richardsever.bsky.social · 30/05/2026
"Hypothesis generation: pretty good...data analysis: a super power...executing experiments: not so much" AI can help at every stage of the research cycle. Jonah Cool from @anthropic.com discuss the benefits of integrating frontier models and potential concerns youtu.be/sz1vQyBzSgw?...
youtu.be
Interview with: Jonah Cool
YouTube video by CSHL Leading Strand
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Rob Patro @robp.bsky.social · 27/03/2026
The people who believe that generative AI development & adoption everywhere is the ultimate goal & the first order predictor of success are insufferable. So are the people who think that AI can't ever produce anything useful and that everything they do produce is "slop". I miss reasoned arguments.
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Santos lab @santoslab.bsky.social · 21/05/2026
An amazing list of speakers and lots of opportunity to give selected talks! Save the date and join us in Amsterdam next year!
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