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If I were Grand Vizier, I would simply never fall out of favor. I would always be in the emperor's good graces. I would never be blamed for bad policies. I would outsmart all of my rivals. I wouldn't be ousted. I simply wouldn't be.

PSG as soon as Mbappe left them

Maybe they didn't do it for some elaborate strategy and what they are saying about LLMs is essentially true.

Brain == Computer. I am an "AI scientist".

If I'm reading the new STATE ( Adduri et al. , arcinstitute.org/manuscripts/St… ) paper correctly, we still cannot predict the effect of genetic perturbations better than a simple mean, and many methods do worse?

One thing that really bothers me with the new "virtual cell" terminology is that is currently largely focused on a very narrow definition of models that can predict effects of trans perturbations (gene dosage, drugs etc) on gene expression. 1/

Omar Rivasplata Plenty of Mir books here github.com/valeman/Awesom…

Chai Discovery (Joshua Meier Chai Discovery) just released Chai-2, a model for "zero-shot antibody design in a 24-well plate." The most existing result? Chai-2 successfully generated binders for 50% of the 52 targets they assayed (100x better than SOTA)! Some thoughts below:

Looks like Indiana just nuked from orbit one of the great research universities of the world. Sickening

CASP is getting cut by NIH... 😢 (Anyone with extra funds wanna help support perhaps the most important competition of the century?) science.org/content/articl…

First CASP... now Machine Learning in Structural Biology (MLSB)... sad to see workshop getting cut by Neurips. 😭

Announcing Ambient Protein Diffusion, a state-of-the-art 17M-params generative model for protein structures. Diversity improves by 91% and designability by 26% over previous 200M SOTA model for long proteins. The trick? Treat low pLDDT AlphaFold predictions as low-quality data

Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵

Quite possibly the greatest breakthrough in the field since the development of AlphaFold.

Our work on "Evaluating the representational power of pre-trained DNA language models for regulatory genomics" led by Amber Tang with help from Nirali Somia & Steven Yu is finally published in Genome Biology! Check it out! genomebiology.biomedcentral.com/articles/10.11…

A #computervision researcher at #ICML2025

Which of these images is not like the other and why does it matter for cancer research? That fourth transform is what real tissues need but most spatial methods can't handle. Enter SAME, our algorithm for integrating multimodal spatial omics across near-serial sections.

Anyone knows adam?

India suffers not because the average Indian is mediocre, but because the Indian elite is mediocre. Instead of lifting all, they create little bubbles for themselves.

#arsenal in crisis - yet to beat a team above them in the league #bbcfootball