"Moving to computational medicine will require being comfortable with understanding biology by outcomes rather than by mechanisms." That's an interesting and controversial take. I don't think this is true, but I wonder what David Deutsch would say about this 🙂

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis ift.tt/BRf4Mxv

The question at this point is: what is the environmental impact of an environmental impact statement?

Question: if a neurips paper decision is out, but you don't know the result yet, is the decision a random variable or not? 🤔

Today's a good reminder of how much further in the future we could be living if regulators simply got out of the way.

This Friday at #ICAIF 2024, together with Nick Bishop and #AniCalinescu, we'll give a tutorial on building and calibrating differentiable agent-based models of financial systems! Notebooks and materials are freely available on our tutorial website: largeagentcollider.github.io/icaif_tutorial/

📢 Exciting News! Our paper, “Bayesian Computation Meets Topology,” has just been published in TMLR! 🎉 👉openreview.net/forum?id=0h1Dt… 👈 Here’s a deep dive into how #topology and #bayes(ian) computation come together to enhance parameter inference: 📌 Why Topology? Topology

If you believe (=0) do you also believe (sinx)/n = six? In maths you can't just leave out the definitions and start with the proof. Do you mean both x to be exactly the same entity or do you mean one fixed but unknown quantity for every letter in the alphabet, i.e. (x'-x)?

Or: "Why are Chatbots trained to tell us what we want to hear so reluctant to say 'I don't know'?" It's a mystery. 🤔

Latent Labs comes out of stealth today with $50M funding. Our goal? To push the frontiers of generative biology, giving partners instant access to tools capable of accelerating drug design. Every biotech or pharma company searching for the best therapeutic molecules understands

Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: platform.latentlabs.com Blog: latentlabs.com/latent-x/ Technical report: tinyurl.com/latent-X

I'm really excited about what we build here, the machine learning, the science, but also the platform! Proud to be part of an amazing team!

🧬 Latent-X is our first frontier model for protein design. For mini-binders, our AI model achieved picomolar binding affinities — the strongest reported vs prior methods in head-to-head lab validation. Explore our best binders here (no login required): platform.latentlabs.com

It's been a fantastic first few days of public usage of the Latent Platform! The team has been providing white glove user support - for feedback or requests, you can reach us through our feedback channels: form.typeform.com/to/P4vxcyT2?ty… Also, check out our sharing feature below: You

Showcasing Latent-X's breakthrough macrocycle designs. Our AI achieved an unprecedented 91-100% hit rate with single-digit micromolar binding affinities—functional binders on every single target tested. Explore our binders without logging in: platform.latentlabs.com

In Silico is back for round #002. Come see great talks on the future of protein and molecular design from Amy Lu Simon Mathis Sebastian Schmon and Dominik Dekleva. October 1st 6pm at IDEALondon luma.com/txswapqo

Proud to share that our founder Simon Kohl was named in the Observer's 2025 A.I. Power Index. Simon Kohl's recognition reflects both his groundbreaking contributions and enduring influence in AI's transformation of biology. See the full roster of A.I. leaders:

Another packed room and great company, thanks everyone for coming to our second In Silico event. Special thanks to Amy Lu Simon Mathis Sebastian Schmon and Dominik Dekleva for the great talks! And our sponsors and hosts Renaissance Philanthropy and IDEALondon Look out for the next edition soon 👀