Excited to share my latest preprint (with a stellar band of collaborators), where we map the VCF data model into an efficient, cloud-native storage format. Thread follows: biorxiv.org/content/10.110…

Quick update: 1. New repo location github.com/apache/hamilton 2. Please bear with us as we transition a few things with this change.

America This Week, Live on Monday 6-2-25 x.com/i/broadcasts/1…

Has anyone ever built a debugging tool for terminal apps, where you can move your mouse/cursor over any character that printed in the terminal, and it gives you access of the call stack at the moment that character in the terminal was printed?

I wonder how much code out there is unnecessarily slow because it looks like this: const a = await taskA() const b = await taskB() instead of: const [a, b] = await Promise.all([taskA, taskB]) Async/await is a really convenient footgun

A Personal Update By Vijay Pande Today, I’m sharing that after more than a decade, it’s both exciting and bittersweet that I’ll be stepping away from my role at Andreessen Horowitz. This has been one of the most meaningful chapters of my life, and I’m filled with gratitude as I

Between alarms and sheltering, I learned last night that my postdoc mentor, Professor Atul Butte Atul Butte, has passed away, and he is only 55 years old. This is devastating news 💔. Atul was a giant in so many ways. He was a visionary leader in translational bioinformatics

Atul was a visionary whose infectious enthusiasm will live on and power the generations. We will miss you, Friend.

My notes on Anthropic's substantial essay about how they built their multi-agent research system, which has finally talked me around to taking multi-agent LLM prompt engineering seriously simonwillison.net/2025/Jun/14/mu…

Really excited about our lab's latest paper led by Kevin Korfmann. Here, Kevin has developed a deep, transformer-based language model for population genetics for inferring coalescent times (times of common ancestry) along recombining chromosomes. biorxiv.org/content/10.110…

The is diabolical... a Python object that hallucinates method implementations on demand any time you call them, using my LLM Python library github.com/awwaiid/gremllm

OK. I posted a first attempt at spelling out some of my thoughts on the new race for virtual cell models. Overall, I'm excited, but also wary that we might repeat some of the same mistakes of the past.

As part of my assignment, I was tasked with designing a high-density data grid for an SEO platform. During development, our analysis of Google Analytics data revealed that the majority of our users access the platform on 13-inch display laptops. This insight necessitated

I do believe I've nailed the table scaling. 💪 I was stuck on this last night. Just couldn't get it. Got it working this morning before I had finished my coffee. ☕️Proving once again the best debugging technique is a good night's sleep Turns out it is a two-step problem. First

NewLimit paper just dropped ICML Conference showing our SOTA AI models can predict perturbed cell states. Helps to have the largest primary cell perturbation dataset in the world. Bonus points for one of the first demonstration of active learning in bio.

IMO, medium scale combinatorial regulator perturb expts with diverse measurable stoichiometry are going to be far more informative to learn causal models of cis-trans regulation than genome scale single gene knockouts. Hope we get more of these kinds of datasets at scale. 1/

Systems of record arguably become more important with AI Agents. When we have 100X more agents than humans, we’ll care a lot about the workflows and data those agents are tied to. The deterministic parts of software are the guardrails that keep agents safe and on track.

Wrote some notes on Toad, Will's new not-yet-open-source-but-soon terminal coding agent built on Textual He's charging companies $5,000 for early access to the preview before it goes open source, I'd love to see that model work here! simonwillison.net/2025/Jul/23/an…

Alright, I will tell you my idea. Slim Jimmy David Abram 🐊 💻🐴Ngnghm Did you know that there is no fundamental difference between compilation and transpilation? Stranger, there is no fundamental difference between meta programming, code generation, and compilation. All

Appears to be a breakthrough result but no mention of Nagarajan (Vaishnavh Nagarajan ) and his insight into pitfalls of next token prediction. arxiv.org/abs/2508.08222