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Marc Lipsitch I'm saying that his "all papers are wrong" paper is wrong and so is his most recent paper which is frustrating because as you point out he is trying to make his own point but then he is failing at that because in fact not all papers are wrong, only his seem to be.

Dudes write one CUDA kernel and start talking like this

Descent into barbarism

Disappointing from Demis Hassabis. This kind of blind AI optimism forgets the importance of collecting data to feed AI (which would probably take 10 years on its own!), & doing the trials to see if the AI-developed drugs work (5 more years, even if we test them all in parallel).

A common argument for the lab leak theory is that Wuhan is 1,000 miles from the bat viruses most similar to SARS-CoV-2, therefore the virus must be unnatural. The big problem with this argument is both SARS1 and MERS were found similarly far away from the closest bat viruses. 🧵

If your main plan for a peaceful society is to have a population so dumb and infantilised that they don't have access to basic tools or knowledge then that's going to carry other costs you just need to be willing to write down.

Why test #celltherapies one-by-one when you can use multiplexed #SynBio, #proteinengineering & #ML to design, measure & track them at scale? The Goodman Lab Penn Medicine opens July 2025. We’re hiring Specialists & Postdocs! Apply @ bit.ly/42BnJNJ RTs appreciated!🙏

This is super exciting! Getting close to having life with really different genetic codes. Congrats Chin lab!

This is an amazing paper from the groups of Anshul Kundaje (anshulkundaje@bluesky) & Scott Boyd and an example of how AI can be used well in biology. Basically, they are able to predict disease status (e.g. lupus, Covid, HIV, influenza) from BCRseq and TCRseq. I think this has great implications.

Half of children died. A thread. 🧵

American funding for hard sciences has fallen 2/3 this year. In physics, they are receiving 15% of what they did last year. What the fuck are we doing?

I'm thrilled to see Rachel Thomas's interesting new article, on a recent deep learning microbiology paper, getting the attention it deserves -- check it out if you haven't seen it yet! rachel.fast.ai/posts/2025-06-…

It’s official: #SB79, which legalizes building multifamily housing near transit stops, has just passed the California Senate! One of the most impactful housing affordability proposals in years now moves to the assembly! Huge thanks to my Senator, Josh Becker, for supporting!

Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team Tatsunori Hashimoto Marcel Rød Neil Band Rohith Kuditipudi. Researchers are becoming detached from the technical details of how LMs work. In CS336, we try to fix that by having students build everything:

Shame the U.S. federal government is defunding institutions that could eventually cure 2 million Americans of lifelong disease.

Here's yet another article blaming scientists for the popularity of the lab leak theory, this time from Jane Qiu: theguardian.com/commentisfree/…

It is really astonishing to me how mindlessly credulous so many scientists have been about this crappy paper.

Almost unfathomable to me how much the Right is intentionally destroying the things that makes the US a wealthy, prestigious and powerful country

We desperately need to take all the people in SF who talk about accelerating biology but have only ever done math or CS and have them do a six month rotation in a wet lab.

We ran a randomized controlled trial to see how much AI coding tools speed up experienced open-source developers. The results surprised us: Developers thought they were 20% faster with AI tools, but they were actually 19% slower when they had access to AI than when they didn't.