I am legitimately surprised so many people are citing Paul Graham’s “Founder Mode” so uncritically. Yes, we know founder-led companies are run better + differently. There are decades of evidence for that. But ‘founder mode’ is so vague that it’s untestable.

The argument for “founder mode” is attractive but suffers from confirmation bias. There are many examples of startups where (after finding demand) the founders hired leaders with relevant experience, delegated, and achieved even more success. Reality is nuanced.

Technical Report of HelixFold3 for Biomolecular Structure Prediction The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3. abs: arxiv.org/abs/2408.16975 website:

Bioengineering lipid-based synthetic cells for therapeutic protein delivery doi.org/10.1016/j.tibt…

Massively parallel measurement of protein–protein interactions by sequencing using MP3-seq nature.com/articles/s4158…

One interesting feature of ‘founder mode’ is that the founder gets involved in every role/function. Is that not a sign of a bad manager? - if you don’t have the intuition to hire the right people, and you subsequently don’t trust them to do the job.

NYC meetup with owl! If you are a thoughtful nerd that wants to talk to other operators that work in Bio and ML, without the all the other BS. This event is for you.

Graham’s ‘founder mode’ seems nebulous. I also wonder how transferable it is to biotech, and what examples we can point to. Many founders are academics with outstanding ideas, but no real world expertise reducing to practice. They need teams of seasoned professionals to execute.

Love the idea of gamifying biological discovery 🧬🎮

A new #MachineLearning analysis has revealed the most effective climate policies out of 1500 implemented worldwide over the last two decades. Learn more in Science: scim.ag/8ej

I’ve been thinking for a long time about a problem, but suddenly I’m making a lot of exciting progress by just writing it down and reading the literature. So I’m saying that writing and thinking is crucial for the process. I’m also telling you I have a grant deadline very soon.

📡🧵 Excited to release our preprint: Ultrack: Pushing the Limits of Cell Tracking Across Biological Scales doi.org/10.1101/2024.0… A tour-de-force by Jordão Bragantini, #Ultrack is a versatile, highly accurate, and fast ILP-based cell tracking software for 2D, 3D, and multicolor

Join the first techbio meetup in LA! We will be hiking in Altadena (near NASA JPL) on 9/20. The trail is flat and wide - perfect for getting some air and making new friends 🧬🚀

Bene Gesserit Mode. Don’t rely on them to do the right thing. Use the voice.

Want to learn how transformers and large-language models can help to organize&understand single cell profiles? Led by Artur Szałata, we review current such approaches in single cell genomics and give perspectives towards foundation models etc. nature.com/articles/s4159…

Yeah Founder Mode is cool, but have you seen Technical Marketing Manager mode?

Transformers in single-cell omics: a review and new perspectives | Nature Methods nature.com/articles/s4159…

so GPU purse is real and it comes with a fan 👜