Time for biotech start-ups to update their pitch decks with @Simon__Grimm 's superior dataviz.

First time I read smth good about Romanian immigrants. Nice given we're a 19 mil ppl country. via @IFP & @JeremyLNeufeld

What's the biggest moonshot opportunity in AI for cyberdefense? @IFP asked @girishsastry and I to find out. We came up with The Great Refactor, a focused effort to translate C/C++ -> Rust with AI at scale in open-source libraries, ensuring that code is memory-safe.

The most important policy intervention is someone close to Elon Musk convincing him to make X less dumb by: a) removing the deboosting of links b) doing something to prioritize intelligent content. There must be some AI solution to b).

I like this idea - targeting the capture of IP at time of bankruptcy is a promising and under-leveraged use of philanthropic funding. This is one of multiple potential use cases (open sourcing patents etc).

One of the main contributions in this piece is a graph of sequencing costs that i) isn't a weird 3D shape and ii) contains data beyond 2022.

an awesome set of ambitious project proposals on AI for science and security - like reading a future list of DARPA programs.

So excited this is out — a big congrats to my IFP team!!

🧬 Amazing effort by @IFP - stellar pieces tackling accelerated scientific discovery, cybersecurity, automated R&D, materials discovery, biotech, and more. @zhengdongwang and I wrote about strategic public benchmarks to accelerate scientific discoveries:

Most people think “indirect costs” for government-funded scientific research have grown out of control (some universities charge >60% rates). In response, the Trump admin tried to cap them at 15%. But this whole debate rests on a false premise: While ***negotiated indirect cost rates*** have gone up over time, ***effective indirect cost rates*** — the overhead costs the government actually ends up paying for — have not. Here’s what the data shows…