Sam Rodriques

Wow this is insanely awesome. I bet like <0.01% of X understands even remotely what this is or why it's important but this is insanely awesome. x.com/alexrives/stat…

One of my favorite podcast appearances, with @l2k. There is a long history of AI overpromising and underdelivering in biotech and pharma -- why is this time different? Super fun episode. x.com/wandb/status/2…

On Friday someone asked me how they should think about what they should do with their career. I told her the most important thing to recognize is that progress proceeds as a series of S curves, and the most important thing is to recognize when an S curve is going to take off and get in at the bottom. The rest -- what exactly you do, for example -- is less important. This is true if you’re a scientist just as much as if you’re an entrepreneur. With AI today, we don't exactly know where we are on the S curve or when/if it will flatten, but we're certainly not exactly at the bottom anymore. That said, the economy is going to change dramatically in the next 10 years, and there are a bunch of other technologies that are clearly just over the horizon, so there are lots of other S curves that are taking off right now. There are major opportunities in every direction. There has probably never been a better time to be a scientist or entrepreneur.

I have spent my entire life working on this and thinking about this for the past 4 years. I don't know what will happen in 20 years, but I can promise you that on the 5-10 year timescale, scientists are not out of their jobs. AI is going to massively accelerate the pace of science, increase productivity, let individual scientists make way more discoveries way faster, and is going to make science overall more fun. But the model is going to be collaboration between humans and AI, not replacement. The key difference here between science and e.g. software engineering is that science is not verifiable in any rapid/convenient way (unlike software), unlike programming. We still need humans for their scientific taste.

Our paper on Robin is out at Nature! Robin was the first multiagent system for end-to-end biological research, which we preprinted last year, and was published back to back with Google's awesome Coscientist from @vivnat. Great validation, and major congratulations to the team.

Check it out here: nature.com/articles/s4158…