at first i told my board it'd take 6 months to open the largest autonomous lab in the US. Then @barisakis asked: "is an autonomous lab more complex than the world's largest datacenter? cause elon built colossus in 122 days." 🤬 fine. bet. let's do it in 90.

Three months later and I got it: The definitive San Francisco rental heatmap. Built off real data, this shows current 1-bedroom rents for a 650sqft unit. Blue = $2,500/mo Red = $4,250/mo Biggest "surprise" in the past 12-months has been the rent comeback in SOMA.

Building self-driving labs is not the same as building automated, high-throughput labs. It’s like Waymo vs Ford Blue Cruise. In a Waymo, you can go to sleep and not care about what turns the car makes, you just want to reach your destination. You don’t even have to know how to get there, just where you want to go. Using BlueCruise, you can take your hands off the wheel, but you still must make any turns and know where to go/follow directions. Put simply, you are still required to drive, and you still must react to road conditions. This is exactly the case with materials research. We build SDLs @RadicalAI, not high-throughput labs, because we deeply believe AI Autonomy will allow anyone who wants to be a scientist to be one. You don’t need to follow directions or observe the experimental process. All you need to do is put in your objective (destination) and let the AI scientist go to work. The future is bright.

a standing ovation for daraxonrasib at asco. over 40k oncologists, entrepreneurs, investors, and patient advocates together celebrating revmed's breakthru in the fight against pancreatic cancer. u never forget these moments. it's what innovation is all about.

It’s so cute when you talk to someone a lot and you notice your phrases slowly slipping into their vocabulary