Anthropic Says Life Sciences Is Its Biggest Bet After Code.
Eric Kauderer-Abrams started @AnthropicAI 's life sciences division ten months ago. He took on the stage at @SynBioBeta with Marc Tessier-Lavigne from @Xaira_Thera , and what caught my attention was how plainly Eric stated the following:
"The greatest opportunity to have a beneficial, scaled impact with everything that's happening in frontier AI is in the life sciences."
After coding, it's their biggest investment area. They've been training Claude on bioinformatics, chemistry, molecule design, structural biology, clinical regulatory. Their models went from mediocre in life sciences to roughly PhD level across most domains in under a year. That's a steep curve.
But what I found more telling than the benchmarks was the infrastructure they're building around it. Wet labs for basic research so their own scientists hit the walls firsthand. An acquisition of Coefficient Bio (acquired by Anthropic) to teach @claudeai how to think like a biotech program manager, not just a bench scientist. The gap between "Claude can answer a biology question" and "Claude can help you run a drug program" is enormous, and they're clearly aware of it.
Marc mentioned that 90% of drugs fail in the clinic. Two-thirds of those failures aren't bad science, but patient matching. You have a good target, a good drug, and you can't find who will respond. That's the problem both of them kept circling back to, and it's where causal AI models trained on real perturbation data might actually move the needle.
Marc said nobody's pushing a button for a development candidate anytime soon. But Anthropic went from $1B to $30B in revenue in sixteen months. That kind of resource behind this kind of focus is new. It's fun to think of what R&D can look like in the next few months!
#SynBioBeta2026 #SyntheticBiology #Biotech #AIxBio
if you're a founder bc you care about status, I recommend gtfo-ing right now
it will be the toughest time of your life. and no one will care.
every problem is your problem. nothing gets done unless you do it, because there's no one else to do things
@gabrielchua how about Toronto? I'm a senior studying CS @ UWaterloo, and we're running 'Battle of the Schools' with the University of Toronto. It's a weekend long event where the best junior ML engineers from both schools build amazing things together, would love Codex there!
I'm leading https://t.co/c8ANKdn1im, a student design team at UWaterloo for AI research, and with https://t.co/nas3jy1tV9 (UofT's undergrad AI design team), we'll be running a joint hackathon in late May that pits students from both schools together to win the "Maple Cup" (name tentative lmao). We're currently chatting with potential sponsors, would also love to chat with smaller companies looking for top undergraduate ML talent, HMU if you want to learn more about the event!
I'm leading https://t.co/c8ANKdn1im, a student design team at UWaterloo for AI research, and with https://t.co/nas3jy1tV9 (UofT's undergrad AI design team), we'll be running a joint hackathon in late May that pits students from both schools together to win the "Maple Cup" (name tentative lmao). We're currently chatting with potential sponsors, would also love to chat with smaller companies looking for top undergraduate ML talent, HMU if you want to learn more about the event!
Over the past couple of months I've have been trying to answer a question, can you predict a surgery before it happens? We're trying to tackle the problem of modelling the flow of our blood, take a read of this blog post detailing our progress thus far! -> https://t.co/HWAtF9WvpZ