life sciences

5 statements across 4 episodes · 3 bullish · 1 bearish · 4 people on the record · first statement Sep 25, 2023 by Daphne Koller · across every show →

Everything said about life sciences, oldest first

Sep 25, 2023 neutral
Insight
Koller: ML lagged in life sciences due to lack of cross-disciplinary talent
“It wasn't having much of an impact in the life sciences, and I believe one of the main reasons for that is because there's so very few people who actually have the language of both disciplines and are able to bring them together.”
Daphne Koller Sep 25, 2023 ▶ 3:05 Digital Biology with insitro's Daphne Koller
Jan 4, 2024 positive
Insight
Duffy: Rising Tech Fluency In Life Sciences Simplifies Building Healthtech Startups
“Today's cursive is JavaScript. So you're not it's not, so there's just more. Tech fluidity coming out of the, you know, I think the life sciences. Which speaks to more talent that can appreciate both worlds, which speaks to cultures that can build the best of …”
Sean Duffy Jan 4, 2024 ▶ 9:38 Fireside Chat with Sean Duffy
Apr 23, 2025 negative
Insight
Vance: Building physical world businesses is harder than digital media
“And they know that as hard as it is to build a business in digital media, it's still harder to build one in robotics or life sciences or energy in what we call the world of atoms.”
J.D. Vance Apr 23, 2025 ▶ 9:57 JD Vance on the Future of America
Dec 31, 2025 positive
Prediction Not checkable as stated
Hsu: Near-term scientific research will rely on human-AI-robotics collaboration
“So what that might look like in the near term is collaboration between a scientist and a system that involves both an AI application and a robot and having that be a much more collaborative process in the near term In many different kinds of labs and many diff…”
Oliver Hsu Dec 31, 2025 ▶ 1:11 AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)
Dec 31, 2025 positive
Prediction Not checkable as stated
Hsu: Autonomous labs will first penetrate mature markets like life sciences
“So I think there are certain categories of science where there is just a much more mature demand side market for the outputs of research. And examples include, of course, life sciences and pharma the chemicals industry facets of the material science industry. …”
Oliver Hsu Dec 31, 2025 ▶ 4:03 AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)
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