Causality

topic on 3 shows · 4 statements across 4 episodes

the Knowledge Project Latent Space No Priors

4 statements about Causality, every show

Chu: Observational Profiling Data Cannot Learn Biological Causality
“Fundamentally, we believe our provisional data are underpowered to learn causality, truly.”
Ci Chu Jul 21, 2026 ▶ 22:45 🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)
NO PRIORS Insight
Koller: AI requires synthesizing deep learning with causal and interpretable modeling
“What I think we're starting to see right now is a the pendulum starting to swing back in the sense that there is a greater understanding that you really need a bit of both. You need that hugely powerful pattern recognition that we get from deep learning, but y…”
Daphne Koller Jan 11, 2024 ▶ 12:38 No Priors Ep. 46 | Best of 2023 with Sarah Guo and Elad Gil
NO PRIORS Insight
Koller: AI requires synthesizing deep learning with causal and interpretable models
“What I think we're starting to see right now is a the pendulum starting to swing back in the sense that there is a greater understanding that you really need a bit of both. You need that hugely powerful pattern recognition that we get from deep learning, but y…”
Daphne Koller May 19, 2023 ▶ 2:28 No Priors Ep. 6 | With Daphne Koller from Insitro
Mauboussin: An innate drive for causality impairs human statistical thinking
“We're all, as humans, we're all about causality. By the way, that's one of the reasons we start, struggle so much with understanding statistical thinking.”
Michael Mauboussin Apr 28, 2015 ▶ 37:51 #1 Michael Mauboussin: When To Trust Your Gut

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