Trevor Kleeβs Newsletter β’ 597 implied HN points β’ 26 Nov 24
- Emergent properties in biology can be hard to connect, kind of like trying to understand a car by randomly taking it apart. Even as we learn about proteins and genes, connecting them to actual biological traits remains a challenge.
- Deep learning models like Alpha Fold are changing the game by revealing connections between micro and macro biological features, even if we don't fully understand how they do it. It's like having a model that can assemble a car based on its parts without exactly knowing how all those parts work together.
- Recently, there's been exciting work in mechanistic interpretability, which helps us understand how these deep learning models make sense of biology. This could lead to new insights and even virtual experiments that help us learn about cell behavior and gene interactions.