
Start the Week Biology, technology and the future
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Jan 26, 2026 Joanna Kavenna, novelist (Seven), brings literary and philosophical imagination. Adrian Woolfson, biologist and author, outlines programmable biology and genome writing. Gaurav Suri, cognitive scientist, explains neural networks and emergence. They discuss how AI reveals biological grammar, the idea of designing genomes from scratch, parallels between brains and genomes, and what emergent intelligence might mean for reality.
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Mind As An Emergent Process
- The mind emerges from interactions of simple neurons rather than from any single cell.
- Gaurav Suri compares minds to processes like a stomach or garage door opener to demystify cognition.
Neural Networks Mirror Brain Principles
- Neural networks model brains by abstracting neurons as simple processing units with activations and connections.
- Machines simulate activation values instead of biological action potentials to reproduce network behavior.
Simplicity Underpins Brain Complexity
- Despite astronomical connectivity, brain function relies on simple principles: activation and connections.
- The neural network framework offers tractable ways to explain habits, perception, and decision biases.






