Lex Fridman interviews John Hopfield, a professor at Princeton, whose life’s work weaved beautifully through biology, chemistry, neuroscience, and physics.

Most crucially, he saw the messy world of biology through the piercing eyes of a physicist. He is perhaps best known for his work on associate neural networks, now known as Hopfield networks that were one of the early ideas that catalyzed

Timeline:

  • 0:00 – Introduction
  • 2:35 – Difference between biological and artificial neural networks
  • 8:49 – Adaptation
  • 13:45 – Physics view of the mind
  • 23:03 – Hopfield networks and associative memory
  • 35:22 – Boltzmann machines
  • 37:29 – Learning
  • 39:53 – Consciousness
  • 48:45 – Attractor networks and dynamical systems
  • 53:14 – How do we build intelligent systems?
  • 57:11 – Deep thinking as the way to arrive at breakthroughs
  • 59:12 – Brain-computer interfaces
  • 1:06:10 – Mortality
  • 1:08:12 – Meaning of life