The critical point at which a machine learning model can quickly solve a problem is a kind of phase transition, similar to the moment when water molecules snap into place and form ice. Lenka Zdeborová studies these algorithmic phase transitions.
In an interview with @johnpavlus, Zdeborová discusses the theoretical similarities in physics and computer science.
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