Saanya Ojha, Partner @ BCV
Nick Cammarata argues that neural networks may be fundamentally more interpretable than believed: apparent chaos in neuron behavior reflects recursive generalization and discovered abstractions rather than irreducible compression, suggesting interpretability is an engineering problem, not a philosophical one.
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Topics: AI Infrastructure · AI (Horizontal)
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