Neural Networks, Sparse Autoencoders, and a Fleet of Duck Robots
A 10-year-old convolutional neural network just out-diagnosed GPT-6 Astra and Claude Fable 5.1 at spotting melanoma, and Sara and Becca dig into why a cheap, specialized model still beats the giants (and what happens the day it doesn't). Then it's back to their favorite recurring character, the sparse autoencoder: a new paper says they need way less data than we thought, right up until you ask whether the "features" they find are even real. Becca's song-recreation analogy makes it click.
Plus: Rainbow Say, a Mac app that teaches you a language through the shows you already love, and the One…
The skinny
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