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Meta Is Back: Inside Muse Spark and the $14B Alexandr Wang Bet
Highlights of AI News for April 06 -12 2026
Apr 14, 2026•15 min read
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Highlights of AI News for April 06 -12 2026

A tour of the architectures that bake 3D geometry into the network itself—from Hinton's capsules and the geometric deep learning framework to modern E(n)-equivariant graph networks powering physical AI.

Understand the elegant trick that let transformers process images, why it surprisingly works, and why its fundamental limitations drive the next generation of vision architectures.

Survey the post-transformer frontier—state space models, recurrent revivals, long convolutions, and equivariant networks—and see why the architectures that will power physical AI look nothing like a stack of attention layers.