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Latent sphere autoencoders can now generate sharp, high-fidelity images by overcoming equatorial bias and averaging artifacts with a novel training regimen.
Today's best LLMs fail spectacularly at long-horizon reasoning, achieving under 10% accuracy on a new benchmark designed to isolate this critical capability.
