CALM and the Revolt Against the Token
Continuous Autoregressive Language Models challenge the token-by-token bottleneck and hint at a different future for language generation.
5 posts
Continuous Autoregressive Language Models challenge the token-by-token bottleneck and hint at a different future for language generation.
BEACONS offers a model for reliability that AI systems badly need: explicit bounds, checkable guarantees, and less benchmark theater.
DeepSeek's Engram reframes memory as an architectural primitive, suggesting models may need recall structures rather than ever-larger layers.
Interpretability research asks whether LLMs can detect their own internal states, moving introspection from philosophy toward experiment.
Musk's idea of using idle Teslas for inference turns a car fleet into a provocative vision of distributed AI infrastructure.