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Chronic neural recordings can now reveal stable, semantically rich representations of cognition by disentangling plasticity from noise.
This work meta-train speaker-state dynamics through the closed streaming loop, exposing the updater to its own contaminated evidence, and proposes 41k-parameter anchored fast-weights memory, which moves beyond the measured heuristic frontier.
Training language models with just 100 million tokens could redefine efficiency benchmarks in Chinese NLP.
LLMs still fail to grasp research-level mathematics, with top models scoring below random chance when superficial pattern matching is removed, even with access to proof sketches.
