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This paper introduces In-Place Test-Time Training, a framework that updates MLP weights in real-time during inference, allowing LLMs to dynamically adapt and handle long contexts up to 128k tokens.
Discusses unverified claims that Ilya Sutskever's new company has achieved a paradigm shift in AI by building a model that learns and rewires itself in real time, potentially advancing AGI.