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Morning Edition · Thursday, June 25, 2026
Paper Finds a 'Readout Blind Spot' in Looped Language Models
Dense supervision does not guarantee that a recurrent model's hidden states learn what training appears to teach.
A new paper, Dense Supervision Is Not Enough, examines looped language models, architectures that turn hidden states into runtime state by decoding each state for a prediction and feeding it back into future computation. This recurrence is…
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