# 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.

- Published: 2026-06-25T10:46:42.427Z
- Canonical: https://polylog.news/ai/2026-06-25/paper-finds-a-readout-blind-spot-in-looped-language-models
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv cs.LG](https://arxiv.org/abs/2606.24898)

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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