@lateinteraction: Intuition: Compaction is agentic recurrence (RNNs), whereas recursion (RLMs) is agentic attention. Recurrence maintains…

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Summary

The article shares an intuition that compaction in RNNs represents agentic recurrence while recursion in RLMs represents agentic attention, comparing different context-handling approaches in AI models.

Intuition: Compaction is agentic recurrence (RNNs), whereas recursion (RLMs) is agentic attention. Recurrence maintains a constant-size state at all times by compressing the past. Attention keeps all context fully represented and then decides how to re-process it for each step.
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Cached at: 08/15/26, 07:50 PM

Intuition: Compaction is agentic recurrence (RNNs), whereas recursion (RLMs) is agentic attention.

Recurrence maintains a constant-size state at all times by compressing the past.

Attention keeps all context fully represented and then decides how to re-process it for each step.

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