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Research2026-08-08 · source-backed
arXiv 2608.05784 puts no model in the loop: it compiles passively captured screen activity into a prompt-ready block that's byte-identical, cacheable and mechanically auditable. On 128,756 frames across 51 active days from one professional, it compresses a day 86x in 68ms, and an agent answering questions about that activity reaches 98.4% accuracy (Wilson 95% CI 91.7 to 99.7%) against 66 to 80% for LLM summaries. It also reports Routine Overhead Ratios of 60 to 343x and a delegable-recurrence rate of 9.0% in-sample.
Each link below shares sources, entities, or timing with this story.
Simon Willison released LLM / Same source domain / Shared topic / Tension
Linked by a graph relationship (Simon Willison released LLM); reported by the same outlet (arxiv.org); overlapping topics (against, agent).
Simon Willison released LLM / Shared entity: LLM / Earlier coverage / Tension
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-07-27.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-19.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-18.
Simon Willison released LLM / Shared entity: LLM / Earlier coverage
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-07-31.
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-06-19.
Simon Willison released LLM / Same source domain / Shared topic
Linked by a graph relationship (Simon Willison released LLM); reported by the same outlet (arxiv.org); overlapping topics (agent, beat).
Simon Willison released LLM / Shared entity: LLM / Earlier coverage
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; earlier LLM coverage from 2026-08-07.