Assertion Supported AI assessment confidence: 95% certainty 4/5 debate potential 2/5

Snell: Sleep-time compute gains widen when upcoming questions are predictable

Charlie Snell · Sleep-Time Compute — Letta AI (Charles Packer, Charlie Snell, Kevin Lin) · Apr 21, 2025 · at 25:05

Charlie Snell, co-author of the Sleep-Time Compute research paper, explains findings on when pre-computing reasoning during idle time yields the largest accuracy benefits.

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“We measured how predictable is the question from the sort of context. And we find that like, as the questions become more predictable, the benefit you see from applying sleep compute kind of widens.”

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The claim, plainly

As the next question becomes more predictable from context, the performance benefit of applying sleep-time compute widens.

a quote alone can be ambiguous, so this restates it with the references and context of the conversation around it resolved. AI-written; the tape below the player is the source.

Assessment

The claim is directly confirmed by the Letta and UC Berkeley paper 'Sleep-time Compute: Beyond Inference Scaling at Test-time' (arXiv:2504.13171), co-authored by Charlie Snell and submitted in April 2025. In Section 5.4 ('Predictable queries benefit more from sleep-time compute'), the authors measured query predictability via the log-probability of the question given the context and evaluated performance across predictability quantiles on the Stateful GSM-Symbolic benchmark. The study explicitly concluded that the performance advantage of sleep-time compute over standard test-time compute widens as query predictability increases, showing the largest accuracy gains in the highest predictability bin.

arXiv:2504.13171 (Lin, Snell, et al., April 2025), Section 5.4, states: 'The gap between sleep-time compute and standard test-time inference widens as the question becomes more predictable from the context'.
Evaluation across five quantiles of query log-probabilities on Stateful GSM-Symbolic confirmed that sleep-time compute achieves increasing accuracy gains over baseline test-time compute as predictability increases.

Checked against

[1] arxiv.org [2] arxiv.org [3] arxiv.org [4] arxiv.org [5] arxiv.org [6] arxiv.org [7] arxiv.org [8] prompthub.us

site:arxiv.org/html/2504.13171v1 "predictable" "Charlie Snell" "sleep-time compute" OR "sleeptime compute" OR "sleep time compute" site:arxiv.org/html/2504.13171v1 "predictability" "Sleep-time Compute: Beyond Inference Scaling at Test-time" "predictability" "sleep-time compute" arxiv Charlie Snell Berkeley Letta "arXiv:2504.13171" "predictability" OR "predictable"

assessed as of 2026-09-02

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Mentioned

context predictability sleep compute

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Snell: Sleep-time compute gains widen when upcoming questions are predictable

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