SOURCE-LINKED INTELLIGENCE

Intelligence Under Time Constraints: Rethinking Test-Time Compute

arXiv · AI, language, vision and robotics · article · Sep 14, 2026 · UTC

Intelligence under time constraints requires deciding not only how much to compute, but when computation is worth starting. We study this problem in streaming interactions, where evidence arrives incrementally and may be revised. Early computation has more time to finish but rests on incomplete evidence; waiting improves information while shrinking computational slack. We call this the information-slack dilemma. We take the evidence-dependent computational job as the unit of analysis: when to start it, what supports its result, and when that result can be committed. Advance computation is valu

Read original source ↗ Open in workspace

recordType

paper

region

Global