Study asks: Are LLM agents time-aware and budget-conscious?
maksym_andr · x · 2026-08-25
The post discusses the emerging need for LLMs in auto-research systems to be time-aware and budget-aware. Enterprises allocate budgets (money, GPU hours, time) that agents must manage judiciously. Currently, models struggle with budget-aware decisions as they cannot predict the resource cost of specific experiments.
A related linked post highlights a new blog post studying whether LLM agents can predict wall-clock time or estimate elapsed time for tasks, evaluated on long-horizon benchmarks like ProgramBench, PaperBench, and DeepSWE.
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