Strong LLMs Don't Make Reliable Agents: DataSpace Benchmark Tops at 66%
eyishazyer · x · 2026-08-25
Citing the DataSpace benchmark, Rohan Paul argues that a strong LLM does not automatically make a reliable data agent. The benchmark tests 410 tasks requiring agents to combine databases, CSV/JSON files, long documents, and video to return exact tables. The best model achieved only 66.34% accuracy. This highlights that the "harness"—including agent orchestration, cross-source joins, and final-table handling—materially affects task success, implying that getting the right answer is only half the job.
Related event: DataSpace Benchmark: Strong LLMs Fall Short as Data Agents(2 posts)→
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