Long-Task Capabilities Render Old Benchmarks Obsolete
davidpattersonx · x · 2026-07-12
The author argues that AI can now tackle projects of any scale by breaking large tasks into smaller subtasks, rendering task-length metrics like the METR benchmark unimportant.
The cited example highlights GPT-5.6 Sol working continuously for over 16 hours on the Power Atlas project without hitting rate limits. It could persistently retrieve sources, cross-reference conflicting data, verify results, and expand a global map of energy and digital infrastructure with minimal user intervention. The emphasis isn't on the map itself, but on the model's ability to maintain structured work over long periods without getting stuck in loops or losing sight of the goal.
Related event: Rumor: GPT-5.6 Sol Can Work Continuously for 16 Hours(2 posts)→
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