AI Research
What Makes a Terminal-Bench Task Hard? Separating Genuine Hardness from Fake-Hardness on an Adjudicated Agentic Corpus
Unmasking the true barriers to AI agent performance by filtering infrastructure noise from genuine logic gaps.
Frontier benchmarks need tasks that current models cannot solve. But a task that no model solves is not automatically a hard task. The same zero pass rate can come from a real capability gap, but it can also come from missing context, a broken reference solution, infrastructure f...
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ArXiv CS.LG
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ArXiv CS.LG
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Distinguishing between genuine cognitive capability gaps and mere technical environment friction is critical for accurately measuring agentic progress. This research provides a framework to prevent developers from misidentifying brittle infrastructure as advanced model difficulty.
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