Unverified50% confidenceBenchmarkExact time
The original video cited a benchmark test: the model failed to complete a task when given 46 tools, yet passed the same task once the tools were reduced to 19.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/25/2026
First Seen
Valid until: 1/23/2027
Sources
Larger Context Windows Make AI Agents Less Reliable? 4 Failure Modes and How to Fix Them
bilibilicode炀10/24/2026
Related Entities
Related Claims
UnverifiedIn the benchmark's 60 runs, the early termination conditions were triggered 27 times, including 21 detections of lack of progress and 6 cases of model provider unavailability.77% similarUnverifiedIn a test that used Traework to fully simulate a product development workflow, the tool retrieved more than 100 sources during the research phase, but after manual verification only about 40 were truly usable, while the other 60 needed to be discarded or re-investigated.73% similarUnverifiedIn a preregistered study, confidence intervals relying solely on LLM judges failed to cover the full human-annotation ground truth in 18 of 21 task-and-judge combinations.72% similarUnverifiedOf the 131 tasks, only 28 are numerical computation type, yet half of the twelve tasks on which all four models failed belong to numerical computation.71% similarUnverifiedAfter training for most of a day using only about 1,000 edge tasks that are 'sometimes done right and sometimes done wrong,' the 4B model recovered more than half the gap to the 27B model.71% similar
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