Unverified60% confidenceBenchmarkExact time
The company claims that tool-call accuracy has improved by 50% through self-healing tool calls and sandboxed code execution.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
8/13/2026
First Seen
Valid until: 11/11/2026
Sources
Related Claims
UnverifiedExperiments show that the relative performance improvement of KAN over MLP during training can reach up to 50%.71% similarUnverifiedWOVEN data can replace 30%–50% of a task's own training data with comparable accuracy.64% similarUnverifiedIn self-improving agents, the ideal training task success rate range is usually set between 50% and 80%.63% similarUnverifiedThe number of training epochs directly affects recognition performance; the more thorough the training, the higher the detection accuracy, and it is recommended to increase the number of training epochs to 20, 50, or even 10063% similarUnverified研究表明主动检索练习（测试效应）比单纯重读材料的学习效果高出50%以上62% similar
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