Unverified50% confidenceBenchmarkExact time
On the ARC-AGI-2 test set, the system solved 230 out of 240 test tasks, with an overall accuracy exceeding 95%.
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Long-term
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9/12/2026
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UnverifiedIn a needle-in-a-haystack test with a 256K context, both models performed identically, each achieving a score of 93%, with each failing only once at 100% full context depth.69% similarUnverifiedOn the CLINC150 benchmark, 80 fine-tuning samples can bring vector routing to an accuracy of 85.9%, while a full fine-tune can exceed 96%.66% similarUnverifiedIn the same reproduction experiment, ResNet-20 achieved a test accuracy of 90.4% and ResNet-56 achieved a test accuracy of 91.7%, with training accuracies of 97.4% and 99.0% respectively.66% similarUnverifiedThe accuracy data in the test has an error margin of approximately ±8–10 percentage points at n=100 sample size (based on a 95% confidence-level binomial confidence interval).64% similarUnverifiedArticos claims its simulated testing achieves 86% human accuracy, a figure derived from peer review and benchmarked against the research methodologies of the Baymard Institute and Nielsen Norman Group.64% similar
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