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We track real-world AI reliability in our March 2026 update. Our analysis uses the FACTS benchmark to measure how often models stray from the truth. We found that top-tier enterprise agents now limit hallucination rates to just 0
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Our March 2026 update tracks how enterprise models handle factual accuracy. We analyzed performance across the FACTS benchmark to see where systems stumble. The data reveals a significant shift in reliability, with top-tier models now maintaining a 0
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We track real-world model reliability to help you build safer search systems. Our March 2026 update analyzes hallucination rates across the FACTS benchmark to provide clear performance insights. We found that top-tier models currently maintain a 0
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We analyze AI hallucination rates to help you build reliable production systems. Our March 2026 update evaluates the latest models against the FACTS benchmark to identify which architectures minimize factual errors
We track how often models drift from the truth. Our March 2026 update dives into the latest performance shifts across the industry. We use the FACTS benchmark to measure accuracy under pressure