News Grower

Independent coverage of AI, startups, and technology.

Ars Technica Apr 7, 2026 at 16:53 Big Tech

Testing suggests Google's AI Overviews tell millions of lies per hour

Is 90 percent accuracy good enough for a search robot?

By Ryan Whitwam Original source
Testing suggests Google's AI Overviews tell millions of lies per hour

Looking up information on Google today means confronting AI Overviews, the Gemini-powered search robot that appears at the top of the results page. AI Overviews has had a rough time since its 2024 launch, attracting user ire over its scattershot accuracy, but it's getting better and usually provides the right answer. That's a low bar, though. A new analysis from The New York Times attempted to assess the accuracy of AI Overviews, finding it's right 90 percent of the time. The flip side is that 1 in 10 AI answers is wrong, and for Google, that means hundreds of thousands of lies going out every minute of the day. The Times conducted this analysis with the help of a startup called Oumi, which itself is deeply involved in developing AI models. The company used AI tools to probe AI Overviews with the SimpleQA evaluation, a common test to rank the factuality of generative models like Gemini. Released by OpenAI in 2024, SimpleQA is essentially a list of more than 4,000 questions with verifiable answers that can be fed into an AI. Oumi began running its test last year when Gemini 2.5 was still the company's best model. At the time, the benchmark showed an 85 percent accuracy rate. When the test was rerun following the Gemini 3 update, AI Overviews answered 91 percent of the questions correctly. If you extrapolate this miss rate out to all Google searches, AI Overviews is generating tens of millions of incorrect answers per day.Read full article Comments

Related tags

Companies and people

Story threads

Continue with this story

Follow the same topic through connected articles, entity pages, and active story threads.

Ad slot

Article inline monetization block

A reserved partner slot for relevant tools, services, and contextual editorial integrations.

Partner slot

Related articles

More stories that share tags, source, or category context.

More from Ars Technica

Fresh reporting and follow-up coverage from the same newsroom.

Open source page