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Google's new AI-powered search feature, Web Guide, automatically suggests several related searches for each query.

Web Guide is built on a modified version of Gemini designed to better interpret both user questions and web content. The system uses a different query method, running multiple related searches in parallel to surface the most relevant results.

This strategy makes it easier to find websites that might otherwise go unnoticed. The experimental feature organizes web links by topic, highlighting different angles of a user's search. Google is currently testing Web Guide in its Search Labs program and plans to expand AI-organized results to more areas of Search over time.

Google's experimental Web Guide organizes web links by topic and highlights different search angles. | Video: Google

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It looks like humanity might flunk its own "final AI exam." According to FutureHouse, about 29 percent of biology and chemistry questions in the AI benchmark Humanity's Last Exam (HLE) have answers that are incorrect or misleading, based on published literature. The error rate was uncovered through a combination of human review and AI-backed analysis.

HLE was built to push language models to their limits with especially tough questions, but the analysis suggests that many of its items are themselves misleading or wrong. Experts only spent a few minutes per question, and a full accuracy check wasn't required. In response, FutureHouse has released a smaller, vetted version called "HLE Bio/Chem Gold" on HuggingFace.

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The US Food and Drug Administration is relying on Elsa, a generative AI system, to help evaluate new drugs - even though, according to insiders, it regularly fabricates studies.

"Anything that you don’t have time to double-check is unreliable. It hallucinates confidently," one current FDA employee told CNN, describing the AI system known as Elsa (Efficient Language System for Analysis), which is supposed to speed up drug approvals. Several staff members reported that Elsa frequently invents studies or misrepresents research data - a well-known issue with large language models. The FDA's head of AI, Jeremy Walsh, acknowledged the problem: "Elsa is no different from lots of [large language models] and generative AI. They could potentially hallucinate."

Despite these risks, Elsa is already being used to review clinical protocols and assess risks during inspections. The system operates in a regulatory gray area, since there are currently no binding rules for AI in US healthcare.

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Google is rolling out new AI-powered features in the Google Photos app. With the new "Photo to video" tool, users can turn individual photos into short, six-second video clips with subtle motion effects. This feature is powered by Google's Veo 2 model and is launching now in the US on both Android and iOS. Another addition, the "Remix" function, lets users transform photos into anime, comics, or 3D animations. Remix will also launch in the US in the coming weeks. Both tools automatically mark generated content with a visible and invisible watermark to improve traceability. Google is also adding a new "Create" tab to the app, which collects all creative tools in one place. The tab will start rolling out to US users in August.

Video: Google

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