Google races to compete with Pinterest with new "For You" gallery

Google (NASDAQ: GOOG) finds itself at the center of three major tech stories this week, revamping how people search for images, getting hit with a copyright lawsuit over its AI models, and having its top AI executive push for a new government-backed body to regulate artificial intelligence.

Twenty-five years after Google Images first launched, the company is giving it a major facelift, one that looks a lot like Pinterest. In this update, the user is greeted with “For You” sections with relevant images based on interests and browsing history.

Just like Pinterest, the feed keeps on displaying new content from across the web, a format not too unique.

Users can save the images in the folders on the platform rather than having to download them like before. This will make people use Google for longer periods, eventually boosting the advertising business.

The redesign is expected to roll out in the coming weeks for desktop users in the United States browsing in English. A Google account sign-in is required to access the new features.

What’s different from Pinterest is that Google is also allowing AI image creation in the Search.

Using its Nano Banana model, users will be able to type a description and receive a custom-made image. The tool is aimed at cases where someone has a very specific visual in mind that simply does not exist anywhere online, like picturing a bedroom repainted in a certain color or imagining a college dorm decorated in a coastal style.

The feature will begin rolling out in the coming weeks across all regions that already support image creation in AI Mode.

Google DeepMind Chief wants a U.S. led AI regulator

Demis Hassabis, who leads Google DeepMind and is a Nobel laureate, posted an article on X on Tuesday calling on the United States to take charge in building an oversight body for artificial intelligence.

Hassabis warned that the stakes are high. “We’ve already seen the challenges frontier models pose for cybersecurity, and other threats including nuclear and bio risks may soon emerge as capabilities continue to advance,” he wrote, stressing that “urgent action” was needed.

He proposed a government-supervised public-private partnership, comparing it to the Financial Industry Regulatory Authority, or FINRA, which oversees brokerage firms and exchange markets.

The board, he suggested, should include independent technical experts and open-source community members. Funding would likely come from the industry itself, though Hassabis said the body would need “substantial” financial backing to hire top talent and run large-scale model testing.

Under the proposal, AI companies would initially share their models with the body for voluntary review up to 30 days before release, with mandatory review eventually required for any model deployed in the U.S. market.

His comments follow a G7 meeting last month, reported by Cryptopolitan previously, where Hassabis and Anthropic CEO Dario Amodei reportedly urged world leaders, including President Donald Trump, to form a U.S.-led coalition around AI standards. OpenAI’s Sam Altman made a similar call in an article published by the Financial Times earlier this month.

The push for oversight comes as Chinese AI companies, including DeepSeek and Z[.]ai, are drawing attention from U.S. businesses. Lawmakers are now examining how to limit the domestic spread of Chinese AI tools, a trend that the State Department has said raises “serious concerns.”

Publishers sue Google over AI training data

Meanwhile, a group of major publishers and authors filed a class action lawsuit against Google in the U.S. District Court for the Southern District of New York. Hachette Book Group, Cengage Learning, Elsevier, and author Scott Turow are among the plaintiffs, alleging that Google used copyrighted books to train its Gemini AI models without permission.

The lawsuit claims Google took books that publishers had provided for the Google Books project, which was only allowed to show brief text excerpts. and used that material to build AI tools that now compete with those same publishers.

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