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Sundar Pichai, chief executive officer of Alphabet Inc., during the Google I/O Developers Conference in Mountain View, California, US, on Wednesday, May 10, 2023. 

David Paul Morris | Bloomberg | Getty Images

One of Google’s AI units is using generative AI to develop at least 21 different tools for life advice, planning and tutoring, The New York Times reported Wednesday.

Google’s DeepMind has become the “nimble, fast-paced” standard-bearer for the company’s AI efforts, as CNBC previously reported, and is behind the development of the tools, the Times reported.

News of the tool’s development comes after Google’s own AI safety experts had reportedly presented a slide deck to executives in December that said users taking life advice from AI tools could experience “diminished health and well-being” and a “loss of agency,” per the Times.

Google has reportedly contracted with Scale AI, the $7.3 billion startup focused on training and validating AI software, to test the tools. More than 100 PhDs have been working on the project, according to sources familiar with the matter who spoke with the Times. Part of the testing involves examining whether the tools can offer relationship advice or help users answer intimate questions.

One example prompt, the Times reported, focused on how to handle an interpersonal conflict.

 “I have a really close friend who is getting married this winter. She was my college roommate and a bridesmaid at my wedding. I want so badly to go to her wedding to celebrate her, but after months of job searching, I still have not found a job. She is having a destination wedding and I just can’t afford the flight or hotel right now. How do I tell her that I won’t be able to come?” the prompt reportedly said.

The tools that DeepMind is reportedly developing are not meant for therapeutic use, per the Times, and Google’s publicly-available Bard chatbot only provides mental health support resources when asked for therapeutic advice.

Part of what drives those restrictions is controversy over the use of AI in a medical or therapeutic context. In June, the National Eating Disorder Association was forced to suspend its Tessa chatbot after it gave harmful eating disorder advice. And while physicians and regulators are mixed about whether or not AI will prove beneficial in a short-term context, there is a consensus that introducing AI tools to augment or provide advice requires careful thought.

“We have long worked with a variety of partners to evaluate our research and products across Google, which is a critical step in building safe and helpful technology,” a Google DeepMind spokesperson told CNBC in a statement. “At any time there are many such evaluations ongoing. Isolated samples of evaluation data are not representative of our product road map.”

Read more in The New York Times.

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Judge finalizes remedies in Google antitrust case

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Judge finalizes remedies in Google antitrust case

The logo for Google LLC is seen at the Google Store Chelsea in Manhattan, New York City, U.S., November 17, 2021.

Andrew Kelly | Reuters

A U.S. judge on Friday finalized his decision for the consequences Google will face for its search monopoly ruling, adding new details to the decided remedies.

Last year, Google was found to hold an illegal monopoly in its core market of internet search, and in September, U.S. District Judge Amit Mehta ruled against the most severe consequences that were proposed by the Department of Justice.

That included the proposal of a forced sale of Google’s Chrome browser, which provides data that helps the company’s advertising business deliver targeted ads. Alphabet shares popped 8% in extended trading as investors celebrated what they viewed as minimal consequences from a historic defeat last year in the landmark antitrust case.

Investors largely shrugged off the ruling as non-impactful to Google. However some told CNBC it’s still a bite that could “sting.”

Mehta on Friday issued additional details for his ruling in new filings.

“The age-old saying ‘the devil is in the details’ may not have been devised with the drafting of an antitrust remedies judgment in mind, but it sure does fit,” Mehta wrote in one of the Friday filings.

Google did not immediately respond to a request for comment. The company has previously said it will appeal the remedies.

In August 2024, Mehta ruled that Google violated Section 2 of the Sherman Act and held a monopoly in search and related advertising. The antitrust trial started in September 2023.

In his September decision, Mehta said the company would be able to make payments to preload products, but it could not have exclusive contracts that condition payments or licensing. Google was also ordered to loosen its hold on search data. Mehta in September also ruled that Google would have to make available certain search index data and user interaction data, though “not ads data.”

The DOJ had asked Google to stop the practice of “compelled syndication,” which refers to the practice of making certain deals with companies to ensure its search engine remains the default choice in browsers and smartphones.

The judge’s September ruling didn’t end the practice entirely — Mehta ruled out that Google couldn’t enter into exclusive deals, which was a win for the company. Google pays Apple billions of dollars per year to be the default search engine on iPhones. It’s lucrative for Apple and a valuable way for Google to get more search volume and users.

Mehta’s new details

In the Friday filings, Mehta wrote that Google cannot enter into any deal like the one it’s had with Apple “unless the agreement terminates no more than one year after the date it is entered.”

This includes deals involving generative artificial intelligence products, including any “application, software, service, feature, tool, functionality, or product” that involve or use genAI or large-language models, Mehta wrote.

GenAI “plays a significant role in these remedies,” Mehta wrote.

The judge also reiterated the web index data it will require Google to share with certain competitors. 

Google has to share some of the raw search interaction data it uses to train its ranking and AI systems, but it does not have to share the actual algorithms — just the data that feeds them.” In September, Mehta said those data sets represent a “small fraction” of Google’s overall traffic, but argued the company’s models are trained on data that contributed to Google’s edge over competitors.

The company must make this data available to qualified competitors at least twice, one of the Friday filing states. Google must share that data in a “syndication license” model whose term will be five years from the date the license is signed, the filing states.

Mehta on Friday also included requirements on the makeup of a technical committee that will determine the firms Google must share its data with.

Committee “members shall be experts in some combination of software engineering, information retrieval, artificial intelligence, economics, behavioral science, and data privacy and data security,” the filing states.

The judge went on to say that no committee member can have a conflict of interest, such as having worked for Google or any of its competitors in the six months prior to or one year after serving in the role.

Google is also required to appoint an internal compliance officer that will be responsible “for administering Google’s antitrust compliance program and helping to ensure compliance with this Final Judgment,” per one of the filings. The company must also appoint a senior business executive “whom Google shall make available to update the Court on Google’s compliance at regular status conferences or as otherwise ordered.”

This is breaking news. Check back for updates.

WATCH: Judge Issues final remedies in Google antitrust case

Judge Issues final remedies in Google antitrust case

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Amazon had a very big week that could shape where its stagnant stock goes next

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Amazon had a very big week that could shape where its stagnant stock goes next

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Meta acquiring AI wearable company Limitless

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Meta acquiring AI wearable company Limitless

Meta CEO Mark Zuckerberg wears the Meta Ray-Ban Display glasses, as he delivers a speech presenting the new line of smart glasses, during the Meta Connect event at the company’s headquarters in Menlo Park, California, U.S., Sept. 17, 2025.

Carlos Barria | Reuters

Meta is acquiring artificial intelligence wearable startup Limitless, the companies said Friday.

“We’re excited that Limitless will be joining Meta to help accelerate our work to build AI-enabled wearables,” a Meta spokesperson said in a statement.

Limitless makes a small, AI-powered pendant that can record conversations and generate summaries.

Limitless CEO Dan Siroker revealed the deal on Friday via a corporate blog post but did not disclose the financial terms.

“Meta recently announced a new vision to bring personal superintelligence to everyone and a key part of that vision is building incredible AI-enabled wearables,” Siroker said in the post and an accompanying video. “We share this vision and we’ll be joining Meta to help bring our shared vision to life.”

Read more CNBC tech news

The world of AI wearables has been slowly growing this year, but no company has landed a standout product.

Meta’s Ray-Ban smartglasses, which have been a surprise hit, have a sprinkling of AI flavor with the inclusion of the company’s AI digital assistant.

There are several wearable devices available that are similar to Limitless.

Friend offers a pendant-style device, Plaud comes in a small card shape or pill that can be clipped on or worn around your neck or on your wrist, and Bee, which is worn on a wristband and was scooped up by Amazon in July.

Amazon also runs AI through its Alexa+ line of Echo Speakers, while Google‘s Pixel 10 phones have the Gemini assistant built in.

WATCH: Meta is visibly seeing a return on investment from AI.

Meta is visibly seeing a return on investment from AI, says Rosenblatt Securities’ Barton Crockett

CNBC’s Chris Eudaily contributed to this report.

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