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Google is reportedly pitching its AI chips to data centers

Nvidia unquestionably dominates the current AI chip market, making the most popular GPUs to train and run today’s AI models.

But the companies paying hundreds of billions for those powerful GPUs are all working on their own custom chips.

Amazon has been iterating on its Trainium and Inferentia chips, promising favorable performance for the price. OpenAI has been quietly working on designs for its own chips, and even Microsoft is hedging its bets with its own AI chip design.

Today, The Information reports that Google has been reaching out to data center providers to get its own custom chips in racks to rent to customers. The company is shopping around its custom tensor processing units (TPUs) to cloud computing providers like CoreWeave, Crusoe, and Fluidstack, according to the report.

With Nvidia sitting comfortably at the top of the mountain, companies are looking to reduce their dependence on one supplier for the specialized hardware that powers their AI businesses.

But the companies paying hundreds of billions for those powerful GPUs are all working on their own custom chips.

Amazon has been iterating on its Trainium and Inferentia chips, promising favorable performance for the price. OpenAI has been quietly working on designs for its own chips, and even Microsoft is hedging its bets with its own AI chip design.

Today, The Information reports that Google has been reaching out to data center providers to get its own custom chips in racks to rent to customers. The company is shopping around its custom tensor processing units (TPUs) to cloud computing providers like CoreWeave, Crusoe, and Fluidstack, according to the report.

With Nvidia sitting comfortably at the top of the mountain, companies are looking to reduce their dependence on one supplier for the specialized hardware that powers their AI businesses.

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The most outlandish tech CEO quotes from 2025

Tech CEOs have been nuttier than ever.

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Trump AI executive order is a “major win” for Open AI, Google, Microsoft, and Meta, says Ives

President Trump’s new executive order aiming to keep states from enacting AI laws that inhibit US “global AI dominance” is a “major win” for OpenAI, Google, Microsoft, and Meta, according to Wedbush Securities analyst Dan Ives. Big Tech companies have collectively plowed hundreds of billions into the technology, while seeing massive stock price gains, and Ives believes they stand to gain much more.

“Given that there have been over 1,000 AI laws proposed at the state level, this was a necessary move by the Trump Administration to keep the US out in front for the AI Revolution over China,” Ives wrote, adding that state-by-state regulation “would have crushed US AI startup culture.” The presidential order would withhold federal funds from states that put in place onerous AI regulations.

This morning, Whitehouse AI adviser Sriram Krishnan said in a CNBC interview that he’d be working with Congress on a single national framework for AI.

Despite Ives’ rosy read-through on the order, with the exception of Nvidia, which jumped on a report of boosted Chinese demand, many AI stocks are in the red early today. The VanEck Semiconductor ETF is down nearly 1% premarket, as the AI trade struggles thanks to underwhelming earnings results from Oracle earlier this week.

“Given that there have been over 1,000 AI laws proposed at the state level, this was a necessary move by the Trump Administration to keep the US out in front for the AI Revolution over China,” Ives wrote, adding that state-by-state regulation “would have crushed US AI startup culture.” The presidential order would withhold federal funds from states that put in place onerous AI regulations.

This morning, Whitehouse AI adviser Sriram Krishnan said in a CNBC interview that he’d be working with Congress on a single national framework for AI.

Despite Ives’ rosy read-through on the order, with the exception of Nvidia, which jumped on a report of boosted Chinese demand, many AI stocks are in the red early today. The VanEck Semiconductor ETF is down nearly 1% premarket, as the AI trade struggles thanks to underwhelming earnings results from Oracle earlier this week.

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Rani Molla

Epic scores two victories as “Fortnite” returns to Google Play and appeals court keeps injunction against Apple

“Fortnite” maker Epic Games notched two wins Thursday in its drawn-out battle against Big Tech’s app stores. “Fortnite” returned to the Google Play app store in the US, Reuters reports, as Epic continues working with Google to secure court approval for their settlement.

Meanwhile, a US appeals court partly reversed sanctions against Apple in Epic’s antitrust case, calling parts of the order overly broad, but upheld the contempt finding and left a sweeping injunction in place — keeping pressure on Apple to allow developers to steer users to outside payment options and reduce its tight control over how apps can communicate and monetize on iOS.

tech
Jon Keegan

Report: AI-powered toys tell kids where to find matches, parrot Chinese government propaganda

You may want to think twice before buying your kids a fancy AI-powered plush toy.

A new report from NBC News found that several AI-powered kids toys could easily be steered to dangerous as well as sexually explicit conversations in a shocking demonstration of the loose safety guardrails in this novel category of consumer electronics.

A report out by the Public Interest Research Group details what researchers found when they tested five AI-powered toys for kids bought from Amazon. Some of the toys offered instructions on where to find matches and how to start fires.

NBC News also bought some of these toys and found they parroted Chinese government propaganda and gave instructions for how to sharpen knives. Some of the toys also discussed inappropriate topics for kids, like sexual kinks.

The category of AI-powered kids toys is under scrutiny as major AI companies like OpenAI have announced partnerships with toy manufacturers like Mattel (which has yet to release an AI-powered toy).

A report out by the Public Interest Research Group details what researchers found when they tested five AI-powered toys for kids bought from Amazon. Some of the toys offered instructions on where to find matches and how to start fires.

NBC News also bought some of these toys and found they parroted Chinese government propaganda and gave instructions for how to sharpen knives. Some of the toys also discussed inappropriate topics for kids, like sexual kinks.

The category of AI-powered kids toys is under scrutiny as major AI companies like OpenAI have announced partnerships with toy manufacturers like Mattel (which has yet to release an AI-powered toy).

tech
Jon Keegan

OpenAI releases GPT-5.2, the “best model yet for real-world, professional use”

After feeling the heat from Google’s recent launch of its powerful Gemini 3 model, OpenAI’s response to its “code red” has been released, reportedly on an accelerated schedule to keep up with the competition.

The company’s new flagship model, GPT-5.2, is out, and the company is calling it “the most capable model series yet for professional knowledge work.”

OpenAI CEO Sam Altman called it the “smartest generally-available model in the world” and shared benchmarks that showed it achieving higher scores than Gemini 3 Pro and Anthopic’s Claude Opus 4.5 in some software engineering tests and abstract reasoning, math, and science problems.

In a press release announcing the new model, the company said: “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision — making it better at executing complex, real-world tasks end-to-end than any previous model.”

OpenAI CEO Sam Altman called it the “smartest generally-available model in the world” and shared benchmarks that showed it achieving higher scores than Gemini 3 Pro and Anthopic’s Claude Opus 4.5 in some software engineering tests and abstract reasoning, math, and science problems.

In a press release announcing the new model, the company said: “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision — making it better at executing complex, real-world tasks end-to-end than any previous model.”

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