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 Google today said eligible college students in the United States can get a free year of Google AI Pro. Google AI Pro is normally priced at $19.99 per month, and it includes 4x higher usage limits in Gemini, access to Gemini Spark, Gemini in Google apps like Gmail and Google Docs, and 5TB of storage space.
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 Meta today launched a new ?Meta? AI app for the Mac, which is available in a beta capacity.
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The deal is significant for the artificial intelligence industry, uniting Stripe's payments business with OpenRouter's helping businesses direct their spending on A.I. models.
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OpenAI is tightening security controls and rethinking its Preparedness Framework as advanced AI models create new cyber risks and computing costs.
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The new Google Pixel 11 Pro XL doesn't dramatically reinvent the company's flagship smartphone formula. From a hardware perspective, this year's model represents an incremental update. But after spending time with Google's latest full-featured Pixel, I've found that some of its most meaningful improvements for business users aren't necessarily the things that stand out on a spec sheet or benchmark chart.
Starting at $1,299 with 256GB of storage, the Pixel 11 Pro XL features a 6.8-in. Super Actua LTPO OLED display, Google's new Tensor G6 processor, a 5115mAh battery and an updated triple-camera system. Google also pledges seven years of operating system, Android security and Pixel Drop updates.
The hardware is very good, but Google's deeper integration of Gemini with Android and other thoughtful software features are what make this device more interesting.
Tensor G6 performance: The numbers don't tell the whole story
Google's Tensor processors have never been benchmark chart-toppers, and the Tensor G6 doesn't change that. In Geekbench 6, the Pixel 11 Pro XL scored 2,736 single-core and 7,399 multi-core numbers. That's a healthy improvement over the Pixel 10 Pro XL's 2,326 and 6,413, respectively, but well behind devices like Samsung's Galaxy S26 Ultra (at 3,683 and 11,243) powered by Qualcomm's latest SoCs.
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Stripe reportedly agreed to buy OpenRouter for more than $7 billion, highlighting the growing value of AI model gateways and infrastructure.
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Google has paid $10 million in a bankruptcy auction for a large amount of data from the defunct Spirit Airlines, Bloomberg Law reports.
The purchase includes 100 million emails, 500 million messages, data from Microsoft Teams, as well as information on revenue, flight operations, marketing, personnel, and project management. The material also includes 30 million lines of program code, development data, and various software models and algorithms, as well as pricing data from 7.2 billion competing flights and approximately 7.5 billion passenger transactions.
No personal data will be included in the deal, and according to Google, a third party will review the material and remove any information that could identify individuals. Google said the data will then be used to improve the company's products and AI models.
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OpenAI president Greg Brockman on Sunday warned enterprise CISOs that they need to more aggressively embrace agents if they want to survive upcoming cyberattacks.
Brockman said in a blog post that it has become "increasingly clear" that company systems are hiding "significant flaws, and defenders need to find and fix them before attackers do."
He added: "The Hugging Face incident showed that we underestimated the real-world cyber capabilities of our AI models."
The details he shared about OpenAI's current defensive efforts, however, were mostly routine best practices familiar to enterprises.
"We continue to invest in secure architecture and controls, embrace strategies like defense in depth and least privilege, and are designing systems that require multiple independent controls to fail simultaneously for something catastrophic to occur," Brockman said. "Classic security controls like network isolation, workload hardening, monitoring, and safe patching and deployment will be more important than ever in the AI future."
To combat emerging threats, Brockman also advised enterprise CISOs to increase their use of agentic systems, not surprisingly recommending those from OpenAI.
"Give your securit
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Toothless limitations aren't a great look for Flock's modern surveillance.
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Meta rolled out a new 30-billion-parameter AI model optimized to run on a PC or Mac with a single GPU on Monday, offering a way to run always-on agentic workflows locally rather than relying on the cloud.
The company has dubbed it Muse Glimmer. However, its hardware demands, including a GPU with a minimum of 24GB of VRAM, could make it difficult to justify for deployment at scale.
Although analysts and consultants agree that there is a tremendous enterprise appetite for running models locally, determining whether switching more systems from cloud to local makes fiscal sense is much more complex.
The hardware costs are tricky to calculate even today, with the VRAM needed depending on the particular applications to be run. But the far bigger consideration is that there is no way to determine what RAM costs will look like over the next 12-18 months, and there is an identical lack of visibility into how cloud prices might increase during the same timeframe.
That makes determining the better financial choice impossible.
Agents become capex, not opex
Noah Kenney, principal consultant at Digital 520, noted that since RAM costs have increased "exponentially" over the last 12 months, cloud AI providers are also going to have to increase their prices. Beyond that, IT needs to anticipate logistical is
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New details of how ChatGPT maker OpenAI failed to notice that its models had launched a hacking spree raise questions about the industry's approach to safety.
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DeepSeek invests $20.8 million in Unitree's Shanghai IPO, deepening a partnership to develop AI models and applications for humanoid robots in China.
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Built using W&B Weave, ARIA turns experiment data into continuous model and agent improvement
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