An anonymous reader quotes a report from 9to5Google: There's been a lot of pushback in recent months around the impact of AI data centers on local communities, with the use of water being a key issue for many. Google, in an expansion of its "water stewardship" programs, is making commitments that include replenishing more water than it uses at its data center sites. AI data centers go through a lot of water use in cooling the hardware used to power models, and Google is no exception. While Google stands by saying that the impact of AI data centers on U.S. water consumption is "small," it also says it is focusing on "protecting local water resources in all aspects of our data center operations." In a post, Google explains five new commitments regarding water use at its data centers in the U.S. These include replenishing more water than is consumed at data centers, helping local utilities to modernize water infrastructure, using air-cooled solutions in areas where watersheds are at risk, "transparently" reporting water use at data centers, and focusing on "alternative and reclaimed" water solutions. [...] In a linked paper (PDF), Google says it will replenish 120% of the water it uses at data center sites by 2030. Google is also committing $17 million to new water stewardship projects in Georgia, Iowa, Michigan, Minnesota, Missouri, Nebraska, and Texas in addition to 165 other projects already in place throughout the U.S.

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An anonymous reader quotes a report from Ars Technica: UK regulators today ordered (PDF) Google to put clearer attributions and links to publishers' content in its AI-generated search features. The UK's Competition and Markets Authority (CMA) also said Google must give publishers a way to opt out of AI features in search. "In a world first, publishers will now have effective tools to prevent their content being used to power AI features in search, such as AI Overviews," the CMA said today. "This will put publishers, like news organizations, in a stronger position to negotiate content deals with Google. To boost consumer trust, Google is also now required to make sure that publisher content is properly attributed, using clear links, in AI-generated search results." The CMA ruled that Google may not penalize publishers for opting out of AI, meaning that Google can't downrank opted-out publishers in general search results. The CMA said Google will have nine months to comply with all requirements but that the agency "expects important parts of the controls to become available to publishers well before that deadline. Google will also be required to submit and publish compliance reports, supported by key data and metrics, explaining changes it has made and how it has complied." [...] The CMA applied the rules to Google after determining that it has "strategic market status" in general search services, and has ongoing investigations into Apple and Microsoft. Google today said it will comply with the CMA decision. The News Media Association, a trade group in the UK, said that "the legally enforceable Conduct Requirements for Google Search published today are a significant step towards leveling the playing field and building a fair, transparent digital economy where premium content is properly respected and fairly compensated." The group called on the UK to implement "robust enforcement."

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Google has launched Gemma 4 12B, a 12-billion-parameter open AI model designed to run locally on your laptop without depending entirely on cloud infrastructure. WION reports: According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centers. Gemma is Google's family of open AI models built using technology and research from its Gemini program. The new Gemma 4 12B model contains 12 billion parameters and has been designed to handle multiple types of information, including text, images and audio. Unlike traditional AI systems that focus only on text, Gemma 4 12B can understand visual content, process audio inputs and perform advanced reasoning tasks. This makes it suitable for a wider range of applications, from software development and content creation to research and automation. Google says the model is available under the Apache 2.0 licence, allowing developers and organizations to use, modify and deploy it with relatively few restrictions. [...] One of the most significant technical changes in Gemma 4 12B is its new unified architecture. Traditionally, multimodal AI systems use separate components known as encoders to process images, audio and text before combining the information. Google says Gemma 4 12B removes the need for separate multimodal encoders. Instead, the model processes different types of information through a unified architecture. According to the company, this helps improve efficiency while reducing memory requirements and computational overhead. The result is a model that can deliver advanced multimodal capabilities while remaining small enough to run locally on modern hardware.

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Google has released (PDF) technical specs and 2D CAD drawings for the Fitbit Air to encourage users to make their own accessories. "These CAD drawings include crucial mating dimensions, tolerances, and mating force specifications -- including attach and detach force -- to help you build a high-quality accessory band," Google says on a store page listing. 9to5Google reports: Noting how the "community has already come up with innovative and creative new ideas to make the Fitbit Air [their] own" since launch last month, Google is "officially releasing the hardware specifications and accessory design guidelines for the Fitbit Air tracker to the public." For example, owners have already found their own bicep band solutions. This information would typically just be available for third-party accessory companies, but Google wants to open things up to "independent designers and artisan makers." The Google Store page also lists other things developers should keep in mind, such as sensor clearance, sensor pressure, secure retention, and skin-friendly materials.

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Apple is reportedly working to shrink Google's Gemini models enough to power parts of a long-delayed AI-enhanced Siri on iPhones. But despite Apple's best efforts to run the AI locally, "the iPhone's Gemini makeover will lean heavily on Google and Nvidia in the cloud," reports Ars Technica. That could complicate Apple's privacy-first AI messaging, especially if more complex Siri requests are routed through Google infrastructure and Nvidia's encrypted cloud-computing platform. Ars Technica reports: After inking the Google deal, Apple apparently got to work distilling Google's giant cloud-based Gemini models. Distillation is a process in which a small, less resource-intensive model learns to mimic a large, expensive one. With enough time, this can reliably transfer useful capabilities while pruning less important weights from the model. That may enable Siri to handle some tasks with private local compute, but a cloud component looks inevitable. Processing users' AI data in the cloud could be a problem for Apple. At WWDC, the company will probably promote its years of experience designing chips and how well that positions it for AI. However, The Information claims that Apple has struggled to even get Google's massive undistilled Gemini models running on its custom Private Cloud Compute infrastructure, which is built on on M-series Mac chips. When the smarter Siri rolls out, it will probably route more complex tasks to Google's cloud infrastructure instead of Apple's, but it won't be running on Google TPUs. Apple has reportedly signed a deal with Nvidia to use its Confidential Computing platform for this purpose. Confidential Computing keeps data encrypted on Nvidia GPUs while it's being processed in the cloud, which could help Apple claim it's still sensitive to user privacy concerns. It might even retain its own Private Cloud Compute branding for the system. The iPhone probably won't tell you which version of Gemini is handling individual Siri requests. Device makers designing hybrid systems that rely on local and cloud-based AI like to talk about making the experience feel "seamless." There might be clues, though.

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An anonymous reader quotes a report from CNBC: Federal prosecutors charged a Google employee with fraud on Wednesday, alleging that he made $1.2 million off of bets using insider information on Polymarket. Prosecutors claim that Michele Spagnuolo, a staff information security engineer at Google, used confidential information to place trades correctly betting that singer d4vd would be Google's most searched person in 2025. Spagnuolo has been charged with money laundering, commodities fraud and wire fraud. The complaint, filed in the Southern District of New York, was unsealed on Wednesday. Spagnuolo was arrested Wednesday morning in New York, ABC reported. "Spagnuolo had access to Google's internal data systems, including a particular Google internal software tool that provided him access to confidential, nonpublic Year in Search data," the prosecutors said in their complaint. Some observers of the Polymarket platform flagged the user "AlphaRaccoon" back in December for suspicious trades on the most searched person contracts. The complaint Wednesday said that Spagnuolo was the person behind that account. "Google officially and publicly announced its Year in Search 2025 results on or about December 4, 2025. Soon after it did so, Spagnuolo's AlphaRaccoon account, profited approximately $1.2 million on his Google Year in Search 2025-related bets," the complaint said. [...] Spagnuolo is also facing a civil case from the Commodity Futures Trading Commission, where he's charged with insider trading. The complaint detailed that Spagnuolo correctly predicted the outcomes of a slew of other search markets, including contracts like "Will Zohran Mamdani rank in the Top 5 most searched" and "Will Squid Game be the #1 searched TV show." "Spagnuolo misappropriated the material Confidential Information by knowingly or recklessly using it to trade the 2025 Year in Search List Contracts in breach of his duties of trust and confidentiality," the CFTC complaint alleged.

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Aikido Security found that deleted Google API keys can continue authenticating for a median of about 16 minutes and as long as 23 minutes, despite Google Cloud's UI claiming that once a key is deleted it can no longer make API requests. Dark Reading reports: Joe Leon, researcher at Belgian startup Aikido Security, recently analyzed the revocation window -- the time between a key's deletion and its last successful authentication -- for the cloud giant's API keys. In a blog post published today, Leon said Google Cloud Platform (GCP) customers expect API access to end immediately after the key is deleted, but this is not the case. In a series of tests, Leon found that the median revocation window was around 16 minutes, while the longest window was up to 23 minutes, "an incredibly long time" for API keys to continue authenticating successfully, he said. And these windows have serious repercussions for organizations. "An attacker holding your deleted key can keep sending requests until one reaches a server that has not caught up. If Gemini is enabled on the project, they can dump files you have uploaded and exfiltrate cached conversations," Leon said. "The GCP console will not show the key, and it will not tell you the key is still working. You are trusting Google's infrastructure to eventually catch up." [...] Leon tells Dark Reading the revocation windows for Google's API keys, as well as the unpredictable authentication success rates, complicate matters for incident response teams that are dealing with a potential breach. "This breaks the mental model IR teams have when responding to leaked credentials," he says. "It's assumed that when you click 'Delete' or 'Revoke' that the credential no longer works. Now IR teams need to remember that for GCP credentials, a window exists when that 'Deleted' credential still works for attackers." To that end, Aikido recommended that security teams and IR personnel use a 30-minute window for Google API key deletions. Additionally, organizations should monitor their API requests by credential through the "Enabled APIs and services" portion of the GCP console, and review API requests by credential. "If you see unexpected usage from that credential after deletion, someone could be actively exploiting it," Leon wrote. Aikido reported the findings to Google, but the company closed the report as "won't fix," according to the blog post.

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Google is again pressuring some longtime G Suite Legacy users to move onto paid Workspace plans, warning that accounts flagged as "commercial use" could lose access to Gmail, Drive, Calendar, and other services if appeals fail. "The trouble, according to users, is that the appeals system appears about as transparent as a brick," adds The Register. From the report: A reader alerted The Register to what appears to be a new crackdown on long-standing G Suite Legacy accounts, with similar complaints now piling up on Reddit from users accused of violating Google's non-commercial use policy, despite insisting they use the accounts only for family email and personal domains. Reports have been stacking up on Reddit's r/gsuitelegacymigration subreddit from users who say their long-running personal G Suite Legacy accounts are suddenly being classified as "commercial use" accounts and pushed toward paid Google Workspace plans by May 2026. A lot of users have been through this before. Google spent part of 2022 trying to wind down free G Suite Legacy accounts, then changed course after users running family domains made enough noise. Now some of those same users are being told they have fallen outside Google's rules after all. Emails seen by The Register warn users their accounts have been "identified as being used for commercial purposes" and say Google may start suspending Gmail, Calendar, Drive, Meet, and other Workspace services if they do not either win an appeal or begin paying for Workspace subscriptions. "Please upgrade to a paid Google Workspace subscription to continue using your services. Look out for a notification regarding the appeal process in Google Admin console or email," the email reads. "If you don't take action during your 45-day appeal period, Google will begin suspending your Google Workspace core services, including Gmail, Calendar, Drive, and Meet. As a result, you will lose access to these core services and data." One wrongly-flagged user said the company reversed its decision after they filed a GDPR data request seeking evidence. Others were less fortunate, with some reporting that family-only custom domains were permanently classified as commercial despite failed appeals.

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Google has confirmed it is testing a 5GB storage limit for some new Gmail accounts, with users able to unlock the standard 15GB by adding a phone number. Android Authority reports: While the company didn't mention which regions are impacted, user reports from yesterday were mostly from African countries. That said, if Google's tests prove successful, this could possibly become the norm for new sign-ups in more regions. The company could be testing ways to discourage users from creating multiple Gmail accounts to access free cloud storage. However, if you already have a Gmail account with 15GB free storage, it shouldn't be impacted by this change. The language on Google's support page mentions "up to 15GB of storage." However, it's a recent change. An archived version of the support page from February did not use the words "up to." Whether the test has been running since early March or Google updated its language before it ever started the test, it's evident that the company could roll out the change globally as well.

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An anonymous reader quotes a report from Ars Technica: Wearables have really come full circle. The early Fitbits didn't have screens, but the move to smartwatches put a screen on everyone's wrist. Now, devices like Whoop and Hume are designed as data trackers first and foremost without so much as a clock. Google's newest wearable jumps on that trend: The Fitbit Air doesn't have a screen, but it does have a suite of health sensors that pipe data into the new Google Health app. And if you want, Google has a new AI-powered health coach in the app ready to tell you what that data means (maybe). The Fitbit Air itself is a small plastic puck about 1.4 inches long and 0.7 inches wide. It slots into various bands that hold the bottom-mounted sensors against your wrist. There's no display pointing upward, so the entire device is covered by the fabric or plastic of the band. It's a streamlined and potentially stylish look -- in uncharacteristic fashion, Google has plenty of colors and style options available, including a special-edition Steph Curry version. You may have heard chatter about Curry being seen teasing a new screenless Fitbit, and this is it. [...] The Fitbit app is getting a major makeover and a new name. An update in the coming weeks will transform that app into Google Health, featuring a new interface with a more extensive Material Expressive aesthetic and redesigned menus and tabs. You also won't see Fitbit branding in as many places -- the Fitbit Premium subscription will become Google Health Premium. Without a subscription, the app still does all the basic things, like tracking your health stats, automatically logging workouts, and showing it all in a pretty dashboard. With the Premium subscription, you get all the features from Fitbit Premium plus the new AI Health Coach. It's a chatbot, so you can ask it about any health or wellness topics, and the answers are grounded in your health data. The Fitbit Air launches May 26 for $99.99, includes a Performance Loop band, and comes with three months of the new Google Health Premium that replaces Fitbit Premium and adds Google's AI Health Coach. Meanwhile, Google Health Premium will cost $10 per month or $100 per year, though it's included with AI Pro or AI Ultra. Non-subscribers can still use basic tracking features. Ars also notes that when Google Fit shuts down later this year, users will need to migrate their data to Google Health.

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Google plans to invest up to $40 billion more in Anthropic, starting with $10 billion now and another $30 billion tied to performance milestones. CNBC reports: Anthropic said the agreement expands on a longstanding partnership between the two companies. Earlier this month, Anthropic secured 5 gigawatts worth of computing capacity as part of an announcement with Google and Broadcom that will start to come online next year. Anthropic could decide to add additional gigawatts of compute in the future. [...] The relationship between the two companies (Google and Anthropic) dates back to 2023, when Google invested $300 million in the AI lab for a stake of about 10%. Months later, Google poured in another $2 billion. Ahead of Friday's announcement, Google's investment in Anthropic exceeded $3 billion, and it reportedly owned a 14% stake in the company. Now, the leading tech companies are investing tens of billions of dollars in the frontier AI labs -- OpenAI and Anthropic -- in funding rounds that far exceed any prior investments in startups. Much of that investment will return in the form of revenue.

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Google announced two new tensor processing units (TPUs) for the "agentic era," with separate processors dedicated to training and inference. "With the rise of AI agents, we determined the community would benefit from chips individually specialized to the needs of training and serving," Amin Vahdat, a Google senior vice president and chief technologist for AI and infrastructure, said in a blog post. Both chips will become available later this year. CNBC reports: After years of producing chips that can both train artificial intelligence models and handle inference work, Google is separating those tasks into distinct processors, its latest effort to take on Nvidia in AI hardware. [...] None of the tech giants are displacing Nvidia, and Google isn't even comparing the performance of its new chips with those from the AI chip leader. Google did say the training chip enables 2.8 times the performance of the seventh-generation Ironwood TPU, announced in November, for the same price, while performance is 80% better for the inference processor. Nvidia said its upcoming Groq 3 LPU hardware will draw on large quantities of static random-access memory, or SRAM, which is used by Cerebras, an AI chipmaker that filed to go public earlier this month. Google's new inference chip, dubbed TPU 8i, also relies on SRAM. Each chip contains 384 megabytes of SRAM, triple the amount in Ironwood. The architecture is designed "to deliver the massive throughput and low latency needed to concurrently run millions of agents cost-effectively," Sundar Pichai, CEO of Google parent Alphabet, wrote in a blog post.

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An anonymous reader quotes a report from Bloomberg: At Google, leaders are anxious about falling behind in the race to offer AI coding tools, especially as rivals like Anthropic PBC offer more effective and popular tools to businesses, according to people familiar with the matter. The search giant is now working to unite some of its coding initiatives under one banner to speed progress and take advantage of a surge in customer interest. In some corners of Alphabet's Google, particularly AI lab DeepMind, concerns about the company's position are mounting, according to current and former employees and executives, who declined to be named because they weren't authorized to speak publicly. Businesses are just starting to realize that AI coding tools can enable anyone to build products by prompting a chatbot. But Google doesn't have a clear solution for them. Its Gemini model's capabilities are sprinkled across half a dozen different coding products with different branding, indicating how the company's lack of focus and competing internal efforts have hampered success, the people said. Even internally, some Google engineers prefer to use Anthropic's Claude Code, they said. More concerning, the people said, are the engineers who are struggling to adopt AI coding at all. [...] Google's emphasis on its own technology has also complicated the push to catch up. Most employees are banned from using competing tools such as Claude Code or Codex due to security concerns, but Googlers can request exceptions if they can demonstrate they have a business case, one former employee said. Some teams at DeepMind, including those working on the Gemini model, internal applications, and open source models, use Claude Code, according to three former employees. "You want the best people to use the best tool, even inside Google," one of the former employees said. [...] In recent years, DeepMind has tried to tighten control over how its AI breakthroughs are woven into Google products. Last year, Google appointed Kavukcuoglu to a new position as chief AI architect, a role in which he is charged with folding generative AI into Google products. Yet confusion about who is leading the charge on AI coding persists. Along with DeepMind, Google Cloud, Google Core, Google Labs and Android are all pushing AI coding in different ways, one of the people said. [...] Within the Googleplex, there is a philosophical clash between AI researchers who want to move as quickly as possible and more traditional senior engineers who have exacting standards for code quality, former employees say. AI usage is factored into performance reviews, according to a former employee. But engineers who try to use internal AI coding tools often hit capacity constraints due to competition for computing power, the former employee said.

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