An anonymous reader quotes a report from Ars Technica: After sending cease-and-desist letters to VMware users whose support contracts had expired and who subsequently declined to subscribe to one of Broadcom's VMware bundles, Broadcom has started the process of conducting audits on former VMware customers. [...] Ars Technica reviewed a letter that a software provider and VMware user in the Netherlands received that is dated June 20 and informs the firm that it "has been selected for a formal audit of its use of VMware software and support services" [PDF]. The security professional who provided Ars with the letter asked to keep their name and their employers' name anonymous out of privacy concerns.

The anonymous employee told Ars that their company had been a VMware customer for "about" a decade before deciding not to sign up for a new contract with Broadcom's VMware a year ago. The company had been using VMware Cloud Foundation and vSphere. "Our CEO decided to not extend the support contract because of the costs," the employee said. "This already impacts us security-wise because we can no longer get updates (unless the CVSS score is critical)." The letter notes that an auditing firm, Connor Consulting, which is headquartered in San Francisco and has offices around the globe, will perform a review of the company's "VMware deployment and entitlements, which may include fieldwork or remote testing and meetings with members of your accounting, licensing, and management information systems functions." The letter informs its recipient that someone from Connor will reach out and that the VMware user should respond within three business days.

The letter, signed by Aiden Fitzgerald, director of global sales operations at Broadcom, claims that Broadcom will use its time "as efficiently and productively as possible to minimize disruption." Still, the security worker that Ars spoke with is concerned about the implications of the audit and said they "expect a big financial impact" for their employer. They added: "Because we are focusing on saving costs and are on a pretty tight financial budget, this will likely have impact on the salary negotiations or even layoffs of employees. Currently, we have some very stressed IT managers [and] legal department [employees] ..." The employee noted that they are unsure if their employer exceeded its license limits. If the firm did, it could face "big" financial repercussions, the worker noted.

Accenture is facing mounting challenges as AI threatens to disrupt the consulting industry the company helped build. The Dublin-based firm, which made its fortune advising clients on adapting to new technologies from the internet to cloud computing, now confronts the same predicament as generative AI reshapes business operations.

The company's new generative AI contracts slowed to $100 million in the most recent quarter, down from $200 million per quarter last year. Technology partners including Microsoft and SAP are increasingly integrating AI directly into their offerings, allowing systems to work immediately without extensive consulting support. Newcomers like Palantir are embedding their own engineers with customers, enabling clients to bypass traditional consultants.

Between 2015 and 2024, Accenture generated a 370% total return by helping companies navigate technological transitions. The firm reached a $250 billion valuation in February before losing $60 billion in market value. CEO Julie Sweet insists that the company is reorganizing around "reinvention services." A recent survey found 42% of companies abandoned most AI initiatives, up from 17% a year ago.

U.S. lawmakers have reintroduced the bipartisan Open App Markets Act, aiming to curb Apple and Google's control over mobile app stores by promoting competition, supporting third-party marketplaces and sideloading, and safeguarding developer rights. AppleInsider reports: The Open App Markets Act seeks to do a number of things, including:
- Protect developers' rights to tell consumers about lower prices and offer competitive pricing;
- Protect sideloading of apps;
- Promote competition by opening the market to third-party app stores, startup apps, and alternative payment systems;
- Make it possible for developers to offer new experiences that take advantage of consumer device features;
- Give consumers greater control over their devices;
- Prevent app stores from disadvantaging developers; and
- Establish safeguards to preserve consumer privacy, security, and safety.

This isn't the first time we've seen this bill, either. In 2021, Senators Blumenthal, Klobuchar, and Blackburn had attempted to put forth the original version of the Open App Markets Act.However, the initial bill never made it to the floor for an office vote. Thanks to last-minute efforts by lobbying groups and appearances from chief executives, the bill eventually stalled out.

While the two bills are largely similar, the revised version introduces several key differences. Notably, the new version includes new carve-outs aimed at protecting intellectual property and addressing potential national security concerns.There's also a new clause that would prohibit punitive actions against developers for enabling remote access to other apps. The clause addition harkens back to the debacle between Apple and most game streaming services -- though in 2024, Apple loosened its App Store guidelines to allow cloud gaming and emulation.

There are a few new platform-protective clauses added, too. For instance, it would significantly lower the burden of proof for either Apple or Google to block platform access to a third-party app.Additionally, it reinforces the fact that companies like Apple or Google will not need to provide support or refunds for third-party apps installed outside of first-party app marketplaces. The full bill can be found here.

Google DeepMind has launched Gemini Robotics On-Device, a new language model that enables robots to perform complex tasks locally without internet connectivity. TechCrunch reports: Building on the company's previous Gemini Robotics model that was released in March, Gemini Robotics On-Device can control a robot's movements. Developers can control and fine-tune the model to suit various needs using natural language prompts. In benchmarks, Google claims the model performs at a level close to the cloud-based Gemini Robotics model. The company says it outperforms other on-device models in general benchmarks, though it didn't name those models.

In a demo, the company showed robots running this local model doing things like unzipping bags and folding clothes. Google says that while the model was trained for ALOHA robots, it later adapted it to work on a bi-arm Franka FR3 robot and the Apollo humanoid robot by Apptronik. Google claims the bi-arm Franka FR3 was successful in tackling scenarios and objects it hadn't "seen" before, like doing assembly on an industrial belt. Google DeepMind is also releasing a Gemini Robotics SDK. The company said developers can show robots 50 to 100 demonstrations of tasks to train them on new tasks using these models on the MuJoCo physics simulator.

"The worlds of Linux and Windows finally came together in real life..." writes The Verge: Microsoft co-founder Bill Gates and Linus Torvalds, the creator of the Linux kernel, have surprisingly never met before. That all changed at a recent dinner hosted by Sysinternals creator Mark Russinovich... "No major kernel decisions were made," jokes Russinovich in a post on LinkedIn.
More from the Linux news blog Linuxiac: The man on the left is Mark Russinovich, a software engineer, author, and co-founder of Sysinternals, now CTO of Azure, Microsoft's cloud computing platform. He has become synonymous with deep Windows diagnostics and cloud-scale management. In the late 1990s, his suite of tools (Process Explorer, Autoruns, Procmon) revolutionized the way administrators and security professionals understood Windows internals.

The man on the far right is another living legend: Dave Cutler. Let me put it this way — he's one of the key people behind OpenVMS and the brilliant lead architect who designed Windows NT's kernel and hardware-abstraction layer — technologies that remain at the heart of every current Windows release, from server farms to laptops. So, it's no surprise that people often call him the "father of Windows NT."

A senior Broadcom executive has defended VMware's controversial licensing changes by arguing that customers complaining about costs simply weren't using the software bundles properly. VMware shifted away from selling perpetual licenses for individual products to subscription bundles after Broadcom's acquisition. Some smaller and mid-sized customers claim their costs increased eight to 15 times under the new pricing structure, prompting migration plans to alternative platforms.

Joe Baguley, Broadcom's chief technology officer for EMEA, countered that 87% of VMware's top 10,000 customers have signed up for VMware Cloud Foundation, and that cost complaints "don't play out" when Broadcom sits down with customers directly.

Microsoft is positioning Windows as the primary gaming platform for Xbox, according to Xbox president Sarah Bond. "We're working closely with the Windows team to ensure that Windows is the number one platform for gaming," Bond said in a video announcing a partnership with AMD for next-generation Xbox hardware spanning consoles and handhelds.

The statement, PCWorld points out, aligns with Microsoft's recent "This is an Xbox" marketing campaign, which promotes phones, PCs, televisions, and traditional consoles as Xbox devices. The company's newly announced Xbox Ally X handheld runs Windows beneath its Xbox interface, allowing access to multiple game stores unlike Valve's Steam Deck.

Microsoft has shifted strategy following weak Xbox console sales compared to PlayStation, spending billions to acquire publishers including Bethesda and Activision Blizzard while expanding Xbox Cloud Gaming services across multiple device types.

An anonymous reader quotes a report from Ars Technica: OpenAI executives have discussed filing an antitrust complaint with US regulators against Microsoft, the company's largest investor, The Wall Street Journal reported Monday, marking a dramatic escalation in tensions between the two long-term AI partners. OpenAI, which develops ChatGPT, has reportedly considered seeking a federal regulatory review of the terms of its contract with Microsoft for potential antitrust law violations, according to people familiar with the matter. The potential antitrust complaint would likely argue that Microsoft is using its dominant position in cloud services and contractual leverage to suppress competition, according to insiders who described it as a "nuclear option," the WSJ reports.

The move could unravel one of the most important business partnerships in the AI industry -- a relationship that started with a $1 billion investment by Microsoft in 2019 and has grown to include billions more in funding, along with Microsoft's exclusive rights to host OpenAI models on its Azure cloud platform. The friction centers on OpenAI's efforts to transition from its current nonprofit structure into a public benefit corporation, a conversion that needs Microsoft's approval to complete. The two companies have not been able to agree on details after months of negotiations, sources told Reuters. OpenAI's existing for-profit arm would become a Delaware-based public benefit corporation under the proposed restructuring.

The companies are discussing revising the terms of Microsoft's investment, including the future equity stake it will hold in OpenAI. According to The Information, OpenAI wants Microsoft to hold a 33 percent stake in a restructured unit in exchange for foregoing rights to future profits. The AI company also wants to modify existing clauses that give Microsoft exclusive rights to host OpenAI models in its cloud. The restructuring debate attracted criticism from multiple quarters. Elon Musk alleges that OpenAI violated contract provisions by prioritizing profit over the public good in its push to advance AI and has sued to block the conversion. In December, Meta Platforms also asked California's attorney general to block OpenAI's conversion to a for-profit company.

Salesforce will raise prices by an average of 6% across its Enterprise and Unlimited Editions starting August 1, 2025, while simultaneously launching new AI-focused product tiers that significantly expand the cost structure for its platform. The price increases will affect Sales Cloud, Service Cloud, Field Service, and select Industries Clouds, though the company's Foundations, Starter, and Pro Editions will remain unchanged, the company said Tuesday.

Salesforce is justifying the move by citing "significant ongoing innovation and customer value delivered through our products." The company is also rolling out new Agentforce add-ons starting at $125 per user monthly, which provide unlimited AI agent usage for employees, while premium Agentforce 1 Editions begin at $550 per user monthly and include comprehensive AI capabilities plus cloud-specific features. Slack pricing has also been restructured, with the Business+ plan now costing $15 per user monthly and a new Enterprise+ tier added, though basic Slack access will be free for all Salesforce customers.

Google Cloud has attributed last week's widespread outage to a flawed code update in its Service Control system that triggered a global crash loop due to missing error handling and lack of feature flag protection. The Register reports: Google's explanation of the incident opens by informing readers that its APIs, and Google Cloud's, are served through our Google API management and control planes." Those two planes are distributed regionally and "are responsible for ensuring each API request that comes in is authorized, has the policy and appropriate checks (like quota) to meet their endpoints." The core binary that is part of this policy check system is known as "Service Control."

On May 29, Google added a new feature to Service Control, to enable "additional quota policy checks." "This code change and binary release went through our region by region rollout, but the code path that failed was never exercised during this rollout due to needing a policy change that would trigger the code," Google's incident report explains. The search monopolist appears to have had concerns about this change as it "came with a red-button to turn off that particular policy serving path." But the change "did not have appropriate error handling nor was it feature flag protected. Without the appropriate error handling, the null pointer caused the binary to crash."

Google uses feature flags to catch issues in its code. "If this had been flag protected, the issue would have been caught in staging." That unprotected code ran inside Google until June 12th, when the company changed a policy that contained "unintended blank fields." Here's what happened next: "Service Control, then regionally exercised quota checks on policies in each regional datastore. This pulled in blank fields for this respective policy change and exercised the code path that hit the null pointer causing the binaries to go into a crash loop. This occurred globally given each regional deployment."

Google's post states that its Site Reliability Engineering team saw and started triaging the incident within two minutes, identified the root cause within 10 minutes, and was able to commence recovery within 40 minutes. But in some larger Google Cloud regions, "as Service Control tasks restarted, it created a herd effect on the underlying infrastructure it depends on ... overloading the infrastructure." Service Control wasn't built to handle this, which is why it took almost three hours to resolve the issue in its larger regions. The teams running Google products that went down due to this mess then had to perform their own recovery chores. Going forward, Google has promised a couple of operational changes to prevent this mistake from happening again: "We will improve our external communications, both automated and human, so our customers get the information they need asap to react to issues, manage their systems and help their customers. We'll ensure our monitoring and communication infrastructure remains operational to serve customers even when Google Cloud and our primary monitoring products are down, ensuring business continuity."

KDE isn't the only organization reaching out to " as Microsoft prepares to end support for Windows 10.

"Now, The Document Foundation, maker of LibreOffice, has also joined in to support the Endof10 initiative," reports the tech blog Neowin: The foundation writes: "You don't have to follow Microsoft's upgrade path. There is a better option that puts control back in the hands of users, institutions, and public bodies: Linux and LibreOffice. Together, these two programmes offer a powerful, privacy-friendly and future-proof alternative to the Windows + Microsoft 365 ecosystem."

It further adds the "real costs" of upgrading to Windows 11 as it writes:

"The move to Windows 11 isn't just about security updates. It increases dependence on Microsoft through aggressive cloud integration, forcing users to adopt Microsoft accounts and services. It also leads to higher costs due to subscription and licensing models, and reduces control over how your computer works and how your data is managed. Furthermore, new hardware requirements will render millions of perfectly good PCs obsolete.... The end of Windows 10 does not mark the end of choice, but the beginning of a new era. If you are tired of mandatory updates, invasive changes, and being bound by the commercial choices of a single supplier, it is time for a change. Linux and LibreOffice are ready — 2025 is the right year to choose digital freedom!"
The first words on LibreOffice's announcement? "The countdown has begun...."

America's federal government is building a website and API called ai.gov to "accelerate government innovation with AI", according to an early version spotted by 404 Media that was posted on GitHub by the U.S. government's General Services Administration.

That site "is supposed to launch on July 4," according to 404 Media's report, "and will include an analytics feature that shows how much a specific government team is using AI..." AI.gov appears to be an early step toward pushing AI tools into agencies across the government, code published on Github shows....

The early version of the page suggests that its API will integrate with OpenAI, Google, and Anthropic products. But code for the API shows they are also working on integrating with Amazon Web Services' Bedrock and Meta's LLaMA. The page suggests it will also have an AI-powered chatbot, though it doesn't explain what it will do... Currently, AI.gov redirects to whitehouse.gov. The demo website is linked to from Github (archive here) and is hosted on cloud.gov on what appears to be a staging environment. The text on the page does not show up on other websites, suggesting that it is not generic placeholder text...

In February, 404 Media obtained leaked audio from a meeting in which [the director of the GSA's Technology Transformation Services] told his team they would be creating "AI coding agents" that would write software across the entire government, and said he wanted to use AI to analyze government contracts.

An anonymous reader quotes a report from Ars Technica: Do you remember the Pirelli Cyber Tire? No, it's not an angular nightmare clad in stainless steel. Rather, it's a sensor-equipped tire that can inform the car it's fitted to what's happening, both with the tire itself and the road it's passing over. The technology has slowly been making its way into the real world, starting with rarified stuff like the McLaren Artura. Now, Pirelli is going to put some Cyber Tires to work for everybody, not just supercar drivers, in a new pilot program with the regional government of Apulia in Italy.

The Cyber Tire has a sensor to monitor temperature and pressure, using Bluetooth Low Energy to communicate with the car. The electronics are able to withstand more than 3,500 G as part of life on the road, and a 0.3-oz (10 g) battery keeps everything running for the life of the tire. The idea was to develop a better tire pressure monitoring system, one that could tell the car exactly what kind of tire -- summer, winter, all-season, and so on -- was fitted, and even its state of wear, allowing the car to adapt its settings appropriately. But other applications suggested themselves -- at a recent CES, Pirelli showed how a Cyber Tire could warn other road users about aquaplaning. Then again, we've been waiting more than a decade for vehicle-to-vehicle communication to make a difference in daily driving to no avail.

Apulia's program does not rely on crowdsourcing data from Cyber Tires fitted to private vehicles. Regardless of the privacy implications, the rubber isn't nearly in widespread enough use for there to be a sufficient population of Cyber Tire-shod cars in the region. Instead, Pirelli will fit the tires to a fleet of vehicles supplied by the fleet management and rental company Ayvens. Driving around, the sensors in the tires will be able to infer how rough or irregular the asphalt is, via some clever algorithms. That's only one part of it, however. Pirelli and Apulia are also combining input from the tires with data from a network of road cameras and some technology from the Swedish startup Univrses. As you might expect, this data is combined in the cloud, and dashboards are available to enable end users to explore the data.

According to market analyst firm Canalys, enterprise adoption of AI is slowing due to unpredictable and often high costs associated with model inferencing in the cloud. Despite strong growth in cloud infrastructure spending, businesses are increasingly scrutinizing cost-efficiency, with some opting for alternatives to public cloud providers as they grapple with volatile usage-based pricing models. The Register reports: [Canalys] published stats that show businesses spent $90.9 billion globally on infrastructure and platform-as-a-service with the likes of Microsoft, AWS and Google in calendar Q1, up 21 percent year-on-year, as the march of cloud adoption continues. Canalys says that growth came from enterprise users migrating more workloads to the cloud and exploring the use of generative AI, which relies heavily on cloud infrastructure.

Yet even as organizations move beyond development and trials to deployment of AI models, a lack of clarity over the ongoing recurring costs of inferencing services is becoming a concern. "Unlike training, which is a one-time investment, inference represents a recurring operational cost, making it a critical constraint on the path to AI commercialization," said Canalys senior director Rachel Brindley. "As AI transitions from research to large-scale deployment, enterprises are increasingly focused on the cost-efficiency of inference, comparing models, cloud platforms, and hardware architectures such as GPUs versus custom accelerators," she added.

Canalys researcher Yi Zhang said many AI services follow usage-based pricing models that charge on a per token or API call basis. This makes cost forecasting hard as the use of the services scale up. "When inference costs are volatile or excessively high, enterprises are forced to restrict usage, reduce model complexity, or limit deployment to high-value scenarios," Zhang said. "As a result, the broader potential of AI remains underutilized." [...] According to Canalys, cloud providers are aiming to improve inferencing efficiency via a modernized infrastructure built for AI, and reduce the cost of AI services. The report notes that AWS, Azure, and Google Cloud "continue to dominate the IaaS and PaaS market, accounting for 65 percent of customer spending worldwide."

"However, Microsoft and Google are slowly gaining ground on AWS, as its growth rate has slowed to 'only' 17 percent, down from 19 percent in the final quarter of 2024, while the two rivals have maintained growth rates of more than 30 percent."

An anonymous reader quotes a report from The Register: UK universities and colleges have signed a framework worth up to 9.86 million pounds ($13.33 million) with Oracle to use its controversial Java SE Universal Subscription model, in exchange for a "waiver of historic fees due for any institutions who have used Oracle Java since 2023." Jisc, a membership organization that runs procurement for higher and further education establishments in the UK, said it had signed an agreement to purchase the new subscription licenses after consultation with members. In a procurement notice, it said institutions that use Oracle Java SE are required to purchase subscriptions. "The agreement includes the waiver of historic fees due for any institutions who have used Oracle Java since 2023," the notice said.

The Java SE Universal Subscription was introduced in January 2023 to an outcry from licensing experts and analysts. It moved licensing of Java from a per-user basis to a per-employee basis. At the time, Oracle said it was "a simple, low-cost monthly subscription that includes Java SE Licensing and Support for use on Desktops, Servers or Cloud deployments." However, licensing advisors said early calculations to help some clients showed that the revamp might increase costs by up to ten times. Later, analysis from Gartner found the per-employee subscription model to be two to five times more expensive than the legacy model.

"For large organizations, we expect the increase to be two to five times, depending on the number of employees an organization has," Nitish Tyagi, principal Gartner analyst, said in July 2024. "Please remember, Oracle defines employees as part-time, full-time, temporary, agents, contractors, as in whosoever supports internal business operations has to be licensed as per the new Java Universal SE Subscription model." Since the introduction of the new Oracle Java licensing model, user organizations have been strongly advised to move off Oracle Java and find open source alternatives for their software development and runtime environments. A survey of Oracle users found that only one in ten was likely to continue to stay with Oracle Java, in part as a result of the licensing changes.

Multiple popular services -- including Google, Google Cloud, AWS, Spotify, Discord, Cloudflare, Google Nest, Azure, Box and Shopify -- are experiencing at least a partial outage globally that began around 2:25pm ET Friday, according to user complaints with reports flooding in across social media and outage tracking sites. Cloudflare has confirmed ongoing issues that started within the past hour. It remains unclear what prompted the outage.

More details to follow.

Amazon Web Services has signed a long-term deal with Talen Energy to receive up to 1,920 megawatts of carbon-free electricity from the Susquehanna nuclear plant through 2042 to support AWS's AI and cloud operations. The partnership also includes plans to explore new Small Modular Reactors and expand nuclear capacity amid rising U.S. energy demand. Utility Drive reports: Under the PPA, Talen's existing 300-MW co-location arrangement with AWS will shift to a "front of the meter" framework that doesn't require Federal Energy Regulatory Commission approval, according to Houston-based Talen. The company expects the transition will occur next spring after transmission upgrades are finished. FERC in November rejected an amended interconnection service agreement that would have facilitated expanded power sales to a co-located AWS data center at the Susquehanna plant. The agency is considering potential rules for co-located loads in PJM.

Talen expects to earn about $18 billion in revenue over the life of the contract at its full quantity, according to an investor presentation. The contract, which runs through 2042, calls for delivering 840 MW to 1,200 MW in 2029 and 1,680 MW to 1,920 MW in 2032. Talen will act as the retail power supplier to AWS, and PPL Electric Utilities will be responsible for transmission and delivery, the company said. Amazon on Monday said it plans to spend about $20 billion building data centers in Pennsylvania.

"We are making the largest private sector investment in state history -- $20 billion-- to bring 1,250 high-skilled jobs and economic benefits to the state, while also collaborating with Talen Energy to help power our infrastructure with carbon-free energy," Kevin Miller, AWS vice president of global data centers, said.

HP has unveiled the first commercial hardware for Google Beam, the Android-maker's 3D video conferencing technology formerly known as Project Starline, with a price tag of $24,999. The HP Dimension features a 65-inch light field display paired with six high-speed cameras positioned around the screen to capture speakers from multiple angles, creating what the companies describe as a lifelike 3D representation without requiring headsets or glasses.

The system processes visual data through Google's proprietary volumetric video model, which merges camera streams into 3D reconstructions with millimeter-scale precision at 60 frames per second. Beyond the hardware cost, users must purchase a separate Google Beam license for cloud processing, though pricing for that service remains undisclosed.

An anonymous reader shares a blog post from Google: Today, we're bringing you Android 16, rolling out first to supported Pixel devices with more phone brands to come later this year. This is the earliest Android has launched a major release in the last few years, which ensures you get the latest updates as soon as possible on your devices. Android 16 lays the foundation for our new Material 3 Expressive design, with features that make Android more accessible and easy to use.

Cisco is updating its networking and security products to make AI networks speedier and more secure, part of a broader push to capitalize on the AI spending boom. From a report: A new generation of switches -- networking equipment that links computer systems -- will offer a 10-fold improvement in performance, the company said on Tuesday. That will help prevent AI applications from suffering bottlenecks when transferring data, Cisco said. Networking speed has become a bigger issue as data center operators try to manage a flood of AI information -- both in the cloud and within the companies' own facilities. Slowdowns can hinder AI models, Cisco President and Chief Product Officer Jeetu Patel said in an interview. That applies to the development phase -- known as training -- and the operation of the models, a stage called inference. A massive build-out of data centers has made Cisco more relevant, he said. "AI is going to be network-bound, both on training and inference," Patel said. Having computer processors sit idle during training because of slow networks is "just throwing away money."