A small but growing number of European officials and analysts are saying what four years ago was unthinkable: Ukraine isn’t just surviving its grueling war with Russia, it is in some ways thriving and may even be on a path to victory. This isn’t yet captured in headlines — for example, about last weekend’s barrage of Russian drones and missiles around Ukraine — but in the details, like how some 90 percent were intercepted. Several long-term trends have shifted in Ukraine’s favor, and the core reason is its fierce focus on AI and robotics.

In the crucible of war, Ukraine has developed drones and ground robots that can hold territory — even take it back. Some are fully controlled by humans, like supply robots and medical-evacuation vehicles. But an increasing number are controlled in at least some aspects by dozens of AI products, from guidance packages on aerial drones to decision aids at the highest levels. […] Just as important as the tech are the new tactics. Given unusual latitude to experiment, Ukrainian fighters began to develop robot-forward infantry concepts, like combined-arms attacks by airborne and ground systems, “more than a year ago. Right now, we’re massively starting to implement this,” said Davyd Aloian, deputy secretary of the National Security and Defence Council of Ukraine, the coordinating body on domestic and international security, in an interview.

Ukraine and its partners are also steaming ahead on new concepts for highly autonomous defenses against Russian drones, combining ISR sensors and AI to detect and identify enemy drones in less time and with more certainty. “All of the systems are being linked with each other and with people” to create a distributed network with interceptor drones at various locations to be activated when needed, Aloian said. “One day we will have only like 10 guys who are just going to be responsible for approving interception. And it will automatically go direct to the target.” The human operators will be dispersed as well. “Everything can be controlled from Kyiv, Lviv, from cities in other countries,” he said.

The ocean observation system began operating in 2016 and was expected to continue for 25 years. Jim Edson, a marine meteorologist who led the Ocean Observatories Initiative, called it “the world’s most advanced continuously operating ocean observing systems.” When it was first proposed, the science foundation said it was important to have a long-term presence at scientifically important sites in the Atlantic and Pacific oceans. Removing the instruments could take 15 months. Seismic instruments positioned around an active underwater volcano off Oregon will continue operating until 2028.

Each observation station consists of several moorings that secure long arrays of devices connected to wires. The devices measure ocean currents as well as chemical and biological conditions from the water’s surface down thousands of feet. The instruments were hardened to resist the pressure of the deep ocean, corrosive seawater as well as marine plants and animals that can foul electronics. Remotely controlled robotic vehicles and gliders around the moorings collect and transmit data to research laboratories.

It cost $48 million annually to operate the network. The Trump administration repeatedly tried to shutter it, proposing to cut its funding by 80 percent in both 2025 and again in 2026. Congress pushed back, restoring the money. To try to reduce costs, managers turned off some of the instruments and collected less data, according to a December 2025 presentation about the observatories at the annual meeting of the American Geophysical Union, a nonprofit organization of scientists. Still, the science foundation moved ahead to decommission the observatory network.

A team inside Microsoft has been quietly building a platform for devices that run AI agents instead of apps, based on Android instead of Windows, with two working hardware designs so far, and an initial set of big-name companies lined up to run pilots. The platform, dubbed "Project Solara,” is Microsoft’s bet that AI will open up entirely new scenarios for computing — using agents to avoid the constraints of traditional software, and off-the-shelf components to develop new devices quickly and inexpensively. […] The company unveiled Solara on Tuesday at its Build conference in San Francisco, describing it as a new platform that spans from chip to cloud. GeekWire got a behind-the-scenes look at the project during a briefing last week in Redmond, including demos of the first two concept devices based on the platform:

- A desktop hub that sits beside a PC and responds to voice commands, signs users in using facial recognition, and surfaces the day’s most pressing items. With a monitor attached, it becomes a full Windows machine running in the cloud.
- A wearable badge that reimagines the standard employee ID card. A fingerprint button wakes an agent in one press; a single tap records and transcribes a conversation; and a built-in camera lets the agent act on what the user sees.

Microsoft says it won’t ship these devices itself. Instead, it envisions hardware makers and other industry partners turning the reference designs into implementations of their own, each intended for a specific industry, company, or scenario. For example, in one demo shown by the company, the high-tech badge ran on agents designed for use by a health-care worker, including the ability to scan a patient’s QR code, record and transcribe the visit, log vitals, and start a prescription. In another application of the same badge, the built-in camera scanned a brainstorm board with ideas for an office revamp, and made a suggestion: add some plants.

The two devices are a starting point. The bigger opportunity, the company says, is all the tasks and workflows where a PC or phone gets in the way or isn’t practical to use. […] In the coming months, companies including AccuWeather, Best Buy, CVS Health, Levi’s, and Target are expected to begin pilots of devices based on the reference designs. The operating system is the Microsoft Device Ecosystem Platform, or MDEP, an enterprise version of Android that Microsoft developed for devices including Teams meeting-room hardware. The company says it chose MDEP over Windows deliberately, to run on smaller, lower-power devices while keeping the management and security features IT departments expect: patch and over-the-air updates, device integrity, Microsoft Defender, Intune, and Entra ID sign-in.

The Leiden Declaration, which has already drawn hundreds of signatories, warns that recent AI developments are threatening “characteristic values” of mathematical research, “often in ways that disproportionately affect students and early-career mathematicians, and hence the long term future of the discipline.”

First, it points out how AI models can “produce plausible but unreliable (or even incorrect) arguments which are difficult to distinguish from correct mathematical proofs.” Such developments put reviewers under increasing pressure and are “jeopardizing our ability to implement traditional standards for the correctness, transparency, and independent verifiability of proof,” the declaration warns. “Inaccurate AI-generated drafts are cheap to produce, and there is a risk of cluttering the literature with claimed results that are simply wrong,” said Leslie Ann Goldberg, head of computer science at the University of Oxford, in a statement. “Once that happens, the errors are likely to propagate as new results are built on faulty foundations.”

Second, the declaration highlights how “models trained on published works frequently return outputs that do not properly cite the human works they synthesize,” while also pointing out that many current AI models were trained on data obtained through “exploiting licenses and access arrangements” or “simply violating copyright protections.”

Third, the declaration describes how the use of AI “may become incentivized for its own sake, disrupting our mechanisms for hiring, funding and recognition” while leaving out researchers who lack access or are “unwilling to use technologies controlled by organizations whose values they do not share.”

Fourth, the declaration warns against mathematics research “communicated through informal channels such as press releases or blog posts, often without any research paper or other disclosure of information necessary for scientific evaluation.” Such communication strategies can lead to “oversimplification” in media reporting that overemphasizes AI tools’ significance at the expense of prior human contributions, and “misleadingly uses specific mathematical tasks as metrics for the general reasoning capacities of commercial products.”

Fifth, the declaration describes “increasing involvement of technology companies in mathematical research” as threatening the “autonomy of mathematics,” especially as university budgets are under pressure and researchers may feel greater professional incentive to collaborate with technology companies on “asymmetric terms.” This also raises the risk that mathematics research questions amenable to AI-driven techniques may be prioritized.

As of Thursday June 4, “Qwant will replace Google as default search engine on European Parliament computers,” officials told lawmakers in an email seen by POLITICO. The change is being made “in line with the Parliament’s commitment to digital sovereignty and the protection of users’ personal data.” The search-engine switch comes as Brussels doubles down on its push for âoetech sovereignty.â The European Commission will on Wednesday unveil its long-awaited tech sovereignty package aimed at reducing dependence on foreign technology providers and boosting European alternatives.

The email described Qwant as a “privacy-focused European search engine” designed to avoid tracking users or collecting personal data. Founded in 2013, Qwant markets itself as a privacy-first alternative to Google. Searches conducted through the address bar in Firefox and Edge browsers will automatically be routed through Qwant, although lawmakers will remain free to use competing search engines or change their default settings.

The agency said it had opened a criminal investigation into illegal access to computer information and the distribution of malicious software. It did not identify the alleged intelligence service responsible, disclose how many officials were affected, name the malware involved, or provide any technical indicators that would allow independent verification of the claims. As things stand, the FSB has revealed the accusation but not the proof.

“Microsoft Office 2019 and 2021 for Mac view-only conversion (2026) is a scheduled remote degradation of perpetually-licensed Microsoft Office software for macOS and iOS, set for July 13, 2026 when a license-validation certificate used by the Office apps expires,” reports the Consumer Rights Wiki. “After Office 2019 for Mac reached end of support in October 2023, Microsoft assured customers their installed apps would ‘continue to function.’ The July 13, 2026 conversion instead drops the apps into a Microsoft-defined 'reduced functionality mode,’ in which files can be opened and viewed but not edited or saved. By May 30, 2026, the original 2023 end-of-support page had been re-dated and rewritten on Microsoft’s site; the ‘continue to function’ clause was removed.”

Microsoft’s advice to the users they’re stealing from is to keep using the applications as mere viewers, switch to the free Office 365 web applications, pay for a 365 subscription, or buy a brand new regular copy of Office 2024. None of these make any sense, and clearly, all of this should be illegal, but it’s not because the software industry is a clown show.

Shahine said Scout can reduce mundane tasks that office workers face, such as coordinating and scheduling meeting times with colleagues, or blocking times in a user’s calendar based on upcoming work commitments. “It can also spot risks, like stalled decisions, so you can address them before they become blockers,” he said. It’s available as an “experimental release” to customers of the company’s Frontier program, Microsoft said, and will require Intune policy configuration and “opt-in attestation.” […] It’s not clear whether Scout will be included in Microsoft 365 Copilot subscriptions or charged separately. Microsoft did not immediately provide additional details about pricing.

President Donald Trump on Tuesday signed an executive order asking artificial intelligence companies to provide models to the federal government to assess their capabilities ahead of a full release. The order asks companies, on a voluntary basis, to participate in a benchmarking process to assess a model’s “advanced cyber capabilities” and determine whether it should be considered a “covered frontier model.” It then asks for access to those models up to 30 days before the companies plan to release them more broadly, and enables the government to help select the “trusted partners” that will receive early access.

“Nothing in this section shall be construed to authorize the creation of a mandatory governmental licensing, preclearance, or permitting requirement for the development, publication, release, or distribution of new AI models, including frontier models,” the order said. Trump signed the order in private, just weeks after he postponed a signing ceremony with prominent tech CEOs because he “didn’t like certain aspects of it,” he told reporters at the time. […] Trump’s AI order outlines several timeframes to develop directives and other guidance, specifically calling on the Department of Defense to prioritize the cyber defense of its information systems.

Adafruit received at 10:38 p.m. ET on May 22, 2026 a letter from former FBI chief of staff, Jonathan F. Lenzner, and partner at Fenwick & West LLP, counsel for Flux, demanding, among other things, that Adafruit refrain from publishing an article addressing what the letter characterizes as false and potentially defamatory claims about Flux, including statements about Flux’s intellectual property, commercial traction and user base.

The letter further asserts claims under the Computer Fraud and Abuse Act. Adafruit accessed only information that Flux’s own systems made publicly available through a server misconfiguration. Adafruit’s reporting concerns a matter of public security interest and was conducted in the ordinary course of responsible disclosure.

Although Adafruit vigorously rejects the assertions made in Flux’s May 22, 2026 demand letter, we have temporarily stopped publishing on the Adafruit blog while we consider our response and next steps. We will update the community as appropriate.

Since the upcoming law doesn’t actually come into force until February 18th, 2027, companies still have plenty of time to get their ducks in a row. Still, it’s likely that before then we’ll see more and more manufacturers launch products with user-replaceable batteries, across audio, e-readers, gaming handhelds, and more. Only time will tell whether most of those products are EU only, or whether the new European laws shape the nature of tech worldwide.

It’s likely that some product categories will move slower than others. Tech companies will have breathed a sigh of relief that wearables look likely to be exempt, but if wireless earbuds aren’t carved out as well then there may be a scramble to adapt the miniature designs for easy replaceability. “The in-ear form factor demands extreme miniaturization, to fit the driver, antenna, processor, microphones and battery,” notes a recent report from consultants Futuresource, going on to suggest that meeting the requirements will make earbuds both bigger and more expensive to manufacture.

There also remains uncertainty about how some elements of the law will be interpreted. The law requires that user repairs be possible using “commercially available tools,” which are “tools available on the market to all end-users.” Right to Repair Europe’s Alberico points out that this is a broad definition, likely to include a lot of tools not found in most houses, so there will likely be nothing to stop manufacturers requiring the sorts of less common screws that require dedicated electronics tool kits. There’s also no strict definition of the “reasonable” price that manufacturers are required to set for spare parts. “That will likely take time — and possibly litigation — to clarify in practice,” Alberico says. “But without fair access to affordable spare parts, repair will struggle to become the simplest and most attractive option for consumers.”

The big disappointment is that the separate phone and tablet legislation means we won’t see any real changes there, so long as manufacturers make their batteries and devices durable. “This creates a false tradeoff between durability and repairability,” Alberico says. “Robust, waterproof devices should not have to come at the expense of user-replaceable batteries. While the ecodesign legislation requirements meant an improvement in battery durability and replaceability, at Right to Repair Europe we’ll continue to advocate for all products to be designed with user-replaceable batteries.” Whether the EU will listen remains to be seen. Otherwise, the main product people seem to want to replace the battery in may remain one of the only ones where they can’t.

In April, GitHub announced that it was moving subscribers from request-based billing to a usage-based model for its AI-powered Copilot service. As that new pricing model goes into effect today, many GitHub Copilot users are reporting some extreme sticker shock as they realize just how quickly their previous “normal” usage is burning through their newly limited monthly allotment of AI credits. Across social media and forums, many Copilot users are sharing personal statistics showing how just a few hours of AI usage can now account for a large chunk of their new monthly subscription caps. For some users, it reportedly took less than a day to use up a month’s usage quota.

That’s a big change from previous months, when GitHub Copilot subscribers were allocated a certain number of “requests” and “premium requests” based on their payment tier. GitHub said that the old system meant that “a quick chat question and a multi-hour autonomous coding session [could] cost the user the same amount,” forcing Copilot itself to “absorb much of the escalating inference cost behind that usage.” […] Indeed, some Copilot users have been sharing estimates from GitHub’s own tool showing that their previous monthly usage would rack up bills in the thousands of dollars under the new pricing plan. Under GitHub’s new usage-based pricing system, paid Copilot subscriptions instead grant users a certain number of AI “credits” each month, with one credit corresponding to $0.01 of usage. Subscribers also get bonus credits depending on their subscription level: the $10/month Pro plan includes 1,500 credits ($15 worth); the $39 Pro+ plan includes 7,000 credits ($70 worth); and the $100/month Copilot Max plan includes 20,000 credits ($200 worth).

The precise number of Copilot credits used by a given prompt is determined by the number of input and output tokens used and the rates charged by the underlying large language model. That means pricing is highly dependent not just on the type of request but on the specific model that a user chooses. One million output tokens from OpenAI’s GPT-5.4 nano would run just $1.25 on GitHub Copilot, but that same level of output would run $30 on the frontier GPT-5.5 model (Copilot users who rely on “Auto” mode to pick the most appropriate available model for any request should be extremely careful, as some users report it can switch to expensive models for extremely simple queries).

As part of its successful "Debug” program, Google is tapping into its tech expertise to raise an army of sterile male mosquitoes to lower the number of illness-spreading bugs. Mosquitoes — the world’s deadliest animal — kill more people than any other creature in the world every year by spreading lethal diseases such as dengue, West Nile virus, Zika, chikungunya and malaria.

A notice (PDF) from the federal register shows the US Environmental Protection Agency (EPA) is reviewing Google’s request to release up to 16 million mosquitoes annually, in Florida and California, over the span of two years. The EPA will decide whether to greenlight Google’s request for an experimental use permit after a public comment period, which ends on 5 June.

Male mosquitoes don’t bite or carry disease. One of the main approaches Google is testing involves rearing male mosquitoes with a naturally occurring bacteria, called wolbachia, which stops them from having offspring with wild female mosquitoes. When an infected male tries to mate with a wild female, her eggs won’t hatch; Google explains in a blog post: “the population gets smaller with each generation.”

Nazareth Solar will sit on more than 2,400 acres of private land and generate enough electricity to power around 53,000 homes annually. The project will neighbor Vesper’s Hornet Solar (pictured above), another large solar farm the company developed. ERCOT faces growing demand from population growth, industrial expansion, and power-hungry data centers. And despite political attacks on renewables, solar continues getting built in this red state because it’s one of the fastest and cheapest ways to add new electricity to the grid.

Vesper says the project will bring new tax revenue to local schools, infrastructure, and emergency services, along with construction jobs and long-term operations roles. Participating landowners are also expected to receive long-term lease income from the solar farm.

The buzz on college campuses is that AI is disrupting the job market for young college graduates. But new research from the Federal Reserve Bank of New York finds that the culprit may be something else: remote work. An analysis of federal employment data, paired with a deep dive into the flexible work arrangements at one unnamed Fortune 500 tech company, reveals that companies are less likely to hire recent college grads into occupations that can be done remotely.

Researchers speculate that employers are reluctant to put such workers in a setting where it’s harder to absorb lessons from coworkers. The researchers found the unemployment rate among younger college grads — those under the age of 29 — rose 20% after the pandemic, while unemployment among older college grads fell slightly. The study compares unemployment rates pre-pandemic, from 2017 to 2019, with unemployment rates after the pandemic, from 2022 to 2024. Unemployment rose as remote work grew fourfold, the researchers write. “Our analysis suggests that these trends are related, with remote work making it more difficult for managers to train and mentor new employees.”