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Microsoft concedes January's out-of-band fix didn't stop some PCs from rebooting instead of sleeping

Microsoft rounded off January by adding more devices to the list of those affected by the hibernation issue it claimed had been fixed by an out-of-band update.…

Drop in customers' cloud conversion rate causes share price to plunge 22% - steepest decline since 2020

SAP is refusing to change tack on renewal discounts despite lower-than-expected cloud forecasts prompting its biggest share price slide in five years.…

Starbucks has been pouring hundreds of millions of dollars into AI and automation -- testing robots that take drive-through orders, virtual assistants that help baristas recall recipes and manage schedules, and scanning tools that count inventory -- as the 55-year-old coffee chain tries to reverse several years of struggling sales. The company last week reported its first same-store sales increase in two years in the U.S., where it earns roughly 70% of its revenue. Shares still slid 5% on concerns that heavy spending, including $500 million to boost staffing, had hurt profits. CEO Brian Niccol, who joined in 2024 after engineering Chipotle's turnaround, told the BBC he is confident consistent growth will address that; the company has pledged to find $2 billion in cost savings over three years.

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Researchers disclose rapid exploit chain that let attackers run code via a single malicious web page

Security issues continue to pervade the OpenClaw ecosystem, formerly known as ClawdBot then Moltbot, as multiple projects patch bot takeover and remote code execution (RCE) exploits.…

CEO talks momentum while paid uptake remains minimal

Only 3.3 percent of Microsoft 365 and Office 365 users who touch Copilot Chat actually pay for it, an awkward figure that landed alongside Microsoft's $37.5 billion quarterly AI splurge and its insistence that the payoff is coming.…

China's decades-old network of elite high-school "genius classes" -- ultra-competitive talent streams that pull an estimated 100,000 gifted teenagers out of regular schooling every year and run them through college-level science curricula -- has produced the core technical talent now building the country's leading AI and technology companies, the Financial Times reported Saturday. Graduates of these programs include the founder of ByteDance, the leaders of e-commerce giants Taobao and PDD, the billionaire behind super-app Meituan, the brothers who started Nvidia rival Cambricon, and the core engineers behind large language models at DeepSeek and Alibaba's Qwen. DeepSeek's research team of more than 100 was almost entirely composed of genius-class alumni when the startup released its R1 reasoning model last year at a fraction of the cost of its international rivals. The system traces to the mid-1980s, when China first sent students to the International Mathematical Olympiad and a handful of top high schools began creating dedicated competition-track classes. China now graduates around five million STEM majors annually -- compared to roughly half a million in the United States -- and in 2025, 22 of the 23 students it sent to the International Science Olympiads returned with gold medals. The computer science track has overtaken maths and physics as the most popular competition subject, a shift that accelerated after Beijing designated AI development a "key national growth strategy" in 2017.

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Breach lingered for months before stronger signature checks shut the door

A state-sponsored cyber criminal compromised Notepad++'s update service in 2025, according to the project's author.…

Winter storm knocks out Oracle datacenter, despite Larry Ellison's reliability boasts

TikTok has restored US services after winter storms hit an Oracle datacenter - the same infrastructure that Big Red's founder Larry Ellison previously claimed doesn't go down.…

The New York Times lists other reasons a company lays off people. ("It didn't meet financial targets. It overhired. Tariffs, or the loss of a big client, rocked it...") "But lately, many companies are highlighting a new factor: artificial intelligence. Executives, saying they anticipate huge changes from the technology, are making cuts now." A.I. was cited in the announcements of more than 50,000 layoffs in 2025, according to Challenger, Gray & Christmas, a research firm... Investors may applaud such pre-emptive moves. But some skeptics (including media outlets) suggest that corporations are disingenuously blaming A.I. for layoffs, or "A.I.-washing." As the market research firm Forrester put it in a January report: "Many companies announcing A.I.-related layoffs do not have mature, vetted A.I. applications ready to fill those roles, highlighting a trend of 'A.I.-washing' — attributing financially motivated cuts to future A.I. implementation...." "Companies are saying that 'we're anticipating that we're going to introduce A.I. that will take over these jobs.' But it hasn't happened yet. So that's one reason to be skeptical," said Peter Cappelli, a professor at the Wharton School... Of course, A.I. may well end up transforming the job market, in tech and beyond. But a recent study... [by a senior research fellow at the Brookings Institution who studies A.I. and work] found that AI has not yet meaningfully shifted the overall market. Tech firms have cut more than 700,000 employees globally since 2022, according to Layoffs.fyi, which tracks industry job losses. But much of that was a correction for overhiring during the pandemic. As unpopular as A.I. job cuts may be to the public, they may be less controversial than other reasons — like bad company planning. Amazon CEO Jassy has even said the reason for most of their layoffs was reducing bureaucracy, the article points out, although "Most analysts, however, believe Amazon is cutting jobs to clear money for A.I. investments, such as data centers."

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DOJ files show former Windows chief predicting a public flop before mulling next mission

Steven Sinofsky warned Microsoft that its flagship Surface was about to flop in public, then sought exit advice from Jeffrey Epstein as he negotiated his way out of Redmond.…

Open source operating system fans, your time has come

Bork!Bork!Bork! Most people would be perfectly happy to ride the bus without seeing ads. So this latest public error could be a blessing in disguise for passengers, if not for the bus company hoping to make money. Love it or hate it, this bit of borked digital signage looks to have run into a problem that only an open-source hero can solve.…

Don't be scared of the digital dark – learn how to keep the lights on

Opinion Barely a month into 2026, electrical power infrastructure on two continents has tested positive for cyberattacks. One fell flat as attempts to infiltrate and disrupt the Polish distribution grid were rebuffed and reported. The other, earlier attack was part of Operation Absolute Resolve, the US abduction of Venezuela's President Maduro from Caracas on January 3.…

Phoronix reports: Chris Mason, the longtime Linux kernel developer most known for being the creator of Btrfs, has been working on a Git repository with AI review prompts he has been working on for LLM-assisted code review of Linux kernel patches. This initiative has been happening for some weeks now while the latest work was posted today for comments... The Meta engineer has been investing a lot of effort into making this AI/LLM-assisted code review accurate and useful to upstream Linux kernel stakeholders. It's already shown positive results and with the current pace it looks like it could play a helpful part in Linux kernel code review moving forward. "I'm hoping to get some feedback on changes I pushed today that break the review up into individual tasks..." Mason wrote on the Linux kernel mailing list. "Using tasks allows us to break up large diffs into smaller chunks, and review each chunk individually. This ends up using fewer tokens a lot of the time, because we're not sending context back and forth for the entire diff with every turn. It also catches more bugs all around."

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Administrators sigh: OOBs, they did it again

Opinion Microsoft has had a bad start to the year. Two out-of-band updates in the weeks after the first Patch Tuesday of 2026 rattled administrators' already shaky faith in the company. But are things getting worse?…

Love hurts, but being exposed is more painful

Who, Me? Monday brings the shock of a return to work, a transition The Register always tries to ease by bringing you a new instalment of Who, Me?, the reader-contributed column in which your fellow readers admit to errors and disclose how they dodged the consequences.…

'The nature and scope of this work has raised questions' says CEO, who swears he couldn't spot it sooner

French consulting and tech services giant Capgemini has decided to offload Capgemini Government Solutions (CGS), the entity it uses for some work with the US government – including a controversial gig assisting immigration authorities.…

"Technology companies spent part of the 2010s trying to convince us that we would want an 8K display one day..." writes Ars Technica. "However, 8K never proved its necessity or practicality." LG Display is no longer making 8K LCD or OLED panels, FlatpanelsHD reported today... LG Electronics was the first and only company to sell 8K OLED TVs, starting with the 88-inch Z9 in 2019. In 2022, it lowered the price-of-entry for an 8K OLED TV by $7,000 by charging $13,000 for a 76.7-inch TV. FlatpanelsHD cited anonymous sources who said that LG Electronics would no longer restock the 2024 QNED99T, which is the last LCD 8K TV that it released. LG's 8K abandonment follows other brands distancing themselves from 8K. TCL, which released its last 8K TV in 2021, said in 2023 that it wasn't making more 8K TVs due to low demand. Sony discontinued its last 8K TVs in April and is unlikely to return to the market, as it plans to sell the majority ownership of its Bravia TVs to TCL. The tech industry tried to convince people that the 8K living room was coming soon. But since the 2010s, people have mostly adopted 4K. In September 2024, research firm Omdia reported that there were "nearly 1 billion 4K TVs currently in use." In comparison, 1.6 million 8K TVs had been sold since 2015, Paul Gray, Omdia's TV and video technology analyst, said, noting that 8K TV sales peaked in 2022. That helps explain why membership at the 8K Association, launched by stakeholders Samsung, TCL, Hisense, and panel maker AU Optronics in 2019, is dwindling. As of this writing, the group's membership page lists 16 companies, including just two TV manufacturers (Samsung and Panasonic). Membership no longer includes any major TV panel suppliers. At the end of 2022, the 8K Association had 33 members, per an archived version of the nonprofit's online membership page via the Internet Archive's Wayback Machine. "It wasn't hard to predict that 8K TVs wouldn't take off," the article concludes. "In addition to being too expensive for many households, there's been virtually zero native 8K content available to make investing in an 8K display worthwhile..."

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Big Red will use debt and equity finance to keep itself in the pink

Oracle has revealed it needs to raise $45 billion to $50 billion in cash to fund expansion of its cloud infrastructure, and its plan to raise that money…

The EU "has switched on parts of its homegrown secure satellite communications network for the first time," reports Bloomberg, calling it part of a €10.6 billion push to "wean itself off US support amid growing tensions." SpaceNews notes the new government program GOVSATCOM pools capacity from eight already on-oribit satellites from France, Spain, Italy, Greece and Luxembourg — both national and commercial. And they cite this prediction by EU Defense and Space Commissioner Andrius Kubilius. The program could expand by 2027. "All member states can now have access to sovereign satellite communications — military and government, secure and resilient, built in Europe, operated in Europe, and under European control," [Kubilius said during his opening remarks at the European Space Conference]... Beginning in 2029, GOVSATCOM is expected to integrate with the 290 satellites in the Infrastructure for Resilience, Interconnectivity and Security by Satellite constellation, known as IRIS2, and be fully operational... "The goal is connectivity and security for all of Europe — guaranteed access for all member states and full European control."

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"Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code)." That's one of the conclusions Google's Go team drew from September's big survey of 5,379 Go developers. But the survey also found that among Go developers using AI-powered tools, "their satisfaction with these tools is middling due, in part, to quality concerns." Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation... We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the "Somewhat satisfied" category (42%) vs. the "Very satisfied" group (13%)... [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they've accomplished with these tools, as well as something that didn't work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality. The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context... [One developer said reviewing AI-generated code was so mentally taxing that it "kills the productivity potential".] Of all the tasks we asked about, "Writing code" was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn't want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code. Most respondents also said they "are not currently building AI-powered features into the Go software they work on (78%)," the surveyors report, "with 2/3 reporting that their software does not use AI functionality at all (66%)." This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it's plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time). Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development.

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