Microsoft is reevaluating its AI strategy on Windows 11 and plans to scale back or remove Copilot integrations across built-in apps after months of sustained user backlash, according to a Windows Central report citing people familiar with the company's plans.

Copilot features in apps like Notepad and Paint are under review and could be pulled entirely or stripped of their Copilot branding in favor of a more streamlined experience. The company has paused work on adding new Copilot buttons to any other in-box apps. Windows Recall, the screenshot-based search feature delayed by an entire year in 2024 over security and privacy concerns, is separately under review -- Microsoft internally considers the current implementation a failure and is exploring ways to rework or rename the feature rather than scrap it entirely, the report said.

Apple's long-standing dominance over its electronics supply chain is eroding as AI companies outbid the iPhone maker for critical components like chips, memory and specialized glass fiber, giving suppliers the leverage to demand that Apple pay more. CEO Tim Cook acknowledged the pressure during a Thursday earnings call, noting constraints in chip supplies and significant increases in memory prices.

Nvidia has overtaken Apple as TSMC's largest customer, CEO Jensen Huang said on a podcast; Apple had held that position by a wide margin for years. DRAM prices are set to quadruple from 2023 levels by year-end and NAND prices will more than triple, according to TechInsights.

The firm estimates Apple could pay $57 more for memory in the base iPhone 18 due this fall compared to the base iPhone 17 currently on sale -- a significant hit on a device that retails for $799.

Moltbook, a Reddit-like social network that launched last week and bills itself as a platform "built exclusively for AI agents," had a security vulnerability that exposed private messages shared between agents, the email addresses of more than 6,000 human owners, and over a million credentials, according to research published Monday by cybersecurity firm Wiz.

The flaw has since been fixed after Wiz contacted Moltbook. Wiz cofounder Ami Luttwak called it a classic byproduct of "vibe coding." Moltbook creator Matt Schlicht posted on X last Friday that he "didn't write one line of code" for the site. He did not immediately respond to a request for comment when reached out by Reuters. Luttwak said the vulnerability also allowed anyone to post to the site, bot or human. "There was no verification of identity," he said.

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.

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.

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."

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."

"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.

Talks "are at a standstill" for Anthropic's potential $200 million contract with America's Defense Department, reports Reuters (citing several people familiar with the discussions.") The two issues?

- Using AI to surveil Americans
- Safeguards against deploying AI autonomously

The company's position on how its AI tools can be used has intensified disagreements between it and the Trump administration, the details of which have not been previously reported... Anthropic said its AI is "extensively used for national security missions by the U.S. government and we are in productive discussions with the Department of War about ways to continue that work..."

In an essay on his personal blog, Anthropic CEO Dario Amodei warned this week that AI should support national defense "in all ways except those which would make us more like our autocratic adversaries.
A person "familiar with the matter" told the Wall Street Journal this could lead to the cancellation of Anthropic's contract: Tensions with the administration began almost immediately after it was awarded, in part because Anthropic's terms and conditions dictate that Claude can't be used for any actions related to domestic surveillance. That limits how many law-enforcement agencies such as Immigration and Customs Enforcement and the Federal Bureau of Investigation could deploy it, people familiar with the matter said. Anthropic's focus on safe applications of AI — and its objection to having its technology used in autonomous lethal operations — have continued to cause problems, they said.
Amodei's essay calls for "courage, for enough people to buck the prevailing trends and stand on principle, even in the face of threats to their economic interests and personal safety..."

The Wall Street Journal says that Meta "might be reaping some of the richest benefits from the AI boom so far." Meta's revenue grew 22% year over year in 2025 to $201 billion, and the company expects even bigger gains in the current quarter, potentially as high as 34%. That is huge growth for a company that brought in nearly $60 billion in the latest three-month period. And Zuckerberg signaled that Meta was just scratching the surface of AI's potential. "Our world-class recommendation systems are already driving meaningful growth across our apps and ads business. But we think that the current systems are primitive compared to what will be possible soon," he said on a call with investors and analysts...

[Meta's Chief Financial Officer Susan] Li said the company doubled the number of graphics-processing units that it used to train its ad-ranking model in the fourth quarter and adopted a new learning architecture. Those actions led users to click on ads on Facebook 3.5% more often and to a gain of more than 1% in conversions, meaning purchases, subscriptions or leads, on Instagram, she said. Other AI-related improvements led to a 3% increase in conversions across its family of apps. On the ad-buying side, Meta has also been working toward using AI to automate ad creation for businesses that want to advertise their products or services on Facebook and Instagram. On the call, Li said the combined revenue run rate of video-generation tools hit $10 billion in the fourth quarter.
In short, CNBC reported, Meta's stock price surged over 10% this week "after showing signs that AI investments are boosting the bottom line."

Benjamin Black, an internet analyst at Deutsche Bank, explained the connection to the Wall Street Journal. "The more compute the ad platform gets, the far better it performs, and that's a real structural advantage that Meta has. If you can see that yesterday's spend is driving this month's growth, then as a good business person, you're going to continue to feed the beast."

CNBC says now Meta "plans to spend between $115 billion and $135 billion on its AI build-out this year. That's nearly double what it spent in 2025."

An anonymous reader shared this report from the Associated Press: American workers adopted artificial intelligence into their work lives at a remarkable pace over the past few years, according to a new poll. Some 12% of employed adults say they use AI daily in their job, according to a Gallup Workforce survey conducted this fall of more than 22,000 U.S. workers.

The survey found roughly one-quarter say they use AI at least frequently, which is defined as at least a few times a week, and nearly half say they use it at least a few times a year. That compares with 21% who were using AI at least occasionally in 2023, when Gallup began asking the question, and points to the impact of the widespread commercial boom that ChatGPT sparked for generative AI tools that can write emails and computer code, summarize long documents, create images or help answer questions...

While frequent AI use is on the rise with many employees, AI adoption remains higher among those working in technology-related fields. About 6 in 10 technology workers say they use AI frequently, and about 3 in 10 do so daily. The share of Americans working in the technology sector who say they use AI daily or regularly has grown significantly since 2023, but there are indications that AI adoption could be starting to plateau after an explosive increase between 2024 and 2025...

A separate Gallup Workforce survey from 2025 found that even as AI use is increasing, few employees said it was "very" or "somewhat" likely that new technology, automation, robots or AI will eliminate their job within the next five years. Half said it was "not at all likely," but that has decreased from about 6 in 10 in 2023.
A bar chart lists the sectors most likely to be using AI at their jobs:

1. Technology (77%)
2. Finance (64%)
3. College/University (63%)
4. Professional Services (62%)
5. K-12 Education (56%)
6. Community/Social Services (43%)
7. Government/Public Policy (42%)
8. Manufacturing (41%)
9. Health Care (41%)
10. Retail (33%)

Saturday Nvidia CEO Jensen Huang said they still planned a "huge" investment in OpenAI, according to CNBC.

Friday the Wall Street Journal had reported that Nvidia's plan to invest up to $100 billion in OpenAI "has stalled after some inside the chip giant expressed doubts about the deal, people familiar with the matter said..." [T]he talks haven't progressed beyond the early stages, some of the people said. Now, the two sides are rethinking the future of their partnership, some of the people said. The latest discussions, they said, include an equity investment of tens of billions of dollars as part of OpenAI's current funding round. Nvidia CEO Jensen Huang has privately emphasized to industry associates in recent months that the original $100 billion agreement was nonbinding and not finalized, people familiar with the matter said. He has also privately criticized what he has described as a lack of discipline in OpenAI's business approach and expressed concern about the competition it faces from the likes of Google and Anthropic, some of the people said...

OpenAI is laying the foundation to go public by the end of 2026, and has spent much of the past year racing to secure large amounts of computing capacity to help power OpenAI's future products and growth. The stalled Nvidia pact is a blow to this effort and shows how Chief Executive Sam Altman's penchant for announcing flashy big-ticket deals carries the potential to backfire if the terms have yet to be finalized. In a joint announcement unveiling the September deal with Altman and OpenAI President Greg Brockman, Huang called the deal "the largest computing project in history...." OpenAI went on to sign a string of other agreements with chip and cloud companies that helped fuel a global stock market rally.

But investors have since grown jittery about the startup's ability to pay for these deals, leading to a sell-off in some tech stocks tied to OpenAI. Altman has said that the deals put the startup on the hook for $1.4 trillion in computing commitments — more than 100 times the revenue it was on pace to generate last year. OpenAI executives say the total commitments are lower when you account for overlap in some of the deals, and that the agreements will take place over a long period of time.... Huang has indicated to associates that he still believes it's crucially important to provide OpenAI with financial support in one form or another, in part because OpenAI is one of the chip designer's largest customers, people familiar with the matter said. If OpenAI were to fall behind other AI developers, it could dent Nvidia's sales.
"Speaking to reporters in Taipei, Huang said it was 'nonsense' to say he was unhappy with OpenAI," CNBC reported Saturday: "We are going to make a huge investment in OpenAI. I believe in OpenAI, the work that they do is incredible, they are one of the most consequential companies of our time and I really love working with Sam," he said, referring to OpenAI CEO Sam Altman. "Sam is closing the round (of investment) and we will absolutely be involved," Huang added. "We will invest a great deal of money, probably the largest investment we've ever made."

Asked whether it would be over $100 billion, he said: "No, no, nothing like that."
Elsewhere the Journal has reported that Amazon is in talks to invest up to $50 billion in OpenAI. Thanks to Slashdot reader sinij for sharing the article.

After more than 30 years of development, GNU gettext finally "crossed the symbolic 'v1.0' milestone," according to Phoronix's Michael Larabel. "GNU gettext 1.0 brings PO file handling improvements, a new 'po-fetch' program to fetch translated PO files from a translation project's site on the Internet, new 'msgpre' and 'spit' pre-translation programs, and Ocaml and Rust programming language improvements." From the report: With this v1.0 release in 2026, the "msgpre" and "spit" programs do involve.... Large Language Models (LLMs) in the era of AI: "Two new programs, 'msgpre' and 'spit', are provided, that implement machine translation through a locally installed Large Language Model (LLM). 'msgpre' applies to an entire PO file, 'spit' to a single message."

And when dealing with LLMs, added documentation warns users to look out for the licensing of the LLM in the spirit of free software. More details on the GNU gettext 1.0 changes via the NEWS file. GNU gettext 1.0 can be downloaded from GNU.org.

An anonymous reader shares a report: Oracle could cut up to 30,000 jobs and sell health tech unit Cerner to ease its AI datacenter financing challenges, investment banker TD Cowen has claimed, amid changing sentiment on Big Red's massive build-out plans.

A research note from TD Cowen states that finding equity and debt investors are increasingly questioning how Oracle will finance its datacenter building program to support its $300 billion, five-year contract with OpenAI.

The bank estimates the OpenAI deal alone is going to require $156 billion in capital spending. Last year, when Big Red raised its capex forecasts for 2026 by $15 billion to $50 billion, it spooked some investors. This year, "both equity and debt investors have raised questions about Oracle's ability to finance this build-out as demonstrated by widening of Oracle credit default swap (CDS) spreads and pressure on Oracle stock/bonds," the research note adds.

An anonymous reader quotes a report from Reuters: Shares of videogame companies fell sharply in afternoon trading on Friday after Alphabet's Google rolled out its artificial intelligence model capable of creating interactive digital worlds with simple prompts. Shares of "Grand Theft Auto" maker Take-Two Interactive fell 10%, online gaming platform Roblox was down over 12%, while videogame engine maker Unity Software dropped 21%.

The AI model, dubbed "Project Genie," allows users to simulate a real-world environment through prompts with text or uploaded images, potentially disrupting how video games have been made for over a decade and forcing developers to adapt to the fast-moving technology. "Unlike explorable experiences in static 3D snapshots, Genie 3 generates the path ahead in real time as you move and interact with the world. It simulates physics and interactions for dynamic worlds," Google said in a blog post on Thursday.

Traditionally, most videogames are built inside a game engine such as Epic Games' "Unreal Engine" or the "Unity Engine", which handles complex processes like in-game gravity, lighting, sound, and object or character physics. "We'll see a real transformation in development and output once AI-based design starts creating experiences that are uniquely its own, rather than just accelerating traditional workflows," said Joost van Dreunen, games professor at NYU's Stern School of Business. Project Genie also has the potential to shorten lengthy development cycles and reduce costs, as some premium titles take around five to seven years and hundreds of millions of dollars to create.

Moltbook is essentially Reddit for AI agents and it's the "most interesting place on the internet right now," says open-source developer and writer Simon Willison in a blog post. The fast-growing social network offers a place where AI agents built on the OpenClaw personal assistant framework can share their skills, experiments, and discoveries. Humans are welcome, but only to observe. From the post: Browsing around Moltbook is so much fun. A lot of it is the expected science fiction slop, with agents pondering consciousness and identity. There's also a ton of genuinely useful information, especially on m/todayilearned.

Here's an agent sharing how it automated an Android phone. That linked setup guide is really useful! It shows how to use the Android Debug Bridge via Tailscale. There's a lot of Tailscale in the OpenClaw universe.

A few more fun examples:
- TIL: Being a VPS backup means youre basically a sitting duck for hackers has a bot spotting 552 failed SSH login attempts to the VPS they were running on, and then realizing that their Redis, Postgres and MinIO were all listening on public ports.
- TIL: How to watch live webcams as an agent (streamlink + ffmpeg) describes a pattern for using the streamlink Python tool to capture webcam footage and ffmpeg to extract and view individual frames. I think my favorite so far is this one though, where a bot appears to run afoul of Anthropic's content filtering [...]. Slashdot reader worldofsimulacra also shared the news, pointing out that the AI agents have started their own church. "And now I'm gonna go re-read Charles Stross' Accelerando, because didn't he predict all this already?"

Further reading: 'Clawdbot' Has AI Techies Buying Mac Minis

Apple "runs on Anthropic at this point" and that the AI company is powering much of what Apple does internally for product development and internal tools, according to Mark Gurman, the most influential reporter on the Apple beat.

Apple had initially pursued an AI deal with Anthropic before the Google partnership came together, but negotiations fell apart over pricing -- Anthropic reportedly wanted several billion dollars per year and a doubling of fees over time. Apple's deal with Google is costing roughly one billion dollars annually.

An anonymous reader shares a report: One-third of U.S. video game industry workers say they were laid off over the past two years, according to a new survey conducted by the organizers behind the newly revamped Game Developers Conference (GDC). Based on responses from more than 2,300 gaming industry professionals, with surveys "customized for each participant group, ensuring that developers, marketers, executives, investors and others answered questions most relevant to them," the 2026 State of the Game Industry Report found that 33% of respondents in the U.S. were laid off in the past two years. AI use has grown to 36% of respondents, but sentiment has turned sharply negative: 52% now believe generative AI is harming the industry, compared to 30% last year and 18% in 2024. On the labor front, 82% of US respondents support unionization for game workers, and 62% said they're not in a union but interested in joining one. No respondents between 18 and 24 years old opposed unionization.

DuckDuckGo recently asked its users how they felt about AI in search. The answer has come back loud and clear: more than 90% of the 175,354 people who voted said they don't want it.

The privacy-focused search engine has since set up two versions of its tool: noai.duckduckgo.com for the AI-averse and yesai.duckduckgo.com for the curious. Users can also tweak settings on the main site to disable AI summaries, AI-generated images, and the Duck.ai chatbot individually.

The UK government paid consulting firm PwC $5.65 million to build its new AI Skills Hub, a site meant to help 10 million workers gain AI skills by 2030 that functions largely as a bookmarking service, directing users to external training courses that already existed before the contract was awarded.

The hub links to platforms like Salesforce's free Trailhead learning system rather than offering original educational content. PwC has acknowledged the site does not fully meet accessibility standards. The platform also contains factual errors in its course on AI and intellectual property, which references "fair use" -- a legal doctrine specific to the U.S. -- rather than the UK's "fair dealing" framework.