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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.

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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.

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Scientists are working to sequence the genome of every known species on Earth.Scientists are working to sequence the genome of every known species on Earth.

We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard.We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard.

Luthair writes: Notepad++ claims to have been targeted by a state actor, given their previous stance on Uyghurs one can speculate about a candidate. Notepad++, in a blog post: According to the analysis provided by the security experts, the attack involved infrastructure-level compromise that allowed malicious actors to intercept and redirect update traffic destined for notepad-plus-plus.org. The exact technical mechanism remains under investigation, though the compromise occurred at the hosting provider level rather than through vulnerabilities in Notepad++ code itself. Traffic from certain targeted users was selectively redirected to attacker-controlled served malicious update manifests.

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The U.S. laid fiber-optic cables to a record number of homes last year as billions of dollars in federal broadband grants and a surge in data-center construction fueled an enormous buildout, but the industry does not have enough workers to sustain the pace. A 2024 report by the Fiber Broadband Association and the Power & Communication Contractors Association projects 58,000 new fiber jobs between 2025 and 2032 and estimates 120,000 workers will leave the field in that period, mostly through retirement -- a combined shortage of 178,000. The gap is especially acute among splicers, who fuse hair-thin filaments by hand, and directional drill operators. Telecommunications line installers and repairers earned annual median wages of $70,500 for the year ended May 2024, according to the Bureau of Labor Statistics, against a $49,500 national median. Push, a utility-construction firm, raised hourly pay for fiber crews by 5% to 8% in each of the past several years and expects the pace to quicken.

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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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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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5 terminal commands I run on every fresh Linux install  MakeUseOf

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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Intel ISH Firmware Upstreamed For Linux With Dell's New Panther Lake Laptops  Phoronix

Raspberry Pi prices are rising again by up to $60  GamingOnLinux

Origami Linux Introduces an Immutable OS Built Around COSMIC  Linuxiac

Help! Does anyone on the bus know Linux?  theregister.com

Steam Survey for January 2026 shows a small drop for Linux and macOS  GamingOnLinux

Steam Survey Results For January 2026  Phoronix

ShadowHS: New Stealthy Fileless Linux Malware Spreads Automatically  gbhackers.com

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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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."

Read more of this story at Slashdot.

An Event Badge Re-Imagined As A Cyberdeck  Hackaday