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DesScorp writes: CNBC reports that new data from the National Student Clearinghouse indicates that enrollment growth in four year degree programs is slowing down, while growth in two year and certification programs is accelerating: Enrollments in undergraduate certificate and associate degree programs both grew by about 2% in fall 2025, while enrollment in bachelor's degree programs rose by less than 1%, the report found. Community colleges now enroll 752,000 students in undergraduate certificate programs -- a 28% jump from just four years ago. Overall, undergraduate enrollment growth was fueled by more students choosing to attend community college, the report found. "Community colleges led this year with a 3% increase, driven by continued rising interest in those shorter job-aligned certificate programs," said Matthew Holsapple, the National Student Clearinghouse Research Center's senior director of research. For one thing, community college is significantly less expensive. At two-year public schools, tuition and fees averaged $4,150 for the 2025-2026 academic year, according to the College Board. Alternatively, at four-year public colleges, in-state tuition and fees averaged $11,950, and those costs at four-year private schools averaged $45,000. A further factor driving this new growth is that Pell Grants are now available for job-training courses like certifications.

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Investors upset that company failed to inform them might need to take out even more debt.

Datacenters don't come cheap. Oracle debt bond holders are suing the tech giant, because they say that the company didn't tell them it would need to borrow even more money after its original sale, making their purchases less valuable.…

Office workers without AI experience warned to watch for prompt injection attacks - good luck with that

Anthropic's tendency to wave off prompt-injection risks is rearing its head in the company's new Cowork productivity AI, which suffers from a Files API exfiltration attack chain first disclosed last October and acknowledged but not fixed by Anthropic.…

SRAM-heavy compute architecture promises real-time agents, extended reasoning capabilities to bolster Altman's valuation

OpenAI says it will deploy 750 megawatts worth of Nvidia competitor Cerebras' dinner-plate sized accelerators through 2028 to bolster its inference services.…

An anonymous reader shares a report: Microsoft's library of books is so heavy that it once caused a campus building to sink, according to an unproven legend among employees. Now those physical books, journals, and reports, and many of Microsoft's digital subscriptions to leading US newspapers, are disappearing in a shift described inside Microsoft as an "AI-powered learning experience." Microsoft started cutting back on its employee subscriptions to news and reports services in November, with some publishers receiving an automated email cancellation of a contract. [...] Strategic News Service (SNS), which has provided global reports to Microsoft's roughly 220,000 employees and executives for more than 20 years, is no longer part of Microsoft's subscription list.

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Many people who stop using weight loss drugs will return to their previous weight within two years, a new review of existing research has found. CNN adds: This rate of weight regain is significantly faster than that seen in those who have lost weight by changing other lifestyle factors, such as diet and exercise, rather than relying on GLP-1 medications, researchers from the University of Oxford report in a paper published Wednesday in The BMJ journal. GLP-1, which stands for glucagon-like peptide-1, is a hormone naturally made by the body that helps signal to the brain and the gut that it's full and doesn't need to eat any more. Weight loss drugs mimic the action of this hormone by increasing the secretion of insulin to lower blood sugar. They also slow the movement of food through the digestive tract, which helps people feel full more quickly and for longer, and they work in the brain to reduce appetite.

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Amazon wants a federal judge to reject Saks Global's bankruptcy financing plan, writing in court papers the beleaguered department store "burned through hundreds of millions of dollars in less than a year" and failed to hold up their agreement. From a report: When Saks acquired Neiman Marcus for $2.7 billion in December 2024, Amazon invested $475 million into the venture on the grounds the retailer would start selling its products on Amazon's website and the tech company would offer technology and logistics expertise. "That equity investment is now presumptively worthless," Amazon's attorneys wrote in a Wednesday filing, hours after Saks filed for Chapter 11 bankruptcy protection. "Saks continuously failed to meet its budgets, burned through hundreds of millions of dollars in less than a year, and ran up additional hundreds of millions of dollars in unpaid invoices owed to its retail partners." As part of the deal, Saks launched a branded "Saks at Amazon" storefront on the e-commerce company's website featuring a range of luxury fashion and beauty items. It also agreed to pay a referral fee for Saks-branded goods sold on the platform, guaranteeing at least $900 million in payments to Amazon over eight years.

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American buses in cities like New York and San Francisco crawl along at about eight miles per hour -- barely faster than a brisk walk -- and one surprisingly simple fix could make them faster without requiring new infrastructure or controversial policy changes. The issue, according to a Works in Progress analysis, is that US bus stops sit far too close together. Mean spacing in American cities is roughly 313 meters, about five stops per mile, while older cities like Philadelphia, Chicago and San Francisco pack stops even tighter at 214, 223 and 248 meters respectively. European cities typically space stops at 300 to 450 meters. Each stop costs time: passengers boarding and exiting, acceleration and deceleration, buses kneeling for wheelchairs, missed traffic light cycles. Buses spend about 20% of their operating time just stopping and starting, and since labor accounts for the majority of transit operating costs, slower buses translate directly to higher expenses. Cities that have tried spacing stops further apart have seen results. San Francisco recorded a 4.4 to 14% increase in travel speeds by reducing from six stops per mile to two and a half. Vancouver's pilot removed a quarter of stops and cut average trip times by five minutes while saving about $500,000 annually on a single route. A McGill study found that even substantial stop consolidation reduced overall system coverage by just 1%.

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Apple, which spent years as TSMC's undisputed top customer and helped the Taiwanese foundry become the semiconductor industry's most important manufacturer, is now fighting for production capacity as Nvidia's AI chip orders consume an ever-larger share of the company's leading-edge wafer supply. TSMC CEO CC Wei visited Cupertino last August to deliver unwelcome news: Apple would face the largest price increase in years and the iPhone maker would no longer have guaranteed access to production capacity across TSMC's nearly two dozen fabs. According to Culpium analysis and its supply chain sources, Nvidia likely overtook Apple as TSMC's largest customer in at least one or two quarters of 2025. TSMC's revenue climbed 36% last year to $122 billion, the company reported Thursday.

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The chatbot's challenges no longer just Elon Musk’s problem, as campaigners call on tech giants to step in

The ongoing Grok fiasco has claimed two more unwilling participants, as campaigners demand Apple and Google boot X and its AI sidekick out of their app stores, because of the Elon Musk-owned AI's tendency to produce illicit images of real people.…

Wikipedia turns 25 today, and the online encyclopedia is celebrating that with an announcement that it has signed new licensing deals with a slate of major AI companies -- Amazon, Microsoft, Meta Platforms, Perplexity and Mistral AI. The deals allow these companies to access Wikipedia content "at a volume and speed designed specifically for their needs." The Wikimedia Foundation did not disclose financial terms. Google had already signed on as one of the first enterprise customers back in 2022. The agreements follow the Wikimedia Foundation's push last year for AI developers to pay for access through its enterprise platform. The foundation said human traffic had fallen 8% while bot visits -- sometimes disguised to evade detection -- were heavily taxing its servers. Wikipedia founder Jimmy Wales said he welcomes AI training on the site's human-curated content but that companies "should probably chip in and pay for your fair share of the cost that you're putting on us." The site remains the ninth most visited on the internet, hosting more than 65 million articles in 300 languages maintained by some 250,000 volunteer editors.

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And it's 'not unique to AWS,' researcher tells The Reg

A critical misconfiguration in AWS's CodeBuild service allowed complete takeover of the cloud provider's own GitHub repositories and put every AWS environment in the world at risk, according to Wiz security researchers.…

Anthropic's fourth installment of its Economic Index, drawing on an anonymized sample of two million Claude conversations from November 2025, finds that AI is changing how people work rather than whether they work at all. The study tracked usage across the company's consumer-facing Claude.ai platform and its API, categorizing interactions as either automation (where AI completes tasks entirely) or augmentation (where humans and AI collaborate). The split came out to 52% augmentation and 45% automation on Claude.ai, a slight shift from January 2025 when augmentation led 55% to 41%. The share of jobs using AI for at least a quarter of their tasks has risen from 36% in January to 49% across pooled data from multiple reports. Anthropic's researchers also found that AI delivers its largest productivity gains on complex work requiring college-level education, speeding up those tasks by a factor of 12 compared to 9 for high-school-level work. Claude completes college-degree tasks successfully 66% of the time versus 70% for simpler work. Computer and mathematical tasks continue to dominate usage, accounting for roughly a third of Claude.ai conversations and nearly half of API traffic.

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When margins are this tight, mergers might follow

The memory shortage is forecast to push smartphone prices higher in 2026, triggering a market decline and forcing budget phone makers to merge or disappear.…

January patch trips up Azure Virtual Desktop and Windows 365 authentication

Microsoft has kicked off 2026 with another faulty Windows update. This time, it is connection and authentication failures in Azure Virtual Desktop and Windows 365 related to the Windows App.…

White-collar workers stuck in a cycle of layoffs and stagnant wages might want to look past the traditional tech, finance and media job postings to an unexpected source of opportunity: the blue-collar sector, which faces a labor shortage and is seeing rapid transformation through private-equity investment. These jobs are generally less vulnerable to AI, and the earning trajectory can be steep, the WSJ writes. At Crash Champions, a car-repair chain that has grown from 13 locations in 2019 to about 650 shops across 38 states, service advisers start at roughly $60,000 after a six-month apprenticeship and can double that within 18 months, according to CEO Matt Ebert. Directors overseeing multiple locations earn more than $200,000. Power Home Remodeling, a PE-backed construction company, says tech sales professionals earning $85,000 to $100,000 could make lateral moves after a 10-week training program. The share of workers in their early 20s employed in blue-collar roles rose from 16.3% in 2019 to 18.4% in 2024, according to ADP -- five times the increase among 35- to 39-year-olds.

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Research shows erroneous training in one domain affects performance in another, with concerning implications

Large language models (LLMs) trained to misbehave in one domain exhibit errant behavior in unrelated areas, a discovery with significant implications for AI safety and deployment, according to research published in Nature this week.…

Smart Driver pitched as safety app, but feds claim it's a data-harvesting scheme that jacked up premiums

The Federal Trade Commission has banned General Motors and subsidiary OnStar from sharing drivers' precise location and behavior data with consumer reporting agencies for five years under a 20-year consent order finalized January 14.…

Suspect assisting West Midlands Police over alleged theft at Walsall GP practice

The UK's West Midlands Police has released a woman on bail as part of an investigation into a data breach at a Walsall general practitioner's (GP) surgery.…

An anonymous reader quotes a report from TechCrunch: Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI's new model when he made an unexpected discovery. After pasting the problem into ChatGPT and letting it think for 15 minutes, he came back to a full solution. He evaluated the proof and formalized it with a tool called Harmonic -- but it all checked out. "I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they struggle," Somani said. The surprise was that, using the latest model, the frontier started to push forward a bit. ChatGPT's chain of thought is even more impressive, rattling off mathematical axioms like Legendre's formula, Bertrand's postulate, and the Star of David theorum. Eventually, the model found a Math Overflow post from 2013, where Harvard mathematician Noam Elkies had given an elegant solution to a similar problem. But ChatGPT's final proof differed from Elkies' work in important ways, and gave a more complete solution to a version of the problem posed by legendary mathematician Paul Erdos, whose vast collection of unsolved problems has become a proving ground for AI. For anyone skeptical of machine intelligence, it's a surprising result -- and it's not the only one. AI tools have become ubiquitous in mathematics, from formalization-oriented LLMs like Harmonic's Aristotle to literature review tools like OpenAI's deep research. But since the release of GPT 5.2 -- which Somani describes as "anecdotally more skilled at mathematical reasoning than previous iterations" -- the sheer volume of solved problems has become difficult to ignore, raising new questions about large language models' ability to push the frontiers of human knowledge. Somani examined the online archive of more than 1,000 Erdos conjectures. Since Christmas, 15 Erdos problems have shifted from "open" to "solved," with 11 solutions explicitly crediting AI involvement. On GitHub, mathematician Terence Tao identifies eight Erdos problems where AI made meaningful autonomous progress and six more where it advanced work by finding and extending prior research, noting on Mastodon that AI's scalability makes it well suited to tackling the long tail of obscure, often straightforward Erdos problems. Progress is also being accelerated by a push toward formalization, supported by tools like the open-source "proof assistant" Lean and newer AI systems such as Harmonic's Aristotle.

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