An anonymous reader quotes a report from Bloomberg: Shares of Apple were battered earlier this year as the iPhone maker faced repeated complaints about its lack of an artificial intelligence strategy. But as the AI trade faces increasing scrutiny, that hesitance has gone from a weakness to a strength -- and it's showing up in the stock market. Through the first six months of 2025, Apple was the second-worst performer among the Magnificent Seven tech giants, as its shares tumbled 18% through the end of June. That has reversed since then, with the stock soaring 35%, while AI darlings like Meta Platforms and Microsoft slid into the red and even Nvidia underperformed. The S&P 500 Index rose 10% in that time, and the tech-heavy Nasdaq 100 Index gained 13%. [...] As a result, Apple now has a $4.1 trillion market capitalization and the second biggest weight in the S&P 500, leaping over Microsoft and closing in on Nvidia. The shift reflects the market's questioning of the hundreds of billions of dollars Big Tech firms are throwing at AI development, as well as Apple's positioning to eventually benefit when the technology is ready for mass use. "It is remarkable how they have kept their heads and are in control of spending, when all of their peers have gone the other direction," said John Barr, portfolio manager of the Needham Aggressive Growth Fund.

Bill Stone, chief investment officer at Glenview Trust Company, added: "While they most certainly will incorporate more AI into the phones over time, Apple has avoided the AI arms race and the massive capex that accompanies it." His company views Apple's stock as "a bit of an anti-AI holding."

Microsoft has announced that it will raise prices on its Microsoft 365 productivity suites for businesses and government clients starting in July 2026, marking the first commercial price increase since 2022. Small business and frontline worker plans face the steepest hikes: Business Basic jumps 16.7% to $7 per user per month, while frontline worker subscriptions surge up to 33%. Enterprise plans see more modest bumps, ranging from 5.3% for E5 to 8.3% for E3. Microsoft attributed the increases to more than 1,100 new features added to the suite, including AI-driven tools and security enhancements. Copilot remains a separate $30-per-month add-on.

Microsoft announced on Tuesday its largest-ever investment in Asia -- $17.5 billion over four years starting in 2026 -- to expand cloud and AI infrastructure across India, fund skilling programs, and support ongoing operations in the country. The commitment adds to a $3 billion investment the company announced in January 2025 that is on track to be spent by the end of 2026. A new hyperscale cloud region in Hyderabad is set to go live in mid-2026 and will be Microsoft's largest in India, comprising three availability zones.

The company also plans to integrate AI into two government employment platforms -- e-Shram and the National Career Service -- that serve more than 310 million informal workers. Microsoft is doubling its India skilling target to 20 million people by 2030; since January, it has already trained 5.6 million.

A tenured USC professor is arguing that universities need to fundamentally rethink their value proposition as AI rapidly closes the gap on human instruction and a loneliness epidemic grips the generation most likely to be sitting in their lecture halls. Eric Anicich, an associate professor at USC's Marshall School of Business, wrote in the Los Angeles Times that nearly three-quarters of 16- to 24-year-olds now report feeling lonely, young adults spend 70% less time with friends in person compared to two decades ago, and a growing majority of Gen Z college graduates say their degree was a "waste of money."

Anicich points to a recent Harvard study finding that students using an AI tutor learned more than twice as much as those in traditional active-learning classes, and did so in less time. The implication is stark: if instruction becomes abundant and cheap, colleges must sell what remains scarce -- genuine human community. He notes that his doctoral training included zero coursework on teaching, a norm he says persists across academia. His proposal: fund student life as seriously as research labs, hire professional "experience designers," and treat rituals and collaborative projects as core curriculum rather than amenities.

Microsoft Excel, the 40-year-old spreadsheet application that helped establish personal computers as essential workplace tools and contributed to Microsoft's current valuation of nearly $4 trillion, has weathered both the rise of cloud computing and the current AI boom largely unscathed. In its most recent quarter, commercial revenue for Microsoft 365 -- the bundle including Excel, Word, and PowerPoint -- increased 17% year over year, and consumer revenue rose 28%.

The software traces its origins to a 1983 Microsoft offsite under the code name Odyssey, where engineers set out to clone Lotus 1-2-3. That program had itself cloned VisiCalc, the first computerized spreadsheet, created by Dan Bricklin for the Apple II in the late 1970s. Bricklin never patented VisiCalc. "Financially it would have been great if we'd have been able to patent it," he told Bloomberg. "And there would be a Bricklin Building at MIT, instead of a Gates Building."

Excel now counts an estimated 500 million paying users. The Pentagon pays for 2 million Microsoft 365 licenses. Google's free Sheets product, launched in 2006, captured casual use cases like potluck sign-ups but failed to dislodge Excel from enterprise work. AI chatbots present the latest challenge, but venture capitalists say nearly every AI spreadsheet startup they meet builds on top of Excel rather than replacing it.

Researchers and moderators are increasingly concerned that ChatGPT-style language is bleeding into everyday speech and writing. The topic has been explored in the past but "two new, more anecdotal reports, suggest that our chatbot dialect isn't just something that can be found through close analysis of data," reports Gizmodo. "It might be an obvious, every day fact of life now." Slashdot reader joshuark shares an excerpt from the report: Over on Reddit, according to a new Wired story by Kat Tenbarge, moderators of certain subreddits are complaining about AI posts ruining their online communities. It's not new to observe that AI-armed spammers post low-value engagement bait on social media, but these are spaces like r/AmItheAsshole, r/AmIOverreacting, and r/AmITheDevil, where visitors crave the scintillation or outright titillation of bona fide human misbehavior. If, behind the scenes, there's not really a grieving college student having her tuition cut off for randomly flying off the handle at her stepmom, there's no real fun to be had. The mods in the Wired story explain how they detect AI content, and unfortunately their methods boil down to "It's vibes." But one novel struggle in the war against slop, the mods say, is that not only are human-written posts sometimes rewritten by AI, but mods are concerned that humans are now writing like AI. Humans are becoming flesh and blood AI-text generators, muddying the waters of AI "detection" to the point of total opacity.

As "Cassie" an r/AmItheAsshole moderator who only gave Wired her first name put it, "AI is trained off people, and people copy what they see other people doing." In other words, Cassie said, "People become more like AI, and AI becomes more like people." Meanwhile, essayist Sam Kriss just explored the weird way chatbots "write" for the latest issue of the New York Times Magazine, and he discovered along the way that humans have accidentally taken cues from that weirdness. After parsing chatbots' strange tics and tendencies -- such as overusing the word "delve" most likely because it's in a disproportional number of texts from Nigeria, where that word is popular -- Kriss refers to a previously reported trend from over the summer. Members of the U.K. Parliament were accused of using ChatGPT to write their speeches.

The thinking goes that ChatGPT-written speeches contained the phrase "I rise to speak," an American phrase, used by American legislators. But Kriss notes that it's not just showing up from time to time. It's being used with downright breathtaking frequency. "On a single day this June, it happened 26 times," he notes. While 26 different MPs using ChatGPT to write speeches is not some scientific impossibility, it's more likely an example of chatbots, "smuggling cultural practices into places they don't belong," to quote Kriss again. So when Kriss points out that when Starbucks locations were closing in September, and signs posted on the doors contained tortured sentences like, "It's your coffeehouse, a place woven into your daily rhythm, where memories were made, and where meaningful connections with our partners grew over the years," one can't state with certainty that this is AI-generated text (although let's be honest: it probably is).

Anthropic is bringing Claude Code directly into Slack, letting developers spin up coding sessions from chat threads and automate workflows without leaving the app. TechCrunch reports: Previously, developers could only get lightweight coding help via Claude in Slack -- like writing snippets, debugging, and explanations. Now they can tag @Claude to spin up a complete coding session using Slack context like bug reports or feature requests. Claude analyzes recent messages to determine the right repository, posts progress updates in threads, and shares links to review work and open pull requests.

The move reflects a broader industry shift: AI coding assistants are migrating from IDEs (integrated development environment, where software development happens) into collaboration tools where teams already work. [...] While Anthropic has not yet confirmed when it would make a broader rollout available, the timing is strategic. The AI coding market is getting more competitive, and differentiation is starting to depend more on integration depth and distribution than model capability alone.

An anonymous reader quotes a report from the Guardian: A coalition of more than 230 environmental groups has demanded a national moratorium on new datacenters in the U.S., the latest salvo in a growing backlash to a booming artificial intelligence industry that has been blamed for escalating electricity bills and worsening the climate crisis. The green groups, including Greenpeace, Friends of the Earth, Food & Water Watch and dozens of local organizations, have urged members of Congress to halt the proliferation of energy-hungry datacenters, accusing them of causing planet-heating emissions, sucking up vast amounts of water and exacerbating electricity bill increases that have hit Americans this year.

"The rapid, largely unregulated rise of datacenters to fuel the AI and crypto frenzy is disrupting communities across the country and threatening Americans' economic, environmental, climate and water security," the letter states, adding that approval of new data centers should be paused until new regulations are put in place. The push comes amid a growing revolt against moves by companies such as Meta, Google and Open AI to plow hundreds of billions of dollars into new datacenters, primarily to meet the huge computing demands of AI. At least 16 datacenter projects, worth a combined $64 billion, have been blocked or delayed due to local opposition to rising electricity costs. The facilities' need for huge amounts of water to cool down equipment has also proved controversial, particularly in drier areas where supplies are scarce. [...]

At the current rate of growth, datacenters could add up to 44m tons of carbon dioxide to the atmosphere by 2030, equivalent to putting an extra 10m cars on to the road and exacerbating a climate crisis that is already spurring extreme weather disasters and ripping apart the fabric of the American insurance market. But it is the impact upon power bills, rather than the climate crisis, that is causing anguish for most voters, acknowledged Emily Wurth, managing director of organizing at Food & Water Watch, the group behind the letter to lawmakers. "I've been amazed by the groundswell of grassroots, bipartisan opposition to this, in all types of communities across the US," said Wurth. "Everyone is affected by this, the opposition has been across the political spectrum. A lot of people don't see the benefits coming from AI and feel they will be paying for it with their energy bills and water."

"It's an important talking point. We've seen outrageous utility price rises across the country and we are going to lean into this. Prices are going up across the board and this is something Americans really do care about."

IBM is buying Confluent for $11 billion in a major push to own real-time data streaming infrastructure essential for enterprise AI workloads. It marks Big Blue's biggest acquisition since Red Hat in 2019. Bloomberg reports: The AI boom has touched off billions of dollars in deals for businesses that build, train or leverage the technology, propelling the value of an entire ecosystem of data center developers, software makers, generative AI tool developers and data management firms. Mountain View, California-based Confluent sits in the data corner of that world, providing a platform for companies to gather -- or "stream" -- and analyze data in real time as opposed to shipping data in clunkier batches.

Manufacturers such as Michelin, for example, have used Confluent's platform to optimize their inventories of raw and semi-finished materials live. Instacart adopted Confluent to develop real-time fraud detection systems and gain more visibility into the availability of products sold on its grocery delivery platform. Businesses are increasingly tapping AI systems that manage tasks like this in real-time and require live flows of data to do so. IBM, which pioneered mainframe computers, has been trying to reposition its business around AI over the past few years. Under Chief Executive Officer Arvind Krishna, it's been buying software companies and selling generative AI-related services to enterprise clients. Software now makes up almost half its total revenue and continues to grow at a steady rate.

Google said it's working to create two different categories of artificial intelligence-powered smart glasses to compete next year with existing models from Meta Platforms: one with screens, and another that's audio focused. From a report: The first AI glasses that Google is collaborating on will arrive sometime in 2026, it said in a blog post Monday. Samsung Electronics, Warby Parker and Gentle Monster are among its early hardware partners, but the companies have yet to show any final designs. Google also outlined several software improvements coming to Samsung's Galaxy XR headset, including a travel mode that will allow the mixed-reality device to be used in cars and on planes.

Tech giants including Meta, Alphabet, Microsoft and Amazon have all extended the estimated useful lives of their servers and AI equipment over the past five years, sparking a debate among investors about whether these accounting changes are artificially inflating profits. Meta this year increased its depreciation timeline for most servers and network assets to 5.5 years, up from four to five years previously and as little as three years in 2020. The company said the change reduced its depreciation expense by $2.3 billion for the first nine months of 2025. Alphabet and Microsoft now use six-year periods, up from three in 2020. Amazon extended to six years by 2024 but cut back to five years this year for some servers and networking equipment.

Michael Burry, the investor portrayed in "The Big Short," called extending useful lives "one of the more common frauds of the modern era" in an article last month. Meta's total depreciation expense for the nine-month period was almost $13 billion against pretax profit exceeding $60 billion.

Amazon used its annual re:Invent cloud conference in Las Vegas to pitch a vision of the workplace where AI agents serve not as tools but as "co-workers" and "teammates," even as the company proceeds with eliminating roughly 14,000 corporate jobs in its second major workforce reduction in recent years.

AWS CEO Matt Garman predicted on stage that autonomous "frontier agents" could represent 80 to 90% of enterprise AI value. Colleen Aubrey, senior vice president of applied AI solutions, described a future where companies manage "teams" of agents capable of working autonomously for hours or days while humans shift into supervisory roles. Amazon has already deployed agentic systems across tens of thousands of its own engineers to triage outages and propose fixes. The company calls these systems "teammates" rather than tools. CEO Andy Jassy has warned that AI would shrink Amazon's workforce, though a spokesperson attributed the current cuts to "reducing bureaucracy" and "removing layers" rather than AI deployment.

AI is the second-largest major at M.I.T. after computer science, reports the New York Times. (Alternate URL here and here.) Though that includes students interested in applying AI in biology and health care — it's just the beginning: This semester, more than 3,000 students enrolled in a new college of artificial intelligence and cybersecurity at the University of South Florida in Tampa. At the University of California, San Diego, 150 first-year students signed up for a new A.I. major. And the State University of New York at Buffalo created a stand-alone "department of A.I. and society," which is offering new interdisciplinary degrees in fields like "A.I. and policy analysis...."

[I]nterest in understanding, using and learning how to build A.I. technologies is soaring, and schools are racing to meet rising student and industry demand. Over the last two years, dozens of U.S. universities and colleges have announced new A.I. departments, majors, minors, courses, interdisciplinary concentrations and other programs.
"This is so cool to me to have the opportunity to be at the forefront of this," one 18-year-old told the New York Times. Their article points out 62% of America's computing programs reported drops in undergraduate enrollment this fall, according to a report in October from the Computing Research Association.

"One reason for the dip: student employment concerns."

Thanks to long-time Slashdot reader theodp for sharing the article.

A hardware security response from ChatGPT ended with "Shop for home and groceries. Connect Target."

But "There are no live tests for ads" on ChatGPT, insists Nick Turley, OpenAI's head of ChatGPT. Posting on X.com, he said "any screenshots you've seen are either not real or not ads." Engadget reports The OpenAI exec's explanation comes after another post from former xAI employee Benjamin De Kraker on X that has gained traction, which featured a screenshot showing an option to shop at Target within a ChatGPT conversation. OpenAI's Daniel McAuley responded to the post, arguing that it's not an ad but rather an example of app integration that the company announced in October. [To which De Kraker responded "when brands inject themselves into an unrelated chat and encourage the user to go shopping at their store, that's an ad. The more you pretend this isn't an ad because you guys gave it a different name, the less users like or trust you."]

However, the company's chief research officer, Mark Chen, also replied on X that they "fell short" in this case, adding that "anything that feels like an ad needs to be handled with care."

"We've turned off this kind of suggestion while we improve the model's precision," Chen wrote on X. "We're also looking at better controls so you can dial this down or off if you don't find it helpful."

It runs locally, a free/open source home automation platform connecting all your devices together, regardless of brand. And GitHub's senior developer calls it "one of the most active, culturally important, and technically demanding open source ecosystems on the planet," with tens of thousands of contributors and millions of installations.

That's confirmed by this year's "Octoverse" developer survey... Home Assistant was one of the fastest-growing open source projects by contributors, ranking alongside AI infrastructure giants like vLLM, Ollama, and Transformers. It also appeared in the top projects attracting first-time contributors, sitting beside massive developer platforms such as VS Code... Home Assistant is now running in more than 2 million households, orchestrating everything from thermostats and door locks to motion sensors and lighting. All on users' own hardware, not the cloud. The contributor base behind that growth is just as remarkable: 21,000 contributors in a single year...

At its core, Home Assistant's problem is combinatorial explosion. The platform supports "hundreds, thousands of devices... over 3,000 brands," as [maintainer Franck Nijhof] notes. Each one behaves differently, and the only way to normalize them is to build a general-purpose abstraction layer that can survive vendor churn, bad APIs, and inconsistent firmware. Instead of treating devices as isolated objects behind cloud accounts, everything is represented locally as entities with states and events. A garage door is not just a vendor-specific API; it's a structured device that exposes capabilities to the automation engine. A thermostat is not a cloud endpoint; it's a sensor/actuator pair with metadata that can be reasoned about.

That consistency is why people can build wildly advanced automations. Frenck describes one particularly inventive example: "Some people install weight sensors into their couches so they actually know if you're sitting down or standing up again. You're watching a movie, you stand up, and it will pause and then turn on the lights a bit brighter so you can actually see when you get your drink. You get back, sit down, the lights dim, and the movie continues." A system that can orchestrate these interactions is fundamentally a distributed event-driven runtime for physical spaces. Home Assistant may look like a dashboard, but under the hood it behaves more like a real-time OS for the home...

The local-first architecture means Home Assistant can run on hardware as small as a Raspberry Pi but must handle workloads that commercial systems offload to the cloud: device discovery, event dispatch, state persistence, automation scheduling, voice pipeline inference (if local), real-time sensor reading, integration updates, and security constraints. This architecture forces optimizations few consumer systems attempt.
"If any of this were offloaded to a vendor cloud, the system would be easier to build," the article points out. "But Home Assistant's philosophy reverses the paradigm: the home is the data center..."

As Nijhof says of other vendor solutions, "It's crazy that we need the internet nowadays to change your thermostat."

Washington Post columnist Dana Milbank calls himself "a highly creative hypochondriac" — who just paid for an expensive MRI scan to locate abnormal spots as tiny as 2 millimeters.

He discusses the pros and cons of its "diffusion-weighted imaging" technology combined with the pattern recognition of AI, which theoretically "has the potential to save our lives by revealing budding cancers, silent aneurysms and other hidden would-be killers before they become deadly. " But the scans cost $2,500 a pop and insurance won't pay. Worse, for every cancer these MRIs find, they produce a slightly greater number of false positives that require a biopsy, with the potential for infection and bleeding and emotional distress. Even when the scans don't produce a false positive, they almost always come up with some vague and disconcerting abnormality.... Will we feel better after viewing our insides? Or will we become anxious about things we hadn't even thought to worry about?

Part of living has always been in the mystery, in not knowing what tomorrow will bring. Now, because of sophisticated imaging, genome sequencing and other revolutionary screening tools, we can have predictability, or at least the illusion of it. But do we want that? The American College of Radiology says we do not. Its still-current 2023 statement says there is not "sufficient evidence" to recommend full-body screening, cautioning that the scan could lead to needless testing and expense. But David Larson, chair of ACR's Commission on Quality and Safety, told me that could change as more data comes in. "When people ask me, 'Would you recommend it?' I would say it depends on your tolerance for ambiguity," he said, giving the example of somebody found to have a borderline aortic aneurysm who is advised to wait and monitor it. If "that won't keep you up at night, then I wouldn't necessarily recommend against it...."

About 1 in 20 gets that dreaded call. A study Prenuvo presented earlier this year of 1,011 participants found that 4.9 percent of scans required a follow-up biopsy. Of those, 2.2 percent were actually cancer, and the other 2.7 percent were false positives. Of the 22 cancers the scans caught, 86 percent of patients had no specific symptoms. But if finding something truly awful is rare, finding something abnormal is almost guaranteed. [Vikash Modi, Prenuvo's senior medical director of preventative medicine] said only 1 in 20 scans come back completely clean. The vast majority of patients wind up in the ambiguous realm where something may look suspicious but doesn't require urgent follow-up.
He opted for the cheaper $1,000 torso scan, which the senior medical director calls "our bread-and-butter area," since 17 of the 22 cancers detected in one Prenuvo study were in that area and is where they often find cancers that wouldn't be discovered until they were incurable like "that scary pancreatic stuff...."

Milbank's scan found 12 "abnormalities" included "a 2.5 mm pulmonary nodule in the right lower lobe" and "a 4.6 mm intraductal papillary mucinous neoplasm in the pancreatic tail" — but with 10 abnormalities labeled "minor" (and six being musculoskeletal wear-and-tear problems "I already knew about from the usual aches and pains".) Even the two "moderate" findings didn't sound that grim when I read on. The "indeterminant lesion" in my lung requires no follow-up, while the thing in my pancreas is "low-risk."... The "most interesting" finding was the pancreatic cyst, because, at this size and location, there's a 3 percent chance it will become cancerous in the next five years. But if annual follow-up scans of my pancreas (covered by insurance) show it's getting bigger, the cyst can be removed before it becomes cancer. For me, this made the MRI worthwhile. Sure, there was a 97 percent likelihood the cyst never would develop into a problem even if I hadn't learned about it. But now, with minimal inconvenience, I can eliminate that 3 percent risk of getting pancreatic cancer, the most lethal of major malignancies.

Bloomberg reports that Google "must renegotiate any contract to make its search engine or artificial intelligence app the default for smartphones and other devices every year, a federal judge ruled." Judge Amit Mehta in Washington sided with the US Justice Department on the one year limitation in his final ruling on what changes the search giant must make in the wake of a landmark ruling that the company illegally monopolized online search. The yearly renegotiation will give rivals — particularly those in the burgeoning generative AI field — a chance to compete for key placements.

The final judgment will still allow Google to offer its products to Apple Inc. for use in its popular iPhone and pay other electronics makers like Samsung Electronics Co. for default placement. But the judge said those contracts must be renegotiated annually. Mehta noted in his ruling that both Google and the US government said they could work with the one-year limitation on default contracts. As such, "the court holds that a hard-and-fast termination requirement after one year would best carry out the purpose of the injunctive relief."

"Researchers engineered a strained germanium layer on silicon that allows charge to move faster than in any silicon-compatible material to date," reports Science Daily. "This record mobility could lead to chips that run cooler, faster, and with dramatically lower energy consumption.

"The discovery also enhances the prospects for silicon-based quantum devices..." Scientists from the University of Warwick and the National Research Council of Canada have reported the highest "hole mobility" ever measured in a material that works within today's silicon-based semiconductor manufacturing.... The researchers created a nanometer-thin germanium epilayer on silicon that is placed under compressive strain. This engineered structure enables electric charge to move faster than in any previously known silicon-compatible material...

The findings establish a promising new route for ultra-fast, low-power semiconductor components. Potential uses include quantum information systems, spin qubits, cryogenic controllers for quantum processors, AI accelerators, and energy-efficient servers designed to reduce cooling demands in data centers. This achievement also represents a significant accomplishment for Warwick's Semiconductors Research Group and highlights the UK's growing influence in advanced semiconductor materials research.

What happened when a school in Los Angeles gave a sixth grader an iPad for use throughout the school day? "He used the iPad during school to watch YouTube and participate in Fortnite video game battles," reports NBC News.

His mother has now launched a coalition of parents called Schools Beyond Screens "organizing in WhatsApp groups, petition drives and actions at school board meetings and demanding meetings with district administrators, pressuring them to pull back on the school-mandated screen time." Los Angeles Unified is the first district of its size to face an organized — and growing — campaign by parents demanding that schools pull back on mandatory screen time. The discontent in Los Angeles Unified, the second-largest school district in the country, reflects a growing unease nationally about the amount of time children spend learning through screens in classrooms. While a majority of states prohibit children from using cellphones in class, 88% of schools provide students with personal devices, according to the National Center for Education Statistics, often Chromebook laptops or iPads. The parents hope getting a district that has over 409,000 students across nearly 800 schools to change how it approaches screen time would send a signal across public school districts to pull back from a yearslong effort to digitize classrooms....

[In the Los Angeles school district] Students in grade levels as low as kindergarten are provided iPads, and some schools require them to take the tablets home. Some teachers have allowed students to opt out of the iPad-based assignments, but other parents say they've been told that they can't. Parents can also opt their children out of having access to YouTube and several other Google products... The billion-dollar 2014 initiative to give tablet computers to everyone became a scandal after the bidding process appeared to heavily favor Apple, and it faced criticism once it became clear that students could bypass security protocols and that few teachers used the tablets. Currently, the district leaves it up to individual schools to decide whether they want students to take home iPads or Chromebooks every day and how much time they spend on them in class...

Around 300 parents attended listening sessions the district held last month about technology in the classroom. Nearly all who spoke criticized how much screen time schools gave their children in class, pointing to ways their behavior and grades suffered as students watched YouTube and played Minecraft... Several also asked district officials to explain why children as young as kindergartners were asked to sign a form to use devices in which they promised they would honor intellectual property law and refrain from meeting people in person whom they met online. "Is it possible for children to meet people over the internet on school-issued devices?" one father asked. The district officials declined to answer, saying it was meant to be a listening session.
In 2022, Los Angeles Unified started requiring students to complete benchmark assessments on educaitonal software i-Ready, the article points out, which generates unique questions for each students. "But parents and teachers are unable to see what children are asked, in part because the company that makes the program considers them proprietary information..."

One teacher says his school's administartors are requiring him to use i-Ready even though it doesn't have any material for the science class he's actually teaching. He's also noticed some students will use answers from AI chatbots, bypassing the school's monitoring software by creating alternate user profiles. But the monitoring software company suggests the school misconfigured their software's settings, adding "More commonly, when students attempt to bypass filtering or monitoring, they do so by using proxies."

Thanks to long-time Slashdot reader schwit1 for sharing the article.

CNN's prediction for 2026? "Any device that uses memory, from phones to tablets and smartwatches, could get pricier." But will it be a little or a lot?

The article cites an analysis from multinational strategy/management consulting firm McKinsey & Company which found America's data center demand could continue growing by 20 to 25 percent per year" through 2030. "That's prompted memory manufacturers like Micron and Samsung to shift their focus to data centers, which use a different type of memory, meaning fewer resources for consumer products. (Jaejune Kim, executive VP for memory at Samsung, said in October that their third quarter saw strong demand for memory for AI and data centers, and that they expected the supply shortage for mobile and PC memory to "intensify further.") Memory prices are rising for consumer products because major manufacturers are instead ramping up production for AI data centers as artificial intelligence companies boom. "It's pretty much brutal and crunched across the board," said Yang Wang, a senior analyst at Counterpoint Research.

The International Data Corporation, a global market research firm, reported earlier this week that the smartphone market is expected to decline by 0.9% in 2026 in part because of memory shortages. Memory prices are expected to surge by 30% in the fourth quarter of 2025 and may climb an additional 20% early next year, Counterpoint Research said last month... TrendForce, a research firm that follows the semiconductor industry, estimates memory price hikes have made smartphones 8% to 10% more expensive to produce in 2025 (higher production costs don't always translate into higher consumer prices for a variety of reasons).

Some smartphones could cost more as soon as early next year, said Nabila Popal, a senior research director for the International Data Corporation. Cheap Android phones may see the biggest impact, since less expensive products usually have thinner margins. "It's going to be almost impossible for them to not raise prices" of cheaper Android phones, said Popal. Companies may also postpone phone launches to focus on expensive models that may be more profitable. The average selling price for smartphones is expected to climb to $465 in 2026, compared to $457 in 2025, according to Popal, putting the smartphone market at a record high value of $578.9 billion.

But the pendulum is expected to swing back in the other direction late next year as the supply chain adjusts, according to Popal and Wang, potentially bringing prices back down or at least capping increases.