There could be even more 3D-printed Apple products coming in the future. According to Bloomberg‘s Mark Gurman, Apple is exploring ways to 3D print aluminum to make the manufacturing processes for iPhones and Apple Watches more efficient.

Gurman reported that this new production process could specifically change how Apple makes its watch casings as well as iPhone enclosures. It’s not the first time Apple has tapped into 3D printing, since both the Apple Watch Ultra 3 and Series 11 were partially built with 3D-printed titanium that’s 100 percent recycled. More recently, Apple used its 3D printing process to create the titanium USB-C port for the iPhone Air, which was touted as thinner, stronger and more environmentally friendly.

While Apple is reportedly only looking into 3D-printed aluminum right now, it could possibly result in an overall cheaper manufacturing process and lower starting prices for iPhones. Looking at Apple’s just-announced MacBook Neo, the company introduced a new manufacturing process that saves on the amount of aluminum used, helping to achieve the $599 starting price for its latest entry-level laptop. Like the colorful MacBook Neo, Gurman also reported that Apple is planning to use a “refreshed color palette” for its iMac reveal later this year.

This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/apple-is-reportedly-looking-into-3d-printing-aluminum-iphones-and-apple-watches-163721491.html?src=rss

When Block cut 4,000 jobs — nearly half its workforce — co-founder Jack Dorsey “pointed to AI as the culprit,” writes Entrepreneur magazine. “Dorsey claimed that AI tools now allow fewer employees to accomplish the same work.”

“But analysts see a different explanation: poor management.”

Block more than tripled its employee base between 2019 and 2022, growing from 3,835 to 12,430 workers. The company’s stock had fallen 40% since early 2025, creating pressure to cut costs. “This is more about the business being bloated for so long than it is about AI,” Zachary Gunn, a Financial Technology Partners analyst, told Bloomberg.
The phenomenon has earned a nickname: “AI-washing,” where companies use artificial intelligence as cover for traditional cost-cutting. Goldman Sachs economists estimate that AI is eliminating only 5,000 to 10,000 jobs per month across all U.S. sectors, hardly enough to justify Block’s massive cuts.

“European Central Bank President Christine Lagarde told lawmakers in Brussels last week that ECB economists are monitoring for signs that AI is causing job losses,” reports Bloomberg, “and are ‘not yet seeing’ the ‘waves of redundancies that are feared’…” And “a recent survey of global executives published in the Harvard Business Review found that while AI has been cited as the reason for some layoffs, those cuts are almost entirely anticipatory: executives expect big efficiency gains that have not yet been realized.”

Even a former senior Block executive “is questioning whether AI is truly the reason behind the cuts,” writes Inc.:
In a recent opinion piece for The New York Times, Aaron Zamost, Block’s former head of communications, policy, and people, asked whether the layoffs reflect a genuine “new reality in which the work they do might no longer be viable,” or whether artificial intelligence is “just a convenient and flashy new cover for typical corporate downsizing.” Zamost acknowledged that the answer is unclear and perhaps unknowable, even within Block itself…

Looking more closely at the layoffs, Zamost argued that the specific roles affected suggest more traditional corporate cost-cutting than a sweeping AI transformation… Many of the responsibilities being eliminated, he argued, rely on distinctly human skills that AI systems still cannot replicate. “A chatbot can’t meet with the mayor, cast commercial actors, or negotiate with the Securities and Exchange Commission,” Zamost wrote. “Not all the roles I’ve heard that Block is eliminating can be handled by AI, yet executives are treating it as equally useful today to all disciplines.”
Ultimately, Zamost suggested that the sincerity of companies’ AI explanations may not really matter. “It matters less whether a company knows how to deploy AI and more whether investors believe it is on track to do so,” he wrote.

Indeed, whatever the rationale for Dorsey’s statement, ” Wall Street didn’t seem to mind…” Entrepreneur magazine — since Block’s stock shot up 15% after the announcement.

Read more of this story at Slashdot.

Cornell University makes an announcement. “Employees who are impressed by vague corporate-speak like ‘synergistic leadership,’ or ‘growth-hacking paradigms’ may struggle with practical decision-making, a new Cornell study reveals.”

Published in the journal Personality and Individual Differences, research by cognitive psychologist Shane Littrell introduces the Corporate Bullshit Receptivity Scale (CBSR), a tool designed to measure susceptibility to impressive-but-empty organizational rhetoric… Corporate BS seems to be ubiquitous – but Littrell wondered if it is actually harmful. To test this, he created a “corporate bullshit generator” that churns out meaningless but impressive-sounding sentences like, “We will actualize a renewed level of cradle-to-grave credentialing” and “By getting our friends in the tent with our best practices, we will pressure-test a renewed level of adaptive coherence.” He then asked more than 1,000 office workers to rate the “business savvy” of these computer-generated BS statements alongside real quotes from Fortune 500 leaders…

The results revealed a troubling paradox. Workers who were more susceptible to corporate BS rated their supervisors as more charismatic and “visionary,” but also displayed lower scores on a portion of the study that tested analytic thinking, cognitive reflection and fluid intelligence. Those more receptive to corporate BS also scored significantly worse on a test of effective workplace decision-making. The study found that being more receptive to corporate bullshit was also positively linked to job satisfaction and feeling inspired by company mission statements. Moreover, those who were more likely to fall for corporate BS were also more likely to spread it.
Essentially, the employees most excited and inspired by “visionary” corporate jargon may be the least equipped to make effective, practical business decisions for their companies.

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One of our favorite TV shows last year was Daredevil: Born Again, Marvel’s revival of the hugely popular series in the Netflix Defenders universe. Who could resist the magical combination of Charlie Cox as Matt Murdock/Daredevil and Vincent D’Onofrio as his nemesis, crime lord Wilson Fisk/Kingpin? The series quickly earned critical raves and a second season. And Marvel has released a short trailer in advance of the S2 premiere later this month.

(Some spoilers below for the first season.)

Sure, the fans were shocked when the pilot episode killed off Matt’s best friend and law partner, Foggy Nelson (Elden Hensen), in the first 10 minutes, with his grief-stricken law partner, Karen Page (Deborah Ann Woll), taking her leave from the firm by the pilot’s end. But that creative choice cleared the decks to place the focus squarely on Matt’s and Fisk’s parallel arcs. Matt decided to focus on his legal work while Fisk was elected mayor of New York City, intent on leaving his criminal life behind. But each struggled to remain in the light as the dark sides of their respective natures fought to be released. The result was an entertaining, character-driven series that feels very much a part of its predecessor while still having its own distinctive feel.

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Palantir’s CEO was blunt. “If Silicon Valley believes we are going to take away everyone’s white-collar job… and you’re going to screw the military — if you don’t think that’s going to lead to the nationalization of our technology, you’re retarded…”

And OpenAI’s Sam Altman is thinking about the same thing, writes long-time Slashdot reader destinyland:

“It has seemed to me for a long time it might be better if building AGI were a government project,” Sam Altman publicly mused last week… Altman speculated on the possibility of the government “nationalizing” private AI companies into a public project, admitting more than once he’s wondered what would happen next. “I obviously don’t know,” Altman said — but he added that “I have thought about it, of course” Altman’s speculation hedged that “It doesn’t seem super likely on the current trajectory. That said, I do think a close partnership between governments and the companies building this technology is super important.”
Could powerful AI tools one day slip from the hands of private companies to be controlled by the U.S. government? Fortune magazine’s AI editor points out that “many other breakthroughs with big strategic implications — from the Manhattan Project to the space race to early efforts to develop AI — were government-funded and largely government-directed.” And Fortune added that last week the Defense Department threatened Anthropic with the Defense Production Act, which allows the president to designate “critical and strategic” goods for which businesses must accept the government’s contracts. Fortune speculates this would’ve been “a sort of soft nationalization of Anthropic’s production pipeline”. Altman acknowledged Saturday that he’d felt the threat of attempted nationalization “behind a lot of the questions” he’d received when answering questions on X.com.

How exactly will this AI build-out be handled — and how should AI companies be working with the government? In a sprawling ask-me-anything session on X that included other members of OpenAI leadership, one Missouri-based developer even broached an AGI-government scenario directly with OpenAI’s Head of National Security Partnerships, Katherine Mulligan. If OpenAI built an AGI — something that even passed its own Turing test for AGI — would that be a case where its government contracts compelled them to grant access to the Defense Department?
“No,” Mulligan answered. At our current moment in time, “We control which models we deploy”

The article notes 100 OpenAI employees joined with 856 Google employees in an online letter titled “We Will Not Be Divided” urging their bosses to refuse their models’ use in domestic mass surveillance and autonomously killing without human oversight.

But Adafruit’s managing director Phillip Torrone (also long-time Slashdot reader ptorrone ) sees analogies to America’s atomic bomb-building Manhattan Project, and “what happened when the scientists who built the thing tried to set conditions on how the thing would be used.” (The government pressured them to back down, which he compares to the Pentagon’s designating Anthropic a “supply chain risk” before offering OpenAI a contract “with the same red lines, just worded differently”.)
Ironically, Anthropic CEO Dario Amodei frequently recommends the Pulitzer Prize-winning 1986 book The Making of the Atomic Bomb…

Read more of this story at Slashdot.

Alvarezsaurids were mostly small-bodied theropods that paleontologists originally misinterpreted as early flightless birds, only to later recognize them as an ant-eating lineage of non-avian dinosaurs. For years, we suspected that Alvarezsaurids underwent a rare process of evolutionary miniaturization directly coupled to a diet of social insects like ants and termites. It was a tidy hypothesis: They got smaller to become more efficient at catching ants.

Now, a recently discovered fossil of one of the smallest alvarezsaurids ever found suggests that the evolution of miniature dinosaurs likely wasn’t as neat and linear as we thought. This new species, called Alnashetri cerropoliciensis, probably did not feed on ants at all. “It was a pursuit predator actively hunting insects and small mammals,” said Peter Makovicky, a paleontologist at the University of Minnesota.

The oddball

Alverezsaurids, found mostly in the Late Cretaceous rocks of Asia and South America, had short forelimbs tipped with a single oversized thumb claw built for digging. They also had minute teeth and sensory adaptations akin to those in modern nocturnal birds—everything necessary to work on termite mounds. “The explanation of their small body size has been tied to this specialization,” Makovicky explained.

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Would you move sunrise to 9 a.m. in Detroit? Or to 4:11 a.m. in Seattle…
Though both options have problems, “There’s no law we can pass to move the sun to our will,” argues the president of the nonprofit “Save Standard Time”. The Associated Press explains why America remains stuck in that annual ritual making clocks “spring forward, fall backward…”

The U.S. has tinkered with the clock intermittently since railroads standardized the time zones in 1883. So has a lot of the world. About 140 countries have had daylight saving time at some point; about half that many do now. About 1 in 10 U.S. adults favor the current system of changing the clocks, according to an AP-NORC poll conducted last year. About half oppose that system, and some 4 in 10 didn’t have an opinion.

If they had to choose, most Americans say they would prefer to make daylight saving time permanent, rather than standard time. ince 2018, 19 states — including much of the South and a block of states in the northwestern U.S. — have adopted laws calling for a move to permanent daylight saving time. There’s a catch: Congress would need to pass a law to allow states to go to full-time daylight saving time, something that was in place nationwide during World War II and for an unpopular, brief stint in 1974. The U.S. Senate passed a bill in 2022 to move to permanent daylight saving time. A similar House bill hasn’t been brought to a vote.

U.S. Rep. Mike Rogers, a Republican from Alabama who introduces such a bill every term, said the airline industry, which doesn’t want the scheduling complexity a change would bring, has been a factor in persuading lawmakers not to take it up. U.S. Rep. Greg Steube, a Florida Republican, is proposing another approach. “Why not just split the baby?” he asked. “Move it 30 minutes so it would be halfway between the two.” Steube thinks his bill could get bipartisan support. The change would make the U.S. out of sync with most of the world — though India has taken a similar approach and in Nepal, the time is 15 minutes ahead of India.

Read more of this story at Slashdot.

First, Hyundai “is discontinuing its most affordable electric sedan after just three years on the market,” reports USA Today. After being introduced in 2022, the Hyundai Ioniq 6 “quickly gained the admiration of automotive critics because of its affordable pricing and capable performance specs.” But now, Hyundai “is axing the most affordable versions of the EV, leaving consumers with only one Ioniq 6 option.”

Hyundai will continue to produce the Ioniq 6 N performance trim, which is the quickest and most powerful iteration of the Ioniq 6. It’s also the most expensive. The South Korean automaker is getting rid of lower Ioniq 6 trims due to “disappointing sales and tariff considerations,” according to Cars.com. Hyundai sold 10,478 Ioniq 6 models in 2025, dropping 15% from 12,264 units in 2024, a company sales report stated. Hyundai’s Ioniq 6 is mainly produced in South Korea, so it faces high import tariffs.

Sales increased for their earlier IONIQ 5 model, reports the EV blog Electrek, “up 14% through the first two months of 2026, with 5,365 units sold… Meanwhile, IONIQ 6 sales slid 77% with only 229 units sold in February.”

Elsewhere they report that Kia’s EV6 and EV9 “didn’t fare much better with sales down 53% (600 units sold) and 40% (819 units sold), respectively.” Now a Kia spokesperson tells Car and Driver that the 2025 EV6 GT and 2026 EV9 GT “will be delayed until further notice.” They attributed the move to “changing market conditions,” but added that this delay “does not impact the availability of other trims in the EV6 and EV9 lineups.”

More from Electrek:

The news comes after Kia already said it was delaying the EV4, its entry-level electric sedan, “until further notice.” It was expected to arrive in the US this year alongside the EV3, Kia’s compact electric SUV that’s already a top-seller in the UK, Europe, and other overseas markets.

While Hyundai didn’t directly say it, since the EV3, EV4, EV6 GT, and Hyundai IONIQ 6 are built in Korea, the Trump administration’s import tariffs and other policy changes are likely the biggest reason to blame here. Kia and Hyundai, like many others, are hesitant to bring new EVs to the US due to the changes. The IONIQ 6, EV6 GT, and EV9 GT join a string of other models that have either been postponed or canceled altogether.

Read more of this story at Slashdot.

“It took Anthropic’s most advanced artificial-intelligence model about 20 minutes to find its first Firefox browser bug during an internal test of its hacking prowess,” reports the Wall Street Journal.

The Anthropic team submitted it, and Firefox’s developers quickly wrote back: This bug was serious. Could they get on a call? “What else do you have? Send us more,” said Brian Grinstead, an engineer with Mozilla, Firefox’s parent organization.
Anthropic did. Over a two-week period in January, Claude Opus 4.6 found more high-severity bugs in Firefox than the rest of the world typically reports in two months, Mozilla said… In the two weeks it was scanning, Claude discovered more than 100 bugs in total, 14 of which were considered “high severity…” Last year, Firefox patched 73 bugs that it rated as either high severity or critical.

A Mozilla blog post calls Firefox “one of the most scrutinized and security-hardened codebases on the web. Open source means our code is visible, reviewable, and continuously stress-tested by a global community.” So they’re impressed — and also thankful Anthropic provided test cases “that allowed our security team to quickly verify and reproduce each issue.”
Within hours, our platform engineers began landing fixes, and we kicked off a tight collaboration with Anthropic to apply the same technique across the rest of the browser codebase… . A number of the lower-severity findings were assertion failures, which overlapped with issues traditionally found through fuzzing, an automated testing technique that feeds software huge numbers of unexpected inputs to trigger crashes and bugs. However, the model also identified distinct classes of logic errors that fuzzers had not previously uncovered…

We view this as clear evidence that large-scale, AI-assisted analysis is a powerful new addition in security engineers’ toolbox. Firefox has undergone some of the most extensive fuzzing, static analysis, and regular security review over decades. Despite this, the model was able to reveal many previously unknown bugs. This is analogous to the early days of fuzzing; there is likely a substantial backlog of now-discoverable bugs across widely deployed software.

“In the time it took us to validate and submit this first vulnerability to Firefox, Claude had already discovered fifty more unique crashing inputs” in 6,000 C++ files, Anthropic says in a blog post (which points out they’ve also used Claude Opus 4.6 to discover vulnerabilities in the Linux kernel).

“Anthropic “also rolled out Claude Code Security, an automated code security testing tool, last month,” reports Axios, noting the move briefly rattled cybersecurity stocks…

Read more of this story at Slashdot.