IBM shares plunged after the company warned that Q2 revenue and earnings would miss expectations, blaming customers' sudden shift in spending toward AI hardware instead of software services. However, CEO Arvind Krishna did not place all the blame on IBM's customers. The CEO also said it "faltered" by failing to "anticipate the magnitude of the capex reprioritization."

"These conditions require our teams to execute perfectly, and this quarter we faltered. We did not adapt and move quickly enough, and numerous large deals failed to close on the timelines we expected, driving the majority of our shortfall." Fast Company reports: In the preliminary report, IBM said that for its second quarter of fiscal 2026, it expects revenue of $17.2 billion, which is up 1%. It also said it expects a Non-GAAP Diluted Earnings Per Share (EPS) of $2.93, up 5%. However, as noted by CNBC, these preliminary results are below what analysts were expecting, which was $17.86 billion in revenue, and an EPS of $3.01, according to FactSet data.

Since February, New York state police have arrested 48 people for trespassing on a former IBM campus in Somers, New York, reports the Wall Street Journal. 30 of the arrests were teenagers. The long-vacant site has become a magnet for so-called urban explorers, who prowl abandoned malls, hospitals, power plants, amusement parks, factories and any other disused structure they can breach... [I]t's been turbocharged by artsy videos on Instagram and TikTok that spur others to create their own posts, luring still more curiosity seekers... In Somers, social-media images of the old IBM campus — a sprawling, pyramid-studded 1980s complex designed by the late I.M. Pei's firm — show dystopian scenes: busted windows, tossed rooms and graffitied walls. But they also give eerie glimpses of conference rooms and cubicles unchanged since IBM left a decade ago, as if employees had fled the daily grind one day and never returned...

One man in his mid-20s faces felony charges; police allege he had a loaded 9mm gun and took a Sony camera and power strip among other souvenirs. Andrew Proto, a defense lawyer, said "a 15-second clip" isn't worth a criminal record... Proto said he has represented or advised several minors arrested on the campus. The Somers town court clerk said some defendants received a 6-month "adjournment in contemplation of dismissal," meaning charges will be dropped and their arrest sealed if they avoid trouble. Some explorers who have posted about the IBM site say they follow an observe-and-preserve ethos and reject vandalism. They say they're driven by curiosity, the thrill of roaming forbidden spaces and a zeal to document discoveries — and that they're careful and know their limits.

"It actually gives me hope when I hear that kids are out there getting into trouble," says Bradley Garrett, a cultural geographer and author of the book "Explore Everything: Place-Hacking the City," about his own urbex adventures. He sees urban exploration as "a gateway drug in a good way, sometimes, into intellectual curiosity about history and culture." But Garrett said popular spots can be "loved to death" online — and then shut down, looted or set ablaze.
"Trespassers were blamed for a March 30 fire, reports a local newspaper, "that damaged one of the buildings and required volunteer firefighters to spend three hours extinguishing the blaze."

The long-running SCO/IBM Unix and Linux ownership dispute has resurfaced yet again, this time through SCO successor Xinuos, which is trying to pursue old license and copyright claims tied to Project Monterey. "The core issue seems to be whether Xinuos even has the right to litigate the matter, or if some ancient legalese in the original agreements means the window for legal argument has long since expired," reports The Register. From the report: [T]he roots of the case are the 1998 alliance between IBM and a company called the Santa Cruz Operation which sold a version of UNIX for x86 CPUs. Those two companies, plus Intel and Sequent, created "Project Monterey" -- an effort to create a unified version of UNIX that could run on multiple processors. By 2001, Project Monterey was close to delivering a unified UNIX, an achievement made possible by blending code from IBM and SCO.

By then, a little project called "Linux" already ran on multiple processors. Big Blue decided Linux was the future and bailed from Project Monterey -- then allegedly contributed some Monterey code to the open-source project and to its own AIX and Z operating systems. SCO felt it owned some of that code, so sued IBM.

SCO and its successors struggled to survive, but interested parties kept the lawsuit alive because the chance to emerge as owner of parts of the Linux codebase, and IBM's code, had the potential to turn into a colossal payday. The case and its successors ended in 2021, with a settlement that saw litigants agree to end the matter without IBM admitting fault. But by then, SCO had sold its software to a biz called Xinuos that decided to fight on.

The Xinuos case has burbled along quietly since, and on June 22nd reached the milestone of a hearing. The matter has become a little more modern, if only because this hearing was held online and the presiding judge appeared to unwittingly be on mute at one point. But the arguments otherwise seemed to revisit Project Monterey, debated the relevance of past litigation, contested who owned what, when they owned it, and how they could prove it. Xinuos argued IBM never had a license for SCO code. Big Blue argued that it did nothing wrong.

IBM has unveiled "what it says is the world's first sub-1-nanometer chip technology," reports ZDNet, "designed to pack nearly 100 billion transistors on a fingernail-size die, roughly doubling the density of IBM's earlier 2-nm test chip, first shown in 2021... Today, the smallest, most powerful chips top out at about 80 billion transistors." At the heart of the announcement is NanoStack. This is a three-dimensional, nanosheet-based transistor design that scales vertically, or along the z-axis, by stacking and staggering CMOS devices. Unlike today's nanosheet architectures, which IBM also pioneered and which are being adopted by leading foundries at 3 nm and 2 nm, NanoStack bonds two nanosheet transistors into a single vertical structure, with each tier optimized independently and contacted from opposite sides. Each transistor in the demonstrated structure uses three sub-5 nm-thick nanosheets, about "15 silicon atoms" across, separated by roughly 9 nm spacers. Two such devices are then bonded vertically using an ultra-thin dielectric process IBM describes as a key innovation. Because the top and bottom devices can use different channel materials, dielectrics, and metals, IBM argues NanoStack is less a single trick and more a transistor platform that can be extended through multiple generations: 7 angstrom (Å), 5 Å, 3 Å, and potentially down to 1 Å in its internal roadmap.

An angstrom, by the by, is one ten-billionth of a meter. In terms of chips, an angstrom is a tenth of a nanometer. "This is the world's first sub-1 nanometer chip technology with a new transistor architecture," said Jay Gambetta, Director of IBM Research and IBM Fellow, during a press briefing. "We're not just making smaller transistors, we're reinventing how chips are built to deliver dramatically more power and energy efficiency...." Based on internal benchmarking against its 2 nm node, the company said its new chips will deliver up to 50% higher performance at the same power, or up to 70% lower power for the same performance. Big Blue also highlighted a 40% improvement in the scaling of static random-access memory (SRAM) cell area relative to its 2 nm technology.

This is a change IBM described as a "step the industry hasn't seen in over a decade" and one that could be particularly important for AI accelerators that live or die on on-chip memory bandwidth... According to Huiming Bu, IBM's VP of silicon technology R&D, NanoStack is a new paradigm. It's moving chips to scaling fully into three dimensions and giving the industry at least "another decade" of logic advances as it crosses from nanometers into angstroms... The 40% SRAM density bump could also help architects push caches and on-die memory closer to compute units, cutting data movement overhead in training and inference workloads.
IBM sees a path to production use "in as early as the next 5 years", according to the article, and "expects NanoStack to eventually underpin CPUs, GPUs, mobile SoCs, and SRAM arrays."

IBM's VP of silicon technology R&D says the new innovation "can improve performance by 50% compared to the best available chip today, and at the same time can reduce power by 70%."

IBM spent a decade "building, testing and improving" quantum computing, reports the Wall Street Journal.

"This year, the company is laying the groundwork to turn that technology into a fully-fledged, scalable business from an expensive science project." IBM said last month it plans to form a new independent subsidiary called Anderon, a foundry to produce the silicon wafers needed to make quantum-computing processors. The venture is seeded by a $1 billion investment from the Trump administration and another $1 billion of IBM's own cash. Anderon will give the company a new line of business in selling wafers to other quantum-computing companies. It will also provide a steady stream of wafers to continue developing its own quantum technology, positioning IBM to capture part of what the Boston Consulting Group projects will be a $90 billion to $170 billion market for quantum-computing providers by 2040...

The company also plans to spend an additional $9 billion over five years to advance the final stages of its quest to build a quantum-mechanics-powered computer capable and reliable enough for widespread use, a goal known as fault tolerance. That computer, named Starling, is being targeted for 2029. With Anderon, IBM is thinking beyond Starling, or even a more powerful quantum computer planned for 2033.

BrianFagioli writes: The Linux Foundation has announced Akrites, a new initiative to coordinate vulnerability disclosure and remediation for critical open source software as AI dramatically speeds up vulnerability discovery. Founding members include AWS, Google, Microsoft, OpenAI, Red Hat, NVIDIA, IBM, Cisco, JPMorganChase, and others. Akrites will provide a shared Security Incident Response Team (SIRT), a standardized coordinated vulnerability disclosure process, and act as a "maintainer of last resort" for abandoned but widely used packages.

The goal is to reduce duplicate reports, avoid conflicting patches, and help upstream maintainers address vulnerabilities before they can be exploited. As AI makes it easier to find security flaws, can a coordinated industry effort help protect open source, or does it risk giving large corporations too much influence over the ecosystem? "Akrites is the largest coordinated effort in history to create systems and deploy tooling that leverages the collective power of the community to make everyone safer," the Linux Foundation said in an open letter. "Akrites participants will contribute engineering resources; work to build and ship fixes; or fund the engineers who do. Some companies have contributed mightily already. The reality is, collectively, we need to contribute more."

"A year after spending over $14 billion to bring in Alexandr Wang and a group of his top Scale AI engineers to revamp its artificial intelligence efforts, Meta is at least back on the map in AI," reports CNBC, "though it's still far behind OpenAI, Anthropic and Google in the market." Wang's big accomplishment was the delivery of the Muse Spark AI model in April, marking Meta's first jump into proprietary foundation models and away from a strict adherence to open source, or open weight as it's more commonly called in AI... "Meta needs to provide more proof points of both adoption and commercialization," said Ralph Schackart, an analyst at William Blair who recommends buying the stock. "Investors are looking for Meta to monetize a new AI-first product, beyond the substantial positive impact AI is having on enhancing the advertising models." Wall Street, at least so far, is unimpressed. Meta's stock is down 18% over the past 12 months, the worst performer in the megacap group, along with Microsoft, which has its own challenges in AI. That's even after Meta reported 33% revenue growth in the first quarter, the fastest rate of expansion for any period since 2021.

For Meta, the problem started with what some industry experts called, in hindsight at least, a strategic blunder. The company jumped into AI with its Llama family of models, offering an open-source approach that allowed developers to freely tinker, while the other big model makers charged for access. In April of last year, Meta's release of Llama 4 fell flat, failing to captivate developers and leading Zuckerberg to reconsider his company's approach to AI development... Since the release of Muse Spark, Meta has unveiled new AI and business-related subscription plans as part of an effort to expand its business beyond online ads. Historically, it hasn't worked. Meta still counts on ads for 98% of revenue. Schackart said he wants to see "tangible evidence of a growing list of new, AI-first products created by Muse Spark, even if monetization lags." He said that's "what investors are looking for."

No matter how good Wang's model may be, Zuckerberg has a high hill to climb with developers coming off the Llama debacle. "I think the AI community largely ignores Meta at this point," said Rob May, CEO of the startup Neurometric, which works in the realm of token engineering.... Krish Subramanian, the CEO of consulting firm KOI AI and former product head at IBM Consulting, said developers are more excited about Google's AI models than what Meta is offering. The appeal of Llama was that it specifically targeted developers wanting open-weight alternative models, while with Muse Spark, Meta has made little effort in that direction, he said. "The lack of developer trust will come back to hit them if they don't focus on third-party developers," Subramanian said, noting that it took years for Microsoft to regain trust from open-source coders during the early days of Azure. "To just focus on a walled-garden kind of an ecosystem and ad revenue as the main source of income, they probably will never become the big player," he said.

A Meta spokesperson pointed to Wang's recent comments about the company's continued support for the open-source ecosystem, and said Meta still plans to offer outside developers access to Muse Spark's underlying technology via an API, as it previously announced. "We're already testing with some early partners, and look forward to releasing it this month," the spokesperson said.
"That Zuckerberg's metaverse and virtual reality ambitions have generated over $80 billion in total losses since late 2020 makes the AI pitch a tougher sell," the article points out, citing this observation from Howard Yu, business professor at Switzerland's International Institute for Management Development.

"He's running out of the space for his credibility to last," Yu said. "I think the virtual reality foray may have burned up a lot of his goodwill in front of investors."

Yesterday 2026's International Obfuscated C Code Contest concluded, with 22 new winners announced in a special three-hour livestreamed ceremony! Started 42 years ago, it's been described as the internet's longest-running contest, with entrants concocting convoluted programs glorying in the C programming language's subtleties, all while having some fun. And "For IOCCC29, the volume and quality of submissions were at near-historic heights," explains its home page.

There's a "Tetris-optimized" GameBoy emulator with source code that looks like a GameBoy, as well as a quasi-Rogue-like game voted "most likely to teleport." Awards were also given for the best imaginary emulator (a virtual machine in 366 bytes of C) and the best fractional emulator (a maze generator for the Commodore 64). But every one of the 22 winning programs seems wildly creative...

• Quine Pong. "Running the program produces the source code to generate the next frame, formatted to display the current frame. By repeatedly compiling and running each successive frame, you can play the game. To move, pass either "w" (up) or "e" (down) as an argument..."

• A winning Taiwanese programmer formatted their source code in the shape of a Tardis from Doctor Who — code that displays an intricate ASCII animation of Doctor Who's 1963 opening title sequence.

• One winning entry emulates an IBM 7040 mainframe, first converting a program (encoded in whitespace) into ASCII-character drawings of punchcards for a FORTRAN program — and then executing that program to calculate the light visible to an observer looking at black hole, ultimately creating an image. It's all recreating what astrophysicist Jean-Pierre Luminet had to do in 1978 to generate the first-ever simulated photograph of a black hole (on an IBM 7040 mainframe). "The entry can also run other FORTRAN programs — but "they must be provided as a deck of punch cards... Tools have been provided to convert to/from decks and to interpret..."

"We have added fun challenges to this year's winning entries competition..." the web site notes. "After you figure out what a given winning entry does, we encourage you to attempt the fun challenge!"

Thanks to long-time Slashdot reader achowe for bringing the news (who has submitted winning entries in four different decades, starting in 1991 and continuing through 2025) — and who won again this year for a program simulating the Space Invaders-like game from Casio's 1980 MG-880 calculator.

Follow the IOCCC on Mastodon.

You can try 570 extinct operating systems at a new "virtual museum," according to a new article by ZDNet. Their reporter downloaded the ancient OS NeXTSTEP, and was "shocked" by how easy it was to run it, "and by the sheer number of operating systems to choose from." Essentially, what you do is download a zipped file, unzip it, change into the newly created directory, and run the executable. VirtualBox then opens to a Debian Linux instance, where you can select from a very long list of operating systems to run... You can run operating systems like Amiga, Apple I/II/III, Atari, Avigo, Commodore 64, Cray, DEC Alpha, Einstein, Game Boy Advance, GE 200, HP 3000, IBM 1130, iPod touch, Jupiter Ace, Lisa, Macintosh, MIPS-based SBCs, Neo, Newton, NeXT, NORC, Palm, and so many more. You can test the earliest mainframes, later mainframes and minicomputers, workstations and Unix variants, home computers, personal computer operating systems, mobile and embedded adOSes, and research-based and obscure systems. As far as Linux is concerned, you can run early Debian and its derivatives, Red Hat and its derivatives, early Slackware, and more...

There are two editions of the Virtual OS Museum: full and lite. The full edition is currently 174GB and includes everything you need to run these old-school operating systems. The full version does not require a network connection to run. The Lite version is only 14GB and requires an internet connection because it downloads the full OS image you want to use.
Gizmodo notes "this project is all the more remarkable for being the work of one man: Andrew Wartenkin, who has been collecting OS images for over two decades." Of course, Wartenkin didn't write all the emulation software himself, and he maintains a list of credits to give credit where it's due... The Museum itself runs in a virtual machine, which seems kinda fitting — it opens in a virtualized Linux installation and presents you with the full list of available operating systems.

Did you know someone has written a GUI for the Commodore 64? Neither did I! There are simulations of ancient mainframes, like the IBM 1130 (yours for the low, low price of $32,280 — or $41,230 with a disk drive — back in 1965).
There's also a YouTube channel.

Thanks to long-time Slashdot reader Z00L00Kfor sharing the news.

IBM and Red Hat are committing $5 billion to a new initiative called "Project Lightwell," which aims to secure open-source software supply chains with AI-assisted vulnerability discovery, triage, patch validation, and upstream maintenance. Longtime Slashdot reader wiggles shares a press release from IBM: IBM and Red Hat today announced Project Lightwell, a $5 billion commitment backed by new frontier AI capabilities and a global force of more than 20,000 engineers to help enterprises secure open source software. Together, these investments establish a new model for enterprise use of open source software, from upstream development through production environments.

Project Lightwell will establish a trusted enterprise clearinghouse combined with a global force of engineers to identify and fix vulnerabilities at scale. The clearinghouse will serve as a security coordination layer, using advanced AI capabilities to validate and test fixes across an unprecedented volume of open source code. These capabilities will be offered through commercial subscriptions, allowing enterprises to integrate secure patches directly into their existing software supply chains with enterprise-grade validation and lifecycle management.

IBM and Red Hat have already begun collaborating with a select group of early adopters on Project Lightwell, including Bank of America, BNY, Citi, Goldman Sachs, JPMorganChase, Mastercard, Morgan Stanley, Royal Bank of Canada, State Street, Visa and Wells Fargo. The real-world insights from these initial deployments will actively shape how vulnerabilities are identified, validated, and remediated at scale across complex software supply chains.

Thursday California's governor issued an executive order "directing state agencies to prepare workers and businesses for AI-driven workforce disruption," reports San Francisco's KQED. In a statement the governor said "This moment demands that we reimagine the entire system — how we work, how we govern, how we prepare people for the future." The order mandates agencies to explore a range of policy options, including severance standards, expanded unemployment insurance, job retraining programs aimed specifically at white-collar workers, worker ownership models and a concept the governor called "universal basic capital," giving all residents a stake in assets such as corporate stocks, bonds or wealth funds...

Tom Kemp, executive director of the California Privacy Protection Agency, applauded the fact that the order named data privacy as a consumer protection concern and highlighted the CPPA's automated decision-making technology regulations, which he called "the nation's most comprehensive." Others are more skeptical. "Catastrophic job loss from AI is not inevitable, it's a political choice," Lorena Gonzalez, president of the California Federation of Labor Unions, AFL-CIO, wrote in a statement. However, Gonzalez noted one area of genuine agreement: the order's emphasis on collective bargaining as a tool for protecting workers from AI displacement...

According to Stanford HAI's 2026 AI Index, software developers ages 22 to 25 are among those most likely to see their skills made redundant earliest. This year, U.S. employment fell nearly 20% from 2024, even as headcount for older developers continued to grow. Following the job cuts announced at Meta, a union of Alphabet workers in the U.S. and Canada released a statement that suggests Silicon Valley's own labor force may seek to organize... "It's undeniable that our whole industry is being transformed by the corporate push to adopt new AI tools," [Alphabet Workers Union-CWA Local 9009 said in a statement]. "It's hard not to feel anxiety and fear when we can see more and more tech companies cutting huge portions of their workforce both in anticipation of replacing them with AI, and to fund their multi-billion-dollar bets on AI as the future of the industry..."

In February, AFL-CIO President Liz Shuler and Gonzalez delivered what amounted to an ultimatum to Newsom: regulate AI or lose labor's support for any future presidential run. Shuler called a potential AI-driven economic collapse a coming "crisis." In August 2025, Newsom announced a partnership with Google, Microsoft, IBM and Adobe to expand AI education in California schools and community colleges, a workforce preparation push that now looks like a precursor to Thursday's more sweeping order.
The article notes that after signing the bill the governor shared this comment on X.com. "California will pursue new policies that make sure working Californians — not just Big Tech — benefit from the wealth and breakthroughs coming out of this space."

Newsom telegraphed Thursday's order earlier this week, when he appeared at the Center for American Progress IDEAS Conference in Washington. "Businesses are going to make a fortune, and that's why you cannot continue to have a payroll tax system that taxes jobs and then subsidizes automation."

An anonymous reader quotes a report from the Quantum Insider: The Trump administration is preparing a new round of industrial policy aimed at quantum computing, with roughly $2 billion in grants expected to go to nine companies developing quantum hardware and related technologies. According to Reuters, citing a Wall Street Journal report, the U.S. Department of Commerce plans to distribute the funding through deals that also give the federal government equity stakes in the companies receiving the awards. The approach would expand Washington's increasingly direct involvement in sectors viewed as strategically important to national security, advanced manufacturing and competition with China.

Reuters reported that IBM is expected to receive the largest share of the package at about $1 billion. Semiconductor manufacturer GlobalFoundries is slated to receive approximately $375 million, according to the report. Other recipients are expected to include D-Wave Quantum, Rigetti Computing, Quantinuum and Infleqtion, with each company potentially receiving around $100 million, Reuters reported. Australian quantum startup Diraq could receive about $38 million, according to the Wall Street Journal report cited by Reuters. Fast Company notes in its reporting that IBM will invest the funds it receives into a new IBM company called Anderon. It will also match the grant with another $1 billion in cash.

"Anderon will operate as a state-of-the-art 300-millimeter quantum wafer foundry," IBM stated in an announcement. "It will help the nation solidify its leadership at the center of a thriving new quantum industry that is estimated to generate up to $850 billion in economic value by 2040 and spur American economic growth while also bolstering national security."

Quantum computing stocks soared after the news. As of publication, IBM is up about 9.7%, D-Wave is up about 28.1%, and Rigetti is up about 26.7%. Meanwhile, Global Foundries rose about 13.8% and Infleqtion jumped about 30.9%.

Gartner says some VMware customers may find it cheaper to move certain Linux VM workloads to IBM mainframes than to adopt Broadcom's new VMware licensing, especially for fleets of hundreds of Linux VMs and mission-critical apps needing long-term stability. The Register reports: Speaking to The Register to discuss the analyst firm's mid-April publication, "The State of the IBM Mainframe in 2026," [Gartner Vice President Analyst Alessandro Galimberti] said some buyers in many fields are comparing mainframes to modern environments and deciding Big Blue's big iron comes out ahead. "I can build a multi-region cloud application, but things like data synchronization and high availability are things I need to build into application logic," he said. "The mainframe has that in the platform, which shields developers from complexity." He also thinks mainframes are ideally suited to workloads that need many years of transactional consistency and backward-compatibility.

That said, Galimberti doesn't recommend the mainframe for all applications. He said mission-critical applications that are unlikely to change much for a decade are best-suited to the machines, as are Linux applications because the open source OS runs on IBM's hardware. IBM also offers the z/VM hypervisor, which he says can make Linux "even better and more enterprise-ready." Which is why Galimberti thinks IBM's ecosystem is attractive to VMware users, especially those who operate a fleet of 500 to 700 Linux VMs. [...]

Committing to mainframes therefore means planning "to spend time negotiating price and renewal protections, rather than prioritizing the business value these solutions can deliver." Another downside is that mainframes pose clear lock-in risk, so users may hold back on useful customizations out of fear they make it harder to extricate themselves from the platform. Access to skills remains an issue, too, as kids these days mostly don't contemplate a career working with big iron. Galimberti sees more service providers investing in their mainframe programs, which might help. So does the availability of Linux.

An anonymous reader quotes a report from Wired: A controversial bill in Colorado that would have undone some repair protections in the state has failed. The bill had been the target of right-to-repair advocates, who saw it as a bellwether for how tech companies might try to undo repair legislation more broadly in the US. Colorado's landmark 2024 repair law, the Consumer Right to Repair Digital Electronic Equipment, went into effect in January 2026 and ensured access to tools and documentation people needed to modify and fix digital electronics such as phones, computers, and Wi-Fi routers. The new bill, SB26-090, would have carved out an exception to those repair protections for "critical infrastructure," a loosely defined term that repair advocates worried could be applied to just about any technology.

SB26-090 was introduced during a Colorado Senate hearing on April 2 and was supported by lobbying efforts from companies such as Cisco and IBM. It passed that hearing unanimously. The bill then passed in the Colorado Senate on April 16. On Monday evening, the bill was discussed in a long, delayed hearing in the Colorado House's State, Civic, Military, and Veterans Affairs Committee. Dozens of supporters and detractors gave public comments. Finally, the bill was shot down in a 7-to-4 vote and classified as postponed indefinitely. "While we were making progress at chipping away at the momentum for it, we had still been losing," said Danny Katz, executive director of the local nonprofit consumer advocacy group CoPIRG. "So, we took nothing for granted, and I believe the incredible testimony from the broad range of cybersecurity experts, businesses, repair advocates, recyclers, and people who want the freedom to fix their stuff made a big difference."

"I love these machines," writes long-time Slashdot reader Shayde: I was super-active in the Unix-PC Usenet groups back in the 90s... We hacked the hell out of them. They were small, sexy, and... they ran Unix!

Unfortunately, they were a commercial failure. There were so many things wrong with them — not just stuff that broke, but the baseline configuration was nigh on worthless. I recently was able to get another machine and got it up and running (with a few hiccups). I whipped up a video showing all the cool things it can do, but also running through what went wrong and why it ultimately failed.
The video shows the ancient green-on-black screen of 1984's AT&T Unix PC (with the OS running on a silicon drive emulation). The original machine had 512K of memory and a 10-megabyte hard drive described as slow, failure-prone, and noisy. There's also a drive for inserting floppy disks, and a separate MS-DOS board (with its own CPU) that could be plugged into the expansion slot — but the device was "remarkably heavy," weighing in aqt 40 pounds

See the strange 1984 mouse, and its keyboard with both a Return key and a separate Enter key. There's even plug-in ports for phone landlines. "It looked great," Shayde says in the video, showing off its Spirograph demo and '80s-era games like Pong, Conway's Game of Life, GNU Chess, "Trk", and NetHack. But besides slow startup times, it was expensive — in today's dollars, it would've cost roughly $15,000 — and suffered from Unix's lack of spreadsheets, word processing software and other office productivity tools at the time. At that price the Unix PCs couldn't compete with IBM's home computers and their desktop applications. "It just didn't have the resources, the software, the capabilities and the price point that made it attractive."

A satirical but working tool called Malus uses AI to create "clean room" clones of open-source software, aiming to reproduce the same functionality while shedding attribution and copyleft obligations. "It works," Mike Nolan, one of the two people behind Malus, who researches the political economy of open source software and currently works for the United Nations, told 404 Media. "The Stripe charge will provide you the thing, and it was important for us to do that, because we felt that if it was just satire, it would end up like every other piece of research I've done on open source, which ends up being largely dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation." 404 Media reports: Malus's legal strategy for bypassing copyright is based on a historically pivotal moment for software and copyright law dating back to 1982. Back then, IBM dominated home computing, and competitors like Columbia Data Products wanted to sell products that were compatible with software that IBM customers were already using. Reverse engineering IBM's computer would have infringed on the company's copyright, so Columbia Data Products came up with what we now know as a "clean room" design.

It tasked one team with examining IBM's BIOS and creating specifications for what a clone of that system would require. A different "clean" team, one that was never exposed to IBM's code, then created BIOS that met those specifications from scratch. The result was a system that was compatible with IBM's ecosystem but didn't violate its copyright because it did not copy IBM's technical process and counted as original work.

This clean room method, which has been validated by case law and dramatized in the first season of Halt and Catch Fire, made computing more open and competitive than it would have been otherwise. But it has taken on new meaning in the age of generative AI. It is now easier than ever to ask AI tools to produce software that is identical in function to existing open source projects, and that, some would argue, are built from scratch and are therefore original work that can bypass existing copyright licenses. Others would say that software produced by large language models is inherently derivative, because like any LLM output, it is trained on the collective output of humans scraped from the internet, including specific open source projects.

Malus (pronounced malice), uses AI to do the same thing. "Finally, liberation from open source license obligations," Malus's site says. "Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." Copyleft is a type of copyright license that ensures reproductions or applications of the software keep it free to share and modify.

An anonymous reader quotes a report from Wired: Today at a hearing of the Colorado Senate Business, Labor, and Technology committee, lawmakers voted unanimously to move Colorado state bill SB26-090 -- titled Exempt Critical Infrastructure from Right to Repair -- out of committee and into the state senate and house for a vote. The bill modifies Colorado's Consumer Right to Repair Digital Electronic Equipment act, which was passed in 2024 and went into effect in January 2026. While the protections secured by that act are wide, the new SB26-090 bill aims to "exempt information technology equipment that is intended for use in critical infrastructure from Colorado's consumer right to repair laws."

The bill is supported by tech manufacturers like Cisco and IBM, according to lobbying disclosures. These are companies that have vested interests in manufacturing things like routers, server equipment, and computers and stand to profit if they can control who fixes their products and the tools, components, and software used to make those upgrades and repairs. They also cite cybersecurity concerns, saying that giving people access to the tools and systems they would need to repair a device could also enable bad actors to use those methods for nefarious means. (This is a common argument manufacturers make when opposing right-to-repair laws.)

[...] During the hearing, more than a dozen repair advocates spoke from organizations like Pirg, the Repair Association, and iFixit opposing the bill. YouTuber and repair advocate Louis Rossmann was there. The main problem, repair advocates say, is that the bill deliberately uses vague language to make the case for controlling who can fix their products. [...] The Colorado Labor and Technology committee advanced the bill, but it still needs to go through votes on the Colorado Senate and House floors before going into effect. Those votes may take place as early as next week. Regardless of how the bill goes in the state, it's likely that manufacturers will continue their push to alter or undo repair legislation in other states across the country. "The 'information technology' and 'critical infrastructure' thing is as cynical as you can possibly be about it," says Nathan Proctor, the leader of Pirg's US right-to-repair campaign. "It sounds scary to lawmakers, but it just means the internet."

The current wording of the bill "leaves it up to the manufacturers to determine which items they will need to provide repair tools and parts to owners and independent repairers and which ones they don't," says Danny Katz, executive director CoPIRG, the Colorado branch of the consumer advocate group Pirg. "This is a bad policy and would be a big step back for Coloradans' repair rights."

iFixit CEO Kyle Wiens said in the hearing: "There's a general principle in cybersecurity that obscurity is not security," iFixit CEO Kyle Wiens said in the hearing. "The money that's behind the scenes, that's what's driving the bill."

IBM and Arm are teaming up to let Arm-based software run on IBM Z mainframes. Network World reports: The two companies plan to work on three things: building virtualization tools so Arm software can run on IBM platforms; making sure Arm applications meet the security and data residency rules that regulated industries must follow; and creating common technology layers so enterprises have more software options across both platforms, IBM said in a statement.

IBM has not said whether the virtualization work will happen at the hypervisor level, through its existing PR/SM partitioning technology, or via containers -- a question enterprise architects will need answered before they can assess the collaboration's practical value. IBM described the effort as serving enterprises that run regulated workloads and cannot simply move them to the cloud, the statement said. IBM mainframe customers have largely missed out on the efficiency and price-performance gains Arm has already delivered in the cloud. "Arm says close to half of all compute shipped to top hyperscalers in 2025 runs on Arm chips, with AWS, Google, and Microsoft deploying their own Arm silicon through Graviton, Axion, and Cobalt, respectively," reports Network World.

That gap is precisely what IBM and Arm's collaboration intends to address. "This is a mainframe adjacency play," says Rachita Rao, senior analyst at Everest Group. "The intent is to extend IBM Z and LinuxONE environments by enabling Arm-compatible workloads to run closer to systems of record. While hyperscalers use Arm to lower their own internal power costs and pass savings to cloud-native tenants, IBM is targeting the sovereign and air-gapped market."

"IBM says its quantum computer can now simulate real magnetic materials and match actual lab experiment results," writes Slashdot reader BrianFagioli, "which is something people have been waiting years to see." Instead of just theoretical output, the system reproduced neutron scattering data from a known material, meaning it lines up with real world physics. It still relies on a mix of quantum and classical computing and this is a narrow use case for now, but it is one of the first times quantum hardware has produced results that scientists can directly validate against experiments, which makes it a lot more interesting than the usual hype.
Classical computers "are not great at modeling quantum systems," according to this article at Nerds.xyz. "The math gets messy fast, and scientists end up relying on approximations... Quantum computers are supposed to solve that problem..." If this direction continues, it could start to matter in areas like superconductors, battery tech, and even drug development. Those are the kinds of problems where better simulations can actually lead to better outcomes, not just nicer charts in a research paper.
"I am extremely excited about what this means for science," said study co-author Allen Scheie from the Los Alamos National Laboratory. In an announcement from IBM, Scheie calls this "the most impressive match I've seen between experimental data and qubit simulation, and it definitely raises the bar for what can be expected from quantum computers."

BrianFagioli shares a report from NERDS.xyz: An international team of scientists has done something chemistry has never seen before. IBM, working alongside researchers from the University of Manchester, Oxford University, ETH Zurich, EPFL, and the University of Regensburg, has created and characterized a molecule whose electrons travel through its structure in a corkscrew-like pattern, fundamentally altering its chemical behavior. The findings were published today in Science. The molecule, known as C13Cl2, is the first experimental observation of what scientists call a half-Mobius electronic topology in a single molecule. To the researchers' knowledge, nothing like it has ever been synthesized, observed, or even formally predicted. And proving why it behaves the way it does required something equally extraordinary -- a quantum computer.

The whole thing started at IBM, where the molecule was assembled atom by atom from a custom precursor synthesized at Oxford. Working under ultra-high vacuum at near-absolute-zero temperatures, researchers used precisely calibrated voltage pulses to remove individual atoms one at a time. The result is an electronic structure that undergoes a 90-degree twist with each circuit through the molecule, requiring four complete loops to return to its starting phase. That is a topological property that has no counterpart anywhere in chemistry's existing record. What makes it even more interesting to folks who follow materials science is that this topology can be switched. The molecule can move reversibly between clockwise-twisted, counterclockwise-twisted, and untwisted states. That means electronic topology is not just a curiosity to be stumbled upon in nature -- it can be deliberately engineered. That is a big deal.

The quantum computing angle here is not just a supporting role. Electrons within C13Cl2 interact in deeply entangled ways, each influencing the others simultaneously. Modeling that requires tracking every possible configuration of those interactions at once -- something that causes computational demands to grow exponentially and can quickly overwhelm classical machines. A decade ago, researchers could exactly model 16 electrons classically. Today that number has crept to 18. Using IBM's quantum computer, the team was able to explore 32 electrons. Quantum computers can represent these systems directly rather than approximate them, because they operate according to the same quantum mechanical laws that govern electrons in molecules. In this case, that capability helped reveal helical molecular orbitals for electron attachment -- a fingerprint of the half-Mobius topology -- and exposed the mechanism behind the unusual structure: a helical pseudo-Jahn-Teller effect.