Powderhorn

The real opponent of digital sovereignty is "enterprise IT" marketing, according to one Red Hat engineer who ranted entertainingly about the repeated waves of bullshit the industry hype cycle emits.

During a coffee break at this year's CentOS Connect conference, The Reg FOSS desk paused for a chat with a developer who was surprised but happy to find us there. We won't name them – we're sure that they'd prefer to keep their job rather than enjoy a moment of fame – but we much enjoyed their pithy summary of how IT has faced repeated waves of corporate bullshit for at least 15 years now, and how they keenly and enthusiastically anticipate a large-scale financial collapse bursting the AI bubble.

This vulture has been working in the tech field for some 38 years now, and the Linux developer we spoke with has been in the business nearly as long. We both agreed that the late 20th century – broadly, the period from the early 1990s onward for a decade or so – had mostly been one of fairly steady improvement. Then, they suggested, roughly following the 2008 credit crunch, we've had some 15 years of bullshit in tech.

Developers looking to gain a better understanding of machine learning inference on local hardware can fire up a new llama engine.

Software developer Leonardo Russo has released llama3pure, which incorporates three standalone inference engines. There's a pure C implementation for desktops, a pure JavaScript implementation for Node.js, and a pure JavaScript version for web browsers that don't require WebAssembly.

"All versions are compatible with the Llama and Gemma architectures," Russo explained to The Register in an email. "The goal is to provide a dependency-free, isolated alternative in both C and JavaScript capable of reading GGUF files and processing prompts."

GGUF stands for GPT-Generated Unified Format; it is a common format for distributing machine learning models.

Llama3pure is not intended as a replacement for llama.cpp, a widely used inference engine for running local models that's significantly faster at responding to prompts. Llama3pure is an educational tool.

Because nothing says "fun" quite like having to restore a RAID that just saw 140TB fail.

Western Digital this week outlined its near-term and mid-term plans to increase hard drive capacities to around 60TB and beyond with optimizations that significantly increase HDD performance for the AI and cloud era. In addition, the company outlined its longer-term vision for hard disk drives' evolution that includes a new laser technology for heat-assisted magnetic recording (HAMR), new platters with higher areal density, and HDD assemblies with up to 14 platters. As a result, WD will be able to offer drives beyond 140 TB in the 2030s.

Western Digital plans to volume produce its inaugural commercial hard drives featuring HAMR technology next year, with capacities rising from 40TB (CMR) or 44TB (SMR) in late 2026, with production ramping in 2027. These drives will use the company's proven 11-platter platform with high-density media as well as HAMR heads with edge-emitting lasers that heat iron-platinum alloy (FePt) on top of platters to its Curie temperature — the point at which its magnetic properties change — and reducing its magnetic coercivity before writing data.

One of the reasons Amazon is spending billions on robots? They don’t need bathroom breaks. Arriving a few minutes early to the public tour of Amazon’s hi-tech Stone Mountain, Georgia, warehouse, my request to visit the restroom was met with a resounding no from the security guard in the main lobby.

Between the main doors and the entrance security gate, I paced and paced after being told I would have to wait for the tour guide to collect me and other guests for a tour of the 640,000-sq-ft, four-story warehouse.

Amazon offers tours to the public at 28 of its 1,200 US warehouses – a recruiting and public-relations tool to boost brand trust and address criticisms of poor working conditions. It was something to consider as I wound up having to go in the parking lot, propping open my rental car door for privacy.

Bathroom access is one of the most notorious criticisms of Amazon’s treatment of workers. Amazon delivery drivers and warehouse workers have reported having to pee in water bottles due to lack of time and access, and have even said their bathroom breaks are timed.

Zoe Hoffman, an Amazon spokesperson, said it was “absurd and false to connect a visitor’s tour experience to that of our employees”, adding that workers were allowed “regularly scheduled breaks” throughout their shifts.

None of this will be an issue if Amazon’s multibillion-dollar robot dreams come true.

After what were surely some very intense negotiations with himself, Elon Musk has decided to merge his rocket company SpaceX with his AI and social-media company xAI in what amounts to a $1.25 trillion tie-up. Combining two of his companies into a new mega-corp supposedly worth more than the sum of its overvalued parts is a classic Musk move. His last self-merging coup came last year when he combined X and xAI. Along with frequent capital raises, Musk’s vertically integrated takeovers of his own properties allow him to continue to pump up the values of his start-ups. In December, SpaceX was valued at $800 billion. Less than two months later, for the purposes of this deal, it was valued at $1 trillion, with xAI considered to be worth $250 billion.

SpaceX sealed the deal by issuing $250 billion in new shares that it handed to xAI’s shareholders. The move effectively diluted the holdings of existing SpaceX shareholders. The New York Times summed up the parlous bargain: “SpaceX’s longtime backers were forced to shrink their ownership in the company drastically, as a percentage, to pay for the acquisition.”

That would infuriate most investors, but thanks to the circular nature of Musk’s corporate economy—otherwise known as the Muskonomy—and his frequent reliance on the same group of financiers, some of SpaceX’s investors were already xAI investors. (SpaceX is also expected to raise at least $50 billion in a public offering this summer.) Minting new SpaceX shares is supposed to buoy the entire enterprise while saving Musk the trouble of pursuing more conventional ownership models that involve real dollars.

For years, we watched Silicon Valley executives perform elaborate corporate theater about “values” and “belonging” and “bringing your whole self to work.” If you were skeptical that any of that was real, well, congrats.

Aaron Zamost, a longtime tech communications exec, has a piece in the NY Times that should be required reading for anyone trying to understand the tech industry’s sudden, conspicuous rightward lurch. His argument is refreshingly blunt: this isn’t about ideology. It never was. It’s about leverage.

There are many theories about Silicon Valley’s swift, and very conspicuous, rightward turn. Tech leaders course-corrected from an overly permissive era. The Trump administration demands fealty in exchange for critical regulatory favors. Mr. Trump’s re-election reshaped the national climate and reoriented the values of tech leadership.

Each of these explanations is convenient, but none are correct. I’ve worked in tech for 20 years, across both Big Tech and venture-backed start-ups, and I can tell you the truth is much more mundane. Silicon Valley’s chief executives have always been driven by economics, not ideology. As Michael Corleone put it: It’s not personal — it’s strictly business.

As if AI weren't enough of a security concern, now researchers have discovered that open-source AI deployments may be an even bigger problem than those from commercial providers.

Threat researchers at SentinelLABS teamed up with internet mappers from Censys to take a look at the footprint of Ollama deployments exposed to the internet, and what they found was a global network of largely homogenous, open-source AI deployments just waiting for the right zero-day to come along.

175,108 unique Ollama hosts in 130 countries were found exposed to the public internet, with the vast majority of instances found to be running Llama, Qwen2, and Gemma2 models, most of those relying on the same compression choices and packaging regimes. That, says the pair, suggests open-source AI deployments have become a monoculture ripe for exploitation.

Long before generative AI, copyright holders warned that new technologies for reading and analyzing information would destroy creativity. Internet search engines, they argued, were infringement machines—tools that copied copyrighted works at scale without permission. As they had with earlier information technologies like the photocopier and the VCR, copyright owners sued.

Courts disagreed. They recognized that copying works in order to understand, index, and locate information is a classic fair use—and a necessary condition for a free and open internet.

Today, the same argument is being recycled against AI. It’s whether copyright owners should be allowed to control how others analyze, reuse, and build on existing works.

It was challenging to figure out where to put this. It's also environment, and it turns sharply political for Act III.

If you're already familiar with renewables, there's not a lot to learn here but the comparisons with fossil fuels and ethanol. Given that I've been on solar since 2023, I appreciated what he was saying to the uninitiated.

Get yourself some Act II if you plan on making it all the way through ... it's an hour and a half.

With the launch of its all-new, all-electric EX60, Volvo has put lessons learned from the EX30 and EX90 to use. The EX60 is built on Volvo’s new SPA3 platform, made only for battery-electric vehicles. It boasts up to 400 miles (643 km) of range, with fast-charging capabilities Volvo says add 173 miles (278 km) in 10 minutes. Mega casting reduces the number of parts of the rear floor from 100-plus to one piece crafted of aluminum alloy, reducing complexities and weld points.

Inside the cabin, however, the real achievement is Volvo’s new multi-adaptive safety belt. Volvo has a history with the modern three-point safety belt, which was perfected by in-house engineer Nils Bohlin in 1959 before the patent was shared with the world. Today at the Volvo Cars Safety Center lab, at least one brand-new Volvo is crashed every day in the name of science. The goal: to test not just how well its vehicles are protecting passengers but what the next frontier is in safety technology.

Senior Safety Technical Leader Mikael Ljung Aust is a driving behavior specialist with 20 years under his belt at Volvo. He says it’s easy to optimize testing toward one person or one test point and come up with a good result. However, both from the behavioral perspective and from physics, people are different. What’s not different, he points out, is how people drive.

“We’re shaped into a very similar automated behavior when we drive, so that makes the collision prevention side of things a bit easier,” Ljung Aust says. “But on the injury-prevention side of things is where the seat belt comes in, we’re working on the principle of equal safety for all. The idea is that independent of who you are in terms of size, shape, weight, all of these things, you should have exactly the same protection.”

Anxiety, depression, eating disorders, and death. These can be the consequences for vulnerable kids who get addicted to social media, according to more than 1,000 personal injury lawsuits that seek to punish Meta and other platforms for allegedly prioritizing profits while downplaying child safety risks for years.

Social media companies have faced scrutiny before, with congressional hearings forcing CEOs to apologize, but until now, they’ve never had to convince a jury that they aren’t liable for harming kids.

This week, the first high-profile lawsuit—considered a “bellwether” case that could set meaningful precedent in the hundreds of other complaints—goes to trial. That lawsuit documents the case of a 19-year-old, K.G.M, who hopes the jury will agree that Meta and YouTube caused psychological harm by designing features like infinite scroll and autoplay to push her down a path that she alleged triggered depression, anxiety, self-harm, and suicidality.

TikTok and Snapchat were also targeted by the lawsuit, but both have settled. The Snapchat settlement came last week, while TikTok settled on Tuesday just hours before the trial started, Bloomberg reported.

Last month, I helped release the Resonant Computing Manifesto, which laid out a vision for technology that empowers users rather than extracting from them. The response was gratifying—people are genuinely hungry for an alternative to the current enshittification trajectory of tech. But the most common piece of feedback we got was some version of: “Okay, this sounds great, but how do I actually build this?”

It’s a fair question. Manifestos are cheap if they don’t connect to reality.

So here’s my answer, at least for anything involving social identity: build on the ATProtocol. It’s the only available system today that actually delivers on the resonant computing principles, and it’s ready to use right now.