fidzu : geek

Maine is on track to become the first U.S. state to impose a temporary statewide ban on new data center construction. "Lawmakers in Maine greenlit the text of a bill this week to block data centers from being built in the state until November 2027," reports CNBC. "The measure, which is expected to get final passage in the next few days, also creates a council to suggest potential guardrails for data centers to ensure they don't lead to higher energy prices or other complications for Maine residents." From the report: Maine's bill has a few steps to go through before becoming law, notably whether Gov. Janet Mills will exercise her veto power. Mills asked lawmakers to include an exemption for several areas of the state where data center construction could continue. However, an amendment to do so was stuck down in the House, 29 to 115. Complicating Mills' decision is her campaign to become Maine's next senator. Mills is facing off against Graham Platner, an oyster farmer, in a high-profile Democratic primary. Platner is leading Mills in most recent polls by double digits.

Read more of this story at Slashdot.

13 Apr 2026 4:00pm GMT

An anonymous reader quotes a report from Ars Technica: Several Californians sued Sutter Health and MemorialCare this week over allegations that an AI transcription tool was used to record them without their consent, in violation of state and federal law. The proposed class-action lawsuit, filed on Wednesday in federal court in San Francisco, states that, within the past six months, the plaintiffs received medical care at various Sutter and MemorialCare facilities. During those visits, medical staff used Abridge AI. According to the complaint, this system "captured and processed their confidential physician-patient communications. Plaintiffs did not receive clear notice that their medical conversations would be recorded by an artificial intelligence platform, transmitted outside the clinical setting, or processed through third-party systems." The complaint adds that these recordings "contained individually identifiable medical information, including but not limited to medical histories, symptoms, diagnoses, medications, treatment discussions, and other sensitive health disclosures communicated during confidential medical consultations." In recent years, Abridge's software and AI service have been rapidly deployed across major health care providers nationwide, including Kaiser Permanente, the Mayo Clinic, Duke Health, and many more. When activated, the software captures, transcribes, and summarizes conversations between patients and doctors, and it turns them into clinical notes. Sutter Health began partnering with Abridge two years ago. Sutter spokesperson Liz Madison said the company is aware of the lawsuit. "We take patient privacy seriously and are committed to protecting the security of our patients' information," Madison said. "Technology used in our clinical settings is carefully evaluated and implemented in accordance with applicable laws and regulations."

Read more of this story at Slashdot.

13 Apr 2026 3:00pm GMT

The Slate Truck will start in the "mid-$20,000s" when it goes on sale in late 2026.

13 Apr 2026 2:35pm GMT

The Meta chief is personally involved in training and testing his animated AI.

13 Apr 2026 1:52pm GMT

Will some programmers become "AI babysitters"? asks long-time Slashdot readertheodp. They share some thoughts from a founding member of Code.org and former Director of Education at Google: "AI may allow anyone to generate code, but only a computer scientist can maintain a system," explained Google.org Global Head Maggie Johnson in a LinkedIn post. So "As AI-generated code becomes more accurate and ubiquitous, the role of the computer scientist shifts from author to technical auditor or expert. "While large language models can generate functional code in milliseconds, they lack the contextual judgment and specialized knowledge to ensure that the output is safe, efficient, and integrates correctly within a larger system without a person's oversight. [...] The human-in-the-loop must possess the technical depth to recognize when a piece of code is sub-optimal or dangerous in a production environment. [...] We need computer scientists to perform forensics, tracing the logic of an AI-generated module to identify logical fallacies or security loopholes. Modern CS education should prepare students to verify and secure these black-box outputs." The NY Times reports that companies are already struggling to find engineers to review the explosion of AI-written code.

Read more of this story at Slashdot.

13 Apr 2026 11:34am GMT

LLM use is the most demoralizing problem I've faced as a college instructor.

13 Apr 2026 11:00am GMT

My thoughts on AI-assisted programming.

11 Apr 2026 12:00am GMT

It shouldn't be a surprise that companies - and for our field, technology companies specifically - working with the defense industry tends to raise eyebrows. With things like the genocide in Gaza, the threats of genocide and war crimes against Iran, the mass murder in Lebanon, it's no surprise that western companies working with the militaries and defense companies involved in these atrocities are receiving some serious backlash. With that in mind, it seems Red Hat, owned by IBM, is desperately trying to scrub a certain white paper from the internet. Titled "Compress the kill cycle with Red Hat Device Edge", the 2024 white paper details how Red Hat's products and technologies can make it easier and faster to, well, kill people. Links to the white paper throw up 404s now, but it can still easily be found on the Wayback Machine and other places. It's got some disturbingly euphemistic content. The find, fix, track, target, engage, assess (F2T2EA) process requires ubiquitous access to data at the strategic, operational and tactical levels. Red Hat Device Edge embeds captured, analyzed, and federated data sets in a manner that positions the warfighter to use artificial intelligence and machine learning (AI/ML) to increase the accuracy of airborne targeting and mission-guidance systems. Delivering near real-time data from sensor pods directly to airmen, accelerating the sensor-to-shooter cycle. Sharing near real-time sensor fusion data with joint and multinational forces to increase awareness, survivability, and lethality. The new software enabled the Stalker to deploy updated, AI-based automated target recognition capabilities. If the target is an adversary tracked vehicle on the far side of a ridge, a UAS carrying a server running Red Hat Device Edge could transmit video and metadata directly to shooters. ↫ Red Hat white paper titled "Compress the kill cycle with Red Hat Device Edge" I don't think there's something inherently wrong with working together with your nation's military or defense companies, but that all hinges on what, exactly, said military is doing and how those defense companies' products are being used. The focus should be on national defense, aid during disasters, and responding to the legitimate requests of sovereign, democratic nations to come to their defense (e.g. helping Ukraine fight off the Russian invasion). There's always going to be difficult grey areas, but any military or defense company supporting the genocide in Gaza or supplying weapons to kill women and children in Iran is unequivocally wrong, morally reprehensible, and downright illegal on both an international and national level. It clearly seems someone at Red Hat feels the same way, as the company has been trying really hard to memory-hole this particular white paper, and considering its word choices and the state of the world today, it's easy to see why. Of course, the internet never forgets, and I certainly don't intend to let something like this slide. We all know companies like Microsoft, Oracle, and Google have no qualms about making a few bucks from a genocide or two, but it always feels a bit more traitorous to the cause when it's an open source company doing the profiting. It feels like Red Hat is trying to have its cake and eat it too, by, as an IBM subsidiary, trying to both profit from the vast sums of money sloshing around in the US military industrial complex as well as maintain its image as a scrappy open source business success story shitting bunnies and rainbows. It's a long time ago now that Red Hat felt like a genuine part of the open source community. Most of us - both outside and inside of Red Hat, I'm sure - have been well aware for a long time now that those days are well behind us, and I guess Red Hat doesn't like seeing its kill cycle this compressed.

10 Apr 2026 8:04pm GMT

If you want to run FreeBSD on a laptop, you're often yanked back to the Linux world of 20 years ago, with many components and parts not working and other issues such as sleep and wake problems. FreeBSD has been hard at work improving the experience of using FreeBSD on laptops, and now this has resulted in a list of laptops which work effortlessly with the venerable operating system. There's only about 10 laptops on the list so far, but they do span a range of affordability and age, with some of them surely being quite decent bargains on eBay or whatever other used stuff marketplace you use. If you want to use FreeBSD on a laptop, but don't want to face any surprises or do any difficult setup, get one of the laptops on this list - a list which will surely expand over time.

10 Apr 2026 2:41pm GMT

It may sound unbelievable to some, but not everyone has a datacenter beast with 128GB of VRAM shoved in their desktop PCs. Around the world people tell the tale of a particularly fierce group of Linux gamers: Those who dare attempt to play games with only 8 gigabytes of VRAM, or even less. Truly, it takes exceedingly strong resilience and determination to face the stutters and slowdowns bound to occur when the system starts running low on free VRAM. Carnage erupts inside the kernel driver as every application fights for as much GPU memory as it can hold on to. Any game caught up in this battle for resources will surely not leave unscathed. That is, until now. Because I fixed it. ↫ Natalie Vock The solution is to use cgroups to control the kernel's memory eviction policies, so that applications that should get priority when it comes to VRAM allocation - like games - don't get their memory evicted from VRAM to system RAM. Basically, evict everything else from VRAM before touching the protected application. This way, something like a game will have much more consistent access to more VRAM, thereby reducing needless memory evictions that harm performance. It's a clever solution that makes use of a ton of existing Linux tools, meaning it's also much easier to upstream, implement, and support. Excellent work.

10 Apr 2026 1:26pm GMT

I have discovered and shared ~800 open source Rust CLI projects over the past 3 years.

03 Apr 2026 12:00am GMT

All I wanted was to learn how to play guitar, but ended up building a DIY kit for it.

28 Mar 2026 12:00am GMT