Security updates have been issued by AlmaLinux (ansible-core, cups-filters, curl, java-1.8.0-openjdk, java-17-openjdk, java-21-openjdk, java-25-openjdk, kbd, kernel, perl-Date-Manip, php:8.2, and php:8.3), Debian (designate, firefox-esr, gst-plugins-bad1.0, libnet-dns-perl, nvidia-graphics-drivers, openjdk-21, openjdk-25, spip, and thunderbird), Fedora (AusweisApp2, bluez, calibre, ceph, chromium, GitPython, kernel, pack, perl-URI, rsync, and tcpreplay), Gentoo (GNU Emacs and needrestart), Oracle (ansible-core, java-1.8.0-openjdk, java-17-openjdk, java-21-openjdk, java-25-openjdk, kbd, kernel, mysql:8.4, perl-Date-Manip, perl:5.32, and sssd), Red Hat (curl, dnsmasq, kbd, kernel, libcap, libreswan, openssh, rsync, samba, unbound, and vim), SUSE (389-ds, apptainer, avahi, bugwarden, chromium, ffmpeg-9-libavcodec-devel, firefox, firefox-esr, gimp, go1.27, helm, ignition, libarchive, libjxl-devel, libssh, multipath-tools, openssl-3, pcp, perl-Net-CIDR-Set, perl-Net-OAuth, postgresql14, postgresql15, python-msgpack, python-pyasn1, python-urllib3, python313, python313-pytest-html, redis, runc, sccache, sssd, util-linux, vim, weechat, and wget), and Ubuntu (linux-fips, linux-gcp-5.15, linux-hwe-7.0, linux-ibm, linux-kvm, linux-lowlatency, linux-nvidia, linux-nvidia-6.8, linux-nvidia-lowlatency, and linux-nvidia-6.17).
3,346 backers pledged $1,198,844 on Kickstarter to build the (modular) handheld Linux computer, the Mecha Comet. It's slightly bigger and heavier than your smartphone, with a 4-inch AMOLED display and loaded up with things like microphones, speakers, a SIM tray, two USB ports and a mini HDMI port. There's three separate kill switches for wifi, microphone and camera — plus a "boot mode" switch for the SD card, and even three pins for instant access to its debug console.
It's now expected to ship in October or November (and is still available for preorder).
Snap-in extensions include a keyboard (with programmable colors for its backlit keys), a gamepad, and a special IO Breakout that exposes the 40 pogo pins for modules, sensors, and MCUs. They're all open hardware, and founder Shoaib Merchant says "I'm looking forward to more community designs over the upcoming months." He shows the screen in action in a video on Kickstarter, demonstrating native apps like Music, Notes, Settings, and Files — as well as a Terminal app running on its color screen.
A Linux correspondent at How-To Geek notes its ships "with a custom, hardware-optimized Linux distro out of the box," so "it's like having a dedicated Linux terminal in your pocket." And they argue the new device
"could be the future of Linux smartphones."
I should also mention that you don't necessarily have to use the battery; it can power on over USB PD without one. Overall, you're getting the same I/O you'd expect from a computer in a smartphone-like form factor, complete with modular input devices — and it's running Linux under the hood. For me, that's the most innovative gadget I've seen in the Linux hardware space in a long time...
It's powerful enough to run most Linux terminal apps, which opens up a lot of possibilities. You're also getting an NPU built right into the SoC, which opens up the possibility for on-device AI workflows — something not possible in budget smartphones. Now, I personally plan to use it for SSHing into my main computer and home lab and operating them remotely. That's also why I'll be putting the LTE modem in the M.2 slot rather than an SSD — mobile data means I can reach my machines even when there's no Wi-Fi around.
I also showed it to my partner, and she sees this as the ideal minimalist phone for digital detoxing. There's a built-in media player, a basic notes app, and you can even run Spotify from the terminal if you want.
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This week OpenAI launched a version of ChatGPT exclusively designed for teenagers between the ages of 13 and 17, reports CTV, "saying this version came with stronger protections around content related to mentions of suicide, self-harm and romantic or sexual chats."
[Tech analyst Carmi Levy says] "What it's doing is it's using cues, it's sort of watching how you're using the tool, and it's trying to guess your age." Levy said if ChatGPT thinks a person has lied about their age when they first signed up, it will automatically put them into the Teens mode for protection. "It includes those sort of two things: prevent you from having experiences that are age inappropriate, and also add features that are aligned with academics, so that makes it easier to study, makes it less likely for you to cheat on an assignment, provide resources that that that allow you to learn more effectively," he said.
Levy reminded users that this is still an application and a web service, which means it's constantly collecting personal information about the users' activities on the device and using the data to estimate their age... In the event a user is talking about self-harm, this new version will block the conversation and suggest additional help or call emergency or mental health services, Levy explained. It would do the same with violent content, eating disorders, engaging in dangerous activities, as well as explicit, sexual or graphic content. "It's using AI again to sort of parse out that conversation: 'are we headed in a in a significant direction? If so, throw up that guardrail, stop it from happening, redirect.'"
However, the tech analyst said a number of people who have attempted to bypass the guiderails for research have succeeded in doing so "with a little bit of prompting.... I wouldn't call it 100% safe. That's kind of the catch-22 of the entire AI industry." This will lead parents to think that their children are safer and reduce the oversight on their online activities, which Levy described as a "perverse impact" that is "problematic."
"Parents should not assume that OpenAI has their kids' best interests at heart. They should also not assume that these technologies are perfect. They will miss certain things, and they will also engage in what we call false positives," he said. "An adult who's legitimately is in the platform might be tagged as a child because the AI simply got it wrong."
OpenAI's blog post says the new mode was designed for "preserving the ability to learn, create, and explore."
But CNN notes the move "comes as OpenAI faces a string of lawsuits alleging that inappropriate conversations with ChatGPT contributed to the harm or deaths of young people."
[New tools] include nudges for teen users to take a break if they've been active for 90 minutes within a three-hour window. OpenAI is also adding options for teens or parents to set "Quiet Hours" when ChatGPT is unavailable or "Study Hours" where ChatGPT's study mode for learning will be on by default. The company also said it has improved protections to prevent ChatGPT from expressing personal feelings toward a user. And it's adding reminders that caution teens to think twice if they try to upload a private or sensitive image to the chatbot...
Nearly a third of American teens use AI chatbots daily, a Pew Research Center study published in December found. ChatGPT was by far the most popular AI chatbot in the survey, with more than half of those teens reporting having used it.
Engadget shared this observation from Josh Golin, the executive director of Fairplay, a non-profit advocating for policies to make the internet safer for children. "Most parents, overwhelmingly, do not avail themselves of [parental oversight] tools, in part because they are deliberately made hard to find and use." Golin's group wanted to see testing of the tools first to see whether they led to better outcomes for teenagers. "The way this was just announced feels more like a response aimed at public relations than actual deep thinking about what kind of support [teens] need."
And Mashable got a similar quote from Robbie Torney, head of AI/digital assessments for Common Sense Media's Youth AI Safety Institute. OpenAI's teen experience makes important safety commitments, but "What we really need now is evidence that they work, and we need this evidence, including our testing and the testing of others, before anyone, including parents, puts real trust in ChatGPT for Teens."
Importantly, Torney said parents shouldn't assume their child is using ChatGPT for Teens. While OpenAI uses age estimation to place users in the age-appropriate version of ChatGPT, it can still mistake a user as older. Parents can be sure their child is using the teen version by linking their ChatGPT account to their child's and implementing OpenAI's parental control features. If a teen has previously lied about their age — and plenty do — they may continue to access the adult version of ChatGPT...
Torney said caregivers must enact parental controls to receive notifications from OpenAI should their teen discuss suicide, self-harm, or acts of violence in immediate or dangerous ways... An OpenAI spokesperson said every notification is reviewed by a trained human before it's sent. The company strives to review notifications in under one hour.
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"There is still no sign of economy-wide job destruction," says economist Erik Brynjolfsson. Working with researchers at the Stanford Digital Economy Lab, Brynjolfsson has determined an AI "job apocalypse" is unlikely, reports the Washington Post, "even though it will likely impact entry-level jobs."
And Brynjolfsson "predicts that demand for experienced workers such as senior coders will still be high even if AI takes on more routine knowledge and coding work in the future."
Earlier this month, Brynjolfsson and his colleagues at the Stanford Digital Economy Lab updated their widely publicized report, "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence," to reflect that they do not see widespread, economy-wide job displacement associated with AI...
Brynjolfsson: What has moved on the upside is productivity. Nonfarm business productivity growth is running over 2 percent, the best sustained stretch since the late-1990s boom... The gains show up years after the investment, and they're starting to show up... By 2030, we will have enormously more capable AI, meaningfully faster productivity growth and an unemployment rate that looks unremarkable — somewhere in its historical range. That surprises people, but it's what the mechanism implies... [T]he technology is becoming much more powerful, and it's going to be even more powerful.
Secondly, there are huge implications for business and the economy, including some increases in living standards, but also, potentially, job disruption. And then, thirdly, we must act now to address this gap. We can't just sit back and wait for the tsunami to hit us. And one of the things we can do is put in place institutions, policies and research to make the technology more complementary — using AI to complement people so it creates more jobs. A common misconception among business managers is AI, in order to be effective, has to reduce jobs. That's just not true. You can use AI to increase employment and productivity at the same time. It's kind of a win-win...
Right now, tax policy is very skewed toward favoring capital versus labor — and, as a consequence, a lot of entrepreneurs and managers, they're basically being guided by the federal government to replace workers with machines. And I don't think that's necessarily what we'd like to have happen. From an economist's perspective, what you want to be doing is not mimicking and replacing things. You want to be extending and complementing — have humans do new things they never could have done before.
He acknowledges "real, persistent and widening" effects on entry-level jobs, with a labor market "closing the on-ramp for people starting their careers... If companies don't hire people at the base of the pyramid, then they're not going to have those people later when they need them."
One he points out that one company is instead using AI to speed up its training of young employees.
Read more of this story at Slashdot.
Falling prices have made grid-scale storage batteries more attractive, reports Bloomberg. But after decades of stagnant investment, America's grids "are racing to make the upgrades needed to plug them in," with supplies straining for the necessary equipment.
Demand for batteries has skyrocketed as electricity use across the U.S. swells, driven by data centers' booming energy needs and increasing electrification. It's also getting harder to get them connected to power grids... As those upgrades get delayed, storage projects are piling up in interconnection queues from coast to coast. For example, Consolidated Edison Inc., a major utility in New York state, says over the last two years the volume of battery storage projects waiting to be connected has grown by 300%... "The whole process of interconnecting these new power plants got really log-jammed and bottlenecked," said Joseph Rand, an energy policy researcher at the Lawrence Berkeley National Laboratory...
Nationwide, some 750 gigawatts of energy storage projects — roughly equivalent to the generating capacity of more than 700 nuclear reactors — are in line to get grid connections, according to the lab's research. Not all of these projects will get built. Many developers already abandoned the queue because of delays. Still, the waiting time is increasing; the median was five years in 2025, up from a year and a half in 2015. The flood of battery projects is expected to continue. Wood Mackenzie, an energy consultancy, projects the U.S. energy storage market will quadruple in the next six years...
[Shortages in key equipment] have driven up construction costs and time lines for grid upgrades, leaving utilities struggling to build fast enough. A drought of skilled workers is further slowing them down... In California, PG&E Corp., the state's largest utility, told regulators in January that a key driver of delays was long lead times for specialized equipment. Procuring certain breakers could take nearly four years, according to the utility, which reported a 300% increase in its interconnection workload compared to prior years. In Northern California, for example, holdups to circuit breaker upgrades to a substation in Solano County led to projected delays for two battery projects worth a combined 450 megawatts. Transmission line work in the Bay Area has put another 800 megawatts of energy storage at risk of delay, according to PG&E.
Last year New York's Con Ed started requiring developers to help pay for upgrades if their projects will push power demand and strain infrastructure. But that also drew criticism:
According to a survey conducted by the trade group New York Battery and Energy Storage Technology Consortium (NY-BEST), the new methodology raised costs by an average of $21 million per project, a 14-fold increase. At least 25 projects have been canceled as a result, according to the group. Battery advocates have appealed to state regulators to get Con Ed to abandon the new policy.
Thanks to Slashdot reader Bruce66423 for sharing the news.
Read more of this story at Slashdot.
Debian developers are voting on whether to ban AI-assisted contributions, reports the blog Linuxiac, with a ballot listing eight proposals and a "None of the above" option.
The first one is still the original proposal to ban LLM-assisted contributions by changing the Debian Social Contract. This would stop generative AI from being used for direct Debian work like packaging, software, documentation, translations, websites, and project communication. However, upstream projects made with AI help would not be affected. The proposal gives several reasons for the ban, such as unclear copyright and licensing, doubts about the reliability of AI-generated work, extra review work for maintainers, aggressive scraping of Free Software resources, and the high resource use of large AI systems...
The second option would clearly allow contributions that are partly or fully made by an LLM, as long as contributors check their technical quality, security, licensing, and usefulness, fully understand the changes, and disclose major AI help. It would also ban sending private or sensitive Debian information to untrusted external AI services. A similar fourth option recognizes worries about generative AI but says banning it would be hard to enforce and not helpful. This proposal would accept AI-assisted Debian work if it follows the Debian Free Software Guidelines, is properly reviewed and understood by the contributor, and is marked as AI-assisted when needed. The fifth proposal is even more open. It says Debian should not support or ban generative AI tools, but should apply the same standards for quality, correctness, maintainability, and legality to all contributions, no matter how they were made...
One unique proposal is called "Debian is created by humans." Instead of banning AI tools for contributors, it focuses on what actually gets included in Debian. With this approach, contributors could use generative AI for research, analysis, exploration, or critique, but could not submit AI-generated output directly as Debian packaging, patches, documentation, bug reports, project communications, or other Debian work. As the proposal says: humans create Debian. Another, much stricter proposal asks Debian contributors to avoid LLM use as much as possible. It would require all Debian communication, like bug reports, mailing-list messages, Salsa discussions, and Planet Debian posts, to be written only by humans. Any AI use in Debian work would have to be disclosed, and violations could be handled under the project's Code of Conduct.
The CEO/founder of AI-native compliance management platform company Strike Graph believes a Debian AI ban is "the wrong fix for the actual problem" at hand, reports The New Stack:
"Debian's ban isn't really about banning AI," [CEO Justin] Beals says. "It's an admission that nobody has built a reliable way to verify what an AI agent actually produced before it lands in a codebase this many systems depend on, including infrastructure running in orbit. That's a legitimate thing to be worried about...." He thinks that any policy statement that says AI isn't allowed simply won't hold up, as the tooling keeps getting harder to detect...
Looking across the complete set of tabled propositions, proposal A (no LLM contributions to Debian via social contract) needs a 3:1 majority to pass; the other seven proposals (B to H) need a simple majority.
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