Microsoft has unveiled Scout, an experimental always-on AI "autopilot" agent for Microsoft 365 that can operate across Teams, Outlook, OneDrive, SharePoint, calendars, contacts, browsers, and external apps via MCP. "Autopilots stay active in the background, understand how work gets done across your apps and systems, and take action without needing to be prompted each time," said Omar Shahine, a Microsoft veteran who recently announced he is leading a new team to bring OpenClaw-based personal assistants to Microsoft 365 apps. Computerworld reports: Shahine said Scout can reduce mundane tasks that office workers face, such as coordinating and scheduling meeting times with colleagues, or blocking times in a user's calendar based on upcoming work commitments. "It can also spot risks, like stalled decisions, so you can address them before they become blockers," he said. It's available as an "experimental release" to customers of the company's Frontier program, Microsoft said, and will require Intune policy configuration and "opt-in attestation." [...] It's not clear whether Scout will be included in Microsoft 365 Copilot subscriptions or charged separately. Microsoft did not immediately provide additional details about pricing.
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Longtime Slashdot reader Matt_Bennett shares a blog post from Adafruit: Adafruit received at 10:38 p.m. ET on May 22, 2026 a letter from former FBI chief of staff, Jonathan F. Lenzner, and partner at Fenwick & West LLP, counsel for Flux, demanding, among other things, that Adafruit refrain from publishing an article addressing what the letter characterizes as false and potentially defamatory claims about Flux, including statements about Flux's intellectual property, commercial traction and user base.
The letter further asserts claims under the Computer Fraud and Abuse Act. Adafruit accessed only information that Flux's own systems made publicly available through a server misconfiguration. Adafruit's reporting concerns a matter of public security interest and was conducted in the ordinary course of responsible disclosure.
Although Adafruit vigorously rejects the assertions made in Flux's May 22, 2026 demand letter, we have temporarily stopped publishing on the Adafruit blog while we consider our response and next steps. We will update the community as appropriate. For context, Adafruit is a major open-source hardware company and electronics retailer known for its maker-focused boards, components, tutorials, and community publishing. Flux.ai is relevant because it is building an AI-assisted circuit-board design platform aimed at changing how engineers create and collaborate on PCB designs.
"Adafruit probably did a review of AI PCB tools," writes HN user karmicthreat. "I've used Flux.ai before; it was a pretty bad experience. After about 50-100$ in tokens a couple of times, I couldn't get more than a couple of simple components on the schematic. And not in sensible positions..."
Redditor AlexTaradox adds: "Nothing was published as far as I know. I assume they did review of AI tools and likely contacted flux with some preliminary results, but flux saw where it is going and decided to block them from publishing any results. Flux is garbage and they obviously know it, but they need to hold for some time until some other scam acquires them. Doing anything with them is just asking to be screwed..."
Further discussions are taking place on Reddit and Hacker News.
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New EU battery rules taking effect early next year are pushing tech makers toward user-replaceable batteries in products like headphones, e-readers, handheld consoles, laptops, and possibly earbuds. But carve-outs for smartphones and tablets may mean replaceable batteries won't necessarily return to phones in the way many users remember. The Verge's Dominic Preston reports: Since the upcoming law doesn't actually come into force until February 18th, 2027, companies still have plenty of time to get their ducks in a row. Still, it's likely that before then we'll see more and more manufacturers launch products with user-replaceable batteries, across audio, e-readers, gaming handhelds, and more. Only time will tell whether most of those products are EU only, or whether the new European laws shape the nature of tech worldwide.
It's likely that some product categories will move slower than others. Tech companies will have breathed a sigh of relief that wearables look likely to be exempt, but if wireless earbuds aren't carved out as well then there may be a scramble to adapt the miniature designs for easy replaceability. "The in-ear form factor demands extreme miniaturization, to fit the driver, antenna, processor, microphones and battery," notes a recent report from consultants Futuresource, going on to suggest that meeting the requirements will make earbuds both bigger and more expensive to manufacture.
There also remains uncertainty about how some elements of the law will be interpreted. The law requires that user repairs be possible using "commercially available tools," which are "tools available on the market to all end-users." Right to Repair Europe's Alberico points out that this is a broad definition, likely to include a lot of tools not found in most houses, so there will likely be nothing to stop manufacturers requiring the sorts of less common screws that require dedicated electronics tool kits. There's also no strict definition of the "reasonable" price that manufacturers are required to set for spare parts. "That will likely take time -- and possibly litigation -- to clarify in practice," Alberico says. "But without fair access to affordable spare parts, repair will struggle to become the simplest and most attractive option for consumers."
The big disappointment is that the separate phone and tablet legislation means we won't see any real changes there, so long as manufacturers make their batteries and devices durable. "This creates a false tradeoff between durability and repairability," Alberico says. "Robust, waterproof devices should not have to come at the expense of user-replaceable batteries. While the ecodesign legislation requirements meant an improvement in battery durability and replaceability, at Right to Repair Europe we'll continue to advocate for all products to be designed with user-replaceable batteries." Whether the EU will listen remains to be seen. Otherwise, the main product people seem to want to replace the battery in may remain one of the only ones where they can't.
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An anonymous reader quotes a report from Ars Technica: In April, GitHub announced that it was moving subscribers from request-based billing to a usage-based model for its AI-powered Copilot service. As that new pricing model goes into effect today, many GitHub Copilot users are reporting some extreme sticker shock as they realize just how quickly their previous "normal" usage is burning through their newly limited monthly allotment of AI credits. Across social media and forums, many Copilot users are sharing personal statistics showing how just a few hours of AI usage can now account for a large chunk of their new monthly subscription caps. For some users, it reportedly took less than a day to use up a month's usage quota.
That's a big change from previous months, when GitHub Copilot subscribers were allocated a certain number of "requests" and "premium requests" based on their payment tier. GitHub said that the old system meant that "a quick chat question and a multi-hour autonomous coding session [could] cost the user the same amount," forcing Copilot itself to "absorb much of the escalating inference cost behind that usage." [...] Indeed, some Copilot users have been sharing estimates from GitHub's own tool showing that their previous monthly usage would rack up bills in the thousands of dollars under the new pricing plan. Under GitHub's new usage-based pricing system, paid Copilot subscriptions instead grant users a certain number of AI "credits" each month, with one credit corresponding to $0.01 of usage. Subscribers also get bonus credits depending on their subscription level: the $10/month Pro plan includes 1,500 credits ($15 worth); the $39 Pro+ plan includes 7,000 credits ($70 worth); and the $100/month Copilot Max plan includes 20,000 credits ($200 worth).
The precise number of Copilot credits used by a given prompt is determined by the number of input and output tokens used and the rates charged by the underlying large language model. That means pricing is highly dependent not just on the type of request but on the specific model that a user chooses. One million output tokens from OpenAI's GPT-5.4 nano would run just $1.25 on GitHub Copilot, but that same level of output would run $30 on the frontier GPT-5.5 model (Copilot users who rely on "Auto" mode to pick the most appropriate available model for any request should be extremely careful, as some users report it can switch to expensive models for extremely simple queries).
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Version
8.3 of Vim Classic has been
released. This is the first release of the Vim fork since the project
was announced
in March.
This release is based on Vim 8.2.0148, with a number of bug fixes
and patches conservatively backported from future versions of Vim
upstream. We elected to clean up this version of Vim, prepare it for a
release, and imagine an alternate history where Vim 8.3 was released
without Vim9 script. The result is Vim Classic 8.3. We chose to take
this approach in order to reduce the long-term maintenance burden of
Vim Classic, acknowledging that our fork lacks the resources and
institutional knowledge available to Vim upstream. However, a
consequence is that there are some Vim plugins which are not
compatible with Vim Classic.
We have made a special effort to assess patches from Vim upstream
which mitigate some of the many CVEs affecting Vim which were
discovered and fixed between versions 8.2 and modern-day Vim, but we
can't be sure we've got all of the security patches which are
applicable to Vim Classic (and practically exploitable). This version
of Vim Classic is therefore recommended for early adopters who are
comfortable adopting a security posture which accounts for the fact
that we may have overlooked some bugs.
LWN covered Vim
Classic and another Vim fork, EVi, in April.
Security updates have been issued by AlmaLinux (php:8.2 and php:8.3), Debian (gst-plugins-good1.0, symfony, and yelp), Fedora (dovecot, freeipa, hplip, libpng, perl-Catalyst-Plugin-Authentication, postfix, samba, unbound, and vim), Mageia (assimp, libcaca, sdl2_sound, and tar), Slackware (kernel), SUSE (alloy, apache-commons-lang3, apache-commons-text,, apache2, bubblewrap, busybox, chromium, cups, docker-stable, ffmpeg-8, google-osconfig-agent, gsasl, ignition, java-26-openjdk, kernel, libsolv-demo, libsoup, libzypp, localsearch, openjpeg2, postgresql-jdbc, putty, python-mistune, python-Pillow, python-python-multipart, python-Twisted, python3-Twisted, re, roundcubemail, vim, wireshark, and xz), and Ubuntu (evolution-data-server, exim4, gsasl, haveged, lcms2, libreoffice, linux-aws, linux-lts-xenial, linux-lowlatency, linux-nvidia-tegra, nginx, nncp, qtdeclarative-opensource-src, sslh, sssd, and xz-utils).
Twenty years after Swedish police raided The Pirate Bay's Stockholm data center and seized its servers, the site remains online. In fact, the 2006 crackdown arguably made it more famous, helping turn it into "one of the most resilient and iconic websites on the internet," reports TorrentFreak. From the report: On May 31, 2006, less than three years after The Pirate Bay was founded, 65 Swedish police officers entered a datacenter in Stockholm. They had instructions to take the site's servers offline as part of a criminal probe, following pressure from the US government. As the police were about to enter, Pirate Bay co-founders Gottfrid Svartholm and Fredrik Neij knew something wasn't quite right. Both men said they had noticed being tailed by private investigators. This time, however, their servers were the target.
At around 10:00 in the morning, Gottfrid told Fredrik that there were police officers at their office. He asked his colleague to head down to the co-location facility and get rid of the 'incriminating evidence', although none of it, whatever it was, related to The Pirate Bay. As Fredrik was leaving, he suddenly realized the problems might be linked to their torrent tracker. Just in case, he decided to make a full backup of the site. When he arrived at the co-location facility, those concerns turned out to be justified. Dozens of police officers were floating around, taking away dozens of servers, most of which belonged to clients unrelated to The Pirate Bay.
In the days that followed, it became clear that Fredrik's decision to back up the site was probably the most pivotal moment in its history. Because of that backup, the Pirate Bay team managed to resurrect the site within three days. The entire situation was handled with the mockery TPB had become known for. Unimpressed, the operators renamed the site "The Police Bay," complete with a new logo shooting cannonballs at Hollywood. A few days later the logo was replaced by a Phoenix, a reference to the site rising from its digital ashes. Instead of shutting it down, the raid propelled The Pirate Bay into the mainstream press, not least due to its swift resurrection. The publicity also triggered a huge traffic spike, exactly the opposite of what Hollywood had hoped for.
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Florida's attorney general has sued (PDF) OpenAI and CEO Sam Altman, alleging the company prioritized growth and market value over user safety and failed to adequately warn about risks tied to ChatGPT. The lawsuit, the first by a U.S. state over OpenAI safety concerns, is separate from a criminal investigation the state opened into OpenAI in April. Variety reports: In the 83-page complaint filed in Florida circuit court, the state claimed OpenAI's rise was backed by "a web of deceit and the exploitation of users (including Floridians), leveraging their data and safety to boost OpenAI's market value at unacceptable costs." The state wants to hold Altman "personally liable for the harm he has caused Floridians through his reckless and willful conduct as founder and CEO of OpenAI, including his utter disregard for the risk to human life caused by his firms' conduct."
[...] Throughout the complaint, filed in the state's circuit court of the 10th judicial circuit, the State of Florida claimed OpenAI's "careless introduction" of ChatGPT had led to an increase in murders and suicides. The suit alleged Florida's minors have "become addicted to a tool that feigns human compassion to collect their data with no parental oversight." It cited instances in the past year of the alleged use of ChatGPT to plan a mass shooting at Florida State University in April 2025 and the murders of two graduate students at the University of South Florida in April. "This litany of harms is driven by Defendants' insatiable quest to win the AI arms race and amass large fortunes, despite knowing the danger of ChatGPT," the state wrote in the complaint.
Florida accused OpenAI of four counts of deceptive and unfair trade practices, two counts of negligence, two counts of violating product liability laws, one count of fraudulent misrepresentation and another count of causing a public nuisance. It is seeking civil penalties and court orders demanding OpenAI restrict the data it collects from minors and that it stop "continuing to misrepresent or fail to warn of the risks of ChatGPT." "People are getting hurt, parents are getting deceived and they need to pay for it by opening up their checkbooks and changing the program to ensure there are parental controls," Uthmeimer said at a press conference Monday.
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Over on the
AboutCode blog, lead
maintainer Philippe Ombredanne
writes
about an agentic LLM system porting the
ScanCode
Toolkit to Rust. In the process, the LLM (or the people behind it)
infringed the ScanCode trademark, stripped copyright and license notices,
"and started an outreach campaign, without ever engaging the AboutCode
community". Ironically, the toolkit is used to scan source code and binaries in
order to figure out licensing and copyright information; it also reports on
package
dependencies, vulnerabilities, and more.
This is worth repeating: A comprehensive test suite, decent documentation, and curated datasets is what makes automated porting possible. It is also what makes a codebase easier to replicate without understanding it.
The agent's initial approach, using an existing Rust license-detection library, failed to match ScanCode's output quality. The agent then did what any translator would do when a loose paraphrase fails: it copied the original more closely. The final port reproduces ScanCode's core algorithms, code organization, and data-driven architecture in Rust, not because the agent understood them, but because it had enough training data and test feedback to converge on equivalent code.