Visa and Mastercard are nearing a settlement with merchants that aims to end a 20-year-old legal dispute by lowering fees stores pay and giving them more power to reject certain credit cards, WSJ reports, citing people familiar with the matter. From the report: Under terms being discussed, Visa and Mastercard would lower credit-card interchange fees, which are often between 2% and 2.5%, by an average of around 0.1 percentage point over several years, the people said. They would also loosen rules that require merchants that accept one of a network's credit cards to accept all of them. A deal could be announced soon, the people said, and would require court approval to take effect. If an agreement is finalized, consumers could see big changes at the register. Merchants that accept one kind of Visa credit card wouldn't have to accept all Visa credit cards, for example. Under the current talks, credit-card acceptance would be divided into several categories including rewards credit cards, credit cards with no rewards programs, and commercial cards, the people familiar with the matter said. Some stores might turn away rewards cards, which charge them higher fees and in recent years have become very popular with consumers. But stores that reject those cards would face the risk of declining sales.

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Should we leave space exploration to robots — or prioritize human spaceflight, making us a multiplanetary species? Harvard professor Robin Wordsworth, who's researched the evolution and habitability of terrestrial-type planets, shares his thoughts: In space, as on Earth, industrial structures degrade with time, and a truly sustainable life support system must have the capability to rebuild and recycle them. We've only partially solved this problem on Earth, which is why industrial civilization is currently causing serious environmental damage. There are no inherent physical limitations to life in the solar system beyond Earth — both elemental building blocks and energy from the sun are abundant — but technological society, which developed as an outgrowth of the biosphere, cannot yet exist independently of it. The challenge of building and maintaining robust life-support systems for humans beyond Earth is a key reason why a machine-dominated approach to space exploration is so appealing... However, it's notable that machines in space have not yet accomplished a basic task that biology performs continuously on Earth: acquiring raw materials and utilizing them for self-repair and growth. To many, this critical distinction is what separates living from non-living systems... The most advanced designs for self-assembling robots today begin with small subcomponents that must be manufactured separately beforehand. Overall, industrial technology remains Earth-centric in many important ways. Supply chains for electronic components are long and complex, and many raw materials are hard to source off-world... If we view the future expansion of life into space in a similar way as the emergence of complex life on land in the Paleozoic era, we can predict that new forms will emerge, shaped by their changed environment, while many historical characteristics will be preserved. For machine technology in the near term, evolution in a more life-like direction seems likely, with greater focus on regenerative parts and recycling, as well as increasingly sophisticated self-assembly capabilities. The inherent cost of transporting material out of Earth's gravity well will provide a particularly strong incentive for this to happen. If building space habitats is hard and machine technology is gradually developing more life-like capabilities, does this mean we humans might as well remain Earth-bound forever? This feels hard to accept because exploration is an intrinsic part of the human spirit... To me, the eventual extension of the entire biosphere beyond Earth, rather than either just robots or humans surrounded by mechanical life-support systems, seems like the most interesting and inspiring future possibility. Initially, this could take the form of enclosed habitats capable of supporting closed-loop ecosystems, on the moon, Mars or water-rich asteroids, in the mold of Biosphere 2. Habitats would be manufactured industrially or grown organically from locally available materials. Over time, technological advances and adaptation, whether natural or guided, would allow the spread of life to an increasingly wide range of locations in the solar system. The article ponders the benefits (and the history) of both approaches — with some fasincating insights along the way. "If genuine alien life is out there somewhere, we'll have a much better chance of comprehending it once we have direct experience of sustaining life beyond our home planet."

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"Quantum computing is still years away, but Nvidia just built the bridge that will bring it closer..." argues investment site The Motley Fool, "by linking today's fastest AI GPUs with early quantum processors..." NVIDIA's new hybrid system strengthens communication at microsecond speeds — orders of magnitude faster than before — "allowing AI to stabilize and train quantum machines in real time, potentially pulling major breakthroughs years forward." CUDA-Q, Nvidia's open-source software layer, lets researchers choreograph that link — running AI models, quantum algorithms, and error-correction routines together as one system. That jump allows artificial intelligence to monitor [in real time]... For researchers, that means hundreds of new iterations where there used to be one — a genuine acceleration of discovery. It's the quiet kind of progress engineers love — invisible, but indispensable... Its GPUs (graphics processing units) are already tuned for the dense, parallel calculations these explorations demand, making them the natural partner for any emerging quantum processor... Other companies chase better quantum hardware — superconducting, photonic, trapped-ion — but all of them need reliable coordination with the computing power we already have. By offering that link, Nvidia turns its GPU ecosystem into the operating environment of hybrid computing, the connective tissue between what exists now and what's coming next. And because the system is open, every new lab or start-up that connects strengthens Nvidia's position as the default hub for quantum experimentation... There's also a defensive wisdom in this move. If quantum computing ever matures, it could threaten the same data center model that built Nvidia's empire. CEO Jensen Huang seems intent on making sure that, if the future shifts, Nvidia already sits at its center. By owning the bridge between today's technology and tomorrow's, the company ensures it earns relevance — and revenue — no matter which computing model dominates. So Nvidia's move "isn't about building a quantum computer," the article argues, "it's about owning the bridge every quantum effort will need."

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Brian (previously)found himself contracting for an IoT company, shipping thermostats and other home automation tools, along with mobile apps to control them.

Brian was hired because the previous contractor had hung around long enough for the product to launch, cashed the check, and vanished, never to be heard from again.

And let's just say that Brian's predecessor had a unique communication style.

private class NoOpHandler extends AsyncCharisticHandler { public NoOpHandler(Consumer<BluetoothGattCharacteristic> consumer) { super(null, consumer); } @Override public void Execute() { // Don't do any actual BLE Communication here, and just go straight to the callback, This // handler is just to allow people to get a callback after after a bunch of Async IO Operations // have happened, without throwing all the completion logic into the "last" async callback of your batch // since the "last" one changes. InvokeCallback(); // After this callback has been handled, recheck the queue to run any subsequent Async IO Operations OnBLEAsyncOperationCompleted(); // I'm aware this is recursive. If you get a stack overflow here, you're using it wrong. // You're not supposed to queue thousands of NoOp handlers one after the other, Stop doing it! // If you need to have code executed sequentially just, er... write a fu*king function there is // nothing special about this callback, or the thread it is called on, and you don't need to use // it for anything except getting a callback after doing a batch of async IO, and then, it runs // in the context of the last IO Completion callback, which shouldn't take ages. If you use // AsyncRunWhenCompleted() to create more of these within the callback of AsyncRunWhenCompleted // it just keeps the IO completion thread busy, which also breaks shit. // Basically, you shouldn't be using AsyncRunWhenCompleted() at all if you're not me. } }

Who said bad programmers don't write comments? This bad programmer wrote a ton of comments. What's funny about this is that, despite the wealth of comments, I'm not 100% certain I actually know what I'm supposed to do, aside from not use AsyncRunWhenCompleted.

The block where we initialize the Bluetooth system offers more insight into this programmer's style.

@SuppressLint("MissingPermission") private void initializeBluetooth() { _bluetoothManager = (BluetoothManager) getSystemService(BLUETOOTH_SERVICE); _bluetoothAdapter = _bluetoothManager != null ? _bluetoothManager.getAdapter() : null; if (_bluetoothAdapter != null && _bluetoothAdapter.isEnabled()) { /* #TODO: I don't know if cancelDiscovery does anything... either good, or bad. It seems to make BLE discovery faster after * the service is restarted by android, but I don't know if it screws anything else up in the process. Someone should check into that */ _bluetoothAdapter.cancelDiscovery(); _bluetoothScanner = _bluetoothAdapter.getBluetoothLeScanner(); _scanFilters = Collections.singletonList(new ScanFilter.Builder().setServiceUuid(new ParcelUuid(BLE_LIVELINK_UUID)).build()); CreateScanCallback(); } else { // #TODO: Handle Bluetooth not available or not enabled stopSelf(); } }

This is a clear example of "hacked together till it works". What does cancelDiscovery do? No idea, but we call it anyway because it seems to be faster. Should we look it up? Because yes, it sounds like calling it is correct, based on the docs. Which took me 15 seconds to find. "Someone should check into that," and apparently I am that someone.

Similarly, the second TODO seems like an important missing feature. At least a notification which says, "Hey, you need bluetooth on to talk to bluetooth devices," would go a long way.

All this is in service of an IoT control app, which seems to double as a network scanner. It grabs the name of every Bluetooth and WiFi device it finds, and sends them and a location back to a web service. That web service logs them in a database, which nobody at the company ever looks at. No one wants to delete the database, because it's "valuable", though no one can ever specify exactly how they'd get value from it. At best, they claim, "Well, every other app does it." Mind you, I think we all know how they'd get value: sell all this juicy data to someone else. It's just no one at the company is willing to say that out loud.

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The Rust Foundation has a responsibility to "shed light on the impact of supporting the often unseen work" that keeps the Rust Project running. So this week they announced a new initiative "to provide consistent, transparent, and long term support for the developers who make the Rust programming language possible." It's the Rust Foundation Maintainers Fund, "an initiative we'll shape in close collaboration with the Rust Project Leadership Council and Project Directors to ensure funding decisions are made openly and with accountability." In the months ahead, we'll define the fund's structure, secure contributions, and work with the Rust Project and community to bring it to life. This work will build on lessons from earlier iterations of our grants and fellowships to create a lasting framework for supporting Rust's maintainers... Over the past several months, through ongoing board discussions and input from the Leadership Council, this initiative has taken shape as a way to help maintainers continue their vital development and review work, and plan for the future... This initiative reflects our commitment to Rust being shaped by its people, guided by open collaboration, and backed by a global network of contributors and partners. The Rust Foundation Maintainers Fund will operate within the governance framework shared between the Rust Project and the Rust Foundation, ensuring alignment and oversight at every level... The Rust Foundation's approach to this initiative will be guided by our structure: as a 501( C)(6) nonprofit, we operate under a mandate for transparency and accountability to the Rust Project, language community, and our members. That means we must develop this fund in coordination with the Rust Project's priorities, ensuring shared governance and long-term viability... Our goal is simple: to help the people building Rust continue their essential work with the support they deserve. That means creating the conditions for long term maintainer roles and ensuring continuity for those whose efforts keep the language stable and evolving. Through the Rust Foundation Maintainers Fund, we aim to address these needs directly. "The more companies using Rust can contribute to the Rust Foundation Maintainers Fund, the more we can keep the language and tooling evolving for the benefit of everyone," says Rust Foundation project director Carol Nichols.

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The nonprofit Dust-to-Digital Foundation is making thousands of historic songs accessible to the public for free through a new partnership with the University of California, Santa Barbara. The songs represent "some of the rarest and most uniquely American music borne from the Jazz Age and the Great Depression," according to the university, and classic blues recordings or tracks by Fiddlin' John Carson and his daughter Moonshine Kate "would have likely been lost to landfills and faded from memory." Launched in 1999 by Lance and April Ledbetter, Dust-to-Digital focused on preserving hard-to-find music. Originally a commercial label producing high-quality box sets (along with CDs, records, and books), it established a nonprofit foundation in 2010, working closely with collectors to digitize and preserve record collections. And there's an interesting story about how they became familiar with library curator David Seubert... Once a relationship is established, Dust-to-Digital sets up special turntables and laptops in a collector's home, with paid technicians painstakingly digitizing and labeling each record, one song at a time. Depending on the size of the collection, the process can take months, even years... In 2006, they heard about Seubert's Cylinder Preservation and Digitization Project getting "slashdotted," a term that describes when a website crashes or receives a sudden and debilitating spike in traffic after being mentioned in an article on Slashdot. Here in 2025, the university's library already has over 50,000 songs in a Special Research Collections, which they've been uploading it to a Discography of American Historical Recordings (DAHR) database. ("Recordings in the public domain are also available for free download, in keeping with the UCSB Library's mission for open access.") Over 5,000 more songs from Dust-to-Digital have already been added, says library curator Seubert, and "Thousands more are in the pipeline." One interest detail? The bulk of the new songs come from Joe Bussard, a man whose 75-year obsession with record collecting earned him the name "the king of the record collectors and "the saint of 78s".

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The literary magazine of the Phi Beta Kappa society argues "the replacement of human readers by AI has lately become a real possibility. "In fact, there are good reasons to think that we will soon inhabit a world in which humans still write, but do so mostly for AI." "I write about artificial intelligence a lot, and lately I have begun to think of myself as writing for Al as well," the influential economist Tyler Cowen announced in a column for Bloomberg at the beginning of the year. He does this, he says, because he wants to boost his influence over the world, because he wants to help teach the AIs about things he cares about, and because, whether he wants to or not, he's already writing for AI, and so is everybody else. Large-language-model (LLM) chatbots such as ChatGPT and Claude are trained, in part, by reading the entire internet, so if you put anything of yourself online, even basic social-media posts that are public, you're writing for them. If you don't recognize this fact and embrace it, your work might get left behind or lost. For 25 years, search engines knit the web together. Anyone who wanted to know something went to Google, asked a question, clicked through some of the pages, weighed the information, and came to an answer. Now, the chatbot genie does that for you, spitting the answer out in a few neat paragraphs, which means that those who want to affect the world needn't care much about high Google results anymore. What they really want is for the AI to read their work, process it, and weigh it highly in what it says to the millions of humans who ask it questions every minute. How do you get it to do this? For that, we turn to PR people, always in search of influence, who are developing a form of writing (press releases and influence campaigns are writing) that's not so much search-engine-optimized as chatbot-optimized. It's important, they say, to write with clear structure, to announce your intentions, and especially to include as many formatted sections and headings as you can. In other words, to get ChatGPT to pay attention, you must write more like ChatGPT. It's also possible that, since LLMs understand natural language in a way traditional computer programs don't, good writing will be more privileged than the clickbait Google has succumbed to: One refreshing discovery PR experts have made is that the bots tend to prioritize information from high-quality outlets. Tyler Cowen also wrote in his Bloomberg column that "If you wish to achieve some kind of intellectual immortality, writing for the Als is probably your best chance.... Give the Als a sense not just of how you think, but how you feel — what upsets you, what you really treasure. Then future Al versions of you will come to life that much more, attracting more interest." Has AI changed the reasons we write? The Phi Beta Kappa magazine is left to consider the possibility that "power over a superintelligent beast and resurrection are nothing to sneeze at" — before offering another thought. "The most depressing reason to write for AI is that unlike most humans, AIs still read. They read a lot. They read everything. Whereas, aided by an AI no more advanced than the TikTok algorithm, humans now hardly read anything at all..."

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In 2022 the iPhone 14 featured emergency satellite service, and there's now support for roadside assistance and the ability to send and receive text messages. But for future iPhones, Apple is now reportedly working on five new satellite features, reports LiveMint: As per Bloomberg's Mark Gurman, Apple is building an API that would allow developers to add satellite connections to their own apps. However, the implementation is said to depend on app makers, and not every feature or service may be compatible with this system. The iPhone maker is also reportedly working on bringing satellite connectivity to Apple Maps, which would give users the chance to navigate without having access to a SIM card or Wi-Fi. The company is also said to be working on improved satellite messages that could support sending photos and not be limited to just text messages. Apple currently relies on the satellite network run by Globalstar to power current features on iPhones. However, the company is said to be exploring a potential sale, and Elon Musk's SpaceX could be a possible purchaser. The Mac Observer notes Bloomberg also reported Apple "has discussed building its own satellite service instead of depending on partners." And while some Apple executives pushed back, "the company continues to fund satellite research and infrastructure upgrades with the goal of offering a broader range of features." And "Future iPhones will use satellite links to extend 5G coverage in low-signal regions, ensuring that users remain connected even when cell towers are out of range.... Apple's slow but steady progress shows how the company wants iPhone satellite technology to move from emergency use to everyday convenience."

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"For months, a small company in San Francisco has been pursuing a secretive project: the birth of a genetically engineered baby," reports the Wall Street Journal: Backed by OpenAI chief executive Sam Altman and his husband, along with Coinbase co-founder and CEO Brian Armstrong, the startup — called Preventive — has been quietly preparing what would amount to a biological first. They are working toward creating a child born from an embryo edited to prevent a hereditary disease.... Editing genes in embryos with the intention of creating babies from them is banned in the U.S. and many countries. Preventive has been searching for places to experiment where embryo editing is allowed, including the United Arab Emirates, according to correspondence reviewed by The Wall Street Journal... Preventive is in the vanguard of a growing number of startups, funded by some of the most powerful people in Silicon Valley, that are pushing the boundaries of fertility and working to commercialize reproductive genetic technologies. Some are working on embryo editing, while others are already selling genetic screening tools that seek to account for the influence of dozens or hundreds of genes on a trait. They say their ultimate goal is to produce babies who are free of genetic disease and resilient against illnesses. Some say they can also give parents the ability to choose embryos that will have higher IQs and preferred traits such as height and eye color. Armstrong, the cryptocurrency billionaire, is leading the charge to make embryo editing a reality. He has told people that gene-editing technology could produce children who are less prone to heart disease, with lower cholesterol and stronger bones to prevent osteoporosis. According to documents and people briefed on his plans, he is already an investor or in talks with embryo editing ventures... After the Journal approached people close to the company last month to ask about its work, Preventive announced on its website that it had raised $30 million in investment to explore embryo editing. The statement pledged not to advance to human trials "if safety cannot be established through extensive research..." Other embryo editing startups are Manhattan Genomics, co-founded by Thiel Fellow Cathy Tie, and Bootstrap Bio, which plans to conduct tests in Honduras. Both companies are in early stages. The article notes the only known instance of children born from edited embryos was in 2018, when Chinese scientist He Jiankui "shocked the world with news that he had produced three children genetically altered as embryos to be immune to HIV. He was sentenced to prison in China for three years for the illegal practice of medicine. "He hasn't publicly shared the children's identities but says they are healthy.

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After the Python Software Foundation rejected a $1.5 million grant because it restricted DEI activity, "a flood of new donations followed," according to a new report. By Friday they'd raised over $157,000, including 295 new Supporting Members paying an annual $99 membership fee, says PSF executive director Deb Nicholson. "It doesn't quite bridge the gap of $1.5 million, but it's incredibly impactful for us, both financially and in terms of feeling this strong groundswell of support from the community." Could that same security project still happen if new funding materializes? The PSF hasn't entirely given up. "The PSF is always looking for new opportunities to fund work benefiting the Python community," Nicholson told me in an email last week, adding pointedly that "we have received some helpful suggestions in response to our announcement that we will be pursuing." And even as things stand, the PSF sees itself as "always developing or implementing the latest technologies for protecting PyPI project maintainers and users from current threats," and it plans to continue with that commitment. The Python Software Foundation was "astounded and deeply appreciative at the outpouring of solidarity in both words and actions," their executive director wrote in a new blog post this week, saying the show of support "reminds us of the community's strength." But that post also acknowledges the reality that the Python Software Foundation's yearly revenue and assets (including contributions from major donors) "have declined, and costs have increased,..." Historically, PyCon US has been a source of revenue for the PSF, enabling us to fund programs like our currently paused Grants Program... Unfortunately, PyCon US has run at a loss for three years — and not from a lack of effort from our staff and volunteers! Everyone has been working very hard to find areas where we can trim costs, but even with those efforts, inflation continues to surge, and changing U.S. and economic conditions have reduced our attendance... Because we have so few expense categories (the vast majority of our spending goes to running PyCon US, the Grants Program, and our small 13-member staff), we have limited "levers to pull" when it comes to budgeting and long-term sustainability... While Python usage continues to surge, "corporate investment back into the language and the community has declined overall. The PSF has longstanding sponsors and partners that we are ever grateful for, but signing on new corporate sponsors has slowed." (They're asking employees at Python-using companies to encourage sponsorships.) We have been seeking out alternate revenue channels to diversify our income, with some success and some challenges. PyPI Organizations offers paid features to companies (PyPI features are always free to community groups) and has begun bringing in monthly income. We've also been seeking out grant opportunities where we find good fits with our mission.... We currently have more than six months of runway (as opposed to our preferred 12 months+ of runway), so the PSF is not at immediate risk of having to make more dramatic changes, but we are on track to face difficult decisions if the situation doesn't shift in the next year. Based on all of this, the PSF has been making changes and working on multiple fronts to combat losses and work to ensure financial sustainability, in order to continue protecting and serving the community in the long term. Some of these changes and efforts include: — Pursuing new sponsors, specifically in the AI industry and the security sector — Increasing sponsorship package pricing to match inflation — Making adjustments to reduce PyCon US expenses — Pursuing funding opportunities in the US and Europe — Working with other organizations to raise awareness — Strategic planning, to ensure we are maximizing our impact for the community while cultivating mission-aligned revenue channels The PSF's end-of-year fundraiser effort is usually run by staff based on their capacity, but this year we have assembled a fundraising team that includes Board members to put some more "oomph" behind the campaign. We'll be doing our regular fundraising activities; we'll also be creating a unique webpage, piloting temporary and VERY visible pop-ups to python.org and PyPI.org, and telling more stories from our Grants Program recipients... Keep your eyes on the PSF Blog, the PSF category on Discuss, and our social media accounts for updates and information as we kick off the fundraiser this month. Your boosts of our posts and your personal shares of "why I support the PSF" stories will make all the difference in our end-of-year fundraiser. If this post has you all fired up to personally support the future of Python and the PSF right now, we always welcome new PSF Supporting Members and donations.

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UPDATE (1:16 PST) Today's launch has been scrubbed due to weather, and Blue Origin is now reviewing opportunities for new launch windows. Sunday Morning Blue Origin livestreamed the planned launch of its New Glenn rocket, which will carry a very unique mission for NASA. "Twin spacecraft are set to take off on an unprecedented, winding journey to Mars," reports CNN, "where they will investigate why the barren red planet began to lose its atmosphere billions of years ago." By observing two Mars locations simultaneously, this mission can measure how Mars responds to space weather in real time — and how the Martian magnetosphere changes... Called EscaPADE, the mission will aim for an orbital trajectory that has never been attempted before, according to aerospace company Advanced Space, which is supporting the project. If successful, it could be a crucial case study that can allow extraordinary flexibility for planetary science missions down the road. The robotic mission plans to spend a year idling in an orbital backroad before heading to its target destination... [R]ather than turning toward Mars, the two orbiters will instead aim for Lagrange Point 2, or L2 — a cosmic balance point about 1.5 million kilometers (930,000 miles) from Earth. Lagrange points are special because they act as gravitational wells in which the pull of the sun and Earth are in perfect balance. The conditions can allow spacecraft to linger without being dragged away... The spacecraft will then loop endlessly in a kidney bean-shaped orbit around L2 until next year's Mars transfer window opens. This "launch and loiter" project is part of NASA's SIMPLEx [Small, Innovative Missions for Planetary Exploration] program, which seeks high-value missions for less money, notes CNN. "EscaPADE's cost was less than $100 million, compared with the roughly $300 million to $600 million price tags of other NASA satellites orbiting Mars." "Blue Origin is also attempting to land and recover New Glenn's first-stage booster," notes another CNN article.

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"According to court filings and interviews with lawyers and scholars, the legal profession in recent months has increasingly become a hotbed for AI blunders," reports the New York Times: Earlier this year, a lawyer filed a motion in a Texas bankruptcy court that cited a 1985 case called Brasher v. Stewart. Only the case doesn't exist. Artificial intelligence had concocted that citation, along with 31 others. A judge blasted the lawyer in an opinion, referring him to the state bar's disciplinary committee and mandating six hours of A.I. training. That filing was spotted by Robert Freund, a Los Angeles-based lawyer, who fed it to an online database that tracks legal A.I. misuse globally. Mr. Freund is part of a growing network of lawyers who track down A.I. abuses committed by their peers, collecting the most egregious examples and posting them online. The group hopes that by tracking down the A.I. slop, it can help draw attention to the problem and put an end to it... [C]ourts are starting to map out punishments of small fines and other discipline. The problem, though, keeps getting worse. That's why Damien Charlotin, a lawyer and researcher in France, started an online database in April to track it. Initially he found three or four examples a month. Now he often receives that many in a day. Many lawyers... have helped him document 509 cases so far. They use legal tools like LexisNexis for notifications on keywords like "artificial intelligence," "fabricated cases" and "nonexistent cases." Some of the filings include fake quotes from real cases, or cite real cases that are irrelevant to their arguments. The legal vigilantes uncover them by finding judges' opinions scolding lawyers... Court-ordered penalties "are not having a deterrent effect," said Freund, who has publicly flagged more than four dozen examples this year. "The proof is that it continues to happen."

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"A tape-based piece of unique Unix history may have been lying quietly in storage at the University of Utah for 50+ years," reports The Register. And the software librarian at Silicon Valley's Computer History Museum, Al Kossow of Bitsavers, believes the tape "has a pretty good chance of being recoverable." Long-time Slashdot reader bobdevine says the tape will be analyzed at the Computer History Museum. More from The Register: The news was posted to Mastodon by Professor Robert Ricci of the University of Utah's Kahlert School of Computing [along with a picture. "While cleaning a storage room, our staff found this tape containing #UNIX v4 from Bell Labs, circa 1973..." Ricci posted on Mastodon. "We have arranged to deliver it to the Computer History Museum."] The nine-track tape reel bears a handwritten label reading: UNIX Original From Bell Labs V4 (See Manual for format)... If it's what it says on the label, this is a notable discovery because little of UNIX V4 remains. That's unfortunate as this specific version is especially interesting: it's the first version of UNIX in which the kernel and some of the core utilities were rewritten in the new C programming language. Until now, the only surviving parts known were the source code to a slightly older version of the kernel and a few man pages — plus the Programmer's Manual [PDF], from November 1973. The Unix Heritage Society hosts those surviving parts — and apparently some other items of interest, according to a comment posted on Mastodon. "While going through the tapes from Dennis Ritchie earlier this year, I found some UNIX V4 distribution documents," posted Mastodon user "Broken Pipe," linking to tuhs.org/Archive/Applications/Dennis_Tapes/Gao_Analysis/v4_dist/. There's a file called license ("The program and information transmitted herewith is and shall remain the property of Bell Lab%oratories...") and coldboot ("Mount good tape on drive 0..."), plus a six-page "Setup" document that ends with these words... We expect to have a UNIX seminar early in 1974. Good luck. Ken Thompson Dennis Ritchie Bell Telephone Labs Murray Hill, NJ 07974

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An anonymous reader shared this report from CNBC: Neurodiverse professionals may see unique benefits from artificial intelligence tools and agents, research suggests. With AI agent creation booming in 2025, people with conditions like ADHD, autism, dyslexia and more report a more level playing field in the workplace thanks to generative AI. A recent study from the UK's Department for Business and Trade found that neurodiverse workers were 25% more satisfied with AI assistants and were more likely to recommend the tool than neurotypical respondents. [The study involved 1,000 users of Microsoft 365 Copilot from October through December of 2024.] "Standing up and walking around during a meeting means that I'm not taking notes, but now AI can come in and synthesize the entire meeting into a transcript and pick out the top-level themes," said Tara DeZao, senior director of product marketing at enterprise low-code platform provider Pega. DeZao, who was diagnosed with ADHD as an adult, has combination-type ADHD, which includes both inattentive symptoms (time management and executive function issues) and hyperactive symptoms (increased movement). "I've white-knuckled my way through the business world," DeZao said. "But these tools help so much...." Generative AI happens to be particularly adept at skills like communication, time management and executive functioning, creating a built-in benefit for neurodiverse workers who've previously had to find ways to fit in among a work culture not built with them in mind. Because of the skills that neurodiverse individuals can bring to the workplace — hyperfocus, creativity, empathy and niche expertise, just to name a few — some research suggests that organizations prioritizing inclusivity in this space generate nearly one-fifth higher revenue. "Investing in ethical guardrails, like those that protect and aid neurodivergent workers, is not just the right thing to do," said Kristi Boyd, an AI specialist with the SAS data ethics practice. "It's a smart way to make good on your organization's AI investments."

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A maintainer of Debian's Advanced Package Tool (APT) "has announced plans to introduce hard Rust dependencies into APT starting May 2026," reports the blog It's FOSS. The integration targets critical areas like parsing .deb, .ar, and tar files plus HTTP signature verification using Sequoia. [APT maintainer Julian Andres Klode] said these components "would strongly benefit from memory safe languages and a stronger approach to unit testing." He also gave a firm message to maintainers of Debian ports: "If you maintain a port without a working Rust toolchain, please ensure it has one within the next 6 months, or sunset the port." The reasoning is straightforward. Debian wants to move forward with modern tools rather than being held back by legacy architecture... Debian ports running on CPU architectures without Rust compiler support have six months to add proper toolchains. If they can't meet this deadline, those ports will need to be discontinued. As a result, some obscure or legacy platforms may lose official support. For most users on mainstream architectures like x86_64 and ARM, nothing changes. Your APT will simply become more secure and reliable under the hood. It's FOSS argues that "If done right, this could significantly strengthen APT's security and code quality." And the blog Linuxiac also supports the move. "By embedding Rust into APT, the distro joins a growing number of major open-source projects, such as the Linux kernel, Firefox, and systemd, that are gradually adopting Rust. And if I had to guess, I'd say this is just one of the first steps toward even deeper Rust integration in this legendary distribution, which is a good thing."

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After popular arcade games like Mortal Kombat and Spy Hunter, Midway Games jumped into the home console market, and in 2003 launched their baseball game franchise "MLB Slugfest" for Xbox, PS2, and GameCube. But at times it was almost a parody of baseball, including announcers filling the long hours of airtime with bizarre, rambling conversations. ("I read today that kitchen utensils are gonna hurt more people tonight than lifting heavy objects during the day...") Now former Midway Games producer Mark Flitman has revealed the even weirder conversations rejected by Major League Baseball. ("Ah, baseball on a sunny afternoon. Is there anything better? We've been talking about breaking pop bottles with rocks. I guess that is...") The nonprofit Video Game History Foundation published the text in their digital archive — and shared 79 seconds of sound clips that were actually recorded but never used in the final game. ("Enjoying some smoked whale meat up here in the booth today...") Their BlueSky post with the audio drew over 5,500 likes and 2,400 reposts, with one commenter wondering if the bizarre (and unapproved) conversations were "part of the tactic where you include overtly inappropriate content to make the stuff you actually want to keep seem more appropriate." But the Foundation's library director thinks the voice actors were just going wild. "We talked with Mark on our podcast and it sounds like they just did a lot of improv and got carried away." He added later that the game's producer "would give them prompts and they'd run with it. The voice actors (Kevin Matthews and Tim Kitzrow) have backgrounds in sports radio and comedy, so they came up with wild nonsense like this." The gaming site Aftermath notes the Foundation also has an archive page for all the other sound files on the CD. Maybe it's the ultimate tribute to the craziness that was MLB Slugfest. Years ago some fans of the game shared their memories on Reddit... "The first time my friend tried to bean me and my hitter caught the ball was so hype, we were freaking out. Every game quickly evolved into trying to get our hitters to charge the mound." "I just remembered you could also kick the shit out of the fielder near your base if he got too close. Man that game was awesome." "You could do jump kicks into the catcher like Richie from The Benchwarmers." "Every time someone got on base we would run the ball over to them and beat their asses for 30 seconds. Good times." Six years after the launch of the franchise, Midway Games declared bankruptcy.

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"For months, extremely personal and sensitive ChatGPT conversations have been leaking into an unexpected destination," reports Ars Technica: the search-traffic tool for webmasters , Google Search Console. Though it normally shows the short phrases or keywords typed into Google which led someone to their site, "starting this September, odd queries, sometimes more than 300 characters long, could also be found" in Google Search Console. And the chats "appeared to be from unwitting people prompting a chatbot to help solve relationship or business problems, who likely expected those conversations would remain private." Jason Packer, owner of analytics consulting firm Quantable, flagged the issue in a detailed blog post last month, telling Ars Technica he'd seen 200 odd queries — including "some pretty crazy ones." (Web optimization consultant Slobodan ManiÄ helped Packer investigate...) Packer points out "nobody clicked share" or were given an option to prevent their chats from being exposed. Packer suspected that these queries were connected to reporting from The Information in August that cited sources claiming OpenAI was scraping Google search results to power ChatGPT responses. Sources claimed that OpenAI was leaning on Google to answer prompts to ChatGPT seeking information about current events, like news or sports... "Did OpenAI go so fast that they didn't consider the privacy implications of this, or did they just not care?" Packer posited in his blog... Clearly some of those searches relied on Google, Packer's blog said, mistakenly sending to GSC "whatever" the user says in the prompt box... This means "that OpenAI is sharing any prompt that requires a Google Search with both Google and whoever is doing their scraping," Packer alleged. "And then also with whoever's site shows up in the search results! Yikes." To Packer, it appeared that "ALL ChatGPT prompts" that used Google Search risked being leaked during the past two months. OpenAI claimed only a small number of queries were leaked but declined to provide a more precise estimate. So, it remains unclear how many of the 700 million people who use ChatGPT each week had prompts routed to Google Search Console. "Perhaps most troubling to some users — whose identities are not linked in chats unless their prompts perhaps share identifying information — there does not seem to be any way to remove the leaked chats from Google Search Console.."

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The new series from Breaking Bad creator Vince Gilligan, Pluribus, was emphatically made by humans, not AI, reports TechCrunch: If you watched all the way to the end of the new Apple TV show "Pluribus," you may have noticed an unusual disclaimer in the credits: "This show was made by humans." That terse message — placed right below a note that "animal wranglers were on set to ensure animal safety" — could potentially provide a model for other filmmakers seeking to highlight that their work was made without the use of generative AI. In fact, yesterday the former X-Files writer told Variety "I hate AI. AI is the world's most expensive and energy-intensive plagiarism machine...." He goes on, about how AI-generated content is "like a cow chewing its cud — an endlessly regurgitated loop of nonsense," and how the U.S. will fail to regulate the technology because of an arms race with China. He works himself up until he's laughing again, proclaiming: "Thank you, Silicon Valley! Yet again, you've fucked up the world." He also says "there's a very high possibility that this is all a bunch of horseshit," according to the article. "It's basically a bunch of centibillionaires whose greatest life goal is to become the world's first trillionaires. I think they're selling a bag of vapor." And earlier this week he told Polygon that he hasn't used ChatGPT "because, as of yet, no one has held a shotgun to my head and made me do it." (Adding "I will never use it.") Time magazine called Thursday's two-episode premiere "bonkers." Though ironically, that premiere hit its own dystopian glitch. "After months of buildup and an omnipresent advertising campaign, Apple's much-anticipated new show Pluribus made its debut..." reports Macworld. "And the service promptly suffered a major outage across the U.S. and Canada." As reported by Bloomberg and others, users started to report that the service had crashed at around 10:30 p.m. ET, shortly after Apple made the first two episodes of the show available to stream. There were almost 13,000 reports on Downdetector before Apple acknowledged the problem on its System Status page. Reports say the outage was brief, lasting less than an hour... [T]here remains a Resolved Outage note on Apple TV (simply saying "Some users were affected; users experienced a problem with Apple TV" between 10:29 and 11.38 p.m.), as well as on Apple Music and Apple Arcade, which also went down at the same time. Social media reports indicated that the outage was widespread.

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"The Firefox brand is getting a refresh and you get the first look," says a new web page at Firefox.com. "Kit's our new mascot and your new companion through an internet that's private, open and actually yours." Slashdot reader BrianFagioli believes the new mascot "is meant to communicate that message in a warmer, more relatable way." And Firefox is already selling shirts with Kit over the pocket (as well as stickers)...

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For more than a decade, the nonprofit Common Crawl "has been scraping billions of webpages to build a massive archive of the internet," notes the Atlantic, making it freely available for research. "In recent years, however, this archive has been put to a controversial purpose: AI companies including OpenAI, Google, Anthropic, Nvidia, Meta, and Amazon have used it to train large language models. "In the process, my reporting has found, Common Crawl has opened a back door for AI companies to train their models with paywalled articles from major news websites. And the foundation appears to be lying to publishers about this — as well as masking the actual contents of its archives..." Common Crawl's website states that it scrapes the internet for "freely available content" without "going behind any 'paywalls.'" Yet the organization has taken articles from major news websites that people normally have to pay for — allowing AI companies to train their LLMs on high-quality journalism for free. Meanwhile, Common Crawl's executive director, Rich Skrenta, has publicly made the case that AI models should be able to access anything on the internet. "The robots are people too," he told me, and should therefore be allowed to "read the books" for free. Multiple news publishers have requested that Common Crawl remove their articles to prevent exactly this use. Common Crawl says it complies with these requests. But my research shows that it does not. I've discovered that pages downloaded by Common Crawl have appeared in the training data of thousands of AI models. As Stefan Baack, a researcher formerly at Mozilla, has written, "Generative AI in its current form would probably not be possible without Common Crawl." In 2020, OpenAI used Common Crawl's archives to train GPT-3. OpenAI claimed that the program could generate "news articles which human evaluators have difficulty distinguishing from articles written by humans," and in 2022, an iteration on that model, GPT-3.5, became the basis for ChatGPT, kicking off the ongoing generative-AI boom. Many different AI companies are now using publishers' articles to train models that summarize and paraphrase the news, and are deploying those models in ways that steal readers from writers and publishers. Common Crawl maintains that it is doing nothing wrong. I spoke with Skrenta twice while reporting this story. During the second conversation, I asked him about the foundation archiving news articles even after publishers have asked it to stop. Skrenta told me that these publishers are making a mistake by excluding themselves from "Search 2.0" — referring to the generative-AI products now widely being used to find information online — and said that, anyway, it is the publishers that made their work available in the first place. "You shouldn't have put your content on the internet if you didn't want it to be on the internet," he said. Common Crawl doesn't log in to the websites it scrapes, but its scraper is immune to some of the paywall mechanisms used by news publishers. For example, on many news websites, you can briefly see the full text of any article before your web browser executes the paywall code that checks whether you're a subscriber and hides the content if you're not. Common Crawl's scraper never executes that code, so it gets the full articles. Thus, by my estimate, the foundation's archives contain millions of articles from news organizations around the world, including The Economist, the Los Angeles Times, The Wall Street Journal, The New York Times, The New Yorker, Harper's, and The Atlantic.... A search for nytimes.com in any crawl from 2013 through 2022 shows a "no captures" result, when in fact there are articles from NYTimes.com in most of these crawls. "In the past year, Common Crawl's CCBot has become the scraper most widely blocked by the top 1,000 websites," the article points out...

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