An anonymous reader quotes a report from Ars Technica: OpenAI is preparing to raise what could be its final defense to stop The New York Times from digging through a spectacularly broad range of ChatGPT logs to hunt for any copyright-infringing outputs that could become the most damning evidence in the hotly watched case. In a joint letter (PDF) Thursday, both sides requested to hold a confidential settlement conference on August 7. Ars confirmed with the NYT's legal team that the conference is not about settling the case but instead was scheduled to settle one of the most disputed aspects of the case: news plaintiffs searching through millions of ChatGPT logs. That means it's possible that this week, ChatGPT users will have a much clearer understanding of whether their private chats might be accessed in the lawsuit. In the meantime, OpenAI has broken down (PDF) the "highly complex" process required to make deleted chats searchable in order to block the NYT's request for broader access. Previously, OpenAI had vowed to stop what it deemed was the NYT's attempt to conduct "mass surveillance" of ChatGPT users. But ultimately, OpenAI lost its fight to keep news plaintiffs away from all ChatGPT logs. After that loss, OpenAI appears to have pivoted and is now doing everything in its power to limit the number of logs accessed in the case -- short of settling -- as its customers fretted over serious privacy concerns. For the most vulnerable users, the lawsuit threatened to expose ChatGPT outputs from sensitive chats that OpenAI had previously promised would be deleted. Most recently, OpenAI floated a compromise, asking the court to agree that news organizations didn't need to search all ChatGPT logs. The AI company cited the "only expert" who has so far weighed in on what could be a statistically relevant, appropriate sample size -- computer science researcher Taylor Berg-Kirkpatrick. He suggested that a sample of 20 million logs would be sufficient to determine how frequently ChatGPT users may be using the chatbot to regurgitate articles and circumvent news sites' paywalls. But the NYT and other news organizations rejected the compromise, OpenAI said in a filing (PDF) yesterday. Instead, news plaintiffs have made what OpenAI said was an "extraordinary request that OpenAI produce the individual log files of 120 million ChatGPT consumer conversations." That's six times more data than Berg-Kirkpatrick recommended, OpenAI argued. Complying with the request threatens to "increase the scope of user privacy concerns" by delaying the outcome of the case "by months," OpenAI argued. If the request is granted, it would likely trouble many users by extending the amount of time that users' deleted chats will be stored and potentially making them vulnerable to a breach or leak. As negotiations potentially end this week, OpenAI's co-defendant, Microsoft, has picked its own fight with the NYT over its internal ChatGPT equivalent tool that could potentially push the NYT to settle the disputes over ChatGPT logs.

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Roku has launched Howdy, a new ad-free streaming service that costs $2.99 a month. The streaming platform says it offers 10,000 hours of content from Lionsgate, Warner Bros. Discovery and FilmRise, as well as its own, exclusive programming known as Roku Originals. CNBC reports: The service is available across the U.S. beginning Tuesday. [...] The new service runs alongside the Roku Channel, which will remain free. Howdy will initially be available on the Roku platform, and will later be rolled out on mobile and other platforms, the company said. "Priced at less than a cup of coffee, Howdy is ad-free and designed to complement, not compete with, premium services," said Roku founder and CEO Anthony Wood in the release.

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According to two sources Reuters spoke with, Intel is struggling with low yields in its next-gen 18A chip manufacturing process for its next PC chip, Panther Lake. Internal data suggests the company is far from reaching commercially viable production levels, leading some insiders to describe the effort as a "Hail Mary." Reuters reports: For months, Intel has promised investors it would increase manufacturing using a process it calls 18A. It spent billions of dollars developing 18A, including the construction or upgrades of several factories, with the goal of challenging Taiwan's chipmaking heavyweight, TSMC. Intel wants to round out its business designing chips that it largely makes in-house and TSMC helps it produce, with a contract manufacturing business that can compete with this key supplier. But whether Intel revives advanced chip production in the U.S. and gets its contract foundry on solid footing depends on closing the technology gap with TSMC. Early tests disappointed customers last year, but Intel has said its 18A is on track to make its "Panther Lake" laptop semiconductors at high volume starting in 2025, which include next-generation transistors and a more efficient way to deliver power to the chip. The chipmaker has hoped that producing such an advanced in-house chip would grow external interest in its foundry, at a time when new CEO Lip-Bu Tan has explored a major shift to course-correct that fledgling business, Reuters previously reported. Yet only a small percentage of the Panther Lake chips printed via 18A have been good enough to make available to customers, said the two people, who were briefed on the company's test data since late last year. The sources spoke on condition of anonymity because Intel did not authorize them to disclose such information. This percentage figure, known as yield, means Intel may struggle to make its high-end laptop chip profitably in the near future. [...] Intel in the past has aimed for a yield north of 50% before ramping production because starting any earlier risked damaging its profit margin, three of the sources said. Intel typically does not make the lion's share of its profit until yields reach roughly 70% to 80%, key for a chip as small as Panther Lake where many defects would make it a tough sell, the three people said. Profit also flows from market expansions and building up factory output, Intel said. An immense yield increase would be a tall task by Panther Lake's fourth-quarter launch, the two people with knowledge of Intel's manufacturing operation said. But without such a jump, Intel may have to sell some chips at a lower profit margin or at a loss, the two sources briefed on test data said. The company has warned it could exit leading-edge manufacturing entirely if it does not land external business for 14A, which is 18A's next-generation successor.

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An anonymous reader quotes a report from The Verge: Google DeepMind is releasing a new version of its AI "world" model, called Genie 3, capable of generating 3D environments that users and AI agents can interact with in real time. The company is also promising that users will be able to interact with the worlds for much longer than before and that the model will actually remember where things are when you look away from them. [...] Genie 3 seems like it could be a notable step forward. Users will be able to generate worlds with a prompt that supports a "few" minutes of continuous interaction, which is up from the 10-20 seconds of interaction possible with Genie 2, according to a blog post. Google says that Genie 3 can keep spaces in visual memory for about a minute, meaning that if you turn away from something in a world and then turn back to it, things like paint on a wall or writing on a chalkboard will be in the same place. The worlds will also have a 720p resolution and run at 24fps. DeepMind is adding what it calls "promptable world events" into Genie 3, too. Using a prompt, you'll be able to do things like change weather conditions in a world or add new characters. The model is launching as "a limited research preview" available to "a small cohort of academics and creators," according to Google. It's "exploring" how to bring Genie 3 to "additional testers."

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Standard DDR4 DRAM prices doubled between May and June 2025, with 8-gigabit units reaching $4.12 and 4-gigabit units hitting $3.14 -- the latter's highest level since July 2021, according to electronics trading companies cited by Nikkei Asia. The unprecedented single-month doubling follows speculation that Chinese manufacturer ChangXin Memory Technologies has halted DDR4 production to shift factories toward DDR5 memory for AI applications. DDR4 currently comprises 60% of desktop PC memory while DDR5 accounts for 40%, per Tokyo-based BCN research. Samsung Electronics, SK Hynix, and Micron Technology controlled 90% of the global DRAM market in Q2 2025.

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The U.S. Transportation Department is proposing new rules to speed deployment of drones beyond the visual line of sight of operators, a key change needed to advance commercial uses like package deliveries. From a report: "We are going to unleash American drone dominance," Transportation Secretary Sean Duffy said at a press conference on Tuesday. Under current rules, operators need to get individual waivers or exemptions to use drones without visual line of sight. The department said eliminating those requirements "will significantly expand the use-case for drone technologies in areas like: manufacturing, farming, energy production, filmmaking, and the movement of products including lifesaving medications." The proposal includes new requirements for manufacturers, operators, and drone traffic-management services to keep drones safely separated from other drones and airplanes. "It's going to change the way that people and products move throughout our airspace... so you may change the way you get your Amazon package, you may get a Starbucks cup of coffee from a drone," Duffy said.

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Nearly one-third of all retracted papers at PLoS ONE can be traced back to just 45 researchers who served as editors at the journal, an analysis of its publication records has found. Nature: The study, published in Proceedings of the National Academy of Sciences (PNAS), found that 45 editors handled only 1.3% of all articles published by PLoS ONE from 2006 to 2023, but that the papers they accepted accounted for more than 30% of the 702 retractions that the journal issued by early 2024. Twenty-five of these editors also authored papers in PLoS ONE that were later retracted. The PNAS authors did not disclose the names of any of the 45 editors. But, by independently analysing publicly available data from PLoS ONE and the Retraction Watch database, Nature's news team has identified five of the editors who handled the highest number of papers that were subsequently retracted by the journal. Together, those editors accepted about 15% of PLoS ONE's retracted papers up to 14 July.

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OpenAI has released two open-weight language models, marking the startup's first such release since GPT-2 in 2019. The models, gpt-oss-120b and gpt-oss-20b, can run locally on consumer devices and be fine-tuned for specific purposes. Both models use chain-of-thought reasoning approaches first deployed in OpenAI's o1 model and can browse the web, execute code, and function as AI agents. The smaller 20-billion-parameter model runs on consumer devices with 16 GB of memory. Gpt-oss-120B model will require about 80 GB of memory. OpenAI said the 120-billion-parameter model performs similarly to the company's proprietary o3 and o4-mini models. The models are available free on Hugging Face under the Apache 2.0 license after safety testing that delayed their March announcement.

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The Government Accountability Office has issued reports criticizing the Department of Homeland Security, Environmental Protection Agency, and General Services Administration for failing to implement critical IT and cybersecurity recommendations. DHS leads with 43 unresolved recommendations dating to 2018, including seven priority matters. The EPA has 11 outstanding items, including failures to submit FedRAMP documentation and conduct organization-wide cybersecurity risk assessments. GSA has four pending recommendations. All three agencies failed to properly log cybersecurity events and conduct required annual IT portfolio reviews. The DHS' HART biometric program remains behind schedule without proper cost accounting or privacy controls, with all nine 2023 recommendations still open.

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Wikipedia editors have adopted a policy enabling administrators to delete AI-generated articles without the standard week-long discussion period. Articles containing telltale LLM responses like "Here is your Wikipedia article on" or "Up to my last training update" now qualify for immediate removal. Articles with fabricated citations -- nonexistent papers or unrelated sources such as beetle research cited in computer science articles -- also meet deletion criteria.

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Palantir chief executive Alex Karp has told analysts and investors that the company treats Harvard, Princeton and Yale graduates the same as those without college degrees, calling employment at the data analytics firm "a new credential independent of class and background." During the earnings call Monday where Palantir reported its first billion-dollar revenue quarter, Karp said university graduates come to the company after being "engaged in platitudes" and claimed workers without college degrees sometimes create more value than degree holders using Palantir products. The company launched its Meritocracy Fellowship this spring to recruit talent outside traditional university pathways.

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An anonymous reader shares a report: Microsoft has published a new video that appears to be the first in an upcoming series of videos dubbed "Windows 2030 Vision," where the company outlines its vision for the future of Windows over the next five years. It curiously makes references to some potentially major changes on the horizon, in the wake of AI. This first episode features David Weston, Microsoft's Corporate Vice President of Enterprise & Security, who opens the video by saying "the world of mousing and keyboarding around will feel as alien as it does to Gen Z [using] MS-DOS." Right out of the gate, it sounds like he's teasing the potential for a radical new desktop UX made possible by agentic AI. Weston later continues, "I truly believe the future version of Windows and other Microsoft operating systems will interact in a multimodal way. The computer will be able to see what we see, hear what we hear, and we can talk to it and ask it to do much more sophisticated things."

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AI meeting transcription software is inadvertently sharing private conversations with all meeting participants through automated summaries. WSJ found a series of mishaps that people confirmed on-record. Digital marketing agency owner Tiffany Lewis discovered her "Nigerian prince" joke about a potential client was included in the summary sent to that same client. Nashville branding firm Studio Delger received meeting notes documenting their discussion about "getting sandwich ingredients from Publix" and not liking soup when their client failed to appear. Communications agency coordinator Andrea Serra found her personal frustrations about a neighborhood Whole Foods and a kitchen mishap while making sweet potato recipes included in official meeting recaps distributed to colleagues.

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An anonymous reader shares a report: A researcher has scraped nearly 100,000 conversations from ChatGPT that users had set to share publicly and Google then indexed, creating a snapshot of all the sorts of things people are using OpenAI's chatbot for, and inadvertently exposing. 404 Media's testing has found the dataset includes everything from the sensitive to the benign: alleged texts of non-disclosure agreements, discussions of confidential contracts, people trying to use ChatGPT to understand their relationship issues, and lots of people asking ChatGPT to write LinkedIn posts. The news follows a July 30 Fast Company article which reported "thousands" of shared ChatGPT chats were appearing in Google search results. People have since dug through some of the chats indexed by Google. The around 100,000 conversation dataset provides a better sense of the scale of the problem, and highlights some of the potential privacy risks in using any sharing features of AI tools. OpenAI did not dispute the figure of around 100,000 indexed chats when contacted for comment.

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The U.S. Coast Guard determined the implosion of the Titan submersible that killed five people while traveling to the wreckage of the Titanic was a preventable disaster caused by OceanGate Expeditions's inability to meet safety and engineering standards. WSJ: A 335-page report [PDF] detailing a two-year inquiry from the U.S. Coast Guard's Marine Board of Investigation found the company that owned and operated the Titan failed to follow maintenance and inspection protocols for the deep-sea submersible. OceanGate avoided regulatory review and managed the submersible outside of standard protocols "by strategically creating and exploiting regulatory confusion and oversight challenges," the report said. The Coast Guard opened its highest-level investigation into the event in June 2023, shortly after the implosion occurred. "There is a need for stronger oversight and clear options for operators who are exploring new concepts outside of the existing regulatory framework," Jason Neubauer, the chair of the Coast Guard Marine Board of Investigation for the Titan submersible, said in a statement.

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An anonymous reader shares a report: In a landmark move, Illinois state lawmakers have passed a bill banning AI from acting as a standalone therapist and placing firm guardrails on how mental health professionals can use AI to support care. Governor JB Pritzker signed the bill into law on Aug. 1. The legislation, dubbed the Wellness and Oversight for Psychological Resources Act, was introduced by Rep. Bob Morgan and makes one thing clear: only licensed professionals can deliver therapeutic or psychotherapeutic services to another human being. [...] Under the new state law, mental health providers are barred from using AI to independently make therapeutic decisions, interact directly with clients, or create treatment plans -- unless a licensed professional has reviewed and approved it. The law also closes a loophole that allows unlicensed persons to advertise themselves as "therapists."

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For years, whistle-blowers have warned that fake results are sneaking into the scientific literature at an increasing pace. A new statistical analysis backs up the concern. From a report: A team of researchers found evidence of shady organizations churning out fake or low-quality studies on an industrial scale. And their output is rising fast, threatening the integrity of many fields. "If these trends are not stopped, science is going to be destroyed," said LuÃs A. Nunes Amaral, a data scientist at Northwestern University and an author of the study, which was published in the Proceedings of the National Academy of Sciences on Monday. Science has made huge advances over the past few centuries only because new generations of scientists could read about the accomplishments of previous ones. Each time a new paper is published, other scientists can explore the findings and think about how to make their own discoveries. Fake scientific papers produced by commercial "paper mills" are doubling every year and a half, according to the report. Northwestern University researchers examined over one million papers and identified networks of fraudulent studies sold to scientists seeking to pad their publication records. The team estimates the actual scope of fraud may be 100 times greater than currently detected cases. Paper mills charge hundreds to thousands of dollars for fake authorship and often target specific research fields like microRNA cancer studies.

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BrianFagioli shares a report from NERDS.xyz: Synchron has just released a public demo showing something that used to feel impossible. A man with ALS is now using his iPad with nothing but his brain. No hands. No voice. No eye-tracking. Just thought. The man in the video is named Mark. He's part of Synchron's COMMAND clinical study and has an implant called the Stentrode. It sits inside his brain's blood vessels and picks up his motor intention. Those signals get sent wirelessly to an external decoder, which then tells the iPad what to do. It's all made possible by Apple's new Brain-Computer Interface Human Interface Device protocol, which lets iPadOS treat brain activity like an actual input method. Apple's built-in Switch Control feature makes the whole thing work on the software side. The iPad even sends back screen context to the BCI decoder to make everything run more smoothly and accurately. [...] Synchron was the first company to start clinical trials with a permanently implanted BCI. The big difference here is that it doesn't require open brain surgery. The device is implanted through the blood vessels, which makes it way more practical for real-world use.

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NASA's Lunar Trailblazer mission ended prematurely after losing contact with the satellite just one day post-launch, the agency announced today. Engadget reports: The NASA satellite was part of the IM-2 mission by Intuitive Machines, which took off from a SpaceX Falcon 9 rocket from Kennedy Space Center on February 26 at 7:16PM ET. The Lunar Trailblazer successfully separated from the rocket as planned about 48 minutes after launch. Operators in Pasadena, CA established communication with the satellite at 8:13PM ET, but two-way communication was lost the next day and the team was unable to recover the connection. From the limited data ground teams received before the satellite went dark, the craft's solar arrays were not correctly positioned toward the sun, which caused its batteries to drain. "While it was not the outcome we had hoped for, mission experiences like Lunar Trailblazer help us to learn and reduce the risk for future, low-cost small satellites to do innovative science as we prepare for a sustained human presence on the Moon," said Nicky Fox, associate administrator at NASA Headquarters' Science Mission Directorate. "Thank you to the Lunar Trailblazer team for their dedication in working on and learning from this mission through to the end."

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Michael has the "fun" task of converting old, mainframe-driven reports into something more modern. This means reading through reams of Intelligent Query code.

Like most of these projects, no one has a precise functional definition of what it's supposed to do. The goal is to replace the system with one that behaves exactly the same, but is more "modern". This means their test cases are "run the two systems in parallel and compare the outputs; if they match, the upgrade is good."

After converting one report, the results did not match. Michael dug in, tracing through the code. The name of the report contained the word "Annual". One of the key variables which drove original the report was named TODAYS-365 (yes, you can put dashes in variables in IQ). Michael verified that the upgraded report was pulling exactly one year's worth of data. Tracing through the original report, Michael found this:

# DIVIDE ISBLCS BY ISB-COST-UOM GIVING ISB-COST-EACH. MULTIPLY ISB-STK-QOH TIMES ISB-COST-EACH GIVING ISB-ON-HAND-COST. # SUBTRACT TODAYS-DATE MINUS 426 GIVING TODAYS-365. # SEARCH FOR ITMMAN = 'USA' AND ITMNMB <> '112-*'

This snippet comes from a report which contains many hundreds of lines of code. So it's very easy to understand how someone could miss the important part of the code. Specifically, it's this line: SUBTRACT TODAYS-DATE MINUS 426 GIVING TODAYS-365..

Subtract 426 from today's date, and store the result in a variable called TODAYS-365. This report isn't for the past year, but for the past year and about two months.

It's impossible to know exactly why, but at a guess, originally the report needed to grab a year. Then, at some point, the requirement changed, probably based on some nonsense around fiscal years or something similar. The least invasive way to make that change was to just change the calculation, leaving the variable name (and the report name) incorrect and misleading. And there it say, working perfectly fine, until poor Michael came along, trying to understand the code.

The fix was easy, but the repeated pattern of oddly name, unclear variables was not. Remember, the hard part about working on old mainframes isn't learning COBOL or IQ or JCL or whatever antique languages they use; I'd argue those languages are in many cases easier to learn (if harder to use) than modern languages. The hard part is the generations of legacy kruft that's accumulated in them. It's grandma's attic, and granny was a pack rat.

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