New York has become the first state in the nation to enact a law requiring retailers to disclose when AI and personal data are being used to set individualized prices [non-paywalled source] -- a measure that lawyers say will make algorithmic pricing "the next big battleground in A.I. regulation." The law, enacted through the state budget, requires online retailers using personalized pricing to post a specific notice: "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA." The National Retail Federation sued to block enforcement on First Amendment grounds, arguing the required disclosure was "misleading and ominous," but federal judge Jed S. Rakoff allowed the law to proceed last month. Uber has started displaying the notice to New York users. Spokesman Ryan Thornton called the law "poorly drafted and ambiguous" but maintained the company only considers geographic factors and demand in setting prices. At least 10 states have bills pending that would require similar disclosures or ban personalized pricing outright. California and federal lawmakers are considering complete bans.

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Singapore's Ministry of Education has announced that secondary school students will be banned from using smartphones and smartwatches throughout the entire school day starting January 2026, extending current restrictions beyond regular lesson time to cover recess, co-curricular activities, and supplementary lessons. Under the new guidelines, students must store their phones in designated areas like lockers or keep them in their school bags. Smartwatches also fall under the ban because they enable messaging and social media access, which the ministry says can lead to distractions and reduced peer interaction. Schools may allow exceptions where necessary. Some secondary schools adopted these tighter rules after they were announced for primary schools in January 2025, and the ministry reports improved student well-being and more physical interaction during breaks at those schools. The ministry is also moving the default sleep time for school-issued personal learning devices from 11pm to 10.30pm starting January.

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Microsoft has acknowledged that a recent Windows preview update, KB5064081, contains a bug that renders the password icon invisible on the lock screen, leaving users to click on what appears to be empty space to enter their credentials. The issue affects Windows Insider channel users who installed the non-security preview update. The company's suggested workaround is straightforward if somewhat absurd: click where the button should be, and the password field will appear. Microsoft said it is working to resolve the issue.

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The Santa Monica City Council has unanimously voted to order Waymo to halt overnight charging operations at two outdoor depots near Broadway and 14th Street after months of resident complaints about constant beeping from reverse sensors, noise from charging equipment, traffic congestion and flashing lights between 11 p.m. and 6 a.m. As many as 56 autonomous vehicles charge at the two sites. It's unclear whether Waymo or its Virginia-based charging operator Volterra intends to comply. The Los Angeles Times reported that neither company planned to, claiming city officials misunderstood their existing permit rights. Waymo told the newspaper it had adjusted operations in response to neighbor feedback and would continue seeking community input, though the company did not address the order directly. Local law enforcement has gotten involved after at least one person attempted to disrupt operations at the facilities on several occasions. The dispute points to a broader challenge facing the autonomous vehicle industry: charging depots need to be close to service areas to minimize deadhead miles (distance traveled without revenue-generating passengers), but situating them in residential neighborhoods creates exactly these kinds of conflicts.

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An anonymous reader writes: Netflix has removed the ability to cast shows and movies from phones to TVs, unless subscribers are using older casting devices. An updated help page on Netflix's website, first reported by Android Authority, says that the streaming service "no longer supports casting shows from a mobile device to most TVs and TV-streaming devices," and instead directs users to navigate Netflix using the remote that came with their TV hardware.

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The skills that future graduates will most need in an age of automation -- creative thinking, critical analysis, the capacity to learn new things -- are precisely those that a growing body of research suggests may be eroded by inserting AI into the educational process, yet universities across the United States are now racing to embed the technology into every dimension of their curricula. Ohio State University announced this summer that it would integrate AI education into every undergraduate program, and the University of Florida and the University of Michigan are rolling out similar initiatives. An MIT study offers reason for caution: researchers divided subjects into three groups and had them write essays over several months using ChatGPT, Google Search, or no technology at all. The ChatGPT group produced vague, poorly reasoned work, showed the lowest levels of brain activity on EEG, and increasingly relied on cutting and pasting from other sources. The authors concluded that LLM users "consistently underperformed at neural, linguistic, and behavioral levels" over the four-month period. Justin Reich, director of MIT's Teaching Systems Lab, recently wrote in The Chronicle of Higher Education that rushed educational efforts to incorporate new technology have "failed regularly, and sometimes catastrophically."

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Major consulting firms including McKinsey, Boston Consulting Group and Bain have frozen starting salaries for the third consecutive year as AI reshapes how these companies think about their traditional reliance on large cohorts of junior analysts. Job offers for 2026 show undergraduate packages holding steady at $135,000-$140,000 and MBA packages at $270,000-$285,000, according to Management Consulted. The Big Four -- Deloitte, EY, KPMG, and PwC -- haven't raised starting pay since 2022. The industry's classic "pyramid" structure, built on thousands of entry-level employees who crunch data and assemble PowerPoint decks, faces pressure as AI automates much of that work. Two senior executives at Big Four firms estimated that UK graduate recruitment would fall by about half in the coming year. PwC has already cut graduate hiring in 2025 and said in October it would miss a target to add 100,000 employees globally by 2026 -- a goal set five years ago before generative AI's rollout.

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The British government said it opposes attempts to cool the planet by spraying millions of tons of dust into the atmosphere -- but did not close the door to a debate on regulating the technology. From a report: The comments in parliament Thursday came after a POLITICO investigation revealed an Israeli-U.S. company Stardust Solutions aimed to be capable of deploying solar radiation modification, as the technology is called, inside this decade. "We're not in favor of solar radiation modification given the uncertainty around the potential risks it poses to the climate and environment," Leader of the House of Commons Alan Campbell said on behalf of the government.

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An anonymous reader shares a report: India's telecoms ministry has privately asked all smartphone makers to preload all new devices with a state-owned cyber security app, a government order showed, a move set to spark a tussle with Apple, which typically dislikes such directives. [...] The November 28 order, seen by Reuters, gives major smartphone companies 90 days to ensure that the government's Sanchar Saathi app is pre-installed on new mobile phones, with a provision that users cannot disable it. [...] In the order, the government said the app was essential to combat "serious endangerment" of telecom cyber security from duplicate or spoofed IMEI numbers, which enable scams and network misuse.

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Airbus said Monday that the vast majority of around 6,000 A320-family jets affected by an emergency software recall have now been modified, leaving fewer than 100 aircraft still requiring work after a frantic weekend of repairs prompted by the discovery of a vulnerability to solar flares. The unprecedented recall -- described as the broadest emergency action in the company's history -- came after a mid-air incident on a JetBlue A320 revealed a possible link between a drop in altitude and a space-related computer bug. The fix involved reverting to an earlier version of software that controls nose angle, uploaded via cable from a portable device called a data loader. Some older A320 jets will need entirely new computers rather than a simple software reset, raising questions about how long those aircraft will remain grounded amid global chip shortages. Reuters separately reported on Monday that Airbus had discovered an industrial quality issue affecting metal panels of a "limited" number of A320-family aircraft. The company told the publication that it had "identified" and "contained" the source of the issue and that "all newly produced panels conform to all requirements."

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China's central bank has flagged stablecoins as a specific concern in its latest push against virtual currencies, warning that the tokens fail to meet requirements for customer identification and anti-money-laundering controls and risk being used for fraud, money laundering, and unauthorized cross-border fund transfers. The People's Bank of China released a statement Saturday following a Friday meeting on virtual currency regulation, saying crypto speculation has recently increased due to various factors and now presents new challenges for risk control. Virtual currencies do not hold the same legal status as fiat currency and cannot be used as legal tender, the bank said, adding that all virtual currency-related business activities are "illegal financial activities." China banned cryptocurrency trading in 2021. The bank said it will intensify efforts to combat illegal financial activities to maintain economic and financial stability. In October, PBOC Governor Pan Gongsheng said the central bank would closely track and evaluate the development of overseas stablecoins.

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Pat Gelsinger, the former Intel CEO who was pushed out in late 2024 during a five-year turnaround effort, told the Financial Times that the "decay" he found when he returned to the company in 2021 was "deeper and harder than I'd realized." In the five years before his return, "not a single product was delivered on schedule," he said. "Basic disciplines" had been lost. "It's like, wow, we don't know how to engineer anymore!" Gelsinger was also unsparing about the Biden administration's implementation of the 2022 Chips Act, legislation he spent more time lobbying for than any other CEO. "Two and a half years later [and] no money is dispensed? I thought it was hideous!" There's what Gelsinger carefully calls "a touch of irony" in how things played out. Intel's board forced him out four years into a five-year plan, then picked successor Lip-Bu Tan -- who Gelsinger says is following the same broad strategy. Tan has kept Intel in the manufacturing game and delivered the 18A process node within the five years Gelsinger originally promised. Asked what went wrong, Gelsinger conceded he was "very focused on managing 'down'" and should have managed "up" more. He also would have pushed harder for more semiconductor expertise on the board, he said.

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Two former U.S. congressmen announced this week that they're launching two tax-exempt fundraising groups "to back candidates who support AI safeguards," reports The Hill, "as a counterweight to industry-backed groups." Former Representatives Chris Stewart (Republican-Utah) and Brad Carson (Democrat-Oklahoma) plan to create separate Republican and Democratic super PACs and raise $50 million to elect candidates "committed to defending the public interest against those who aim to buy their way out of sensible AI regulation," according to a press release... The pair is also launching a nonprofit called Public First to advocate for AI policy. Carson underscored that polling "shows significant public concern about AI and overwhelming voter support for guardrails that protect people from harm and mitigate major risks." Their efforts are meant to counter "anti-safeguard super PACs" that they argue are attempting to "kill commonsense guardrails around AI," the press release noted... The super PAC is reportedly targeting a Democratic congressional candidate, New York state Assemblymember Alex Bores, who co-sponsored AI legislation in the Albany statehouse. "This isn't a partisan issue — it's about whether we'll have meaningful oversight of the most powerful technology ever created," Chris Stewart says in their press release. "We've seen what happens when government fails to act on other emerging technologies. With AI, the stakes are enormous, and we can't afford to make the same missteps."

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Their announcement calls it "more than a multicloud solution," saying it's "a step toward a more open cloud environment. The API specifications developed for this product are open for other providers and partners to adopt, as we aim to simplify global connectivity for everyone." Amazon and Google are introducing "a jointly developed multicloud networking service," reports Reuters. "The initiative will enable customers to establish private, high-speed links between the two companies' computing platforms in minutes instead of weeks." The new service is being unveiled a little over a month after an Amazon Web Services outage on October 20 disrupted thousands of websites worldwide, knocking offline some of the internet's most popular apps, including Snapchat and Reddit. That outage will cost U.S. companies between $500 million and $650 million in losses, according to analytics firm Parametrix. Google and Amazon are promising "high resiliency" through "quad-redundancy across physically redundant interconnect facilities and routers," with both Amazon and Google continuously watching for issues. (And they're using MACsec encryption between the Google Cloud and AWS edge routers, according to Sunday's announcement: As organizations increasingly adopt multicloud architectures, the need for interoperability between cloud service providers has never been greater. Historically, however, connecting these environments has been a challenge, forcing customers to take a complex "do-it-yourself" approach to managing global multi-layered networks at scale.... Previously, to connect cloud service providers, customers had to manually set up complex networking components including physical connections and equipment; this approach required lengthy lead times and coordinating with multiple internal and external teams. This could take weeks or even months. AWS had a vision for developing this capability as a unified specification that could be adopted by any cloud service provider, and collaborated with Google Cloud to bring it to market. Now, this new solution reimagines multicloud connectivity by moving away from physical infrastructure management toward a managed, cloud-native experience. Reuters points out that Salesforce "is among the early users of the new approach, Google Cloud said in a statement."

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Remy's Law of Requirements Gathering states "No matter what the requirements document says, what your users really wanted was Excel." This has a corrolary: "Any sufficiently advanced Excel file is indistingushable from software."

Given enough time, any Excel file whipped up by any user can transition from "useful" to "mission critical software" before anyone notices. That's why Nemecsek was tasked with taking a pile of Excel spreadsheets and converting them into "real" software, which could be maintained and supported by software engineers.

Nemecsek writes:

This is just one of the formulas they asked me to work on, and not the longest one.

Nemecsek says this is a "formula", but I suspect it's a VBA macro. In reality, it doesn't matter.

InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0). InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart).Losses = calcLossesInPart(InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).RatedFrequency, InitechNeoDTMachineDevice. InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0). InitechNeoDTActivePartPart(iPart).RadialPositionToMainDuct, InitechNeoDTMachineDevice. InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0). InitechNeoDTActivePartPart(iPart).InitechNeoDTActivePartPartSectionContainer(0). InitechNeoDTActivePartPartSection(0).InitechNeoDTActivePartPartConductorComposition(0).IsTransposed, InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0). InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).ParallelRadialCount, InitechNeoDTMachineDevice. InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0). InitechNeoDTActivePartPart(iPart).InitechNeoDTActivePartPartSectionContainer(0). InitechNeoDTActivePartPartSection(0).InitechNeoDTActivePartPartConductorComposition(0). ParallelAxialCount, InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).InitechNeoDTActivePartPartConductor(0).Type, InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0). InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).InitechNeoDTActivePartPartConductor(0). DimensionRadialElectric, InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).InitechNeoDTActivePartPartConductor(0). DimensionAxialElectric + InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).InitechNeoDTActivePartPartConductor(0).InsulThickness, getElectricConductivityAtTemperatureT1(InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).InitechNeoDTActivePartPartConductor(0). InitechNeoDTActivePartPartConductorRawMaterial(0).ElectricConductivityT0, InitechNeoDTMachineDevice. InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0). InitechNeoDTActivePartPart(iPart).InitechNeoDTActivePartPartSectionContainer(0). InitechNeoDTActivePartPartSection(0).InitechNeoDTActivePartPartConductorComposition(0). InitechNeoDTActivePartPartConductor(0).InitechNeoDTActivePartPartConductorRawMaterial(0).MaterialFactor, InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0).InitechNeoDTActivePart(0). InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartSectionContainer(0).InitechNeoDTActivePartPartSection(0). InitechNeoDTActivePartPartConductorComposition(0).InitechNeoDTActivePartPartConductor(0). InitechNeoDTActivePartPartConductorRawMaterial(0).ReferenceTemperatureT0, InitechNeoDTMachineDevice. ReferenceTemperature), LayerNumberRatedVoltage, InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).InitechNeoDTActivePartPartContainer(0).InitechNeoDTActivePartPart(iPart). InitechNeoDTActivePartPartLayerContainer(0),InitechNeoDTMachineDevice.InitechNeoDTActivePartContainer(0). InitechNeoDTActivePart(0).RFactor)

Line breaks added to try and keep horizontal scrolling sane. This arguably hurts readability, in the same way that beating a dead horse arguably hurts the horse.

This may not be the longest one, but it's certainly painful. I do not know exactly what this is doing, and frankly, I do not want to.

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After a successful November 27th launch to the International Space Station, Russia discovered an accident had occurred on their launch site's mobile maintenance cabin — when a drone spotted it lying upside down in a flame trench. "The main issue with the structure collapse is that it puts Site 31/6 — the only Russian launch site capable of launching crew and cargo to the International Space Station (ISS) — out of service until the structure is fixed," reports the space-news site NASA Spaceflight There are other Soyuz 2 rocket launch pads, but they are either located at an unsuitable latitude, like Plesetsk, or not certified for crewed flights, like Vostochny, or decommissioned and transferred to a museum, like Gagarin's Start at Baikonur. As a result, Russia is temporarily unable to launch Soyuz crewed spacecraft and Progress cargo ships to the ISS, whose nearest launch (Progress MS-33) was scheduled for December 21.... When the rocket launched, a pressure difference was created between the space under the rocket, where gases from running engines are discharged, and the nook where the [144-ton] maintenance cabin was located. The resulting pressure difference pulled the service cabin out of the nook and threw it into the flame trench, where it fell upside down from a height of 20 m. Photos of the accident showed significant damage to the maintenance cabin, which, according to experts, is too extensive to allow for repairs. The only way to resume launches from Site 31/6 is to install a spare maintenance cabin or construct a new one. Despite the fact that the fallen structure was manufactured in the 1960s, two similar service cabins were manufactured recently at the Tyazhmash heavy-engineering plant in Syzran for other Soyuz launch complexes at the Guiana Space Center and Vostochny Cosmodrome. The production of each cabin took around two years to complete, however, it was not for an emergency situation. "Various experts gave different possible estimates of the recovery time of the Site 31 launch complex: from several months to three years."

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From the blog 9to5Linux: Linux kernel 6.18 is now available for download, as announced today by Linus Torvalds himself, featuring enhanced hardware support through new and updated drivers, improvements to file systems and networking, and more. Highlights of Linux 6.18 include the removal of the Bcachefs file system, support for the Rust Binder driver, a new dm-pcache device-mapper target to enable persistent memory as a cache for slower block devices, and a new microcode= command-line option to control the microcode loader's behavior on x86 platforms. Linux kernel 6.18 also extends the support for file handles to kernel namespaces, implements initial 'block size > page size' support for the Btrfs file system, adds PTW feature detection on new hardware for LoongArch KVM, and adds support for running the kernel as a guest on FreeBSD's Bhyve hypervisor.

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Some AI experts were reportedly shocked ChatGPT wasn't fully tested for sycophancy by last spring. "OpenAI did not see the scale at which disturbing conversations were happening," writes the New York Times — sharing what they learned after interviewing more than 40 current and former OpenAI employees, including safety engineers, executives, and researchers. The team responsible for ChatGPT's tone had raised concerns about last spring's model (which the Times describes as "too eager to keep the conversation going and to validate the user with over-the-top language.") But they were overruled when A/B testing showed users kept coming back: Now, a company built around the concept of safe, beneficial AI faces five wrongful death lawsuits... OpenAI is now seeking the optimal setting that will attract more users without sending them spiraling. Throughout this spring and summer, ChatGPT acted as a yes-man echo chamber for some people. They came back daily, for many hours a day, with devastating consequences.... The Times has uncovered nearly 50 cases of people having mental health crises during conversations with ChatGPT. Nine were hospitalised; three died... One conclusion that OpenAI came to, as Altman put it on X, was that "for a very small percentage of users in mentally fragile states there can be serious problems." But mental health professionals interviewed by the Times say OpenAI may be understating the risk. Some of the people most vulnerable to the chatbot's unceasing validation, they say, were those prone to delusional thinking, which studies have suggested could include 5% to 15% of the population... In August, OpenAI released a new default model, called GPT-5, that was less validating and pushed back against delusional thinking. Another update in October, the company said, helped the model better identify users in distress and de-escalate the conversations. Experts agree that the new model, GPT-5, is safer.... Teams from across OpenAI worked on other new safety features: The chatbot now encourages users to take breaks during a long session. The company is also now searching for discussions of suicide and self-harm, and parents can get alerts if their children indicate plans to harm themselves. The company says age verification is coming in December, with plans to provide a more restrictive model to teenagers. After the release of GPT-5 in August, [OpenAI safety systems chief Johannes] Heidecke's team analysed a statistical sample of conversations and found that 0.07% of users, which would be equivalent to 560,000 people, showed possible signs of psychosis or mania, and 0.15% showed "potentially heightened levels of emotional attachment to ChatGPT," according to a company blog post. But some users were unhappy with this new, safer model. They said it was colder, and they felt as if they had lost a friend. By mid-October, Altman was ready to accommodate them. In a social media post, he said that the company had been able to "mitigate the serious mental health issues." That meant ChatGPT could be a friend again. Customers can now choose its personality, including "candid," "quirky," or "friendly." Adult users will soon be able to have erotic conversations, lifting the Replika-era ban on adult content. (How erotica might affect users' well-being, the company said, is a question that will be posed to a newly formed council of outside experts on mental health and human-computer interaction.) OpenAI is letting users take control of the dial and hopes that will keep them coming back. That metric still matters, maybe more than ever. In October, [30-year-old "Head of ChatGPT" Nick] Turley, who runs ChatGPT, made an urgent announcement to all employees. He declared a "Code Orange." OpenAI was facing "the greatest competitive pressure we've ever seen," he wrote, according to four employees with access to OpenAI's Slack. The new, safer version of the chatbot wasn't connecting with users, he said. The message linked to a memo with goals. One of them was to increase daily active users by 5% by the end of the year.

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It's "a complex mix of internet access and physical execution," says the chief informance security officer at Cequence Security. Long-time Slashdot reader schwit1 summarizes this article from The Wall Street Journal: By breaking into carriers' online systems, cyber-powered criminals are making off with truckloads of electronics, beverages and other goods In the most recent tactics identified by cybersecurity firm Proofpoint, hackers posed as freight middlemen, posting fake loads to the boards. They slipped links with malicious software into email exchanges with bidders such as trucking companies. By clicking on the links, trucking companies unwittingly downloaded remote-access software that lets the hackers take control of their online systems. Once inside, the hackers used the truckers' accounts to bid on real shipments, such as electronics and energy drinks, said Selena Larson, a threat researcher at Proofpoint. "They know the business," she said. "It's a very convincing full-scale identity takeover." "The goods are likely sold to retailers or to consumers in online marketplaces," the article explains. (Though according to Proofpoint "In some cases, products are shipped overseas and sold in local markets, where proceeds are used to fund paramilitaries and global terrorists.") "The average value of cargo thefts is increasing as organized crime groups become more discerning, preferring high-value targets such as enterprise servers and cryptocurrency mining hardware, according to risk-assessment firm Verisk CargoNet."

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An anonymous reader shared this report from The Conversation: To make interplanetary travel faster, safer, and more efficient, scientists need breakthroughs in propulsion technology. Artificial intelligence is one type of technology that has begun to provide some of these necessary breakthroughs. We're a team of engineers and graduate students who are studying how AI in general, and a subset of AI called machine learning in particular, can transform spacecraft propulsion. From optimizing nuclear thermal engines to managing complex plasma confinement in fusion systems, AI is reshaping propulsion design and operations. It is quickly becoming an indispensable partner in humankind's journey to the stars... Early nuclear thermal propulsion designs from the 1960s, such as those in NASA's NERVA program, used solid uranium fuel molded into prism-shaped blocks. Since then, engineers have explored alternative configurations — from beds of ceramic pebbles to grooved rings with intricate channels... [T]he more efficiently a reactor can transfer heat from the fuel to the hydrogen, the more thrust it generates. This area is where reinforcement learning has proved to be essential. Optimizing the geometry and heat flow between fuel and propellant is a complex problem, involving countless variables — from the material properties to the amount of hydrogen that flows across the reactor at any given moment. Reinforcement learning can analyze these design variations and identify configurations that maximize heat transfer.

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