THE EDITION ARCHIVE

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10 pages · 23 stories

PAGE 1 OF 10

Google Offers Schools an AI Off Switch With Search Attached

Districts face a bundled choice, while Nvidia presses some cloud customers to reduce their China business.

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Google's Classroom Off Switch Takes Search Out With the Chatbot

Google plans to turn off AI features in its school products by default starting in 2027, leaving schools to decide what to enable. But schools that restrict Google's AI altogether will also lose Google Search, where AI features are now integrated. For districts trying to set boundaries around generated answers, the menu comes with an unusually large side dish. The change puts school officials in charge of deciding which tools students can use, but it also ties an established search service to the newer AI features some educators may want to limit. Google is offering a choice, just not the one a district might have expected: retain Search with its AI, or turn off both. That makes a familiar classroom question rather more complicated. A teacher who wants students to find sources without leaning on generated responses must work within a product where those functions are increasingly bundled. The district can still choose its policy, but the design of the menu has already made a decision of its own. Google has spent years making the search box a basic school supply. Now the box arrives with an assistant inside, and removing the assistant means returning the box too. The company calls it control. A librarian might call it a very specific checkout policy.

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Nvidia's Cloud Customers Get a Gentle Nudge Away From China

Nvidia has told some cloud customers to take on less business from Chinese companies, adding a commercial request to an already sensitive debate over access to AI computing. The instruction concerns customers who supply computing services, rather than a public rule issued to every cloud provider. The request matters because computing power can be accessed through a cloud service as well as through hardware bought outright. That makes the relationship between chip suppliers, cloud providers and their customers an important part of the competition over advanced AI infrastructure. A supplier's preference can travel a long way down that chain, even when the end customer never buys a chip directly. Nvidia's position also shows how business relationships can carry geopolitical pressure. A cloud provider must consider its own customer base alongside the wishes of a supplier whose products are in high demand. The resulting conversation is less like a simple equipment order and more like a tenancy agreement with an extra question about the guests. For the companies seeking computing capacity, the distinction between owning a machine and renting time on one is increasingly consequential. For the cloud provider, a request from a major supplier is not just another item in the inbox. In the AI economy, even a polite suggestion can arrive with considerable processing power.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 2 OF 10

AI Volunteers to Choose Both the Answer and Tonight's Entertainment

OpenAI reports a search-volume milestone, and Netflix experiments with mood-based discovery.

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OpenAI Measures Its Search Ambitions Against Google's Very Large Ruler

OpenAI says search queries run through ChatGPT now equal 20 percent of the volume run through Google. Adam Fry, the company's consumer product lead for ChatGPT, announced the comparison at a press event, presenting a measure of how much activity the assistant is attracting as people look for information. The figure is OpenAI's comparison of query volumes, not a claim that ChatGPT has replaced Google as the dominant search service. It is nevertheless a notable benchmark for a company trying to make a conversational assistant part of the everyday habit of asking questions. The established search box is now also the measuring stick for a rival that answers in a different format. A conventional search page offers a list of places to explore. A chatbot can put a composed answer in front of the user immediately, changing the experience of deciding where to go next. Both approaches compete for the moment when someone has a question and wants a useful response. For OpenAI, the headline number makes a pitch in a language investors and product teams understand: share of a very large activity. For Google, the comparison confirms that its name remains useful even in a competitor's presentation. The ruler may belong to the incumbent, but the challenger is delighted to be tall enough to stand beside it.

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Netflix Asks for Your Mood Before the Family Can Disagree About a Movie

Netflix is rolling out an AI Discover tab with an experimental feature that recommends what to watch based on themes and a viewer's mood. The choices include something light, scare me, family movie night and quick watches, with clips from shows and movies helping users explore the options. The feature aims at a familiar problem for a streaming service with a large library: having many titles is not the same as helping someone pick one. Rather than presenting only rows of thumbnails, the experiment groups options around how a viewer feels, how much time is available and other preferences. That gives Netflix another way to guide people through its catalog, while giving subscribers a smaller decision before the larger one. Instead of immediately choosing a movie, a household can first negotiate whether the evening qualifies as light, scary or family friendly. This is progress, although the remote control may still require a peace treaty. The themed clips offer a preview rather than a promise that everyone on the couch will agree. An algorithm can arrange a neat collection under family movie night, but it cannot make every family member define the phrase the same way. Netflix has automated the shortlist. The committee meeting remains a human production.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 3 OF 10

AI Goes Looking for Aliens While Voters Look at Their Bills

A telescope gains automated help, and an exit poll puts AI and data centers below other election concerns.

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Telescope Hires AI to Search the Sky, Still Waits for an Alien to Respond

The SETI Institute and Breakthrough Listen are using AI agents at the Allen Telescope Array to control the telescope and analyze incoming radio signals. The team says tasks that previously took weeks can now be completed in hours, and that the system detected a pulsar in the Crab Nebula in real time for the first time. The project applies automation to a scientific job with a particularly large inbox. A telescope receives a stream of signals, and researchers must decide what to examine and how to direct their instruments. Agents that can help operate the array and analyze the data may let the team respond more quickly to what the equipment sees. The reported pulsar detection is a concrete result, though a pulsar is not a message from extraterrestrial intelligence. It demonstrates a way to process and recognize a known kind of cosmic signal while searching a sky that offers plenty of other noise. The arrangement is a reversal of the usual AI sales pitch. Instead of promising to answer every question, the software helps researchers listen more carefully for one of the largest questions of all. If another civilization eventually calls, the telescope may be ready to notice. Whether it can persuade the caller to sit through a product demonstration is another matter.

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AI Finishes Last in Voter Priorities but Still Makes the Ballot Conversation

AI and data centers ranked last among the campaign issues measured in NBC exit polling for the 2026 US midterms, with 56 percent of respondents calling them an important factor. Corruption was cited by 90 percent and the cost of living by 89 percent, according to the reported results. Last place does not mean voters ignored the technology. More than half of respondents still described AI and data centers as important, even as substantially larger shares named corruption and living costs. The result puts the industry's claims of sweeping change alongside the more immediate pressures voters report when they enter the polling place. The poll grouped AI with data centers, the physical infrastructure that supports intensive computing. That pairing makes the issue about more than the chatbot on a screen: it also encompasses the facilities needed to run such systems. Even so, the combined topic did not outrank the other issues in the reported list. Technology companies have become skilled at presenting the future as an urgent appointment. Voters, meanwhile, also have to deal with the present, including the price of ordinary necessities. The machine may be able to draft a campaign speech in seconds, but the grocery receipt has a remarkably concise message of its own.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 4 OF 10

A Checkbox Gets Creative Credit as Canva Rearranges the Staff

Nexus Mods requires AI disclosure for new uploads, while the design platform restructures its workforce.

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Nexus Mods Adds an AI Checkbox to the Volunteer Workshop

Nexus Mods is making AI disclosure mandatory for new mod uploads, requiring authors to declare whether AI was used in their work. The PC gaming repository announced the requirement as part of a wider statement about AI-generated content on the platform. Mods let players share changes to games, and their authors can use many different tools to make those additions. The new rule gives users a piece of information about the process behind a new upload, rather than leaving them to infer it from the finished work. It also adds one more task to the act of publishing a mod. For creators, the checkbox turns a question that might have stayed in the workshop into part of the public listing. For players, it supplies a label they can consider alongside the mod's description and other details. The site is asking authors to identify the use of a tool, not asking an algorithm to decide whether the result is fun. There is a pleasing mismatch in scale between the ambition of a sprawling game modification and the tiny box that now accompanies it. The mod may add a castle, change a character or alter a game world. Before any of that reaches players, its creator must first face the most durable feature of software publishing: a form.

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Canva Redesigns Its Workforce, and the Template Has Real People in It

Canva is cutting or relocating more than 1,200 jobs in a restructuring affecting 22 percent of its global workforce. Chief executive Melanie Perkins described the job cuts in an email to staff as the hardest moment in the company's thirteen-year history. The Australian-founded design platform built its business around making polished layouts accessible to people without specialist design skills. Its restructuring comes as software companies face competition from cheaper AI products while embracing the technology themselves. For workers affected by the changes, the consequences are more concrete than a shift in product strategy: roles are being cut or moved. The distinction between cuts and relocations matters because the announcement covers both. The total describes the scale of the restructuring, not a claim that all 1,200 positions have been eliminated. What is clear is that a substantial share of the global workforce is caught up in the redesign. Canva's familiar promise is that a difficult composition can become easier with the right tools. An organization chart is a less forgiving canvas. Moving boxes may make the new layout look clean on a screen, but each box represents a person who must live with the result. The drag-and-drop interface is much less charming when the object being dragged is a job.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 5 OF 10

AI Markets Demand a Forecast While AI Models Apply for Identification

A columnist declines to time a bubble, and Anthropic works on cryptographic proof of model identity.

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Bubble Timing Expert Explains Why He Is Not Already Rich

A market columnist fielding questions about when an AI bubble might burst says that, if he knew the answer, he would make a life-changing leveraged bet. The response is less a market forecast than a reminder that knowing the precise timing of a reversal would be exceptionally valuable. The question is attractive because AI has drawn huge investment and intense expectations. A good story about a future market can make people want a date for the moment when enthusiasm turns. But a confident date and a reliable date are not the same product, even if both fit neatly into a headline. The columnist's imagined trade makes the incentive plain. Someone who truly possessed a dependable timetable would have an obvious reason to use it, rather than simply supply it to colleagues looking for a prediction. That does not establish that a crash is coming or that current prices are justified. It establishes only that the calendar is a difficult thing to sell with certainty. There is no shortage of people eager to discuss whether AI valuations are excessive. The missing item is the little square on the calendar that says exactly when everyone should change their mind. Until that appears, the most honest forecast may be considerably less entertaining than the question.

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Anthropic Works on a Name Tag That Requires Cryptography

Anthropic is developing FlashProve, an open source system intended to verify which AI model produced a particular output. The proposed tool uses cryptographic proof for what researchers call provable inference, allowing a user to check whether an answer came from the model it claims to come from. The idea resembles a cryptographic signature on an email, where a recipient can check a claimed source. Here, the aim is to make it harder for an impostor model to pass its output off as that of another system. Anthropic described the work in a blog post; it remains a system the company is working on, rather than a guarantee already available for every AI response. The distinction matters when different models are sold or presented under different names. A user may care which system generated an answer, and a label on its own depends on trusting whoever attached it. A proof would offer a way to check that claim mathematically. Of course, confirming the name on the badge would not turn every answer into a correct one. It would establish who produced the response, not whether the response deserves a gold star. After years of assistants introducing themselves with great confidence, the industry is working on the less glamorous part of introductions: showing identification.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 6 OF 10

AI Power Gets an Old Engine and Wall Street Gets Its Nerves Back

Data center builders look for quicker electricity, while tech shares recover from a spending scare.

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Data Centers Discover the Future Can Run on Retired Jet Engines

Some data center builders are turning to discarded jet engines for power as they face years-long waits for grid access and new turbines. The engines offer a faster alternative, though the reported approach is less efficient and less environmentally friendly than conventional options. The attraction is timing. AI data centers need electricity, and a developer cannot simply assume that a new facility will receive all the power it wants as soon as the building is ready. When grid connections and new equipment take years, an older machine can look appealing because it is available sooner. That speed comes with tradeoffs. A less efficient source can require more fuel for the power it provides, while the environmental drawbacks sit awkwardly beside the industry's vision of a high-tech future. The decision is not that an old jet engine is the ideal power plant. It is that waiting for a preferred option can be costly when builders want to start sooner. The result is a striking pairing: a system marketed as the frontier of computing may rely on equipment discarded from another industry. The chatbot gets the futuristic introduction, while the retired engine does the less glamorous work behind the curtain. In the race to build tomorrow, the power supply has apparently been shopping secondhand.

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Tech Shares Recover Before Their AI Spending Worries Have Left the Room

US tech stocks recovered Tuesday afternoon after a selloff driven by investor concerns about AI spending. The midterm elections did not appear to have a huge immediate effect on Wall Street, although investors expected possible Democratic gains that could lead to more AI regulation. The rebound followed a period of anxiety about the enormous sums companies are committing to AI. Higher share prices in an afternoon can show that buyers returned, but they do not resolve the longer business question of how those investments will pay off. The same spending plans that worried the market remain a subject for assessment after the screen turns green. Election expectations added another possible consideration. Investors were predicting that Democrats could win at least a House majority and potentially gain Senate seats, raising the prospect of more rules for AI. Those were expectations about potential outcomes and policy, not enacted regulation. The market thus managed to hold two thoughts at once: spending might be alarming, and tech shares might still be worth buying. That is hardly unusual, but it is entertaining beside the industry's preference for smooth upward charts. The afternoon recovery gave the chart a happier ending for the day. It did not give the budget committee permission to stop counting.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 7 OF 10

AI Risk Inspires Both a Fundraising Plan and a Pioneer's Warning

Ballistic Ventures seeks new capital, while Geoffrey Hinton weighs the technology's potential against serious hazards.

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Ballistic Seeks $490 Million, Because Digital Risk Has a Fundraising Department

Cybersecurity venture firm Ballistic Ventures is seeking $490 million across two new funds, according to US regulatory filings. The San Francisco firm is targeting $360 million for its third flagship fund and $130 million for a separate vehicle, Ballistic Ventures Fund B. Neither fund had recorded sales at the time of filing. The proposed flagship matches the size of the firm's previous fund, raised in 2024. Ballistic, co-founded by former Kleiner Perkins partner Ted Schlein, focuses on cybersecurity, a field drawing attention as organizations expand their use of AI and consider associated security risks. The filing is a fundraising plan, not evidence that the full amount has been collected. That distinction is particularly important when a large target can look finished simply because it fits neatly into a headline. Investors still have to commit money, and the firm's eventual investments will have to find their own way in the market. The business proposition is familiar: as organizations worry about new digital risks, companies selling protection may find more customers. Venture investors would like to identify those companies early. The uncomfortable comedy is that an industry promising revolutionary convenience also creates a lively market for guarding the revolution. AI may speed up office work, but it has not made the security budget disappear.

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Hinton Says AI Might Not Have Been Worth Inventing, While Leaving Room for Its Promise

Nobel-winning computer scientist Geoffrey Hinton says it could turn out that humanity would have been better off without AI. He also warned that the technology could trigger a major incident this year or next, such as a temporary blackout of financial or power systems. Hinton's warning is a prediction about possible risks, not a report that such a shutdown has occurred. The researcher, whose work on artificial neural networks helped underpin modern AI, told the Guardian he is not a doomer and believes the technology also has potential. His assessment combines concern about serious hazards with recognition that the same technology can do useful things. That combination is awkward for an industry accustomed to introducing each advance as an uncomplicated improvement. A pioneer can see both the promise and the possibility that the overall bargain may prove unfavorable. The uncertainty is the point: the outcome cannot be settled by choosing either the most optimistic presentation or the bleakest forecast. Hinton's comments carry weight because of his role in the field, though his warning remains his assessment of what could happen. The godfather of AI is not demanding that the family portrait be burned. He is asking the family to notice the electrical system before it hangs another award on the wall.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 8 OF 10

Palantir Finds More Private Buyers as Huawei Makes Memory a Customer Errand

A US revenue milestone meets a supply-chain workaround shaped by export rules.

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Palantir's US Business Customers Take the Lead From Washington

Palantir's US commercial revenue surpassed its US government revenue for the first time, marking a shift in the balance of its American business. The milestone gives the software company's private-sector sales a larger line than its government sales in the reported comparison. Palantir has long been associated with government work, so the change offers a different view of where its US revenue is coming from. It does not mean government business has vanished, nor does the comparison cover every customer worldwide. It means that, for this measure, US commercial customers have moved ahead. The distinction is useful for assessing a company whose public identity can be dominated by one kind of client. A sales mix can change without erasing the work that made a company well known. Private customers now account for the larger of these two US revenue categories, putting their purchasing decisions in the foreground alongside public contracts. For a company often discussed in terms of Washington, the new leading character is a business customer with its own budget and priorities. That may be less cinematic than a government briefing, but it still ends in the same place: a spreadsheet. Palantir's milestone suggests the private sector has become an increasingly important audience for the presentation, even if nobody can agree on who gets the best chair.

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Huawei's AI Chip Customers Get a Do-It-Yourself Memory Assignment

Huawei is telling customers to source high-performance memory for its AI chips themselves, according to reporting on the company's supply arrangements. The Decoder reports that the practice pushes buyers toward the black market as US export rules constrain access to advanced components. The report says smugglers have bundled high-bandwidth memory with low-end processors, shipped the packages through Hong Kong and separated the chips on site. It also says the price of smuggled HBM3E memory has risen to about $4,000 per unit in a year. Those details illustrate how demand for a scarce component can create complicated routes around supply restrictions. The distinction between the company's request and the reported smuggling route matters. Huawei is described as telling customers to find their own memory; the reporting separately describes how smugglers exploit a loophole. Both developments sit within a market where advanced AI hardware depends on more than the processor alone. For buyers, a chip purchase becomes a procurement problem that extends beyond the original supplier. For policymakers, the route shows how components and packaging can complicate the enforcement of trade controls. And for the ordinary customer-service imagination, the arrangement offers a remarkable slogan: your advanced system is almost ready, provided you can locate a critical part yourself.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 9 OF 10

Siri Gets More Chores While AI Research Gets an Expiration Date

Apple expands app access, OpenAI reports a hardware design, and Stanford tests the shelf life of model claims.

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Siri Can Enter More Apps, So the Assistant's To-Do List Just Got Longer

Apple is letting Siri AI perform actions across third-party apps as part of its iOS 27.3 update. Developers can integrate the new features into their apps, allowing the assistant to use personal context, natural-language prompts and awareness of what is on screen. The change gives developers a way to make app functions available through the assistant rather than relying entirely on users navigating each interface themselves. It also makes the quality of those integrations important: an assistant can only be as useful as the actions it is able to carry out. Apple's pitch is a more direct route from a request to a task. For users, that means the voice assistant is being invited beyond the familiar timer and into a larger collection of chores. Siri may finally get the promotion it wanted, complete with a much longer job description.

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OpenAI's Weeklong Device Design Still Had to Meet the Factory

OpenAI says its hardware team used GPT-6 Astra to design a device for the Codex coding agent in under a week. The work covered the enclosure, circuit board and firmware, according to the report. Several revision rounds were needed before production because the model did not always account for manufacturing tolerances. That qualification puts the speed claim in context: the model could produce a broad design quickly, but the design still needed adjustment for the physical constraints of making it. The episode offers an appealing picture for teams trying to shorten early engineering work. It also gives the factory a familiar role in the AI age: reminding the design that physical parts must actually fit together. The assistant may have accelerated the draft, but the ruler still gets a vote.

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Stanford Finds AI Capability Claims Age Faster Than Their Conference Slides

Stanford researchers tested 50 widely cited claims about large language models against 20 current models and found that 44 percent had expired while another 34 percent had weakened significantly. The study put the average lifespan of the claims at 15.7 months. Claims about what models cannot do expired fastest, according to the research. That makes a static description of a fast-changing set of systems a risky thing to keep repeating indefinitely. A limitation observed in one generation may not hold in the next. The study does not say every finding becomes useless overnight. It does suggest that research claims need to be checked against the models available when they are applied. In a field fond of announcing permanent turning points, even the footnotes may need a calendar reminder.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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PAGE 10 OF 10

AI Money Grows Up Fast, While the Rest of Tech Fills Out Forms

Fal raises a major round, research facilities seek connections, Binance details a breach, and Google introduces a developer API.

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Fal Turns Five and Brings Home a $16 Billion Valuation

AI inference startup Fal has raised $1.3 billion in a round led by Bessemer, doubling its valuation to $16 billion. The five-year-old company provides services for running AI models as demand for inference grows. The financing highlights investor interest in the work required after a model has been built: producing responses for customers. A valuation is an assessment attached to a funding round, not cash the company earned. Still, it is an impressive birthday present for a business young enough to need a very small cake and a very large spreadsheet.

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Shared Labs Schedule a Meeting to Make Sharing Work Better

MIT.nano and the Northeast Microelectronics Coalition gathered facility leaders and technology professionals from around the country to discuss better connections among shared-access research facilities. Such facilities give researchers access to equipment that individual teams may not have on their own. Connecting them more effectively is a practical coordination task, even if it sounds like a meeting to explain why a shared lab should share. Expensive instruments can do remarkable work, but they still depend on people knowing where to find them and how to work together.

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Binance's Hiring Process Became Part of a $6.3 Billion Breach

Binance says hackers used bogus job interviews, malicious software and an internal AI tool in a $6.3 billion cryptocurrency heist. The exchange said the operation began with an inadvertent malware download in June, led to a recruitment scam in September and culminated in a raid on hot wallets last week. The company's account puts a familiar workplace ritual inside a much larger security failure. An interview normally helps an employer evaluate a candidate. Here, according to Binance, the hiring process became part of the route into the exchange.

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Google Gives Developers a Smaller Toolkit for AI's Pocket Office

Google has introduced the LiteRT Tensor API, a lightweight C++ interface for building, customizing and optimizing machine-learning models for on-device execution. Google says it combines native model-authoring flexibility with cross-platform portability. The tool is aimed at developers who want to prepare models for devices rather than treat every task as a distant cloud operation. It is a programming interface, not a promise that a phone will independently design its own AI. The pocket computer has enough responsibility already without being promoted to head of research.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.

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