After weeks of backlash—and a failed attempt to quell it—Meta has indefinitely delayed plans to update its commercial terms and require Meta Business account users to allow extensive AI training on external websites linked on Facebook.

"We're pausing the ‌changes ⁠as we continue to engage with stakeholders and ​take ​our ⁠time to get this right. ​In the ​meantime, ⁠our existing terms remain in ⁠effect," a Meta spokesperson told Reuters.

Soon after Meta notified business account holders of the upcoming changes, legal experts warned Nieman Lab that the vague language could allow the company to ignore scraping preferences specified in robots.txt files and exhaustively crawl vast amounts of off-Facebook content for AI training. Since virtually every news publisher has a Facebook page, Nieman Lab sounded the alarm that Meta could potentially avoid millions in licensing fees if the TOS update happened as planned.

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Yesterday, when reporting on emerging efforts to pipe the console version of GTA VI through a PC's DLSS-powered Nvidia GPU, we mentioned in passing that PC players could instead just wait for the AI-assisted decompilation port that will no doubt be coming in short order. Now, a former Rockstar tech director says he thinks that exact threat could cause the developer to work faster on the official PC version of its soon-to-release crime/lifestyle simulator.

Obbe Vermeij hasn't worked at Rockstar since 2009, but in a new interview with Rock Paper Shotgun, he recalled how artists for the PC version of the original top-down Grand Theft Auto were incensed when the console version squashed the game's 256-color textures down to 16 colors for the PS1 release.

"So it always has been that sort of awkward relationship between PC and the console," Vermeij said. "So in those days, it was like PC first and then console second, even though that didn't really make much sense for the sales, because the PlayStation versions sold way better."

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Google faced the ire of educators and parents earlier this week when it announced a new AI policy for K–12 schools. Google said that it developed its new approach to give schools more control, but early reporting also suggested Google would block search access for schools that didn't want to use AI. Google didn't see the backlash coming, but now that it's here, the search giant is clarifying what exactly its new policy means and what's changing.

The gist of the new policy, according to Google's blog post, is that schools using Google apps will have to opt into its AI products going forward. Since the company considers search part of its AI portfolio (Gemini, Gemini Notebook, Gemini in Classroom, and Search), schools have to specifically turn that on for logged-in student accounts.

When Google revealed its new policy, the company's VP for education spoke exclusively to The New York Times, which interpreted the situation as Google will "turn off search" if schools reject AI. This has a nefarious vibe, but it's probably not the most accurate way to describe how Google's educational AI system will operate. Google's approach may not be entirely altruistic, but it technically offers schools more choice and control than they have now. Instead of Google turning off search, it will let schools make that decision based on their internal AI policies.

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ChatGPT allegedly helped a North Carolina woman, Cheryl Gates, craft a “personalized plan” to poison her husband, James, after fueling her delusions that he planned to divorce her and leave her with nothing.

A grand jury indicted Cheryl Gates on charges of attempted first-degree murder and food contamination in October. About a week prior, the accusations that ChatGPT was a co-conspirator in the attempted murder came in a lawsuit filed in San Francisco County Superior Court that was made public this week. In it, James Gates alleged that OpenAI and Sam Altman failed to employ technical safeguards to shut down Cheryl’s chats even after her queries became “obviously suspicious” and sought advice on how to execute and conceal a homicide.

At first, Cheryl told ChatGPT that she was researching poisoning out of fear that her husband might possibly try to kill her—framing her queries as “self-protection.” Coming to the rescue, ChatGPT did not terminate the conversation. Instead, it helped her “with specific instructions for the preparation, dosage, and administration of Oleander, including whether anti-nausea medicine would accelerate or inhibit death, whether it would show on an autopsy report, and whether it could be injected into a vein or muscle instead of being ingested in tea and have the same lethal effect,” the lawsuit said.

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Humanoid robots remain unproven at scale and have not yet achieved widespread commercialization, compared with industrial robots that have decades of proven track records in warehouses and factories. That frank acknowledgment is among the risks outlined in a securities filing by Agility Robotics—the first dedicated developer of humanoid robots to become a publicly traded company in the United States.

The robotics company, headquartered in Salem, Oregon, previously became the first to achieve full-time commercial deployment of humanoid robots at a customer warehouse in 2024. Now, Agility’s public listing on the Nasdaq stock exchange as of November 5 has come with financial disclosures detailing how the company plans to build a business around renting out or selling humanoid robots to perform manual labor.

“When we are doing robots as a service, it is much lower risk for customers to use it because they are getting a return on investment on day one,” Jonathan Hurst, co-founder and chief robot officer at Agility Robotics, told Ars. "Because they're paying a rate that is comparable to the human labor rate, and that makes the economics pretty straightforward.”

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For years, the AI industry's insatiable demand for memory and storage has had plenty of knock-on effects on the price and availability of PC components like RAM, SSDs, and GPUs. Now those shortages are also squeezing the supply of ROM chips that power physical Nintendo Switch and Switch 2 game cartridges.

Chip manufacturer Macronix announced in its third-quarter earnings report that the company's production of ROM chips "has reached its end" and that it will begin "gradually decoupling from the game industry," as reported by Taiwanese news site BigGo Finance. That could be an issue for Nintendo, which, analyst David Gibson notes, uses Macronix as its "main memory chip maker" for physical game cartridges.

That ROM production—which has shrunk 39 percent in the last year and now represents just 5 percent of Macronix's business—is being crowded out by production of more lucrative in-demand chips like NOR- and NAND-based memory and eMMCs, the company said. With Macronix's production capacity stuck at 25,000 12-inch wafers a month—and $1.2 billion in planned new capacity taking a year or more to spin up—less profitable ROM chips are taking up wafer space that can earn more through other types of chips.

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Donald Trump’s big, rapid American AI buildout now faces a major slowdown as voters in yesterday’s elections overwhelmingly supported candidates and measures that favored increasing restrictions on AI and data centers nationwide.

One resource from a polling firm, called Redbud Consulting, tracked data center initiatives on the ballot and reported that out of 44 measures across 10 states seeking to restrict data centers, 38 passed so far. Those measures included dozens of moratoriums and bans. Analysts suggested those won’t impact data centers already under construction or approved through 2027, instead largely impacting future projects planned for 2028. Only one measure passed allowing a data center to proceed. But even that small win represented pushback on the AI industry—requiring data center developers in a North Dakota city to pay for independent reviews and hold public hearings when expanding or proposing projects.

In addition to increasing regulations on data centers, voters also backed anti-AI candidates, electing officials vowing crackdowns in key states building out the most data center capacity in the US.

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Russian tech companies are scrambling to harden and hide their data centers underground after Ukrainian drone strikes damaged facilities housing AI supercomputers and disrupted cloud services for millions of Russian users. Meanwhile, the Kremlin is requiring data center owners to reserve computing capacity for emergency state needs and has even authorized possible use of foreign data centers.

These consequences of Russia's war against Ukraine come as the Russian military has bombarded Ukrainian cities with drones and missiles nearly night and day in recent months, along with specifically targeting Ukrainian data centers since late September. But Ukraine has retaliated with its own drone strikes on military and infrastructure targets across Russia, degrading or knocking out data centers operated by Russian tech giant Yandex, the state-owned bank Sberbank, social media site VKontakte, and the Russian Ministry of Finance.

Now, state-owned telecommunications company Rostelcom has raised the possibility of moving some Russian data centers underground in talks with the nickel and palladium mining company Norilsk, according to Russian newspaper Vedomosti. The industry publication Data Center Dynamics also pointed to a recent proposal by a Russian regional governor to build data centers within open-pit coal mines while planting green public parks above as camouflage.

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The New York Times and other newspaper companies sued Brave Software yesterday, alleging that the browser maker illegally bypasses paywalls and sells stolen news content to AI companies.

"Brave is the supplier, dealer, and distributor of stolen copyrighted content for its own users and many of the most prominent GenAI companies, including Anthropic, Perplexity, Mistral, xAI, and Cohere," the NYT alleged in a lawsuit filed in US District Court for the Southern District of New York. Citing third-party revenue estimates, the suit claimed that "Brave has made more than $100 million by copying and reselling publishers’ work without consent or permission," while "publishers have received nothing."

The lawsuit said, "AI companies pay Brave to provide them with real-time online content from the Brave search index," and use content from the Brave index "to train their own AI models" and "to respond to specific user queries." The NYT lawsuit points to Brave's website, which says the Brave Search API is "used by some of the biggest names in AI, including Cohere, Mistral, Perplexity, and You.com."

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While Google is trying to move beyond Chromebooks, the ubiquity of these devices has made the company's education products huge in schools. Now, Google says it will let educators choose whether to allow its AI tools in the classroom. However, blocking AI tools also means giving up search, leaving schools with a difficult decision.

Google's new overarching approach to AI in K-12 classrooms sounds good on the surface. After consulting educators, researchers, and lawmakers, Google has decided that schools using its education products will be opted out of AI tools by default. It will be up to administrators to manually enable them when these changes roll out in the coming months.

When you look at what Google considers to be an AI tool, the nature of the Faustian bargain becomes clear. The affected products are Gemini, Gemini Notebook, Gemini in Classroom, and Google Search. There's no picking and choosing—you either allow all the AI or none of it.

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Apple’s new CEO, John Ternus, is apparently pushing the tech company’s development of household robots—and the first to debut may be a home robot designed to autonomously roam around while supporting FaceTime calls and switching lights on whenever a person enters the room.

People who worked on Apple’s robotic projects told The Information that the AI-driven home robot, code-named J595, could be named HomeView Ultra in line with Apple’s new HomeView stationary smart display. The company is reportedly aiming to launch the robotic product with a possible price tag of $1,000 or more by 2027, although development delays may push that back to 2028.

The earliest prototypes of the home robot first came out in 2018 and received approval from former Apple CEO Tim Cook to continue the project. The Information describes Apple’s engineers as trying to give the robot more capabilities beyond being a “fancy way to make FaceTime calls” in order to justify a high price tag, even as the team has spent years refining the software and incorporating more AI technologies.

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Last week, Anthropic introduced a new system prompt designed to stop its Claude models from re-creating specific, existing video games. While that move could help shield Anthropic from some liability, it's unlikely to slow much of the massive wave of AI-assisted game porting and copying that has emerged in recent months.

A social media user and AI decompilation enthusiast going by the name "chasm" was among the first to note the prompt change late last week, saying a new rule seemed to be added to the Claude Code prompt on or around October 27. That rule—included in a json file under the name "tengu_heron_brook"—reads as follows:

Do build original games, games in a genre, and games from the user’s own designs and assets. Don’t build a recreation of a specific existing game, even if it is renamed or called original.

XDA later independently verified that the new rule appears in version 2.1.314 of the Claude Code binary, which was released on October 30. XDA also reported that the "tengu_heron_brook" rule had been used for other purposes in earlier versions and that the Claude Opus 5.5 model specifically seemed to have its own distinct and independent instructions restricting game recreations as part of its system prompt bundle.

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Boom Supersonic CEO Blake Scholl recently declared “it’s time for a renaissance in energy and in supersonic flight” as the supersonic airliner company unveiled a Colorado factory dedicated to making gas turbines for AI data centers. But Boom may be facing turbulence after early backers for both ventures have questioned the company’s delivery timeline or backed out entirely.

One of the company’s first customers, United Airlines CEO Scott Kirby, has expressed doubts about Boom’s original plan to deliver the first Overture supersonic airliner in 2029. Kirby’s latest frank assessment came during an interview with the Office Hours: Business Edition podcast that appeared on October 28, 2026.

“‘29 is their official timeline,” Kirby told podcast host Monica Langley. “It’s not going to happen in ‘29—it’s going to take longer.”

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An official extension for Anthropic’s Claude model was backdoored and threatened as many as 5,000 developers' machines, multiple sources reported Friday. Anthropic so far has yet to warn customers of the incident.

The compromised package was a VS Code extension available in the marketplace of Cursor, a maker of AI-assisted developer tools, the company said Friday. The malicious version, 2.1.313, subsequently affected “at most 5,000 users,” presumably when they either downloaded it or their systems automatically fetched and installed it. Anthropic pushed version 2.1.314 several hours after the previous version became available on Cursor, according to independent researcher Kevin Beaumont. Both Beaumont and the CTO and co-founder of security firm Phorion said that version 2.1.313 was distributed through Anthropic’s official account on Cursor. So far, neither Cursor nor Anthropic has explained how the attackers gained control of the account.

In search of cloud credentials

“It was a supply-chain compromise where the attacker gained access to the official distribution channel,” Phorion CTO and co-founder Luke Roberts told Ars. “The malicious version 2.1.313 was posted to the official Anthropic account, effectively superseding 2.1.312. Extensions auto-update in Cursor by default, but users can configure this in settings.” Phorion has more details here.

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On August 9, 2026, Dartmouth College Provost Santiago Schnell wrote a Washington Post op-ed called "Universities are fighting AI cheating. But there’s a deeper problem." This week, Schnell discovered the depths of the problem himself as he resigned from the university after an advisory committee found that he failed to disclose significant AI use in an academic paper and in the Washington Post op-ed, even though publishers required such disclosure.

Schnell didn't make it especially easy for the committee to investigate his AI use; the report uses the term "insufficient cooperation." He did turn over his Dartmouth laptop, but he did not turn over logs from his personal LLM accounts related to the writings in question. Nor did he agree to meet with the committee.

The committee did get access to the Claude enterprise account Schnell had used through Dartmouth, though. This shows him using the LLM as a tool for revising his papers, finding and fixing bugs in code, and editing or generating figures. For instance, Schnell would run his papers through Claude and ask things like:

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As AI tools and agents have continued their march across all aspects of digital life, many companies are trying to use LLMs to improve the experience of purchasing goods and services on the Internet. Thus far, though, a vanishingly small number of people seem to be taking advantage of those capabilities, at least when it comes to using the popular food delivery app DoorDash with an outside AI agent.

In a third-quarter earnings call Thursday, DoorDash co-founder and CEO Tony Xu responded to an analyst question by noting that "AI agents are generating several hundred orders [on DoorDash] across the time that they've been up and running." In a marked understatement, Xu called this a "very low use case" for a company that handled just shy of 1 billion orders total in the third quarter of 2026 alone.

Speaking generally, Xu said he sees the potential for AI agents to be genuinely helpful for "long consideration purchases" and major decisions where agents would be "doing work on your behalf proactively in the background." However, Xu added, "when it comes to a task that's as simple as ordering food, we tend to see that come directly to DoorDash."

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In an announcement released Thursday, Fujifilm said it will invest roughly 10 billion yen (about $63 million) to increase its production capacity fivefold for an unlikely beneficiary of the AI era: magnetic tape.

Fujifilm attributes the surge in archiving demand to the spread of generative AI, which the company remarked is producing "exponential growth" in data needs worldwide. The 5x increase in production capacity will be measured against fiscal year 2025 production levels.

The investment in Fujifilm's Kanagawa Factory, Odawara site will make it "the largest investment Fujifilm has made to date in dedicated LTO tape facilities." The project will run from fiscal years 2026 through 2028 to fund manufacturing expansion and additional personnel, primarily to produce the latest-generation "FUJIFILM LTO Ultrium10" tape.

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The US has charged five individuals as part of the first broad federal crackdown on “ghost students”—fraudsters who steal the identities of hundreds of Americans to pose as fake college students and steal student loans.

In a press release Thursday, the Department of Justice said it had uncovered a large-scale scheme relying partly on AI. The DOJ seized more than $750,000 in cryptocurrency from “a network associated with Kenyan nationals" after data analysis helped flag likely fraudsters. Assistant Attorney General Colin M. McDonald of the DOJ’s National Fraud Enforcement Division credited new fraud-detection measures implemented by the Trump administration for the arrests. He said that “this is the first international seizure of its kind in Kenya,” while warning fraudsters that the crackdown has only just begun.

“If you steal American identities, if you steal taxpayer dollars, if you exploit programs meant to help students build a future—we will find you,” McDonald said. “Whether you are in Nebraska, New Jersey, Virginia, or Nairobi, we will pursue you.”

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President Donald Trump has declared the imports of foreign-made factory robots to be a national security threat—ordering new US negotiations with trading partners while holding out the possibility of imposing new tariffs on such robot imports in the future.

Issued on October 28, Trump’s presidential proclamation represents heightened government scrutiny of foreign-made industrial robots that could complicate the manufacturing operations of major US corporations that rely on such robots. Those companies include Detroit automakers General Motors and Ford, electric vehicle manufacturer Tesla, and aerospace and defense giants like Boeing and Lockheed Martin.

Trump’s proclamation describes industrial robots and machinery as being crucial for producing US military weapon systems along with representing a “driving force” behind all critical infrastructure sectors within the US economy. The proclamation cites an investigation under US Secretary of Commerce Howard Lutnick as having found that US imports of such robots “poses risks to the United States industrial base and threatens the long-term competitiveness of the United States in a sector that is increasingly vital to national security.”

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Google parent Alphabet reported its Q3 financial results on Wednesday afternoon, showing a healthy rise in revenue for the months of July to September. But the company's stock price has taken a beating, marking one of the largest post-earnings drops in its history. It comes down to several troubling aspects of the new report, including an admission by the company that AI search isn't earning as much as organic search, and despite that, Google expects to spend even more on AI next year.

The company took in almost $128 billion in Q3 2026, earning more than $26 billion in net income. These may sound like good numbers, but financial markets are not impressed. While revenue is up 25 percent versus last year, net income is almost $9 billion lower. As of this story's publication, the stock price is down almost 12 percent, and it was down about 13 percent earlier in the day.

While revenue was up 25 percent year over year, analysts expected more. Google reported earnings per share of $2.12, but the consensus projection ahead of Wednesday was $3.02. Google's Cloud products actually beat expectations, crossing $30 billion in revenue. That's about a billion more than analyst guesses.

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