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10 Oct 2026 7:12pm GMT

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10 Oct 2026 7:02pm GMT

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10 Oct 2026 6:48pm GMT

OpenAI announced it's recently banned two "influence operations" - one from Russia and one from Iran - that were using its models "to launder geopolitical, conflict-related messaging" in sophisticated "false front" propaganda campaigns: The Iranian operation included a stable of seven "journalist" personas which it used to pitch long-form articles to small and medium online outlets around the world... As well as long-form articles, the Iranian operation generated batches of social media comments, generally on topics related to the US-Iran war... [The Russian operation "appears to have co-opted unwitting people in Latin America to run a 'think tank'.... Since we do not allow access to our models from Russia, they used VPNs to connect to our services."] The Russian operation created fake "leaked" documents and audio scripts, some of which we identified being spread online... Both managed to land their content (not all of which was generated from our models) in mainstream media outlets, rather than simply posting it on social media. OpenAI says they've exposed 30 covert influence operations using its tools over the last two and a half years. But ironically, in this case both operations "also made heavy use of AI to draft internal reports (the Russian operation did this more than anything else)." And "in both cases, the actors used questionable or outright deceitful methodologies to exaggerate the operators' effectiveness." [The Russian operators] claimed that in May 2026, they created a fake email address purporting to come from the Regional Directorate of Education in Lima, Peru. They used this to instruct schools in the district to hold events dedicated to Ukraine on the national Day of Cultural and Linguistic Diversity (May 21)... According to the operators, some schools replied to the fake email address, confirming that they had held such events and even providing pictures. The operators then claimed to have planted stories about the events in the media in both Peru and Poland, alongside allegations that Ukraine was "exporting" ultra-nationalist ideologies, triggering outrage. Open-source searches identified stories that matched this claim in the Peruvianâ andâ Polish pressâ, and an English-language publication in Hungary (some of the articles have since been deleted)... Similarly, in June, the operators claimed they used a different fake email address to trick schools in Ecuador into holding a ceremony pledging allegiance to President Daniel Noboa and to Erik Prince, former head of private military contractor Blackwater. The operators claimed that the incident provoked outrage in Ecuador and put pressure on the government to deny the fake, thus amplifying it to a nationwide audience. Again, open-source research identified mediaâ coverageâ in the Ecuadorianâ pressâ that closely resembled this claim, and even a detailed rebuttalâ by Ecuador's Minister for Education. The operators used a range of techniques to underpin their false stories. According to their internal reporting, they spread two different fakes targeting Ecuador in March. One used fake audio attributed to Ukraine's consul in Ecuador, in which he was alleged to have made disparaging comments about Ecuadorians. OpenAI's report "is the latest illustration of how state actors can easily exploit widely available AI tools to peddle sophisticated propaganda against adversaries on a mass scale," argues the Economic Times: "We identified almost 100 articles published or syndicated under the [Iranian] operation's bylines across roughly a dozen online outlets around the world," OpenAI said. "These were small to medium outlets, generally focused on international affairs, geopolitics, and events in the Middle East." The earliest article identified by OpenAI was published in July 2025, and the latest in October 2026, with the frequency of reports increasing after the US-Iran war broke out earlier this year. The operation also generated social media comments on topics related to the US-Iran war, it added. One of the personas named Ervin B. Hoskins, whose bio claimed to be "an American freelance writer," had social media accounts across tech platforms including Elon Musk's X and Meta-owned Instagram. X's transparency information showed the account was connected via a "West Asia android app" and Instagram's transparency information showed the account was based in Iran, according to screenshots provided by OpenAI. Both accounts appeared to be suspended.

Read more of this story at Slashdot.

10 Oct 2026 6:34pm GMT

Let's Encrypt will reduce TLS certificate validity from 90 to 64 days starting February 10, 2027, with a further reduction to 45 days planned for 2028.

10 Oct 2026 6:27pm GMT

Last week a Florida woman sued Flock over its role in police officer accusing her of a crime she didn't commit But she's not the only one suing Flock over mistaken accusations, reports Gizmodo: . A Ring video of a Colorado woman being handed a criminal summons for a porch-package theft she did not commit recently went viral after the accusation rested on a Flock Safety automated license plate reader hit. Now, the woman involved in that case, Chrisanna Elser, is suing Flock Group, the towns of Columbine Valley and Bow Mar, Sergeant Jamie Milliman, and Chief Bret Cottrell in federal court on behalf of herself and other Coloradans whose plates the company has logged... The package in question was worth $25... The claims aimed at the company are intrusion upon seclusion, plus negligence and negligent design, on the theory that Flock sold a searchable archive and refused to require a warrant, a case number, or a supervisor's sign-off before an officer could run a plate... Elser is asking the court to make Columbine Valley, Bow Mar, Cottrell, and Flock delete the retained location data, to bar them from keeping it unless it is tied to an open case number, and to make Flock require a warrant, a case number, and a supervisor's approval before a Colorado agency can search the system. The Colorado Sun has more details. "Elser did not steal anything, but spent the following two weeks proving her own evidence to a department that did not return her calls, she said. [P]olice Sgt. Jamie Milliman told her the town of Bow Mar's surveillance cameras captured her forest green Rivian driving through town the same day a package disappeared from a thief... When Elser offered to show her own evidence to prove her innocence, including footage from her Rivian's onboard cameras, Milliman said she could bring it to court. Now, she is suing the officers and Flock Safety in U.S. District Court in Denver, alleging that the warrantless tracking violated her constitutional rights and that Flock's surveillance system unlawfully documents Coloradans' movements... "The scariest part is what happened to me can happen to anyone. I had no idea the Flock cameras existed and no idea a private company was keeping a record of every time I drove past my own neighborhood, or that any officer could pull it up without asking anyone or giving a reason for doing so," Elser said in a statement Tuesday. "If it can happen to me, it can happen to you...." "As noted in the complaint, the Flock system accurately identified the location of Ms. Elser's vehicle, while law enforcement retained responsibility for interpreting and weighing that information as part of the broader investigation," Paris Lewbel, Flock's public relations manager said. "Flock stands by the accuracy and integrity of its technology and intends to vigorously defend itself in this litigation." The article includes this statement from the woman's attorney. "Coloradans pass Flock's cameras on the way to work, church, the doctor, a protest, and a friend's house, and Flock keeps a detailed record of their every movement. It knows where you went, when you went there, and how often you go back, and it gives that information to a police officer with no limits. "We are asking a federal court to say what should be obvious: Flock's surveillance is straight-up creepy and the government does not get to follow everyone, all the time, without any reason for doing so."

Read more of this story at Slashdot.

10 Oct 2026 5:34pm GMT

SQLite 3.54 delivers a 4% performance boost, query planner optimizations, command-line improvements, and new database analysis capabilities.

10 Oct 2026 3:05pm GMT

Phoronix reports on a presentation this week by Meta engineer Gregory Price at the Linux Plumbers Conference in Prague: With today's memory shortages, high prices, and ever increasing memory capacity needs, Meta engineers have been working on Compressed RAM ("CRAM") for Linux. This hardware-offloaded compression still allows cacheline/byte access to compressed memory and in turn a better implementation than the likes of ZRAM and Zswap. Very promising is that there is near-native performance to raw DRAM speeds with CRAM... For end-users that may already be relying on the likes of Zswap or ZRAM, CRAM is offering near-native DRAM speeds. Read-only data is shown to be as fast as the raw DRAM performance. And for memory writes, CRAM is much faster than ZRAM or Zswap or plain swap. "Most of the individual pieces needed to support CRAM are already mainline," the article points out. Tom's Hardware writes that "It uses a private NUMA node (essentially, a ghost CPU) instead of pretending to be a block device, and this lets Linux continue using all of its memory semantics, including migration and ballooning, to manage CRAM." Because CRAM is stored in RAM and treated as RAM, with full cacheline/byte access, it can be accessed in a read-only fashion with little delay; just the cost of hardware-offloaded compression... Even when you enable writes, CRAM is still much faster than ZRAM; 5.4x in the worst tested case of 20% writes. That's a huge drop from the 452x read-only case, but keep your context; a 5.4x speedup is still titanic. The massive performance cliff when writes are involved comes down to the need to page fault and migrate folios back to the original NUMA domain, as you can't write directly to compressed data; you'd corrupt everything... While the obvious target of the work here (given its origin at Meta Platforms) is big Linux servers, ZRAM and Zswap are used all over the Linux ecosystem, even on machines as constrained as the Steam Deck. Many distributions enable one or the other by default. CRAM seems like it could offer a considerable speed-up for some of these machines, so hopefully it finds its way into the kernel once the remaining implementation questions are answered.

Read more of this story at Slashdot.

10 Oct 2026 12:04pm GMT

Python 3.15 introduces lazy imports, UTF-8 as the default encoding, faster experimental JIT performance, and new profiling tools.

10 Oct 2026 10:53am GMT

Dissolved rock precipitated around the tools, which then decayed.

09 Oct 2026 10:34pm GMT

One damaged data center has supercomputers used for training Yandex's AI model.

09 Oct 2026 10:04pm GMT

Stylish upcycling, with a retro flare, at Spain's Museo de Historia de la Computación.

09 Oct 2026 9:51pm GMT