An anonymous reader quotes a report from the Wall Street Journal: Concerned that artificial intelligence could threaten Communist Party rule, Beijing is taking extraordinary steps to keep it under control. Although China's government sees AI as crucial to the country's economic and military future, regulations and recent purges of online content show it also fears AI could destabilize society. Chatbots pose a particular problem: Their ability to think for themselves could generate responses that spur people to question party rule.

In November, Beijing formalized rules it has been working on with AI companies to ensure their chatbots are trained on data filtered for politically sensitive content, and that they can pass an ideological test before going public. All AI-generated texts, videos and images must be explicitly labeled and traceable, making it easier to track and punish anyone spreading undesirable content. Authorities recently said they removed 960,000 pieces of what they regarded as illegal or harmful AI-generated content during three months of an enforcement campaign. Authorities have officially classified AI as a major potential threat, adding it alongside earthquakes and epidemics to its National Emergency Response Plan.

Chinese authorities don't want to regulate too much, people familiar with the government's thinking said. Doing so could extinguish innovation and condemn China to second-tier status in the global AI race behind the U.S., which is taking a more hands-off approach toward policing AI. But Beijing also can't afford to let AI run amok. Chinese leader Xi Jinping said earlier this year that AI brought "unprecedented risks," according to state media. A lieutenant called AI without safety like driving on a highway without brakes. There are signs that China is, for now, finding a way to thread the needle.

Chinese models are scoring well in international rankings, both overall and in specific areas such as computer coding, even as they censor responses about the Tiananmen Square massacre, human-rights concerns and other sensitive topics. Major American AI models are for the most part unavailable in China. It could become harder for DeepSeek and other Chinese models to keep up with U.S. models as AI systems become more sophisticated. Researchers outside of China who have reviewed both Chinese and American models also say that China's regulatory approach has some benefits: Its chatbots are often safer by some metrics, with less violence and pornography, and are less likely to steer people toward self-harm. "The Communist Party's top priority has always been regulating political content, but there are people in the system who deeply care about the other social impacts of AI, especially on children," said Matt Sheehan, who studies Chinese AI at the Carnegie Endowment for International Peace, a think tank. "That may lead models to produce less dangerous content on certain dimensions."

Los Angeles Times (non-paywalled source): When police questioned Marvin Margolis following the murder of Elizabeth Short -- who became known as the Black Dahlia -- he lied about how well he had known her. The 22-year-old Short had been found mutilated in a weedy lot in South Los Angeles, severed neatly in half with what detectives thought was surgical skill. Margolis was on the list of suspects. He was a sullen 21-year-old premed student at USC, a shell-shocked World War II veteran who had expressed an eagerness to practice surgery. He was "a resentful individual who shows ample evidence of open aggression," a military psychiatrist had concluded.

At first, Margolis did not tell detectives that he had lived with Short for 12 days at a Hollywood Boulevard apartment, three months before her January 1947 murder. Margolis later admitted they had lived together in Apartment 726 at the Guardian Arms Apartments. But he soon moved to Chicago and changed his name, frustrating further attempts to question him. Among many suspects, a district attorney investigator would note, Margolis was "the only pre-medical student who ever lived as a boy friend with Beth Short."

A generation later and hundreds of miles north, a killer who called himself the Zodiac terrorized the San Francisco Bay Area with five seemingly random murders from 1968 to 1969, taunting police and media for years with letters and cryptograms. The toughest to decipher was the letter he sent in April 1970 to the San Francisco Chronicle, with the words "My name is -" followed by a 13-character string of letters and symbols. It came to be called the Z13 cipher, and its brevity has stymied generations of PhDs and puzzle prodigies.

Alex Baber, a 50-year-old West Virginia man who dropped out of high school and taught himself codebreaking, now says he has cracked the Zodiac killer's identity -- and in the process solved the Black Dahlia case as well. "It's irrefutable," said Baber, obsessive, hyperfocused and cocksure in manner, his memory encyclopedic and his speech a firehose of dates, locations and surprising linkages.

[...] To attack the problem, Baber used artifical intelligence and generated a list of 71 million possible 13-letter names. Using known details of the Zodiac killer, based on witness descriptions, he cross-checked those names against military, marriage, census and other public records. "This takes me nine months of working 18-20 hour days," he said. "I'm starting to kill this onion. I'm starting to eliminate layers: Too tall, too short, or wrong race." The candidates narrowed to 185, to 14, and then, he said, to one. The name he found buried in the Z13 code: "Marvin Merrill."

Russia plans to put a nuclear power plant on the moon in the next decade to supply its lunar space programme and a joint Russian-Chinese research station, as major powers rush to explore the earth's only natural satellite. Reuters: Ever since Soviet cosmonaut Yuri Gagarin became the first human to go into space in 1961, Russia has prided itself as a leading power in space exploration, but in recent decades it has fallen behind the United States and, increasingly, China. Russia's ambitions suffered a massive blow in August 2023 when its unmanned Luna-25 mission smashed into the surface of the moon while attempting to land, and Elon Musk has revolutionised the launch of space vehicles - once a Russian speciality.

Russia's state space corporation, Roscosmos, said in a statement that it planned to build a lunar power plant by 2036 and signed a contract with the Lavochkin Association aerospace company to do it. Roscosmos did not say explicitly that the plant would be nuclear but it said the participants included Russian state nuclear corporation Rosatom and the Kurchatov Institute, Russia's leading nuclear research institute. Roscosmos said the purpose of the plant was to power Russia's lunar programme, including rovers, an observatory and the infrastructure of the joint Russian-Chinese International Lunar Research Station.

The Justice Department justified its delayed release of sensitive files by citing the need to carefully redact information that could identify victims, but at least some of those redactions have proven to be technically ineffective and can be bypassed by simply copying and pasting the blacked-out text into a new document.

A 2022 complaint filed by the US Virgin Islands seeking damages from Jeffrey Epstein's estate appeared on the DOJ's "Epstein Library" website with black boxes throughout. Techdirt founder Mike Masnick and others shared on Bluesky that the redactions could be trivially circumvented. The exposed text includes allegations that a co-executor signed over $400,000 in foundation checks "payable to young female models and actresses, including a former Russian model," and details about an immigration lawyer allegedly "involved in one or more forced marriages arranged among Epstein's victims."

Separately, Drop Site News was also apparently able to guess URLs of files not yet published by extrapolating the format.

Hallmark has released more than 300 Christmas-themed TV movies since 2000, and a detailed internal rulebook obtained by film data analyst Stephen Follows explains how the company manages to produce nearly one new holiday film per week during the final quarter of each year without the whole operation collapsing into creative chaos.

The document, referred to as Hallmark's "bible" by writers and producers who have worked on these films, specifies everything from script length (105-110 pages across a rigid nine-act structure) to prohibited activities (no bowling, no karaoke). Christmas movies must include snow or its remnants and feature characters engaged in seasonal activities like baking cookies, ice skating, and drinking hot chocolate.

The target demographic is women aged 25-54, and the content must be watchable by an 80-year-old grandmother and a 5-year-old niece simultaneously. The economics differ sharply from theatrical filmmaking. Licensed titles from outside production companies carry budgets around $500,000 or less, while Hallmark's in-house productions can exceed $2 million. About three-quarters of the library comes from external producers. The formula appears to work. Hallmark TV movies have averaged a 6.3 IMDb user score over the past 14 years, compared to 5.9 for feature films worldwide.

Further reading: Using Data To Determine if 'Die Hard' is a Christmas Movie.

An anonymous reader shares a report: In 2024, 25.2% of gross final energy consumption in the EU came from renewable sources, up by 0.7 percentage points compared with 2023. This share is 17.3 pp short of meeting the 2030 target (42.5%), which would require an annual average increase of 2.9 pp from 2025 to 2030.

Among the EU countries, Sweden recorded the highest share of its gross final energy consumption coming from renewable sources (62.8%). Sweden primarily relied on solid biomass, hydro and wind. Finland followed with 52.1%, relying on solid biomass, wind and hydro, while Denmark came in third with 46.8%, with most of its renewable energy sourced from solid biomass, wind and biogas. The lowest shares of renewables were recorded in Belgium (14.3%), Luxembourg (14.7%), and Ireland (16.1%).

YouTube has been winning the streaming wars for years, but its real competitive advantage comes not from prime-time viewing but from its stranglehold on daytime hours when Americans are meditating, exercising, cooking, or simply looking for background noise. At 11 a.m. in October, YouTube commanded an average audience of 6.3 million viewers compared to Netflix's 2.8 million, according to Nielsen data. Amazon drew about a million viewers at that hour, and HBO Max, Paramount+ and Peacock each pulled fewer than 600,000.

The gap narrows significantly at night -- Netflix's audience swells to over 11 million at 9 p.m., trailing YouTube's 12 million -- but YouTube's dominance reasserts itself in overnight hours and through the next day. Netflix is responding by bringing at least 34 video podcasts to its service next year, including "The Breakfast Club," "The Bill Simmons Podcast," and "Pardon My Take." Amazon added the Kelce brothers' "New Heights" podcast to Prime Video in September. The strategy is intentional: roughly 75 percent of all podcast listening happens between 6 a.m. and 6 p.m., according to Edison Research. YouTube said viewers watched 700 million hours of video podcasts on living room devices in October alone, a 75% increase from the previous year.

Goldman Sachs, in a note this week, via India Dispatch: There are various reasons that explains this: (i) A large part of the global education spend goes towards formal education (schools, colleges and universities), which are typically either run by governments or are not-for-profit institutions;

(ii) It is difficult to replicate education quality at scale in our view, since most teachers would have a different pedagogy, and thus standardization is harder to achieve vs that in other internet categories;

(iii) Education is fragmented - it includes various fields (schools, undergrad courses, medicine, engg, management, etc.), each with their own curriculum, and the same being vastly different across countries globally; this makes scalability difficult beyond a few certain specializations and regions.

Additionally, we believe the ability for online education to capture a sizable value share of supplemental education is limited since the perceived value of offline, including that from community, in-person engagement and doubt solving, rigour, etc., is typically higher.

However, we note that before China's double reduction policy in 2021, TAL and EDU had market caps of up to US$50 bn; these companies were mostly domestic focused and on the K-12 tutoring segment, which has large volumes. Similarly in India, Byju's reached a peak valuation of US$20 bn+ (link; again, focused on K-12), before issues around governance etc. impacted the business.

An anonymous reader quotes a report from the Associated Press: The State Department announced Tuesday it was barring five Europeans it accused of leading efforts to pressure U.S. tech firms to censor or suppress American viewpoints. The Europeans, characterized by Secretary of State Marco Rubio as "radical" activists and "weaponized" nongovernmental organizations, fell afoul of a new visa policy announced in May to restrict the entry of foreigners deemed responsible for censorship of protected speech in the United States. "For far too long, ideologues in Europe have led organized efforts to coerce American platforms to punish American viewpoints they oppose," Rubio posted on X. "The Trump Administration will no longer tolerate these egregious acts of extraterritorial censorship."

The five Europeans were identified by Sarah Rogers, the under secretary of state for public diplomacy, in a series of posts on social media. [...] The five Europeans named by Rogers are: Imran Ahmed, chief executive of the Centre for Countering Digital Hate; Josephine Ballon and Anna-Lena von Hodenberg, leaders of HateAid, a German organization; Clare Melford, who runs the Global Disinformation Index; and former EU Commissioner Thierry Breton, who was responsible for digital affairs. Rogers in her post on X called Breton, a French business executive and former finance minister, the "mastermind" behind the EU's Digital Services Act, which imposes a set of strict requirements designed to keep internet users safe online. This includes flagging harmful or illegal content like hate speech. She referred to Breton warning Musk of a possible "amplification of harmful content" by broadcasting his livestream interview with Trump in August 2024 when he was running for president.

Longtime Slashdot reader MrFreak shares a public radio interview from 2015 discussing artificial intelligence as inference over abstract inputs, along with scaling limits, automation, and governance models, where for-profit engines are constrained by nonprofit oversight: Recorded months before OpenAI was founded, the conversation treats intelligence as math plus incentives rather than something mystical, touching on architectural bottlenecks, why "reasoning" may not simply emerge from brute force, labor displacement, and institutional design for advanced AI systems. Many of the themes align closely with current debates around large language models and AI governance.

The recording was revisited following recent remarks by Sergey Brin at Stanford, where he acknowledged that despite Google's early work on Transformers, institutional hesitation and incentive structures limited how aggressively the technology was pursued. The interview provides an earlier, first-principles perspective on how abstraction, scaling, and organizational design might interact once AI systems begin to compound.

theodp writes: We all mix pictures, emojis, and text freely in our communications. So why not in our code? That's the premise of "Fun With Python and Emoji: What Might Adding Pictures to Text Programming Languages Look Like?" (two-image Bluesky explainer; full slides), which takes a look at what mixing emoji with Python and SQL might look like. A GitHub repo includes a Google Colab-ready Python notebook proof of concept that does rudimentary emoji-to-text translation via an IPython input transformer.

So, in the Golden Age of AI -- some 60+ years after Kenneth Iverson introduced the chock-full-of-symbols APL -- are valid technical reasons still keeping symbols and pictures out of code, or is their absence more of a programming dogma thing?

An anonymous reader quotes a report from TechCrunch: Across Uzbekistan, a network of about a hundred banks of high-resolution roadside cameras continuously scan vehicles' license plates and their occupants, sometimes thousands a day, looking for potential traffic violations. Cars running red lights, drivers not wearing their seatbelts, and unlicensed vehicles driving at night, to name a few. The driver of one of the most surveilled vehicles in the system was tracked over six months as he traveled between the eastern city of Chirchiq, through the capital Tashkent, and in the nearby settlement of Eshonguzar, often multiple times a week. We know this because the country's sprawling license plate-tracking surveillance system has been left exposed to the internet.

Security researcher Anurag Sen, who discovered the security lapse, found the license plate surveillance system exposed online without a password, allowing anyone access to the data within. It's not clear how long the surveillance system has been public, but artifacts from the system show that its database was set up in September 2024, and traffic monitoring began in mid-2025. The exposure offers a rare glimpse into how such national license plate surveillance systems work, the data they collect, and how they can be used to track the whereabouts of any one of the millions of people across an entire country. The lapse also reveals the security and privacy risks associated with the mass monitoring of vehicles and their owners, at a time when the United States is building up its nationwide array of license plate readers, many of which are provided by surveillance giant Flock.

Under pressure from the Digital Markets Act, Apple's iOS 26.3 adds AirPods-style proximity pairing and notification support for third-party accessories in the EU. The changes will roll out to European users in 2026. MacRumors reports: The Digital Markets Act requires Apple to provide third-party accessories with the same capabilities and access to device features that Apple's own products get. In iOS 26.3, EU wearable device makers can now test proximity pairing and improved notifications.

Here are the new capabilities that Apple is adding:
- Proximity pairing - Devices like earbuds will be able to pair with an iOS device in an AirPods-like way by bringing the accessory close to an iPhone or iPad to initiate a simple, one-tap pairing process. Pairing third-party devices will no longer require multiple steps.
- Notifications - Third-party accessories like smart watches will be able to receive notifications from the iPhone. Users will be able to view and react to incoming notifications, which is functionality normally limited to the Apple Watch. Notifications can only be forwarded to one connected device at a time, and turning on notifications for a third-party device disables notifications to an Apple Watch.

A group of authors led by John Carreyrou has filed a new lawsuit against Anthropic, Google, OpenAI, Meta, xAI, and Perplexity, accusing the AI firms of training models on pirated copies of their books. TechCrunch reports: If this sounds familiar, it's because another set of authors already filed a class action suit against Anthropic for these same acts of copyright infringement. In that case, the judge ruled that it was legal for Anthropic and similar AI companies to train on pirated copies of books, but that it was not legal to pirate the books in the first place.

While eligible writers can receive about $3,000 from the $1.5 billion Anthropic settlement, some authors were dissatisfied with that resolution -- it doesn't hold AI companies accountable for the actual act of using stolen books to train their models, which generate billions of dollars in revenue. The plaintiffs in the new lawsuit say the proposed Anthropic settlement "seems to serve [the AI companies], not creators."

"LLM companies should not be able to so easily extinguish thousands upon thousands of high-value claims at bargain-basement rates, eliding what should be the true cost of their massive willful infringement."