After Anna's Archive published a massive scrape containing 86 million songs and metadata from Spotify, the streaming giant responded by disabling the nefarious accounts responsible. A spokesperson for Spotify told Recorded Future News that it "has identified and disabled the nefarious user accounts that engaged in unlawful scraping." "We've implemented new safeguards for these types of anti-copyright attacks and are actively monitoring for suspicious behavior," the spokesperson said. "Since day one, we have stood with the artist community against piracy, and we are actively working with our industry partners to protect creators and defend their rights." The Record reports: The spokesperson added that Anna's Archive did not contact them before publishing the files. They also said it did not consider the incident a "hack" of Spotify. The people behind the leaked database systematically violated Spotify's terms by stream-ripping some of the music from the platform over a period of months, a spokesperson said. They did this through user accounts set up by a third party and not by accessing Spotify's business systems, they added. Anna's Archive published a blog post about the cache this weekend, writing that while it typically focuses its efforts on text, its mission to preserve humanity's knowledge and culture "doesn't distinguish among media types." "Sometimes an opportunity comes along outside of text. This is such a case. A while ago, we discovered a way to scrape Spotify at scale. We saw a role for us here to build a music archive primarily aimed at preservation," they said. "This Spotify scrape is our humble attempt to start such a 'preservation archive' for music. Of course Spotify doesn't have all the music in the world, but it's a great start."

Read more of this story at Slashdot.

Italy's antitrust regulator Italian Competition Authority ordered Meta to suspend a policy that blocks rival AI chatbots from using WhatsApp's business APIs, citing potential abuse of market dominance. "Meta's conduct appears to constitute an abuse, since it may limit production, market access, or technical developments in the AI Chatbot services market, to the detriment of consumers," the Authority wrote. "Moreover, while the investigation is ongoing, Meta's conduct may cause serious and irreparable harm to competition in the affected market, undermining contestability." TechCrunch reports: The AGCM in November had broadened the scope of an existing investigation into Meta, after the company changed its business API policy in October to ban general-purpose chatbots from being offered on the chat app via the API. Meta has argued that its API isn't designed to be a platform for the distribution of chatbots and that people have more avenues beyond WhatsApp to use AI bots from other companies. The policy change, which goes into effect in January, would affect the availability of AI chatbots from the likes of OpenAI, Perplexity, and Poke on the app.

Read more of this story at Slashdot.

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."

Read more of this story at Slashdot.

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.

Read more of this story at Slashdot.

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.

Read more of this story at Slashdot.

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?

Read more of this story at Slashdot.

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.

Read more of this story at Slashdot.

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.

Read more of this story at Slashdot.

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."

Read more of this story at Slashdot.

Phoronix's Michael Larabel writes: An interesting anecdote from this month's Linux Plumbers Conference in Tokyo is that Meta (Facebook) is using the Linux scheduler originally designed for the needs of Valve's Steam Deck... On Meta Servers. Meta has found that the scheduler can actually adapt and work very well on the hyperscaler's large servers. [...] The presentation at LPC 2025 by Meta engineers was in fact titled "How do we make a Steam Deck scheduler work on large servers." At Meta they have explored SCX_LAVD as a "default" fleet scheduler for their servers that works for a range of hardware and use-cases for where they don't need any specialized scheduler. They call this scheduler built atop sched_ext as "Meta's New Default Scheduler." LAVD they found to work well across the growing CPU and memory configurations of their servers, nice load balancing between CCX/LLC boundaries, and more. Those wishing to learn more about Meta's use and research into SCX-LAVD can find the Linux Plumbers Conference presentation embedded below along with the slide deck (PDF).

Read more of this story at Slashdot.

An anonymous reader quotes a report from MarketWatch: ServiceNow announced a deal to acquire cybersecurity company Armis on Tuesday, marking a new milestone in the software giant's artificial-intelligence business strategy. The $7.75 billion all-cash transaction is part of ServiceNow's goal of advancing governance and trust in autonomous AI agents, and the company's largest transaction to date. "The acquisition of Armis will extend and enhance ServiceNow's Security, Risk, and [Operational Technology] portfolios in critical and fast-growing areas of cybersecurity and drive increased AI adoption by strengthening trust across businesses' connected environments," the company wrote in a press release. While ServiceNow built its foundation IT service management products, the company has positioned itself as an "AI control tower" that orchestrates workflows across HR, customer service and security operations. Organizations today are operating in increasingly complex environments, with assets spanning from laptops and servers to smart grid devices, Gina Mastantuono, chief financial officer of ServiceNow, told MarketWatch on Tuesday. "But at the same time, cyber threats are becoming more sophisticated and more complex," she added. ServiceNow's Security and Risk business crossed $1 billion in annual contract value earlier this year, and the Armis acquisition is expected to triple ServiceNow's market opportunity in the sector. Armis currently has over $340 million in annual recurring revenue, with growth exceeding 50% year-over-year, according to the press release. The Armis acquisition would allow ServiceNow to create an "end-to-end proactive cybersecurity exposure and operations stack that enables enterprises to see, decide and act across a business' entire technology footprint," Mastantuono said.

Read more of this story at Slashdot.

Irish competitor Diarmuid Early, dubbed the "Lebron James of Excel spreadsheets," has won the 2025 Microsoft Excel World Championship in Las Vegas, dethroning three-time champion Andrew Ngai. The BBC reports: The esport showpiece in December attracted competitors worldwide as 256 spreadsheet heads battled it out across knockout rounds to join the final 24 in Vegas. [...] A three-time champion in the financial Excel tournaments, this win was Diarmuid's first in the overall competition. He held the triple-world champion Andrew Ngai to second place, and won the $5,000 prize and title belt. [...] Excel esports transforms a common office tool into a dynamic sport. More than 20 years old, the competitive scene has evolved from being finance based to now involving more general problem solving. Although it might help, Diarmuid said "it doesn't require accounting or finance knowledge." He described an example where Excel is used in solving a maze, scoring poker hands, or even sorting Kings and Queens into the battles in which they fought. Generally there is a 30 minute challenge, with each challenge broken up into levels. The questions increase gradually in difficulty, with each correct answer gaining a player points. Whoever gets the most points wins, and in a tie, it is whoever got there first. "It's just, can you think on your feet and do things quickly in Excel?" he said. "If you solve the earlier levels in a neat way, that'll let you hit the ground running faster on the later ones."

Read more of this story at Slashdot.