Facebook Marketplace has emerged as the dominant feature within the social media platform, amassing 1.2 billion monthly active buyers by 2023 and overtaking eBay as a peer-to-peer selling platform. According to recent data, approximately 16 percent of Facebook's monthly active users now access the site exclusively to participate in Marketplace.

The feature's growth accelerated following the pandemic's supply chain disruptions and subsequent inflation, which increased demand for used goods. Facebook reports that Marketplace is attracting younger demographics who have otherwise abandoned the platform's social features.

This shift represents a fundamental transformation of Facebook's core function from "digital connector" to "digital bazaar," with the platform increasingly hosting transactions rather than social connections.

The U.S. Army told the government it had a lot of success using AI to "process targets" during a recent deployment. It said that it had used AI systems to identify targets at a rate of 55 per day but could get that number up to 5,000 a day with "advanced artificial intelligence tools in the future." 404 Media: The line comes from a new report from the Government Accountability Office -- a nonpartisan watchdog group that investigates the federal government. The report is titled "Defense Command and Control" and is, in part, about the Pentagon's recent push to integrate AI systems into its workflow.

Across the government, and especially in the military, there has been a push to add or incorporate AI into various systems. The pitch here is that AI systems would help the Pentagon ID targets on the battlefield and allow those systems to help determine who lives and who dies. The Ukrainian and Israeli military are already using similar systems but the practice is fraught and controversial.

On Bluesky, the joke's on you if you don't get the joke. The social network has become a "refuge" for those fleeing X and Threads, but its growing pains include a serious case of humor-impairment. When Amy Brown jokingly posted she was "screaming, crying, and throwing up" about price differences between Ohio and California Walgreens, literal-minded users scolded her for exaggerating. Brown, a former Wendy's social media manager who got banned from X after impersonating Elon Musk, puts it simply: "We're both speaking English, but I'm speaking internet."

This clash stems from Bluesky's oddly mixed population: irony-steeped Twitter refugees mingling with earnest Facebook transplants and MSNBC viewers who took the plunge after seeing the platform mentioned on shows like Morning Joe. "It's riff collapse," says cartoonist Mattie Lubchansky, describing how her obviously absurd Oscar post triggered sincere movie recommendations.

Framework -- a company that makes upgradeable and repairable laptops -- will pause sales on several versions of one of its models in America thanks to Trump's tariffs, it said. From a report: "Due to the new tariffs that came into effect on April 5th, we're temporarily pausing US sales on a few base Framework Laptop 13 systems (Ultra 5 125H and Ryzen 5 7640U). For now, these models will be removed from our US site. We will continue to provide updates as we have them," Framework said in a post on X.

A spokesperson for Framework told 404 Media in an email that the company was pausing sales on their six lowest priced units in the U.S. They clarified that those models are still available to customers that are ordering the machines outside of America.

AmiMoJo writes: The Shenzhen 8K UHD Video Industry Cooperation Alliance, a group made up of more than 50 Chinese companies, just released a new wired media communication standard called the General Purpose Media Interface or GPMI. This standard was developed to support 8K and reduce the number of cables required to stream data and power from one device to another. According to HKEPC, the GPMI cable comes in two flavors -- a Type-B that seems to have a proprietary connector and a Type-C that is compatible with the USB-C standard.

Because 8K has four times the number of pixels of 4K and 16 times more pixels than 1080p resolution, it means that GPMI is built to carry a lot more data than other current standards. There are other variables that can impact required bandwidth, of course, such as color depth and refresh rate. The GPMI Type-C connector is set to have a maximum bandwidth of 96 Gbps and deliver 240 watts of power. This is more than double the 40 Gbps data limit of USB4 and Thunderbolt 4, allowing you to transmit more data on the cable. However, it has the same power limit as that of the latest USB Type-C connector using the Extended Power Range (EPR) standard. GPMI Type-B beats all other cables, though, with its maximum bandwidth of 192 Gbps and power delivery of up to 480 watts.

President Donald Trump signaled a potential diplomatic opening amid his aggressive tariff strategy on Monday, threatening China with an additional 50% tariff while simultaneously offering other nations a path to negotiate lower trade barriers.

The ultimatum to Beijing demands China withdraw a 34% increase by April 8, 2025, or face supplementary tariffs effective April 9, which would push total levies on Chinese goods to 104% or higher. Trump has already imposed a 20% tariff over fentanyl concerns and a 34% tariff related to trade issues. "Negotiations with other countries, which have requested meetings, will begin taking place immediately," Trump wrote on social media, marking a shift from the administration's previously unyielding stance.

Brain rot — the inability to think deeply after too much scrolling on a phone — afflicts "plenty of people," writes the New York Times' lead consumer technology writer. [Alternate URL here.] He's suffering from it too — "These days, it's tough to even finish a book."

But is the answer just avoiding distractions with a stripped-down $600 phone "that barely does anything"? For a week he tested the Light Phone III... The newest version, which began shipping in March and is set for a broader release in July, can place calls, send texts, take photos, show map directions, play music and podcasts and not do much else. There is no web browser. There is also no app store, meaning there's no Uber to hail a ride, no Slack and no social media. There isn't even email... There were moments I enjoyed it. While waiting for a train, resting at the gym or eating alone, I was not tempted to stare at the phone screen, and I felt more mindful of my surroundings. Phone calls sounded nice and clear. The maps app did a fine job navigating me around town.

It reminded me of simpler times when we used phones primarily to converse before putting them away to focus on other tasks. But over the week, the downsides of a dumber phone chipped away at my enjoyment, and overall I felt more stressed and less capable. I suddenly found myself unable to get into a train station, look up the name of a new restaurant or control my garage door. Some of that has less to do with the Light Phone itself, which is a so-so product, and more to do with how society as a whole has become dependent on advanced smartphone features.
For example, his old smartphone supported virtual phone-based passes for mass transit and speedy access to his gym. (And his friends made phone of the Light Phone's photos.) But at least never felt tempted to check his email when out to dinner.

"While I admire the goal of the Light Phone, my experience demonstrates there's nothing we can realistically do or buy to bring us back to simpler times. So many aspects of our lives, including getting around town, working, paying for things and controlling home appliances, revolve around our highly capable smartphones.

"This Light Phone experiment reminded me of glamping: paying a lot to have an artificially crummier experience."

"Gen Z is rediscovering Tumblr — a chaotic, cozy corner of the internet untouched by algorithmic gloss and influencer overload..." writes Fast Company, "embracing the platform as a refuge from an internet saturated with influencers and algorithm fatigue." Thanks to Gen Z, the site has found new life. As of 2025, Gen Z makes up 50% of Tumblr's active monthly users and accounts for 60% of new sign-ups, according to data shared with Business Insider's Amanda Hoover, who recently reported on the platform's resurgence. User numbers spiked in January during the near-ban of TikTok and jumped again last year when Brazil temporarily banned X. In response, Tumblr users launched dedicated communities to archive and share their favorite TikToks...

To keep up with the momentum, Tumblr introduced Reddit-style Communities in December, letting users connect over shared interests like photography and video games. In January, it debuted Tumblr TV — a TikTok-like feature that serves as both a GIF search engine and a short-form video platform. But perhaps Tumblr's greatest strength is that it isn't TikTok or Facebook. Currently the 10th most popular social platform in the U.S., according to analytics firm Similarweb, Tumblr is dwarfed by giants like Instagram and X. For its users, though, that's part of the appeal.
First launched in 2007, Tumblr peaked at over 100 million users in 2014, according to the article. Trends like Occupy Wall Street had been born on Tumblr, notes Business Insider, calling the blogging platform "Gen Z's safe space... as the rest of the social internet has become increasingly commodified, polarized, and dominated by lifestyle influencers." Tumblr was also "one of the most hyped startups in the world before fading into obsolescence — bought by Yahoo for $1.1 billion in 2013... then acquired by Verizon, and later offloaded for fractions of pennies on the dollar in a distressed sale.

"That same Tumblr, a relic of many millennials' formative years, has been having a moment among Gen Z..." "Gen Z has this romanticism of the early-2000s internet," says Amanda Brennan, an internet librarian who worked at Tumblr for seven years, leaving her role as head of content in 2021... Part of the reason young people are hanging out on old social platforms is that there's nowhere new to go. The tech industry is evolving at a slower pace than it was in the 2000s, and there's less room for disruption. Big Tech has a stranglehold on how we socialize. That leaves Gen Z to pick up the scraps left by the early online millennials and attempt to craft them into something relevant. They love Pinterest (founded in 2010) and Snapchat (2011), and they're trying out digital point-and-shoot cameras and flip phones for an early-2000s aesthetic — and learning the valuable lesson that sometimes we look better when blurrier.

More Gen Zers and millennials are signing up for Yahoo. Napster, surprising many people with its continued existence, just sold for $207 million. The trend is fueled by nostalgia for Y2K aesthetics and a longing for a time when people could make mistakes on the internet and move past them. The pandemic also brought more Gen Z users to Tumblr...

And Tumblr still works much like an older internet, where people have more control over what they see and rely less on algorithms. "You curate your own stuff; it takes a little bit of work to put everything in place, but when it's working, you see the content you want to see," Fjodor Everaerts, a 26-year-old in Belgium who has made some 250,000 posts since he joined Tumblr when he was 14... Under Automattic, Tumblr is finally in the home that serves it, [says Ari Levine, the head of brand partnerships at Tumblr]. "We've had ups and downs along the way, but we're in the most interesting position and place that we've been in 18 years," he says... And following media companies (including Business Insider) and social platforms like Reddit, Automattic in 2024 was making a deal with OpenAI and Midjourney to allow the systems to train on Tumblr posts.

"The social internet is fractured," the article argues. ("Millennials are running Reddit. Gen Xers and Baby Boomers have a home on Facebook. Bluesky, one of the new X alternatives, has a tangible elder-millennial/Gen X vibe. Gen Zers have created social apps like BeReal and the Myspace-inspired Noplace, but they've so far generated more hype than influence....")

But in a world where megaplatforms "flatten our online experiences and reward content that fits a mold," the article suggests, "smaller communities can enrich them."

It was already the best-selling videogame of all time, notes the Hollywood Reporter. And A Minecraft Movie just had the biggest opening ever for a video game movie adaptation. WIth a production budget of $150 million, it earned in $157 million in just its first weekend in the U.S., with a worldwide total of $301 million.

A Warner Bros. executive called the movie "lightning in a bottle," while the head of co-producer Legendary Pictures acknowledged the game is a global phenomon, according to the article. (About the movie's performance, the executive "said the opening is a both a reflection of the mandate to celebrate the world of Minecraft in a joyful way, and the singular experience that only theatrical can offer."

But an unfinished version leaked online before the movie was even released, reports Variety Screenshots and footage from the fantasy adventure were being shared widely on social media platforms this week, and were also available on file sharing sites. The images and scenes have uncompleted visual effects. Most of the footage was quickly taken down by the rights holders. Although pirated footage is a common problem for major film releases, it's rare to have a working print leak online in this way, raising questions about how such an early version of the movie was accessed, stolen and then shared.

"The third James Bond novel was published on this day in 1955," writes long-time Slashdot reader sandbagger. Film buff Christian Petrozza shares some history: In 1979, the market was hot amid the studios to make the next big space opera. Star Wars blew up the box office in 1977 with Alien soon following and while audiences eagerly awaited the next installment of George Lucas' The Empire Strikes Back, Hollywood was buzzing with spacesuits, lasers, and ships that cruised the stars. Politically, the Cold War between the United States and Russia was still a hot topic, with the James Bond franchise fanning the flames in the media entertainment sector. Moon missions had just finished their run in the early 70s and the space race was still generationally fresh. With all this in mind, as well as the successful run of Roger Moore's fun and campy Bond, the time seemed ripe to boldly take the globe-trotting Bond where no spy has gone before.

Thus, 1979's Moonraker blasted off to theatres, full of chrome space-suits, laser guns, and jetpacks, the franchise went full-boar science fiction to keep up with the Joneses of current Hollywood's hottest genre. The film was a commercial smash hit, grossing 210 million worldwide. Despite some mixed reviews from critics, audiences seemed jazzed about seeing James Bond in space.

When it comes to adaptations of the novella that Ian Fleming wrote of the same name, Moonraker couldn't be farther from its source material, and may as well be renamed completely to avoid any association... Ian Fleming's original Moonraker was more of a post-war commentary on the domestic fears of modern weapons being turned on Europe by enemies who were hired for science by newer foes. With Nazi scientists being hired by both the U.S. and Russia to build weapons of mass destruction after World War II, this was less of a Sci-Fi and much more of a cautionary tale.
They argue that filming a new version of Moonraker could "find a happy medium between the glamor and the grit of the James Bond franchise..."

Is OpenAI's ChatGPT violating copyrights? The New York Times sued OpenAI in December 2023. But Ars Technica summarizes OpenAI's response. The New York Times (or NYT) "should have known that ChatGPT was being trained on its articles... partly because of the newspaper's own reporting..."

OpenAI pointed to a single November 2020 article, where the NYT reported that OpenAI was analyzing a trillion words on the Internet.

But on Friday, U.S. district judge Sidney Stein disagreed, denying OpenAI's motion to dismiss the NYT's copyright claims partly based on one NYT journalist's reporting. In his opinion, Stein confirmed that it's OpenAI's burden to prove that the NYT knew that ChatGPT would potentially violate its copyrights two years prior to its release in November 2022... And OpenAI's other argument — that it was "common knowledge" that ChatGPT was trained on NYT articles in 2020 based on other reporting — also failed for similar reasons...

OpenAI may still be able to prove through discovery that the NYT knew that ChatGPT would have infringing outputs in 2020, Stein said. But at this early stage, dismissal is not appropriate, the judge concluded. The same logic follows in a related case from The Daily News, Stein ruled. Davida Brook, co-lead counsel for the NYT, suggested in a statement to Ars that the NYT counts Friday's ruling as a win. "We appreciate Judge Stein's careful consideration of these issues," Brook said. "As the opinion indicates, all of our copyright claims will continue against Microsoft and OpenAI for their widespread theft of millions of The Times's works, and we look forward to continuing to pursue them."

The New York Times is also arguing that OpenAI contributes to ChatGPT users' infringement of its articles, and OpenAI lost its bid to dismiss that claim, too. The NYT argued that by training AI models on NYT works and training ChatGPT to deliver certain outputs, without the NYT's consent, OpenAI should be liable for users who manipulate ChatGPT to regurgitate content in order to skirt the NYT's paywalls... At this stage, Stein said that the NYT has "plausibly" alleged contributory infringement, showing through more than 100 pages of examples of ChatGPT outputs and media reports showing that ChatGPT could regurgitate portions of paywalled news articles that OpenAI "possessed constructive, if not actual, knowledge of end-user infringement." Perhaps more troubling to OpenAI, the judge noted that "The Times even informed defendants 'that their tools infringed its copyrighted works,' supporting the inference that defendants possessed actual knowledge of infringement by end users."

Web crawlers collecting training data for AI models are overwhelming Wikipedia's infrastructure, with bot traffic growing exponentially since early 2024, according to the Wikimedia Foundation. According to data released April 1, bandwidth for multimedia content has surged 50% since January, primarily from automated programs scraping Wikimedia Commons' 144 million openly licensed media files.

This unprecedented traffic is causing operational challenges for the non-profit. When Jimmy Carter died in December 2024, his Wikipedia page received 2.8 million views in a day, while a 1.5-hour video of his 1980 presidential debate caused network traffic to double, resulting in slow page loads for some users.

Analysis shows 65% of the foundation's most resource-intensive traffic comes from bots, despite bots accounting for only 35% of total pageviews. The foundation's Site Reliability team now routinely blocks overwhelming crawler traffic to prevent service disruptions. "Our content is free, our infrastructure is not," the foundation said, announcing plans to establish sustainable boundaries for automated content consumption.

Hackers targeting Australia's major pension funds in a series of coordinated attacks have stolen savings from some members at the biggest fund, Reuters is reporting, citing a source, and compromised more than 20,000 accounts. From the report: National Cyber Security Coordinator Michelle McGuinness said in a statement she was aware of "cyber criminals" targeting accounts in the country's A$4.2 trillion ($2.63 trillion) retirement savings sector and was organising a response across the government, regulators and industry. The Association of Superannuation Funds of Australia, the industry body, said "a number" of funds were impacted over the weekend. While the full scale of the incident remains unclear, AustralianSuper, Australian Retirement Trust, Rest, Insignia and Hostplus on Friday all confirmed they suffered breaches.

An anonymous reader quotes a report from Ars Technica, written by Ryan Whitwam: Researchers at DeepMind have ... released a new technical paper (PDF) that explains how to develop AGI safely, which you can download at your convenience. It contains a huge amount of detail, clocking in at 108 pages before references. While some in the AI field believe AGI is a pipe dream, the authors of the DeepMind paper project that it could happen by 2030. With that in mind, they aimed to understand the risks of a human-like synthetic intelligence, which they acknowledge could lead to "severe harm." This work has identified four possible types of AGI risk, along with suggestions on how we might ameliorate said risks. The DeepMind team, led by company co-founder Shane Legg, categorized the negative AGI outcomes as misuse, misalignment, mistakes, and structural risks.

The first possible issue, misuse, is fundamentally similar to current AI risks. However, because AGI will be more powerful by definition, the damage it could do is much greater. A ne'er-do-well with access to AGI could misuse the system to do harm, for example, by asking the system to identify and exploit zero-day vulnerabilities or create a designer virus that could be used as a bioweapon. DeepMind says companies developing AGI will have to conduct extensive testing and create robust post-training safety protocols. Essentially, AI guardrails on steroids. They also suggest devising a method to suppress dangerous capabilities entirely, sometimes called "unlearning," but it's unclear if this is possible without substantially limiting models. Misalignment is largely not something we have to worry about with generative AI as it currently exists. This type of AGI harm is envisioned as a rogue machine that has shaken off the limits imposed by its designers. Terminators, anyone? More specifically, the AI takes actions it knows the developer did not intend. DeepMind says its standard for misalignment here is more advanced than simple deception or scheming as seen in the current literature.

To avoid that, DeepMind suggests developers use techniques like amplified oversight, in which two copies of an AI check each other's output, to create robust systems that aren't likely to go rogue. If that fails, DeepMind suggests intensive stress testing and monitoring to watch for any hint that an AI might be turning against us. Keeping AGIs in virtual sandboxes with strict security and direct human oversight could help mitigate issues arising from misalignment. Basically, make sure there's an "off" switch. If, on the other hand, an AI didn't know that its output would be harmful and the human operator didn't intend for it to be, that's a mistake. We get plenty of those with current AI systems -- remember when Google said to put glue on pizza? The "glue" for AGI could be much stickier, though. DeepMind notes that militaries may deploy AGI due to "competitive pressure," but such systems could make serious mistakes as they will be tasked with much more elaborate functions than today's AI. The paper doesn't have a great solution for mitigating mistakes. It boils down to not letting AGI get too powerful in the first place. DeepMind calls for deploying slowly and limiting AGI authority. The study also suggests passing AGI commands through a "shield" system that ensures they are safe before implementation.

Lastly, there are structural risks, which DeepMind defines as the unintended but real consequences of multi-agent systems contributing to our already complex human existence. For example, AGI could create false information that is so believable that we no longer know who or what to trust. The paper also raises the possibility that AGI could accumulate more and more control over economic and political systems, perhaps by devising heavy-handed tariff schemes. Then one day, we look up and realize the machines are in charge instead of us. This category of risk is also the hardest to guard against because it would depend on how people, infrastructure, and institutions operate in the future.

Despite promises of more efficient streaming, the AV1 video codec hasn't achieved widespread adoption seven years after its 2018 debut, even with backing from tech giants Netflix, Microsoft, Google, Amazon, and Meta. The Alliance for Open Media (AOMedia) claims AV1 is 30% more efficient than standards like HEVC, delivering higher-quality video at lower bandwidth while remaining royalty-free.

Major services including YouTube, Netflix, and Amazon Prime Video have embraced the technology, with Netflix encoding approximately 95% of its content using AV1. However, adoption faces significant hurdles. Many streaming platforms including Max, Peacock, and Paramount Plus haven't implemented AV1, partly due to hardware limitations. Devices require specific decoders to properly support AV1, though recent products from Apple, Nvidia, AMD, and Intel have begun including them. "In order to get its best features, you have to accept a much higher encoding complexity," Larry Pearlstein, associate professor at the College of New Jersey, told The Verge. "But there is also higher decoding complexity, and that is on the consumer end."

An anonymous reader quotes a report from 404 Media: A "vibe coded" AI app developed by entrepreneur and Y Combinator group partner Tom Blomfield has generated recipes that gave users instruction on how to make "Cyanide Ice Cream," "Thick White Cum Soup," and "Uranium Bomb," using those actual substances as ingredients. Vibe coding, in case you are unfamiliar, is the new practice where people, some with limited coding experience, rapidly develop software with AI assisted coding tools without overthinking how efficient the code is as long as it's functional. This is how Blomfield said he made RecipeNinja.AI. [...] The recipe for Cyanide Ice Cream was still live on RecipeNinja.AI at the time of writing, as are recipes for Platypus Milk Cream Soup, Werewolf Cream Glazing, Cholera-Inspired Chocolate Cake, and other nonsense. Other recipes for things people shouldn't eat have been removed.

It also appears that Blomfield has introduced content moderation since users discovered they could generate dangerous or extremely stupid recipes. I wasn't able to generate recipes for asbestos cake, bullet tacos, or glue pizza. I was able to generate a recipe for "very dry tacos," which looks not very good but not dangerous. In a March 20 blog on his personal site, Blomfield explained that he's a startup founder turned investor, and while he has experience with PHP and Ruby on Rails, he has not written a line of code professionally since 2015. "In my day job at Y Combinator, I'm around founders who are building amazing stuff with AI every day and I kept hearing about the advances in tools like Lovable, Cursor and Windsurf," he wrote, referring to AI-assisted coding tools. "I love building stuff and I've always got a list of little apps I want to build if I had more free time."

After playing around with them, he wrote, he decided to build RecipeNinja.AI, which can take a prompt as simple as "Lasagna," and generate an image of the finished dish along with a step-by-stape recipe which can use ElevenLabs's AI generated voice to narrate the instruction so the user doesn't have to interact with a device with his tomato sauce-covered fingers. "I was pretty astonished that Windsurf managed to integrate both the OpenAI and Elevenlabs APIs without me doing very much at all," Blomfield wrote. "After we had a couple of problems with the open AI Ruby library, it quickly fell back to a raw ruby HTTP client implementation, but I honestly didn't care. As long as it worked, I didn't really mind if it used 20 lines of code or two lines of code." Having some kind of voice controlled recipe app sounds like a pretty good idea to me, and it's impressive that Blomfield was able to get something up and running so fast given his limited coding experience. But the problem is that he also allowed users to generate their own recipes with seemingly very few guardrails on what kind of recipes are and are not allowed, and that the site kept those results and showed them to other users.

An anonymous reader quotes a report from Ars Technica: Europol has shut down one of the largest dark web pedophile networks in the world, prompting dozens of arrests worldwide and threatening that more are to follow. Launched in 2021, KidFlix allowed users to join for free to preview low-quality videos depicting child sex abuse materials (CSAM). To see higher-resolution videos, users had to earn credits by sending cryptocurrency payments, uploading CSAM, or "verifying video titles and descriptions and assigning categories to videos."

Europol seized the servers and found a total of 91,000 unique videos depicting child abuse, "many of which were previously unknown to law enforcement," the agency said in a press release. KidFlix going dark was the result of the biggest child sexual exploitation operation in Europol's history, the agency said. Operation Stream, as it was dubbed, was supported by law enforcement in more than 35 countries, including the United States. Nearly 1,400 suspected consumers of CSAM have been identified among 1.8 million global KidFlix users, and 79 have been arrested so far. According to Europol, 39 child victims were protected as a result of the sting, and more than 3,000 devices were seized.

Police identified suspects through payment data after seizing the server. Despite cryptocurrencies offering a veneer of anonymity, cops were apparently able to use sophisticated methods to trace transactions to bank details. And in some cases cops defeated user attempts to hide their identities -- such as a man who made payments using his mother's name in Spain, a local news outlet, Todo Alicante, reported. It likely helped that most suspects were already known offenders, Europol noted. Arrests spanned the globe, including 16 in Spain, where one computer scientist was found with an "abundant" amount of CSAM and payment receipts, Todo Alicante reported. Police also arrested a "serial" child abuser in the US, CBS News reported.

The European Commission has announced its intention to join the ongoing debate about lawful access to data and end-to-end encryption while unveiling a new internal security strategy aimed to address ongoing threats. From a report: ProtectEU, as the strategy has been named, describes the general areas that the bloc's executive would like to address in the coming years although as a strategy it does not offer any detailed policy proposals. In what the Commission called "a changed security environment and an evolving geopolitical landscape," it said Europe needed to "review its approach to internal security."

Among its aims is establishing Europol as "a truly operational police agency to reinforce support to Member States," something potentially comparable to the U.S. FBI, with a role "in investigating cross-border, large-scale, and complex cases posing a serious threat to the internal security of the Union." Alongside the new Europol, the Commission said it would create roadmaps regarding both the "lawful and effective access to data for law enforcement" and on encryption.

An anonymous reader shares a report: Amazon has put in a last-minute bid to acquire all of TikTok, the popular video app, as it approaches an April deadline to be separated from its Chinese owner or face a ban in the United States, according to three people familiar with the bid.

Various parties who have been involved in the talks do not appear to be taking Amazon's bid seriously, the people said. The bid came via an offer letter addressed to Vice President JD Vance and Howard Lutnick, the commerce secretary, according to a person briefed on the matter. Amazon's bid highlights the 11th-hour maneuvering in Washington over TikTok's ownership. Policymakers in both parties have expressed deep national security concerns over the app's Chinese ownership, and passed a law last year to force a sale of TikTok that was set to take effect in January.

A new paper [PDF] from the AI Disclosures Project claims OpenAI likely trained its GPT-4o model on paywalled O'Reilly Media books without a licensing agreement. The nonprofit organization, co-founded by O'Reilly Media CEO Tim O'Reilly himself, used a method called DE-COP to detect copyrighted content in language model training data.

Researchers analyzed 13,962 paragraph excerpts from 34 O'Reilly books, finding that GPT-4o "recognized" significantly more paywalled content than older models like GPT-3.5 Turbo. The technique, also known as a "membership inference attack," tests whether a model can reliably distinguish human-authored texts from paraphrased versions.

"GPT-4o [likely] recognizes, and so has prior knowledge of, many non-public O'Reilly books published prior to its training cutoff date," wrote the co-authors, which include O'Reilly, economist Ilan Strauss, and AI researcher Sruly Rosenblat.