An anonymous reader quotes a report from the Associated Press: It took only seconds for the judges on a New York appeals court to realize that the man addressing them from a video screen -- a person about to present an argument in a lawsuit -- not only had no law degree, but didn't exist at all. The latest bizarre chapter in the awkward arrival of artificial intelligence in the legal world unfolded March 26 under the stained-glass dome of New York State Supreme Court Appellate Division's First Judicial Department, where a panel of judges was set to hear from Jerome Dewald, a plaintiff in an employment dispute. "The appellant has submitted a video for his argument," said Justice Sallie Manzanet-Daniels. "Ok. We will hear that video now."

On the video screen appeared a smiling, youthful-looking man with a sculpted hairdo, button-down shirt and sweater. "May it please the court," the man began. "I come here today a humble pro se before a panel of five distinguished justices." "Ok, hold on," Manzanet-Daniels said. "Is that counsel for the case?" "I generated that. That's not a real person," Dewald answered. It was, in fact, an avatar generated by artificial intelligence. The judge was not pleased. "It would have been nice to know that when you made your application. You did not tell me that sir," Manzanet-Daniels said before yelling across the room for the video to be shut off. "I don't appreciate being misled," she said before letting Dewald continue with his argument.

Dewald later penned an apology to the court, saying he hadn't intended any harm. He didn't have a lawyer representing him in the lawsuit, so he had to present his legal arguments himself. And he felt the avatar would be able to deliver the presentation without his own usual mumbling, stumbling and tripping over words. In an interview with The Associated Press, Dewald said he applied to the court for permission to play a prerecorded video, then used a product created by a San Francisco tech company to create the avatar. Originally, he tried to generate a digital replica that looked like him, but he was unable to accomplish that before the hearing. "The court was really upset about it," Dewald conceded. "They chewed me up pretty good." [...] As for Dewald's case, it was still pending before the appeals court as of Thursday.

An anonymous reader shares a report: AI is projected to reach $4.8 trillion in market value by 2033, but the technology's benefits remain highly concentrated, according to the U.N. Trade and Development agency. In a report released on Thursday, UNCTAD said the AI market cap would roughly equate to the size of Germany's economy, with the technology offering productivity gains and driving digital transformation. However, the agency also raised concerns about automation and job displacement, warning that AI could affect 40% of jobs worldwide. On top of that, AI is not inherently inclusive, meaning the economic gains from the tech remain "highly concentrated," the report added.

"The benefits of AI-driven automation often favour capital over labour, which could widen inequality and reduce the competitive advantage of low-cost labour in developing economies," it said. The potential for AI to cause unemployment and inequality is a long-standing concern, with the IMF making similar warnings over a year ago. In January, The World Economic Forum released findings that as many as 41% of employers were planning on downsizing their staff in areas where AI could replicate them. However, the UNCTAD report also highlights inequalities between nations, with U.N. data showing that 40% of global corporate research and development spending in AI is concentrated among just 100 firms, mainly those in the U.S. and China.

Camera manufacturers continue to use different proprietary RAW file formats despite the 20-year existence of Adobe's open-source DNG (Digital Negative) format, creating ongoing compatibility challenges for photographers and software developers.

Major manufacturers including Sony, Canon, and Panasonic defended their proprietary formats as necessary for maintaining control over image processing. Sony's product team told The Verge their ARW format allows them "to maximize performance based on device characteristics such as the image sensor and image processing engine." Canon similarly claims proprietary formats enable "optimum processing during image development."

The Verge argues that this fragmentation forces editing software to specifically support each manufacturer's format and every new camera model -- creating delays for early adopters when new cameras launch. Each new device requires "measuring sensor characteristics such as color and noise," said Adobe's Eric Chan.

For what it's worth, smaller manufacturers like Ricoh, Leica, and Sigma have adopted DNG, which streamlines workflow by containing metadata directly within a single file rather than requiring separate XMP sidecar files.

An anonymous reader quotes a report from Reuters: Visa has offered Apple roughly $100 million to take over the tech giant's credit card partnership from Mastercard, the Wall Street Journal reported on Tuesday, citing sources familiar with the matter. Visa has made a bold push to secure the Apple Card, offering an upfront payment typically reserved for the largest card programs, WSJ reported. American Express is also trying to unseat Mastercard to win the Apple card. Amex is looking to become the card's issuer as well as the network, the report said, citing the sources. Goldman Sachs ended its partnership with Apple in late 2023 as the Wall Street bank retreated from consumer lending.

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.

U.S. stock markets suffered their worst day since the Covid pandemic after Donald Trump announced sweeping new tariffs, triggering a global selloff and wiping out $470 billion in value from tech giants Apple and Nvidia. From a report: The tech-heavy Nasdaq fell 6%, while the S&P 500 and the Dow dropped 4.8% and 3.9%, respectively. [...] Meanwhile, the US dollar hit a six-month low, going down at least 2.2% on Thursday morning compared with other major currencies and oil prices sank on fears of a global slowdown. Though the US stock market has been used to tumultuous mornings over the last few weeks, US stock futures -- an indication of the market's likely direction -- had plummeted after the announcement. Hours later, Japan's Nikkei index slumped to an eight-month low and was followed by falls in stock markets in London and across Europe.

Multiple major American business groups have spoken out against the tariffs, including the Business Roundtable, a consortium of leaders of major US companies including JP Morgan, Apple and IBM, which called on the White House to "swiftly reach agreements" and remove the tariffs. "Universal tariffs ranging from 10-50% run the risk of causing major harm to American manufacturers, workers, families and exporters," the Business Roundtable said in a statement. "Damage to the US economy will increase the longer the tariffs are in place and may be exacerbated by retaliatory measures."

Intel has unveiled a refresh of its iconic brand identity, introducing the slogan "That's the power of Intel Inside" to reconnect with consumers and highlight the chipmaker's role in modern computing. The new campaign resurrects the familiar "Intel Inside" theme that helped transform the company into a household name in the 1990s, when Intel's marketing strategy directly targeted consumers rather than system designers.

Brett Hannath, Intel's chief marketing officer, said the message reflects the company's belief that its products can unlock potential for employees, customers, consumers and partners. The original "Intel Inside" campaign, launched in 1991, revolutionized tech marketing by making processors a key selling point for PCs with its recognizable sticker and five-note jingle. The strategy helped Intel differentiate itself from competitors like AMD and Cyrix during the PC market explosion.

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."

databasecowgirl writes: Commenting in The Times on the absurdity of Meta's copyright infringement claims, Caitlin Moran defines Schrodinger's economics: where a company is both [one of] the most valuable on the planet yet also too poor to pay for the materials it profits from.

Ultimately "move fast and break things" means breaking other people's things. Or, possibly worse, going full 'The Talented Mr Ripley': slowly feeling so entitled to the things you are enamored of that you end up clubbing out the brains of your beloved in a boat.

Microsoft has pulled back on data center projects around the world, suggesting the company is taking a harder look at its plans to build the server farms powering artificial intelligence and the cloud. From a report: The software company has recently halted talks for, or delayed development of, sites in Indonesia, the UK, Australia, Illinois, North Dakota and Wisconsin, according to people familiar with the situation. Microsoft is widely seen as a leader in commercializing AI services, largely thanks to its close partnership with OpenAI. Investors closely track Microsoft's spending plans to get a sense of long-term customer demand for cloud and AI services.

It's hard to know how much of the company's data center pullback reflects expectations of diminished demand versus temporary construction challenges, such as shortages of power and building materials. Some investors have interpreted signs of retrenchment as an indication that projected purchases of AI services don't justify Microsoft's massive outlays on server farms. Those concerns have weighed on global tech stocks in recent weeks, particularly chipmakers like Nvidia which suck up a significant share of data center budgets.

A joint investigation found that at least five popular VPN apps on the App Store and Google Play have ties to Qihoo 360, a Chinese company with military links. Apple has since removed two of the apps but has not confirmed the status of the remaining three, which 9to5Mac notes have "racked up more than a million downloads." The five apps in question are Turbo VPN, VPN Proxy Master, Thunder VPN, Snap VPN, and Signal Secure VPN (not associated with the Signal messaging app). The Financial Times reports: At least five free virtual private networks (VPNs) available through the US tech groups' app stores have links to Shanghai-listed Qihoo 360, according to a new report by research group Tech Transparency Project, as well as additional findings by the Financial Times. Qihoo, formally known as 360 Security Technology, was sanctioned by the US in 2020 for alleged Chinese military links. The US Department of Defense later added Qihoo to a list of Chinese military-affiliated companies [...] In recent recruitment listings, Guangzhou Lianchuang says its apps operate in more than 220 countries and that it has 10mn daily users. It is currently hiring for a position whose responsibilities include "monitoring and analyzing platform data." The right candidate will be "well-versed in American culture," the posting says.

According to Bloomberg, India is set for a surge in tech startup IPOs valued at around $100 billion by 2027, with major players like Flipkart, PhonePe, and Oyo preparing to go public. From a report: A report from Indian investment bank The Rainmaker Group suggests that the new wave of IPO hopefuls is in a stronger financial position than their predecessors. Many of the startups that were listed during the 2021-2022 boom struggled post-IPO, with fintech firm Paytm losing roughly 63% of its value and beauty retailer Nykaa slipping 4% since going public.

"The financial health of companies set to list in the next two years is significantly better than those that went public earlier," said Kashyap Chanchani, managing partner at Rainmaker. He noted that two-thirds of the firms eyeing IPOs are already profitable and have improved transparency, making them more attractive to investors.

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.

Newcomer: Keith O'Brien, the man who allegedly spied for Deel while working at Rippling, is apparently clearing his conscience, according to a sworn Irish affidavit. O'Brien says in the affidavit that Deel paid him to spy on Rippling and that he coordinated directly with Deel's CEO, Alex Bouaziz.

For some background, Alex Bouaziz is Deel's CEO and Philippe Bouaziz is his father, Deel's CFO. Rippling, which competes directly with Deel, has sued Deel over the alleged spying. O'Brien says in the affidavit: I decided to cooperate after I got a text from a friend on March 25, 2025 saying, "the truth will set you free." I was also driving with a family member to meet my solicitors and she told me that if I had done something wrong that I should "just tell the truth." I was having bad thoughts at the time; it was a horrible time for me. I was getting sick concealing this lie. I realised that I was harming myself and my family to protect Deel. I was concerned, and I am still concerned, about how wealthy and powerful Alex and Philippe are, but I know that what I was doing was wrong. After I spoke with my solicitors at Fenecas Law, I started to feel a sense of relief. I want to do what I can to start making amends and righting these wrongs. Deel CEO allegedly agreed to pay O'Brien 5000 euros a month.

Tech manufacturers continue misleading consumers with impressive-sounding but less useful specs like milliamp-hours and megahertz, while hiding the one measurement that matters most: watts. The Verge argues that the watt provides the clearest picture of a device's true capabilities by showing how much power courses through chips and how quickly batteries drain. With elementary math, consumers could easily calculate battery life by dividing watt-hours by power consumption. The Verge: The Steam Deck gaming handheld is my go-to example of how handy watts can be. With a 15-watt maximum processor wattage and up to 9 watts of overhead for other components, a strenuous game drains its 49Wh battery in roughly two hours flat. My eight-year-old can do that math: 15 plus 9 is 24, and 24 times 2 is 48. You can fit two hour-long 24-watt sessions into 48Wh, and because you have 49Wh, you're almost sure to get it.

With the least strenuous games, I'll sometimes see my Steam Deck draining the battery at a speed of just 6 watts -- which means I can get eight hours of gameplay because 6 watts times 8 hours is 48Wh, with 1Wh remaining in the 49Wh battery. Unlike megahertz, wattage also indicates sustained performance capability, revealing whether a processor can maintain high speeds or will throttle due to thermal constraints. Watts is also already familiar to consumers through light bulbs and power bills, but manufacturers persist with less transparent metrics that make direct comparisons difficult.