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.

Circle, the issuer of the USDC stablecoin, has filed for an IPO aiming for a $5 billion valuation. It marks the company's second attempt at going public amid renewed momentum in the crypto sector and signs of recovery in tech IPO markets. CNBC reports: A prior merger with a special purpose acquisition company (SPAC) collapsed in late 2022 amid regulatory challenges. Since then, Circle has made strategic moves to position itself closer to the heart of global finance, including the announcement last year that it would relocate its headquarters from Boston to One World Trade Center in New York.

Circle reported $1.68 billion in revenue and reserve income in 2024, up from $1.45 billion in 2023 and $772 million in 2022. The company reported net income last year of about $156 million., down from $268 million a year earlier. A successful IPO would make Circle one of the most prominent pure-play crypto companies to list on a U.S. exchange. Coinbase went public through a direct listing in 2021 and has a market cap of about $44 billion.

MoffettNathanson has crowned YouTube the "New King of All Media" as the Alphabet-owned video platform has become a major force in Hollywood, dominating time spent watching TV. From a report: The firm estimates that YouTube as a standalone business could be worth as much as $550 billion -- or nearly 30% of the tech giant's current valuation. The figure is based on the firm's analysis of enterprise value as a multiple of revenue in 2024 for Netflix (10.5x revenue), Meta (8.8x), Roku (2.4x), Warner Bros. Discovery (1.4x), Fox (1.3x) and Disney (1.3x).

In 2024, YouTube was the second-largest media company by revenue at $54.2 billion, trailing behind only Disney. However, the MoffettNathanson analysts predict YouTube will take the top spot in 2025, becoming a leader in both engagement and revenue. "YouTube has the potential to become the central aggregator for all things professional video, positioning itself to capture a share of the $85 billion consumer Pay TV market and the ~$30 billion streaming ex. Netflix market in the U.S.," they wrote in a Monday research note. "On monetization, when comparing YouTube's massive TV screen engagement to its estimated TV revenue, it remains significantly under-monetized relative to its scaled reach and differentiated offering. This signals a substantial runway for improving its monetization strategy."

An anonymous reader quotes a report from Ars Technica: What does it take to get OpenAI and Anthropic -- two competitors in the AI assistant market -- to get along? Despite a fundamental difference in direction that led Anthropic's founders to quit OpenAI in 2020 and later create the Claude AI assistant, a shared technical hurdle has now brought them together: How to easily connect their AI models to external data sources. The solution comes from Anthropic, which developed and released an open specification called Model Context Protocol (MCP) in November 2024. MCP establishes a royalty-free protocol that allows AI models to connect with outside data sources and services without requiring unique integrations for each service.

"Think of MCP as a USB-C port for AI applications," wrote Anthropic in MCP's documentation. The analogy is imperfect, but it represents the idea that, similar to how USB-C unified various cables and ports (with admittedly a debatable level of success), MCP aims to standardize how AI models connect to the infoscape around them. So far, MCP has also garnered interest from multiple tech companies in a rare show of cross-platform collaboration. For example, Microsoft has integrated MCP into its Azure OpenAI service, and as we mentioned above, Anthropic competitor OpenAI is on board. Last week, OpenAI acknowledged MCP in its Agents API documentation, with vocal support from the boss upstairs. "People love MCP and we are excited to add support across our products," wrote OpenAI CEO Sam Altman on X last Wednesday.

MCP has also rapidly begun to gain community support in recent months. For example, just browsing this list of over 300 open source servers shared on GitHub reveals growing interest in standardizing AI-to-tool connections. The collection spans diverse domains, including database connectors like PostgreSQL, MySQL, and vector databases; development tools that integrate with Git repositories and code editors; file system access for various storage platforms; knowledge retrieval systems for documents and websites; and specialized tools for finance, health care, and creative applications. Other notable examples include servers that connect AI models to home automation systems, real-time weather data, e-commerce platforms, and music streaming services. Some implementations allow AI assistants to interact with gaming engines, 3D modeling software, and IoT devices.

Google's AI arm DeepMind has been holding back the release of its world-renowned research, as it seeks to retain a competitive edge in the race to dominate the burgeoning AI industry. From a report: The group, led by Nobel Prize-winner Sir Demis Hassabis, has introduced a tougher vetting process and more bureaucracy that made it harder to publish studies about its work on AI, according to seven current and former research scientists at Google DeepMind. Three former researchers said the group was most reluctant to share papers that reveal innovations that could be exploited by competitors, or cast Google's own Gemini AI model in a negative light compared with others.

The changes represent a significant shift for DeepMind, which has long prided itself on its reputation for releasing groundbreaking papers and as a home for the best scientists building AI. Meanwhile, huge breakthroughs by Google researchers -- such as its 2017 "transformers" paper that provided the architecture behind large language models -- played a central role in creating today's boom in generative AI. Since then, DeepMind has become a central part of its parent company's drive to cash in on the cutting-edge technology, as investors expressed concern that the Big Tech group had ceded its early lead to the likes of ChatGPT maker OpenAI.

"I cannot imagine us putting out the transformer papers for general use now," said one current researcher. Among the changes in the company's publication policies is a six-month embargo before "strategic" papers related to generative AI are released. Researchers also often need to convince several staff members of the merits of publication, said two people with knowledge of the matter.

An anonymous reader quotes a report from Reuters: China's Xiaomi said on Tuesday that it was actively cooperating with police after a fatal accident involving a SU7 electric vehicle on March 29 and that it had handed over driving and system data. The incident marks the first major accident involving the SU7 sedan, which Xiaomi launched in March last year and since December has outsold Tesla's Model 3 on a monthly basis. Xiaomi's shares, which had risen by 34.8% year to date, closed down 5.5% on Wednesday, underperforming a 0.2% gain in the Hang Seng Tech index. Xiaomi did not disclose the number of casualties but said initial information showed the car was in the Navigate on Autopilot intelligent-assisted driving mode before the accident and was moving at 116 kph (72 mph).

A driver inside the car took over and tried to slow it down but then collided with a cement pole at a speed of 97 kph, Xiaomi said. The accident in Tongling in the eastern Chinese province of Anhui killed the driver and two passengers, Chinese financial publication Caixin reported on Tuesday citing friends of the victims. In a rundown of the data submitted to local police posted on a Weibo account of the company, Xiaomi said NOA issued a risk warning of obstacles ahead and its subsequent immediate takeover only happened seconds before the collision. Local media reported that the car caught fire after the collision. Xiaomi did not mention the fire in the statement. The report notes that the car was a "so-called standard version of the SU7, which has the less-advanced smart driving technology without LiDAR."

Anthropic announced updates to the "responsible scaling" policy for its AI, including defining which of its model safety levels are powerful enough to need additional security safeguards. In an earlier version of its responsible scaling policy, Anthropic said it will start sweeping physical offices for hidden devices as part of a ramped-up security effort as the AI race intensifies. From a report: The company, backed by Amazon and Google, published safety and security updates in a blog post on Monday, and said it also plans to establish an executive risk council and build an in-house security team. Anthropic closed its latest funding round earlier this month at a $61.5 billion valuation, which makes it one of the highest-valued AI startups.

In addition to high-growth startups, tech giants including Google, Amazon and Microsoft are racing to announce new products and features. Competition is also coming from China, a risk that became more evident earlier this year when DeepSeek's AI model went viral in the U.S. Anthropic said in the post that it will introduce "physical" safety processes, such as technical surveillance countermeasures -- or the process of finding and identifying surveillance devices that are used to spy on organizations. The sweeps will be conducted "using advanced detection equipment and techniques" and will look for "intruders." CNBC corrected that story to note that it had written about previous security safeguards Anthropic shared in October 2024. On Monday, Anthropic defined model capabilities that would require additional deployment and security safeguards beyond AI Safety Level (ASL) 3.

Taiwanese authorities have accused 11 Chinese companies, including SMIC, of secretly setting up disguised entities in Taiwan to illegally recruit tech talent from firms like Intel and Microsoft. The Register reports: One of those companies is apparently called Yunhe Zhiwang (Shanghai) Technology Co., Ltd and develops high-end network chips. The Bureau claims its chips are used in China's "Data East, Compute West" strategy that, as we reported when it was announced in 2022, calls for five million racks full of kit to be moved from China's big cities in the east to new datacenters located near renewable energy sources in country's west. Datacenters in China's east will be used for latency-sensitive applications, while heavy lifting takes place in the west. Staff from Intel and Microsoft were apparently lured to work for Yunhe Zhiwang, which disguised its true ownership by working through a Singaporean company.

The Investigation Bureau also alleged that China's largest chipmaker, Semiconductor Manufacturing International Corporation (SMIC), used a Samoan company to establish a presence in Taiwan and then hired local talent. That's a concerning scenario as SMIC is on the USA's "entity list" of organizations felt to represent a national security risk. The US gets tetchy when its friends and allies work with companies on the entity list.

A third Chinese entity, Shenzhen Tongrui Microelectronics Technology, disguised itself so well Taiwan's Ministry of Industry and Information Technology lauded it as an important innovator and growth company. As a result of the Bureau's work, prosecutors' offices in seven Taiwanese cities are now looking into 11 Chinese companies thought to have hidden their ties to Beijing.

An anonymous reader shares a report: Microsoft has closed its IoT & AI Insider Lab in Shanghai's Zhangjiang hi-tech zone, marking the latest sign of the US tech giant's retreat from China amid rising geopolitical tensions.

The Shanghai lab, meant to help with domestic development of the Internet of Things (IoT) and artificial intelligence (AI) technologies, closed earlier this year, according to people who work in the Zhangjiang AI Island area. Opened in May 2019, Microsoft's IoT & AI Insider Lab was touted as a flagship collaboration between the global tech giant and Zhangjiang, the innovation hub of Shanghai's Pudong district, where numerous domestic and international semiconductor and AI companies have set up shop. The lab covered roughly 2,800 square meters (30,000 square feet).

Learning to code has become sort of become pointless as AI increasingly dominates programming tasks, said Replit founder and chief executive Amjad Masad. "I no longer think you should learn to code," Masad wrote on X.

The statement comes as major tech executives report significant AI inroads into software development. Google CEO Sundar Pichai recently revealed that 25% of new code at the tech giant is AI-generated, though still reviewed by engineers. Furthermore, Anthropic CEO Dario Amodei predicted AI could generate up to 90% of all code within six months.

Masad called this shift a "bittersweet realization" after spending years popularizing coding through open-source work, Codecademy, and Replit -- a platform that now uses AI to help users build apps and websites. Instead of syntax-focused programming skills, Masad recommends learning "how to think, how to break down problems... how to communicate clearly, with humans and with machines."

The U.S. and China "are racing to build a truly useful humanoid worker," the Wall Street Journal wrote Saturday, adding that "Whoever wins could gain a huge edge in countless industries."

"The time has come for robots," Nvidia's chief executive said at a conference in March, adding "This could very well be the largest industry of all." China's government has said it wants the country to be a world leader in humanoid robots by 2027. "Embodied" AI is listed as a priority of a new $138 billion state venture investment fund, encouraging private-sector investors and companies to pile into the business. It looks like the beginning of a familiar tale. Chinese companies make most of the world's EVs, ships and solar panels — in each case, propelled by government subsidies and friendly regulations. "They have more companies developing humanoids and more government support than anyone else. So, right now, they may have an edge," said Jeff Burnstein [president of the Association for Advancing Automation, a trade group in Ann Arbor, Michigan]....

Humanoid robots need three-dimensional data to understand physics, and much of it has to be created from scratch. That is where China has a distinct edge: The country is home to an immense number of factories where humanoid robots can absorb data about the world while performing tasks. "The reason why China is making rapid progress today is because we are combining it with actual applications and iterating and improving rapidly in real scenarios," said Cheng Yuhang, a sales director with Deep Robotics, one of China's robot startups. "This is something the U.S. can't match." UBTech, the startup that is training humanoid robots to sort and carry auto parts, has partnerships with top Chinese automakers including Geely... "A problem can be solved in a month in the lab, but it may only take days in a real environment," said a manager at UBTech...

With China's manufacturing prowess, a locally built robot could eventually cost less than half as much as one built elsewhere, said Ming Hsun Lee, a Bank of America analyst. He said he based his estimates on China's electric-vehicle industry, which has grown rapidly to account for roughly 70% of global EV production. "I think humanoid robots will be another EV industry for China," he said. The UBTech robot system, called Walker S, currently costs hundreds of thousands of dollars including software, according to people close to the company. UBTech plans to deliver 500 to 1,000 of its Walker S robots to clients this year, including the Apple supplier Foxconn. It hopes to increase deliveries to more than 10,000 in 2027.

Few companies outside China have started selling AI-powered humanoid robots. Industry insiders expect the competition to play out over decades, as the robots tackle more-complicated environments, such as private homes.
The article notes "several" U.S. humanoid robot producers, including the startup Figure. And robots from Amazon's Agility Robotics have been tested in Amazon warehouses since 2023. "The U.S. still has advantages in semiconductors, software and some precision components," the article points out.

But "Some lawmakers have urged the White House to ban Chinese humanoids from the U.S. and further restrict Chinese robot makers' access to American technology, citing national-security concerns..."