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."

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Britain's flagship AI agency will slash the number of projects it backs and prioritize work on defense, environment and health as it seeks to respond to technological advances and criticism of its record. From a report: The Alan Turing Institute -- named after the pioneering British computer scientist -- will shut or offload almost a quarter of its 101 current initiatives and is considering job cuts as part of a change programme that led scores of staff to write a letter expressing their loss of confidence in the leadership in December. Jean Innes, appointed chief executive in July 2023, argued that huge advances in AI meant the Turing needed to modernise after being founded as a national data science institute by David Cameron's government a decade ago this month. "The Turing has chalked up some really great achievements," Innes said in an interview. "[But we need] a big strategic shift to a much more focused agenda on a small number of problems that have an impact in the real world." A review last year by UK Research and Innovation, the government funding body, found "a clear need for the governance and leadership structure of the Institute to evolve." It called for a move away from the dominance of universities to a structure more representative of AI in UK.

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Many years ago, JP joined a Ruby project. This was in the heyday of Ruby, when every startup on Earth was using it, and if you weren't building your app on Rails, were you even building an app?

Now, Ruby offers a lot of flexibility. One might argue that it offers too much flexibility, especially insofar as it permits "monkey patching": you can always add new methods to an existing class, if you want. Regardless of the technical details, JP and the team saw that massive flexibility and said, "Yes, we should use that. All of it!"

As these stories usually go, that was fine- for awhile. Then one day, a test started failing because a class name wasn't defined. That was already odd, but what was even odder is that when they searched through the code, that class name wasn't actually used anywhere. So yes, there was definitely no class with that name, but also, there was no line of code that was trying to instantiate that class. So where was the problem?

def controller_class(name) "#{settings.app_name.camelize}::Controllers".constantize.const_get("#{name.to_s.camelize}") end def model_class(name) "#{settings.app_name.camelize}".constantize.const_get("#{name.to_s.camelize}") end def resource_class(name) "#{settings.app_name.camelize}Client".constantize.const_get("#{name.to_s.camelize}") end

It happened because they were dynamically constructing the class names from a settings field. And not just in this handful of lines- this pattern occurred all over the codebase. There were other places where it referenced a different settings field, and they just hadn't encountered the bug yet, but knew that it was only a matter of time before changing a settings file was going to break more functionality in the application.

They wisely rewrote these sections to not reference the settings, and dubbed the pattern the "Caramelize Pattern". They added that to their coding standards as a thing to avoid, and learned a valuable lesson about how languages provide footguns.

Since today's April Fool's Day, consider the prank the fact that everyone learned their lesson and corrected their mistakes. I suppose that has to happen at least sometimes.

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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."

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An anonymous reader quotes a report from Ars Technica: The first flight of Isar Aerospace's Spectrum rocket didn't last long on Sunday. The booster's nine engines switched off as the rocket cartwheeled upside-down and fell a short distance from its Arctic launch pad in Norway, punctuating the abbreviated test flight with a spectacular fiery crash into the sea. If officials at Isar Aerospace were able to pick the outcome of their first test flight, it wouldn't be this. However, the result has precedent. The first launch of SpaceX's Falcon 1 rocket in 2006 ended in similar fashion. "Today, we know twice as much about our launch system as yesterday before launch," Daniel Metzler, Isar's co-founder and CEO, wrote on X early Monday. "Can't beat flight testing. Ploughing through lots of data now." Isar Aerospace, based in Germany, is the first in a crop of new European rocket companies to attempt an orbital launch. If all went according to plan, Isar's Spectrum rocket would have arced to the north from Andoya Spaceport in Norway and reached a polar orbit. But officials knew there was only a low chance of reaching orbit on the first flight. For this reason, Isar did not fly any customer payloads on the Spectrum rocket, designed to deliver up to 2,200 pounds (1,000 kilograms) of payload mass to low-Earth orbit. [...] Isar declared the launch a success in its public statements, but was it? [...] Metzler, Isar's chief executive, was asked last year what he would consider a successful inaugural flight of Spectrum. "For me, the first flight will be a success if we don't blow up the launch site," he said at the Handelsblatt innovation conference. "That would probably be the thing that would set us back the most in terms of technology and time." This tempering of expectations sounds remarkably similar to statements made by Elon Musk about SpaceX's first flight of the Starship rocket in 2023. By this measure, Isar officials can be content with Sunday's result. The company is modeling its test strategy on SpaceX's iterative development cycle, where engineers test early, make fixes, and fly again. This is in stark contrast to the way Europe has traditionally developed rockets. The alternative to Isar's approach could be to "spend 15 years researching, doing simulations, and then getting it right the first time," Metzler said. With the first launch of Spectrum, Isar has tested the rocket. Now, it's time to make fixes and fly again. That, Isar's leaders argue, will be the real measure of success. "We're super happy," Metzler said in a press call after Sunday's flight. "It's a time for people to be proud of, and for Europe, frankly, also to be proud of." You can watch a replay of the live launch webcast on YouTube.

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Software engineer Sergey Tselovalnikov weighs in on the new hype: The term caught on and Twitter quickly flooded with posts about how AI has radically transformed coding and will soon replace all software engineers. While AI undeniably impacts the way we write code, it hasn't fundamentally changed our role as engineers. Allow me to explain. [...] Vibe coding is interacting with the codebase via prompts. As the implementation is hidden from the "vibe coder", all the engineering concerns will inevitably get ignored. Many of the concerns are hard to express in a prompt, and many of them are hard to verify by only inspecting the final artifact. Historically, all engineering practices have tried to shift all those concerns left -- to the earlier stages of development when they're cheap to address. Yet with vibe coding, they're shifted very far to the right -- when addressing them is expensive. The question of whether an AI system can perform the complete engineering cycle and build and evolve software the same way a human can remains open. However, there are no signs of it being able to do so at this point, and if it one day happens, it won't have anything to do with vibe coding -- at least the way it's defined today. [...] It is possible that there'll be a future where software is built from vibe-coded blocks, but the work of designing software able to evolve and scale doesn't go away. That's not vibe engineering -- that's just engineering, even if the coding part of it will look a bit different.

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Intel Chief Executive Officer Lip-Bu Tan said the chipmaker will spin off assets that aren't central to its mission and create new products including custom semiconductors to try to better align itself with customers. From a report: Intel needs to replace the engineering talent it has lost, improve its balance sheet and better attune manufacturing processes to meet the needs of potential customers, Tan said. Speaking at his first public appearance as CEO, at the Intel Vision conference Monday in Las Vegas, Tan didn't specify what parts of Intel he believes are no longer central to its future. "We have a lot of hard work ahead," Tan said, addressing the company's customers in the audience. "There are areas where we've fallen short of your expectations." The veteran semiconductor executive is trying to restore the fortunes of a company that dominated an industry for decades, but now finds itself chasing rivals in most of the areas that define success in the field. A key question confronting its leadership is whether a turnaround is best served by the company remaining whole or splitting up its key product and manufacturing operations. Tan gave no indication that he will seek to divest either part of Intel. Instead, he highlighted the problems he needs to fix to get both units performing more successfully. Intel's chips for data center and AI-related work in particular are not good enough, he said. "We fell behind on innovation," the CEO said. "We have been too slow to adapt and meet your needs."

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Bruce66423 shares a report from the BBC: A former GCHQ intern has admitted risking national security by taking top secret data home with him on his mobile phone. Hasaan Arshad, 25, pleaded guilty to an offence under the Computer Misuse Act on what would have been the first day of his trial at the Old Bailey in London. The charge related to committing an unauthorised act which risked damaging national security. Arshad, from Rochdale in Greater Manchester, is said to have transferred sensitive data from a secure computer to his phone, which he had taken into a top secret area of GCHQ on 24 August 2022. [...] The court heard that Arshad took his work mobile into a top secret GCHQ area and connected it to work station. He then transferred sensitive data from a secure, top secret computer to the phone before taking it home, it was claimed. Arshad then transferred the data from the phone to a hard drive connected to his personal home computer. "Seriously? What on earth was the UK's equivalent of the NSA doing allowing its hardware to carry out such a transfer?" questions Bruce66423.

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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.

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OpenAI plans to release a new open-weight language model -- its first since GPT-2 -- in the coming months and is seeking community feedback to shape its development. "That's according to a feedback form the company published on its website Monday," reports TechCrunch. "The form, which OpenAI is inviting 'developers, researchers, and [members of] the broader community' to fill out, includes questions like 'What would you like to see in an open-weight model from OpenAI?' and 'What open models have you used in the past?'" From the report: "We're excited to collaborate with developers, researchers, and the broader community to gather inputs and make this model as useful as possible," OpenAI wrote on its website. "If you're interested in joining a feedback session with the OpenAI team, please let us know [in the form] below." OpenAI plans to host developer events to gather feedback and, in the future, demo prototypes of the model. The first will take place in San Francisco within a few weeks, followed by sessions in Europe and Asia-Pacific regions. OpenAI is facing increasing pressure from rivals such as Chinese AI lab DeepSeek, which have adopted an "open" approach to launching models. In contrast to OpenAI's strategy, these "open" competitors make their models available to the AI community for experimentation and, in some cases, commercialization.

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An anonymous reader quotes a report from Reuters: Google has agreed to pay $100 million in cash to settle a long-running lawsuit claiming it overcharged advertisers by failing to provide promised discounts and charged for clicks on ads outside the geographic areas the advertisers targeted. A preliminary settlement of the 14-year-old class action, which began in March 2011, was filed late Thursday in the San Jose, California, federal court, and requires a judge's approval. Advertisers who participated in Google's AdWords program, now known as Google Ads, accused the search engine operator of breaching its contract by manipulating its Smart Pricing formula to artificially reduce discounts. The advertisers also said Google, a unit of Mountain View, California-based Alphabet, misled them by failing to limit ad distribution to locations they designated, violating California's unfair competition law. Thursday's settlement covers advertisers who used AdWords between January 1, 2004, and December 13, 2012. Google denied wrongdoing in agreeing to settle. "This case was about ad product features we changed over a decade ago and we're pleased it's resolved," spokesman Jose Castaneda said in an emailed statement. Lawyers for the plaintiffs may seek fees of up to 33% of the settlement fund, plus $4.2 million for expenses. According to court papers, the case took a long time as the parties produced extensive evidence, including more than 910,000 pages of documents and multiple terabytes of click data from Google, and participated in six mediation sessions before four different mediators.

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The Chrome extension Honey has lost over 4 million users after a viral video exposed it for hijacking affiliate codes and misleading users about finding the best coupon deals. 9to5Google reports: As we reported in early January, Honey had lost around 3 million users immediately after the video went viral, but ended up gaining back around 1 million later on. Now, as of March 2025, Honey is down to 16 million users on Chrome, down from its peak of 20 million. This drop comes after new Chrome policy has taken effect which prevents Honey, and extensions like it, from practices including taking over affiliate codes without disclosure or without benefit to the extension's users. Honey has since updated its extension listing with disclosure, and we found that the behavior shown in the December video no longer occurs.

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OpenAI is having another viral moment after releasing Images for ChatGPT last week, with millions of people creating Studio Ghibli-inspired AI art. In a post on X today, CEO Sam Altman said the company has "added one million users in the last hour" alone. A few days prior he begged users to stop generating images because he said "our GPUs are melting."

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An anonymous reader quotes a report from 404 Media: The creator of an open source genetic database is shutting it down and deleting all of its data because he has come to believe that its existence is dangerous with "a rise in far-right and other authoritarian governments" in the United States and elsewhere. "The largest use case for DTC genetic data was not biomedical research or research in big pharma," Bastian Greshake Tzovaras, the founder of OpenSNP, wrote in a blog post. "Instead, the transformative impact of the data came to fruition among law enforcement agencies, who have put the genealogical properties of genetic data to use." OpenSNP has collected roughly 7,500 genomes over the last 14 years, primarily by allowing people to voluntarily submit their own genetic information they have downloaded from 23andMe. With the bankruptcy of 23andMe, increased interest in genetic data by law enforcement, and the return of Donald Trump and rise of authoritarian governments worldwide, Greshake Tzovaras told 404 Media he no longer believes it is ethical to run the database. "I've been thinking about it since 23andMe was on the verge of bankruptcy and been really considering it since the U.S. election. It definitely is really bad over there [in the United States]," Greshake Tzovaras told 404 Media. "I am quite relieved to have made the decision and come to a conclusion. It's been weighing on my mind for a long time." Greshake Tzovaras said that he is proud of the OpenSNP project, but that, in a world where scientific data is being censored and deleted and where the Trump administration has focused on criminalizing immigrants and trans people, he now believes that the most responsible thing to do is to delete the data and shut down the project. "Most people in OpenSNP may not be at particular risk right now, but there are people from vulnerable populations in here as well," Greshake Tzovaras said. "Thinking about gender representation, minorities, sexual orientation -- 23andMe has been working on the whole 'gay gene' thing, it's conceivable that this would at some point in the future become an issue." "Across the globe there is a rise in far-right and other authoritarian governments. While they are cracking down on free and open societies, they are also dedicated to replacing scientific thought and reasoning with pseudoscience across disciplines," Greshake Tzovaras wrote. "The risk/benefit calculus of providing free & open access to individual genetic data in 2025 is very different compared to 14 years ago. And so, sunsetting openSNP -- along with deleting the data stored within it -- feels like it is the most responsible act of stewardship for these data today." "The interesting thing to me is there are data preservation efforts in the U.S. because the government is deleting scientific data that they don't like. This is approaching that same problem from a different direction," he added. "We need to protect the people in this database. I am supportive of preserving scientific data and knowledge, but the data comes second -- the people come first. We prefer deleting the data."

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An anonymous reader shares a report: The post-Covid rebound of live events is all the more evidence that movie theaters are never coming back, Netflix co-CEO Ted Sarandos told Semafor in an interview at the Paley Center for Media Friday. "Nearly every live thing has come back screaming," Sarandos said. "Broadway's breaking records right now, sporting events, concerts, all those things that we couldn't do during COVID are all back and bigger than ever. The theatrical box office is down 40 to 50% from pre-COVID, and this year is down 8% already, so the trend is not reversing. You've gotta look at that and say, 'What is the consumer trying to tell you?'"

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Micron will raise prices for DRAM and NAND flash memory chips through 2026 as AI and data center demand strains supply chains, the U.S. chipmaker confirmed Monday. The move follows a market rebound from previous oversupply, with memory prices steadily climbing as producers cut output while AI and high-performance computing workloads grow. Rivals Samsung Electronics and SK Hynix are expected to implement similar increases. Micron cited "un-forecasted demand across various business segments" in communications to channel partners. The price hikes will impact sectors ranging from consumer electronics to enterprise data centers.

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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).

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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."

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Two scientific journals that experimented with paying peer reviewers found the practice sped up the review process without compromising quality, according to findings published this month. Critical Care Medicine offered $250 to half of 715 invited reviewers, with 53% accepting compared to 48% of unpaid reviewers. Paid reviews were completed one day faster on average. In a more dramatic result, Biology Open saw reviews completed in 4.6 business days when paying reviewers $284 per review, versus 38 days for unpaid reviews. "For the editors it has been extremely helpful because, prior to this, in some areas it was very difficult to secure reviewers," said Alejandra Clark, managing editor of Biology Open.

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France's competition authority has fined Apple 150 million euros ($162 million) for abusing its market dominance through its App Tracking Transparency system, ruling the privacy initiative unfairly disadvantages app developers. The watchdog determined that requiring third-party developers to use two pop-ups for tracking permissions while Apple's own apps need just one tap creates an "excessively complex" process that particularly harms smaller publishers lacking sufficient proprietary data for alternative targeting. The authority acknowledged the system's privacy benefits, but concluded the framework is "neither necessary nor proportionate" with data protection goals. The regulator is not requiring Apple to modify the system, only imposing the fine for past practices. Apple must display a summary of the decision on its website for seven days.

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