The FTC has warned that any buyer of 23andMe must honor the company's current privacy policy, which ensures consumers retain control over their genetic data and can delete it at will. FTC Chair Andrew Ferguson emphasized that such promises must be upheld, given the uniquely sensitive and immutable nature of genetic information. The Record reports: The letter, sent to the DOJ's United States Trustee Program, highlights several assurances 23andMe makes in its privacy policy, including that users are in control of their data and can determine how and for what purposes it is used. The company also gives users the ability to delete their data at will, the letter says, arguing that 23andMe has made "direct representations" to consumers about how it uses, shares and safeguards their personal information, including in the case of bankruptcy. Pointing to statements that the company's leadership has made asserting that user data should be considered an asset, Ferguson highlighted that 23andMe's privacy statement tells users it does not share their data with insurers, employers, public databases or law enforcement without a court order, search warrant or subpoena. It also promises consumers that it only shares their personal data in cases where it is needed to provide services, Ferguson added. The genetic testing and ancestry company is explicit that its data protection guidelines apply to new entities it may be sold or transferred to, Ferguson said.

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A federal judge struck down Arkansas' Social Media Safety Act, ruling it unconstitutional for broadly restricting both adult and minor speech and imposing vague requirements on platforms. Engadget reports: In a ruling (PDF), Judge Timothy Brooks said that the law, known as Act 689 (PDF), was overly broad. "Act 689 is a content-based restriction on speech, and it is not targeted to address the harms the State has identified," Brooks wrote in his decision. "Arkansas takes a hatchet to adults' and minors' protected speech alike though the Constitution demands it use a scalpel." Brooks also highlighted the "unconstitutionally vague" applicability of the law, which seemingly created obligations for some online services, but may have exempted services which had the "predominant or exclusive function [of]... direct messaging" like Snapchat. "The court confirms what we have been arguing from the start: laws restricting access to protected speech violate the First Amendment," NetChoice's Chris Marchese said in a statement. "This ruling protects Americans from having to hand over their IDs or biometric data just to access constitutionally protected speech online." It's not clear if state officials in Arkansas will appeal the ruling. "I respect the court's decision, and we are evaluating our options," Arkansas Attorney general Tim Griffin said in a statement.

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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.

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With America's national debt sitting comfortably over the $36.2 trillion mark, BlackRock CEO Larry Fink is warning the burden could one day be the reason the dollar is dethroned as the reserve currency of the world. From a report: He argues that decentralized currencies like Bitcoin could replace the dollar as worldwide organizations lose faith in national currencies and seek an independent solution. Fink explained his theory in his 2025 letter to shareholders, writing: "The U.S. has benefited from the dollar serving as the world's reserve currency for decades. But that's not guaranteed to last forever. "The national debt has grown at three times the pace of GDP since Times Square's debt clock started ticking in 1989. This year, interest payments will surpass $952 billion -- exceeding defense spending. By 2030, mandatory government spending and debt service will consume all federal revenue, creating a permanent deficit. If the U.S. doesn't get its debt under control, if deficits keep ballooning, America risks losing that position to digital assets like Bitcoin."

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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.

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Credit card interest rates, which averaged 23% in 2023, are significantly higher than any other major loan product primarily due to non-diversifiable default risk and banks' market power, according to research published by the Federal Reserve Bank of New York. The comprehensive study, which analyzed 330 million monthly credit card accounts, found that while high default losses contribute to elevated rates, they explain only part of the picture. Even high-FICO borrowers pay spreads exceeding 7% above the federal funds rate. Researchers determined that credit card banks have substantial pricing power, achieved through exceptionally high operating expenses -- about 4-5% of dollar balances annually -- with marketing costs ten times higher than those at other banks. "Credit card charge-off rates are highly correlated with default rates on banks' other loans as well as on corporate bonds," the researchers said, noting that default risk cannot be diversified away across lending markets, particularly during economic downturns. The study estimated that exposure to aggregate default risk carries a premium of 5.3% per year, which fully explains the relationship between return on assets and credit scores. Credit cards are ubiquitous in American finance, with 74% of adults owning at least one card, and the payment method accounting for 70% of retail spending. According to the research, 60% of accounts carry balances month-to-month.

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London's mayor has axed a cyber crime helpline for the victims of online abuse, triggering a backlash from campaigners who argue that women and girls will be left struggling to access vital support. From a report: The service, which was shut down on Tuesday, assisted victims of fraud, revenge porn and cyberstalking to protect their digital identity. During its 18-months of operation it led to 2,060 cases being opened. The helpline was launched in 2023 as a one-year pilot scheme with $220,000 in funding from the Mayor's Office for Policing and Crime (Mopac), and was later extended by six months. Conservative London Assembly member Emma Best said an informal evaluation showed the helpline "was working" and was going to be extended for another year. However, Sadiq Khan said that the scheme would be closed. "It was a pilot and pilots are what they say on the tinâ... we will receive an end of project report, we have collected the data and the results of that report will inform our future work," he said, speaking at Mayor's Question Time.

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Google is rolling out a new encryption model for Gmail that allows enterprise users to send encrypted messages without requiring recipients to use custom software or exchange encryption certificates. The feature, launching in beta today, initially supports encrypted emails within the same organization, with plans to expand to all Gmail inboxes "in the coming weeks" and third-party email providers "later this year." Unlike Gmail's current S/MIME-based encryption, the new system lets users simply toggle "additional encryption" in the email draft window. Non-Gmail recipients will receive a link to access messages through a guest Google Workspace account, while Gmail users will see automatically decrypted emails in their inbox.

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Economic models have systematically underestimated how global heating will affect people's wealth, according to a new study that finds 4C warming will make the average person 40% poorer -- an almost four-fold increase on some estimates. The Guardian: The study by Australian scientists suggests average per person GDP across the globe will be reduced by 16% even if warming is kept to 2C above pre-industrial levels. This is a much greater reduction than previous estimates, which found the reduction would be 1.4%. Scientists now estimate global temperatures will rise by 2.1C even if countries hit short-term and long-term climate targets. Criticisms have mounted in recent years that a set of economic tools known as integrated assessment models (IAM) -- used to guide how much governments should invest in cutting greenhouse gas emissions -- have failed to capture major risks from climate change, particularly extreme weather events. The new study, in the journal Environmental Research Letters, took one of the most popular economic models and enhanced it with climate change forecasts to capture the impacts of extreme weather events across global supply chains.

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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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