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

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

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

Slashdot reader zlives shared this report from BleepingComputer: Microsoft used its AI-powered Security Copilot to discover 20 previously unknown vulnerabilities in the GRUB2, U-Boot, and Barebox open-source bootloaders.

GRUB2 (GRand Unified Bootloader) is the default boot loader for most Linux distributions, including Ubuntu, while U-Boot and Barebox are commonly used in embedded and IoT devices. Microsoft discovered eleven vulnerabilities in GRUB2, including integer and buffer overflows in filesystem parsers, command flaws, and a side-channel in cryptographic comparison. Additionally, 9 buffer overflows in parsing SquashFS, EXT4, CramFS, JFFS2, and symlinks were discovered in U-Boot and Barebox, which require physical access to exploit.

The newly discovered flaws impact devices relying on UEFI Secure Boot, and if the right conditions are met, attackers can bypass security protections to execute arbitrary code on the device. While exploiting these flaws would likely need local access to devices, previous bootkit attacks like BlackLotus achieved this through malware infections.
Miccrosoft titled its blog post "Analyzing open-source bootloaders: Finding vulnerabilities faster with AI." (And they do note that Micxrosoft disclosed the discovered vulnerabilities to the GRUB2, U-boot, and Barebox maintainers and "worked with the GRUB2 maintainers to contribute fixes... GRUB2 maintainers released security updates on February 18, 2025, and both the U-boot and Barebox maintainers released updates on February 19, 2025.")

They add that performing their initial research, using Security Copilot "saved our team approximately a week's worth of time," Microsoft writes, "that would have otherwise been spent manually reviewing the content." Through a series of prompts, we identified and refined security issues, ultimately uncovering an exploitable integer overflow vulnerability. Copilot also assisted in finding similar patterns in other files, ensuring comprehensive coverage and validation of our findings...

As AI continues to emerge as a key tool in the cybersecurity community, Microsoft emphasizes the importance of vendors and researchers maintaining their focus on information sharing. This approach ensures that AI's advantages in rapid vulnerability discovery, remediation, and accelerated security operations can effectively counter malicious actors' attempts to use AI to scale common attack tactics, techniques, and procedures (TTPs).
This week Google also announced Sec-Gemini v1, "a new experimental AI model focused on advancing cybersecurity AI frontiers."

The advent of LLMs and machine learning-based applications "opened the door to a new wave of security threats," argues Google's security blog. (Including model and data poisoning, prompt injection, prompt leaking and prompt evasion.)

So as part of the Linux Foundation's nonprofit Open Source Security Foundation, and in partnership with NVIDIA and HiddenLayer, Google's Open Source Security Team on Friday announced the first stable model-signing library (hosted at PyPI.org), with digital signatures letting users verify that the model used by their application "is exactly the model that was created by the developers," according to a post on Google's security blog. [S]ince models are an uninspectable collection of weights (sometimes also with arbitrary code), an attacker can tamper with them and achieve significant impact to those using the models. Users, developers, and practitioners need to examine an important question during their risk assessment process: "can I trust this model?"

Since its launch, Google's Secure AI Framework (SAIF) has created guidance and technical solutions for creating AI applications that users can trust. A first step in achieving trust in the model is to permit users to verify its integrity and provenance, to prevent tampering across all processes from training to usage, via cryptographic signing... [T]he signature would have to be verified when the model gets uploaded to a model hub, when the model gets selected to be deployed into an application (embedded or via remote APIs) and when the model is used as an intermediary during another training run. Assuming the training infrastructure is trustworthy and not compromised, this approach guarantees that each model user can trust the model...

The average developer, however, would not want to manage keys and rotate them on compromise. These challenges are addressed by using Sigstore, a collection of tools and services that make code signing secure and easy. By binding an OpenID Connect token to a workload or developer identity, Sigstore alleviates the need to manage or rotate long-lived secrets. Furthermore, signing is made transparent so signatures over malicious artifacts could be audited in a public transparency log, by anyone. This ensures that split-view attacks are not possible, so any user would get the exact same model. These features are why we recommend Sigstore's signing mechanism as the default approach for signing ML models.

Today the OSS community is releasing the v1.0 stable version of our model signing library as a Python package supporting Sigstore and traditional signing methods. This model signing library is specialized to handle the sheer scale of ML models (which are usually much larger than traditional software components), and handles signing models represented as a directory tree. The package provides CLI utilities so that users can sign and verify model signatures for individual models. The package can also be used as a library which we plan to incorporate directly into model hub upload flows as well as into ML frameworks.
"We can view model signing as establishing the foundation of trust in the ML ecosystem..." the post concludes (adding "We envision extending this approach to also include datasets and other ML-related artifacts.") Then, we plan to build on top of signatures, towards fully tamper-proof metadata records, that can be read by both humans and machines. This has the potential to automate a significant fraction of the work needed to perform incident response in case of a compromise in the ML world...

To shape the future of building tamper-proof ML, join the Coalition for Secure AI, where we are planning to work on building the entire trust ecosystem together with the open source community. In collaboration with multiple industry partners, we are starting up a special interest group under CoSAI for defining the future of ML signing and including tamper-proof ML metadata, such as model cards and evaluation results.

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

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

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

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

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

An anonymous reader shares a report: Yet another busy hurricane season is likely across the Atlantic this year -- but some of the conditions that supercharged storms like Hurricanes Helene and Milton in 2024 have waned, according to a key forecast issued Thursday.

A warm -- yet no longer record-hot -- strip of waters across the Atlantic Ocean is forecast to help fuel development of 17 named tropical cyclones during the season that runs from June 1 through Nov. 30, according to Colorado State University researchers. Of those tropical cyclones, nine are forecast to become hurricanes, with four of those expected to reach "major" hurricane strength.

That would mean a few more tropical storms and hurricanes than in an average year, yet slightly quieter conditions than those observed across the Atlantic basin last year. This time last year, researchers from CSU were warning of an "extremely active" hurricane season with nearly two dozen named tropical storms. The next month, the National Oceanic and Atmospheric Administration released an aggressive forecast, warning the United States could face one of its worst hurricane seasons in two decades.

The forecast out Thursday underscores how warming oceans and cyclical patterns in storm activity have primed the Atlantic basin for what is now a decades-long string of frequent, above-normal -- but not necessarily hyperactive -- seasons, said Philip Klotzbach, a senior research scientist at Colorado State and the forecast's lead author.

SpaceX's Fram2 mission returned safely after becoming the first crewed spaceflight to orbit directly over Earth's poles. From a report: Led by cryptocurrency billionaire Chun Wang, who is the financier of this mission, the Fram2 crew has been free-flying through orbit since Monday. The group splashed down at 9:19 a.m. PT, or 12:19 p.m. ET, off the coast of California -- the first West Coast landing in SpaceX's five-year history of human spaceflight missions. The company livestreamed the splashdown and recovery of the capsule on its website.

During the journey, the Fram2 crew members were slated to carry out various research projects, including capturing images of auroras from space and documenting their experiences with motion sickness. [...] This trip is privately funded, and such missions allow for SpaceX's customers to spend their time in space as they see fit. For Fram2, the crew traveled to orbit prepared to carry out 22 research and science experiments, some of which were designed and overseen by SpaceX. Most of the research involves evaluating crew health.

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

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

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

China said Friday that it will impose reciprocal 34% tariffs on all imports from the United States from April 10, making good on a promise to strike back after US President Donald Trump escalated a global trade war. CNN: On Wednesday, Trump unveiled an additional 34% tariff on all Chinese goods imported into the US, in a move poised to cause a major reset of relations and worsen trade tensions between the world's two largest economies.

"This practice of the US is not in line with international trade rules, seriously undermines China's legitimate rights and interests, and is a typical unilateral bullying practice," China's State Council Tariff Commission said in a statement announcing its retaliatory tariffs. Since returning to power in January, Trump had already levied two tranches of 10% additional duties on all Chinese imports, which the White House said was necessary to stem the flow of illicit fentanyl from the country to the US. Combined with pre-existing tariffs, that means Chinese goods arriving in the US would be effectively subject to tariffs of well over 54%.

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: [...] The study, led by researchers at Brown University, found that the wealthiest Americans lived shorter lives than the wealthiest Europeans. In fact, wealthy Northern and Western Europeans had death rates 35 percent lower than the wealthiest Americans, whose lifespans were more like the poorest in Northern and Western Europe -- which includes countries such as France, the Netherlands, and Switzerland. "The findings are a stark reminder that even the wealthiest Americans are not shielded from the systemic issues in the US contributing to lower life expectancy, such as economic inequality or risk factors like stress, diet or environmental hazards," lead study author Irene Papanicolas, a professor of health services, policy and practice at Brown, said in a news release.

The study looked at health and wealth data of more than 73,000 adults across the US and Europe who were 50 to 85 years old in 2010. There were more than 19,000 from the US, nearly 27,000 from Northern and Western Europe, nearly 19,000 from Eastern Europe, and nearly 9,000 from Southern Europe. For each region, participants were divided into wealth quartiles, with the first being the poorest and the fourth being the richest. The researchers then followed participants until 2022, tracking deaths. The US had the largest gap in survival between the poorest and wealthiest quartiles compared to European countries. America's poorest quartile also had the lowest survival rate of all groups, including the poorest quartiles in all three European regions.

While less access to health care and weaker social structures can explain the gap between the wealthy and poor in the US, it doesn't explain the differences between the wealthy in the US and the wealthy in Europe, the researchers note. There may be other systemic factors at play that make Americans uniquely short-lived, such as diet, environment, behaviors, and cultural and social differences. "If we want to improve health in the US, we need to better understand the underlying factors that contribute to these differences -- particularly amongst similar socioeconomic groups -- and why they translate to different health outcomes across nations," Papanicolas said. The findings have been published in the New England Journal of Medicine.

Google's NotebookLM has added a new "Discover sources" feature that allows users to describe a topic and have the AI find and curate relevant sources from the web -- eliminating the need to upload documents manually. "When you tap the Discover button in NotebookLM, you can describe the topic you're interested in, and NotebookLM will bring back a curated collection of relevant sources from the web," says Google software engineer Adam Bignell. Click to add those sources to your notebook; "it's a fast and easy way to quickly grasp a new concept or gather essential reading on a topic." PCMag reports: You can still add your files. NotebookLM can ingest PDFs, websites, YouTube videos, audio files, Google Docs, or Google Slides and summarize, transcribe, narrate, or convert into FAQs and study guides. "Discover sources" helps incorporate information you may not have saved. [...] The imported sources stay within the notebook you created. You can read the entire original document, ask questions about it via chat, or apply other NotebookLM features to it.

Google started rolling out both features on Wednesday. It should be available for all users in about "a week or so." For those concerned about privacy, Google says, "NotebookLM does not use your personal data, including your source uploads, queries, and the responses from the model for training." There's also an "I'm Feeling Curious" button (a reference to its iconic "I'm feeling lucky" search button) that generates sources on a random topic you might find interesting.

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."

The climate crisis is on track to destroy capitalism, a top insurer has warned, with the vast cost of extreme weather impacts leaving the financial sector unable to operate. From a report: The world is fast approaching temperature levels where insurers will no longer be able to offer cover for many climate risks, said Günther Thallinger, on the board of Allianz SE, one of the world's biggest insurance companies. He said that without insurance, which is already being pulled in some places, many other financial services become unviable, from mortgages to investments.

Global carbon emissions are still rising and current policies will result in a rise in global temperature between 2.2C and 3.4C above pre-industrial levels. The damage at 3C will be so great that governments will be unable to provide financial bailouts and it will be impossible to adapt to many climate impacts, said Thallinger, who is also the chair of the German company's investment board and was previously CEO of Allianz Investment Management. The core business of the insurance industry is risk management and it has long taken the dangers of global heating very seriously. In recent reports, Aviva said extreme weather damages for the decade to 2023 hit $2tn, while GallagherRE said the figure was $400bn in 2024. Zurich said it was "essential" to hit net zero by 2050.

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."

Longtime Slashdot reader theodp writes: A coalition of Washington state business leaders -- which includes Microsoft President Brad Smith and Amazon Chief Legal Officer David Zapolsky -- released a letter Wednesday urging state lawmakers to reconsider recently proposed tax and budget measures. "I actually think it's an almost unprecedented outpouring of support from across the business community," said Microsoft's Smith in an interview. In their letter, which reads in part like it could have been penned by a GenAI Marie Antoinette, the WA business leaders question whether any more spending is warranted given how poorly Washington's 4th and 8th graders compare to children in the rest of the nation on test scores. The letter also laments the increase in WA's homeless population as it celebrates WA Governor Bob Ferguson's announcement that he would not sign a proposed wealth tax.

From the letter: "We have long partnered with you in many areas, including education funding. Despite more than doubling K-12 spending and increasing teacher salaries to some of the highest rates in the nation, 4th and 8th grade assessment scores in reading and math are among the worst in the country. Similarly, we have collaborated with you to address housing and homelessness. Despite historic investments in affordable housing and homelessness prevention since 2013, Washington's homeless population has grown by 71 percent, making it the third largest in the nation after California and New York, according to HUD. These outcomes beg the question of whether more investment is needed or whether we need different policies instead."

Back in 2010, Smith teamed with then-Microsoft CEO Steve Ballmer and then-Amazon CEO Jeff Bezos to fund an effort to defeat an initiative for a WA state income that was pushed for by Bill Gates Sr. In 2023, Bezos moved out of WA state before being subjected to a 7% tax on gains of more than $250,000 from the sale of stocks and bonds, a move that reportedly saved him $1.2 billion in WA taxes on his 2024 Amazon stock sales.

Robotics and machine learning engineer Naveen Kul developed WattWise, a lightweight open-source CLI tool that monitors power usage via smart plugs and throttles system performance based on electricity pricing and peak hours. Tom's Hardware reports: The simple program, called WattWise, came about when Naveen built a dual-socket EPYC workstation with plans to add four GPUs. It's a power-intensive setup, so he wanted a way to monitor its power consumption using a Kasa smart plug. The enthusiast has released the monitoring portion of the project to the public now, but the portion that manages clocks and power will be released later. Unfortunately, the Kasa Smart app and the Home Assistant dashboard was inconvenient and couldn't do everything he desired. He already had a terminal window running monitoring tools like htop, nvtop, and nload, and decided to take matters into his own hands rather than dealing with yet another app.

Naveen built a terminal-based UI that shows power consumption data through Home Assistant and the TP-Link integration. The app monitors real-time power use, showing wattage and current, as well as providing historical consumption charts. More importantly, it is designed to automatically throttle CPU and GPU performance. Naveen's power provider uses Time-of-Use (ToU) pricing, so using a lot of power during peak hours can cost significantly more. The workstation can draw as much as 1400 watts at full load, but by reducing the CPU frequency from 3.7 GHz to 1.5 GHz, he's able to reduce consumption by about 225 watts. (No mention is made of GPU throttling, which could potentially allow for even higher power savings with a quad-GPU setup.)

Results will vary based on the hardware being used, naturally, and servers can pull far more power than a typical desktop -- even one designed and used for gaming. WattWise optimizes the system's clock speed based on the current system load, power consumption as reported by the smart plug, and the time -- with the latter factoring in peak pricing. From there, it uses a Proportional-Integral (PI) controller to manage the power and adapts system parameters based on the three variables. A blog post with more information is available here.

WattWise is also available on GitHub.

An anonymous reader quotes a report from TechCrunch: Anthropic announced on Wednesday that it's launching a new Claude for Education tier, an answer to OpenAI's ChatGPT Edu plan. The new tier is aimed at higher education, and gives students, faculty, and other staff access to Anthropic's AI chatbot, Claude, with a few additional capabilities. One piece of Claude for Education is "Learning Mode," a new feature within Claude Projects to help students develop their own critical thinking skills, rather than simply obtain answers to questions. With Learning Mode enabled, Claude will ask questions to test understanding, highlight fundamental principles behind specific problems, and provide potentially useful templates for research papers, outlines, and study guides.

Anthropic says Claude for Education comes with its standard chat interface, as well as "enterprise-grade" security and privacy controls. In a press release shared with TechCrunch ahead of launch, Anthropic said university administrators can use Claude to analyze enrollment trends and automate repetitive email responses to common inquiries. Meanwhile, students can use Claude for Education in their studies, the company suggested, such as working through calculus problems with step-by-step guidance from the AI chatbot. To help universities integrate Claude into their systems, Anthropic says it's partnering with the company Instructure, which offers the popular education software platform Canvas. The AI startup is also teaming up with Internet2, a nonprofit organization that delivers cloud solutions for colleges.

Anthropic says that it has already struck "full campus agreements" with Northeastern University, the London School of Economics and Political Science, and Champlain College to make Claude for Education available to all students. Northeastern is a design partner -- Anthropic says it's working with the institution's students, faculty, and staff to build best practices for AI integration, AI-powered education tools, and frameworks. Anthropic hopes to strike more of these contracts, in part through new student ambassador and AI "builder" programs, to capitalize on the growing number of students using AI in their studies.

The FBI searched two homes of Indiana University Bloomington data privacy professor Xiaofeng Wang last week, following months of university inquiries into whether he received unreported research funding from China, WIRED reported Wednesday.

Wang, who leads the Center for Distributed Confidential Computing established with a $3 million National Science Foundation grant, was terminated on March 28 via email from the university provost. The university had contacted Wang in December regarding a 2017-2018 grant in China that listed him as a researcher, questioning whether he properly disclosed the funding to IU and in applications for U.S. federal research grants.

Jason Covert, Wang's attorney, said Wang and his wife Nianli Ma, whose employee profile was also removed, are "safe" and neither has been arrested. The couple's legal team has viewed a search warrant but received no affidavit establishing probable cause.

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

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

Representatives Alexandria Ocasio-Cortez and Anna Paulina Luna introduced bipartisan legislation in March to cap credit card interest rates at 10% annually as Americans' debt hits record levels. "Credit cards with high interest rates regularly trap working people in endless cycles of debt," Ocasio-Cortez said in a statement.

Credit card debt has reached $1.2 trillion in Q4 2024, up from $720 billion in the same quarter of 2004, according to Federal Reserve Bank of New York data. Average annual percentage rates nearly doubled to 21% in 2024 from 12% in 2003. The Federal Reserve Bank of Philadelphia reported a record number of cardholders making only minimum payments in Q3 2024, "showing signs of consumer stress."

Further reading: Study Reveals Why Credit Card Interest Rates Remain Stubbornly High.