Nvidia has confirmed on its forums that the RTX 50 series GPUs no longer support 32-bit PhysX. Tom's Hardware reports: As far as we know, there are no 64-bit games with integrated PhysX technology, thus terminating the tech entirely on RTX 50 series GPUs and newer. RTX 40 series and older will still be able to run 32-bit CUDA applications and thus PhysX, but regardless, the technology is now officially retired, starting with Blackwell. [...]

The only way now to run PhysX on RTX 50 series GPUs (or newer) is to install a secondary RTX 40 series or older graphics card and slave it to PhysX duty in the Nvidia control panel. As far as we are aware, Nvidia has not disabled this sort of functionality. But the writing is on the wall for PhysX, and we doubt there will be any future games that attempt to use the API.

An anonymous reader quotes a report from Bloomberg: HP will acquire assets from Humane, the maker of a wearable Ai Pin introduced in late 2023, for $116 million. The deal will include the majority of Humane's employees in addition to its software platform and intellectual property, the company said Tuesday. It will not include Humane's Ai pin device business, which will be wound down, an HP spokesperson said. Humane's team, including founders Imran Chaudhri and Bethany Bongiorno, will form a new division at HP to help integrate artificial intelligence into the company's personal computers, printers and connected conference rooms, said Tuan Tran, who leads HP's AI initiatives. Chaudhri and Bongiorno were design and software engineers at Apple before founding the startup. [...]

Tran said he was particularly impressed with aspects of Humane's design, such as the ability to orchestrate AI models running both on-device and in the cloud. The deal is expected to close at the end of the month, HP said. "There will be a time and place for pure AI devices," Tran said. "But there is going to be AI in all our devices -- that's how we can help our business customers be more productive."

An anonymous reader shares a report: U.S. personal injury law firm Morgan & Morgan sent an urgent email this month to its more than 1,000 lawyers: Artificial intelligence can invent fake case law, and using made-up information in a court filing could get you fired. A federal judge in Wyoming had just threatened to sanction two lawyers at the firm who included fictitious case citations in a lawsuit against Walmart. One of the lawyers admitted in court filings last week that he used an AI program that "hallucinated" the cases and apologized for what he called an inadvertent mistake.

AI's penchant for generating legal fiction in case filings has led courts around the country to question or discipline lawyers in at least seven cases over the last two years, and created a new high-tech headache for litigants and judges, Reuters found. The Walmart case stands out because it involves a well-known law firm and a big corporate defendant. But examples like it have cropped up in all kinds of lawsuits since chatbots like ChatGPT ushered in the AI era, highlighting a new litigation risk.

A new report released by Cisco finds that 97% of CEOs surveyed are planning AI integration. Similarly, 92% of companies recently surveyed by McKinsey plan to invest more in generative AI over the next three years. Fortune: To that end, many companies are seeking tech-savvy finance talent, according to a new report by software company Datarails. The researchers analyzed 6,000 job listings within the CFO's office -- CFO, controller, financial planning and analysis (FP&A), and accountant -- advertised on job search websites including LinkedIn, Glassdoor, Indeed, Job2Careers, and ZipRecruiter.

Of the 1,000 job listings for CFOs in January 2025, 27% included AI in the job description. This compares to 8% mentions of AI in 1,000 CFO job listings at the same time last year. Take, for example, Peaks Healthcare Consulting which required a CFO candidate to "continuously learn and integrate AI to improve financial processes and decision making," Datarails notes in the report. Regarding FP&A professionals, in January 2025, 35% of analyst roles mentioned AI competency as a requirement, compared to 14% in January 2024, according to the report.

Chinese AI startup DeepSeek has updated its business registry information with key changes to personnel and operational scope, signaling a shift towards monetizing its cost-efficient-yet-powerful large language models. From a report: The Hangzhou-based firm's updated business scope includes "internet information services," according to business registry service Tianyancha. The move is the first sign of DeepSeek's desire to monetise its popular technology, according to Zhang Yi, founder and chief analyst at consultancy iiMedia.

With eyes on developing a business model, DeepSeek intends to shift away from being purely focused on research and development, Zhang added. "The move reflects that for a company like DeepSeek, which managed to accumulate technology and develop a product, monetisation is becoming a necessary next step," Zhang said. DeepSeek's previous business scope said it engages in engineering and AI software development, among others, hinting at a more research-driven approach.

SanDisk aims to produce petabyte-scale SSDs through its new UltraQLC platform, though the company has not specified a release timeline. The technology, it said, combines SanDisk's BICS 8 QLC 3D NAND with a proprietary 64-channel controller featuring hardware accelerators that offload storage functions from firmware to reduce latency and improve reliability.

The initial UltraQLC drives will use 2Tb NAND chips to reach 128TB capacities, with future iterations targeting 256TB, 512TB, and eventually 1PB as higher-density NAND becomes available. The controller dynamically adjusts power based on workload and employs an advanced bus multiplexer to handle increased data loads from high-density QLC stacks, the company said.

Mexico has threatened legal action against Google after the tech company refused to fully restore the name Gulf of Mexico on its mapping service, escalating a dispute sparked by U.S. President Donald Trump's move to rename the body of water. Google Maps currently displays the water body as Gulf of America within U.S. territory, Gulf of Mexico within Mexican borders, and Gulf of Mexico (Gulf of America) elsewhere, according to a letter from Google vice president Cris Turner to Mexican President Claudia Sheinbaum.

Mexico argues the policy violates its sovereignty since the U.S. controls only 46% of the gulf, while Mexico and Cuba control 49% and 5% respectively. The historic name Gulf of Mexico, dating to 1607, is recognized by the United Nations. The dispute has strained U.S.-Mexico relations, with the White House barring Associated Press reporters from events over the news agency's naming policy.

A tech enthusiast has successfully transplanted the internal components of an iPhone SE 3 into the body of a Nokia Lumia 1020 Windows Phone, according to a post on Reddit's r/hackintosh forum. The modification preserves all key functions of the iPhone SE 3, including its 12-megapixel camera, 5G capabilities, and Touch ID sensor, which has been relocated to the back of the device. The project retains the Lumia 1020's distinctive design while upgrading its outdated microUSB port to Apple's Lightning connector.

The creator adapted the Lumia's original camera shutter button to work as a secondary volume control that can trigger photos in the iPhone's camera app. The only significant feature lost in the conversion was the headphone jack.

Ten years after publishing his influential book on data privacy, security expert Bruce Schneier warns that surveillance has only intensified, with both government agencies and corporations collecting more personal information than ever before. "Nothing has changed since 2015," Schneier told The Register in an interview. "The NSA and their counterparts around the world are still engaging in bulk surveillance to the extent of their abilities."

The widespread adoption of cloud services, Internet-of-Things devices, and smartphones has made it nearly impossible for individuals to protect their privacy, said Schneier. Even Apple, which markets itself as privacy-focused, faces limitations when its Chinese business interests are at stake. While some regulation has emerged, including Europe's General Data Protection Regulation and various U.S. state laws, Schneier argues these measures fail to address the core issue of surveillance capitalism's entrenchment as a business model.

The rise of AI poses new challenges, potentially undermining recent privacy gains like end-to-end encryption. As AI assistants require cloud computing power to process personal data, users may have to surrender more information to tech companies. Despite the grim short-term outlook, Schneier remains cautiously optimistic about privacy's long-term future, predicting that current surveillance practices will eventually be viewed as unethical as sweatshops are today. However, he acknowledges this transformation could take 50 years or more.

Nicholas Carr wrote The Shallows: What the Internet Is Doing to Our Brains. But his new book looks at how social media and digital communication technologies "are changing us individually and collectively," writes the Los Angeles Review of Books.

The book's title? Superbloom: How Technologies of Connection Tear Us Apart . But if these systems are indeed tearing us apart, the reasons are neither obvious nor simple. Carr suggests that this isn't really about the evil behavior of our tech overlords but about how we have "been telling ourselves lies about communication — and about ourselves.... Well before the net came along," says Carr, "[the] evidence was telling us that flooding the public square with more information from more sources was not going to open people's minds or engender more thoughtful discussions. It wasn't even going to make people better informed...."

At root, we're the problem. Our minds don't simply distill useful knowledge from a mass of raw data. They use shortcuts, rules of thumb, heuristic hacks — which is how we were able to think fast enough to survive on the savage savanna. We pay heed, for example, to what we experience most often. "Repetition is, in the human mind, a proxy for facticity," says Carr. "What's true is what comes out of the machine most often...." Reality can't compete with the internet's steady diet of novelty and shallow, ephemeral rewards. The ease of the user interface, congenial even to babies, creates no opportunity for what writer Antón Barba-Kay calls "disciplined acculturation."

Not only are these technologies designed to leverage our foibles, but we are also changed by them, as Carr points out: "We adapt to technology's contours as we adapt to the land's and the climate's." As a result, by designing technology, we redesign ourselves. "In engineering what we pay attention to, [social media] engineers [...] how we talk, how we see other people, how we experience the world," Carr writes. We become dislocated, abstracted: the self must itself be curated in memeable form. "Looking at screens made me think in screens," writes poet Annelyse Gelman. "Looking at pixels made me think in pixels...."

That's not to say that we can't have better laws and regulations, checks and balances. One suggestion is to restore friction into these systems. One might, for instance, make it harder to unreflectively spread lies by imposing small transactional costs, as has been proposed to ease the pathologies of automated market trading. An option Carr doesn't mention is to require companies to perform safety studies on their products, as we demand of pharmaceutical companies. Such measures have already been proposed for AI. But Carr doubts that increasing friction will make much difference. And placing more controls on social media platforms raises free speech concerns... We can't change or constrain the tech, says Carr, but we can change ourselves. We can choose to reject the hyperreal for the material. We can follow Samuel Johnson's refutation of immaterialism by "kicking the stone," reminding ourselves of what is real.

"Meta is involved in a class action lawsuit alleging copyright infringement, a claim the company disputes..." writes the tech news site Hot Hardware.

But the site adds that newly unsealed court documents "reveal that Meta allegedly used a minimum of 81.7TB of illegally torrented data sourced from shadow libraries to train its AI models." Internal emails further show that Meta employees expressed concerns about this practice. Some employees voiced strong ethical objections, with one noting that using content from sites like LibGen, known for distributing copyrighted material, would be unethical. A research engineer with Meta, Nikolay Bashlykov, also noted that "torrenting from a corporate laptop doesn't feel right," highlighting his discomfort surrounding the practice.

Additionally, the documents suggest that these concerns, including discussions about using data from LibGen, reached CEO Mark Zuckerberg, who may have ultimately approved the activity. Furthermore, the documents showed that despite these misgivings, employees discussed using VPNs to mask Meta's IP address to create anonymity, enabling them to download and share torrented data without it being easily traced back to the company's network.

"Security researchers say the Chinese government-linked hacking group, Salt Typhoon, is continuing to compromise telecommunications providers," reports TechCrunch, "despite the recent sanctions imposed by the U.S. government on the group."

TechRadar reports that the Chinese state-sponsored threat actor is "hitting not just American organizations, but also those from the UK, South Africa, and elsewhere around the world." The latest intrusions were spotted by cybersecurity researchers from Recorded Future, which said the group is targeting internet-exposed web interfaces of Cisco's IOS software that powers different routers and switches. These devices have known vulnerabilities that the threat actors are actively exploiting to gain initial access, root privileges, and more. More than 12,000 Cisco devices were found connected to the wider internet, and exposed to risk, Recorded Future further explained. However, Salt Typhoon is focusing on a "smaller subset" of telecoms and university networks.
"The hackers attempted to exploit vulnerabilities in at least 1,000 Cisco devices," reports NextGov, "allowing them to access higher-level privileges of the hardware and change their configuration settings to allow for persistent access to the networks they're connected on... Over half of the Cisco appliances targeted by Salt Typhoon were located in the U.S., South America and India, with the rest spread across more than 100 countries." Between December and January, the unit, widely known as Salt Typhoon, "possibly targeted" — based on devices that were accessed — offices in the University of California, Los Angeles, California State University, Loyola Marymount University and Utah Tech University, according to a report from cyber threat intelligence firm Recorded Future... The Cisco devices were mainly associated with telecommunications firms, but 13 of them were linked to the universities in the U.S. and some in other nations... "Often involved in cutting-edge research, universities are prime targets for Chinese state-sponsored threat activity groups to acquire valuable research data and intellectual property," said the report, led by the company's Insikt Group, which oversees its threat research.

The cyberspies also compromised Cisco platforms at a U.S.-based affiliate of a prominent United Kingdom telecom operator and a South African provider, both unnamed, the findings added. The hackers also "carried out a reconnaissance of multiple IP addresses" owned by Mytel, a telecom operator based in Myanmar...

"In 2023, Cisco published a security advisory disclosing multiple vulnerabilities in the web UI feature in Cisco IOS XE software," a Cisco spokesperson said in a statement. "We continue to strongly urge customers to follow recommendations outlined in the advisory and upgrade to the available fixed software release."

Remember Jeep's new in-dash pop-up ads which reportedly appeared every time you stopped?

"Since I'm a journalist, or at least close enough, I decided that I should at least get Stellantis/Jeep's side of things," writes car-culture site The Autopian: Would Stellantis do something so woefully misguided and annoying? I reached out to our Stellantis/Jeep contact to ask and was initially told that they were "investigating" on their end, which to me felt like a stalling tactic while the proper ass-covering plans were conceived. I eventually got this response from a Stellantis spokesperson:

"This was an in-vehicle message designed to inform Jeep customers about Mopar extended vehicle care options. A temporary software glitch affected the ability to instantly opt out in a few isolated cases, though instant opt-out is the standard for all our in-vehicle messages. Our team had already identified and corrected the error, and we are following up directly with the customer to ensure the matter is fully resolved..."

I suppose a glitch is possible, though I've not seen any examples of this ad popping up with the instant opt-out option available, but I guess it must exist, since not all Jeep owners seem to have had to deal with these ads. I suspect if this was happening to more people than these "few isolated cases" we'd still be cleaning up from the aftermath of the riots and uprisings.
Because, as they write, "Really, I can't think of a quicker way to incur the wrath of nearly every human..."

Most virtual meeting platforms these days include AI-powered notetaking tools or bots that join meetings as guests, transcribe discussions, and/or summarize key points. "The tech companies behind them might frame it as a step forward in efficiency, but the technology raises troubling questions around etiquette and privacy and risks undercutting the very communication it's meant to improve (paywalled; alternative source)," writes Chris Stokel-Walker in a Weekend Essay for Bloomberg. From the article: [...] The push to document every workplace interaction and utterance is not new. Having a paper trail has long been seen as a useful thing, and a record of decisions and action points is arguably what makes a meeting meaningful. The difference now is the inclusion of new technology that lacks the nuance and depth of understanding inherent to human interaction in a meeting room. In some ways, the prior generation of communication tools, such as instant messaging service Slack, created its own set of problems. Messaging that previously passed in private via email became much more transparent, creating a minefield where one wrong word or badly chosen emoji can explode into a dispute between colleagues. There is a similar risk with notetaking tools. Each utterance documented and analyzed by AI includes the potential for missteps and misunderstandings.

Anyone thinking of bringing an AI notetaker to a meeting must consider how other attendees will respond, says Andrew Brodsky, assistant professor of management at the McCombs School of Business, part of the University of Texas at Austin. Colleagues might think you want to better focus on what is said without missing out on a definitive record of the discussion. Or they might think, "You can't be bothered to take notes yourself or remember what was being talked about," he says. For the companies that sell these AI interlopers, the upside is clear. They recognize we're easily nudged into different behaviors and can quickly become reliant on tools that we survived without for years. [...] There's another benefit for tech companies getting us hooked on AI notetakers: Training data for AI systems is increasingly hard to come by. Research group Epoch AI forecasts there will be a drought of usable text possibly by next year. And with publishers unleashing lawsuits against AI companies for hoovering up their content, the tech firms are on the hunt for other sources of data. Notes from millions of meetings around the world could be an ideal option.

For those of us who are the source of such data, however, the situation is more nuanced. The key question is whether AI notetakers make office meetings more useless than so many already are. There's an argument that meetings are an important excuse for workers to come together and talk as human beings. All that small talk is where good ideas often germinate -- that's ostensibly why so many companies are demanding staff return to the office. But if workers trade in-person engagement for AI readbacks, and colleagues curb their words and ideas for fear of being exposed by bots, what's left? If the humans step back, all that remains is a series of data points and more AI slop polluting our lives.

An anonymous reader quotes a report from VentureBeat: A new startup PIN AI (not to be confused with the poorly reviewed hardware device the AI Pin by Humane) has emerged from stealth to launch its first mobile app, which lets a user select an underlying open-source AI model that runs directly on their smartphone (iOS/Apple iPhone and Google Android supported) and remains private and totally customized to their preferences. Built with a decentralized infrastructure that prioritizes privacy, PIN AI aims to challenge big tech's dominance over user data by ensuring that personal AI serves individuals -- not corporate interests. Founded by AI and blockchain experts from Columbia, MIT and Stanford, PIN AI is led by Davide Crapis, Ben Wu and Bill Sun, who bring deep experience in AI research, large-scale data infrastructure and blockchain security. [...]

PIN AI introduces an alternative to centralized AI models that collect and monetize user data. Unlike cloud-based AI controlled by large tech firms, PIN AI's personal AI runs locally on user devices, allowing for secure, customized AI experiences without third-party surveillance. At the heart of PIN AI is a user-controlled data bank, which enables individuals to store and manage their personal information while allowing developers access to anonymized, multi-category insights -- ranging from shopping habits to investment strategies. This approach ensures that AI-powered services can benefit from high-quality contextual data without compromising user privacy. [...] The new mobile app launched in the U.S. and multiple regions also includes key features such as:

- The "God model" (guardian of data): Helps users track how well their AI understands them, ensuring it aligns with their preferences.
- Ask PIN AI: A personalized AI assistant capable of handling tasks like financial planning, travel coordination and product recommendations.
- Open-source integrations: Users can connect apps like Gmail, social media platforms and financial services to their personal AI, training it to better serve them without exposing data to third parties.
- "With our app, you have a personal AI that is your model," Crapis added. "You own the weights, and it's completely private, with privacy-preserving fine-tuning." Davide Crapis, co-founder of PIN AI, told VentureBeat that the app currently supports several open-source AI models, including small versions of DeepSeek and Meta's Llama. "With our app, you have a personal AI that is your model," Crapis added. "You own the weights, and it's completely private, with privacy-preserving fine-tuning."

You can sign up for early access to the PIN AI app here.

A hedge fund startup that uses AI to do work typically handled by analysts has outperformed the global stock market in its first six months while slashing research costs. From a report: The Sydney-based firm, Minotaur Capital, was founded by Armina Rosenberg and Thomas Rice. Rosenberg previously managed a global equities portfolio for tech billionaire Mike Cannon-Brookes and ran Australian small-company research for JPMorgan Chase & Co. when she was 25. Rice is a former portfolio manager at Perpetual. The duo's bets on global stocks returned 13.7% in the six months ending January, versus 6.7% for the MSCI All-Country World Index. Minotaur has no analysts on staff, with Rosenberg saying AI models are far quicker and cheaper.

"We're looking at about half the price" in terms of cost of AI versus a junior analyst salary, Rosenberg, 37, said of the firm's program. Minotaur is among a growing number of hedge funds experimenting with ways to improve returns and cut expenses with AI as the technology becomes increasingly sophisticated. Still, the jury is still out on the ability of AI-driven models to deliver superior returns over the long run.

Alibaba will partner with Apple to support AI features on iPhones in China, sending Alibaba's shares surging over 9% to a three-year high. Reuters reports: "They talked to a number of companies in China. In the end they chose to do business with us. They want to use our AI to power their phones. We feel extremely honored to do business with a great company like Apple," Tsai said at the World Government Summit in Dubai. Apple continues to work with Baidu on AI features for iPhones in China, The Information reported on Thursday, citing two people with direct knowledge of the matter.

While Apple's phones outside China utilize a combination of its proprietary Apple Intelligence and OpenAI's ChatGPT, Tsai did not specify whether the Alibaba partnership would follow a similar model. In China, consumer-facing AI products require regulatory approval, and The Information reported earlier that both Alibaba and Apple have already submitted materials to authorities. "Instead of viewing the Alibaba-Apple partnership through the lens of China's AI strength, the partnership is mainly a recognition of Alibaba's AI capability," said Lian Jye Su, a chief analyst at tech research firm Omdia.

Reddit's recent earnings report revealed that AI licensing deals with Google and OpenAI account for about 10% of its $1.3 billion revenue, totaling approximately $130 million. With Google paying $60 million, OpenAI is estimated to be paying Reddit around $70 million annually for content licensing. Adweek reports: "It's a small part of our revenue -- I'll call it 10%. For a business of our size, that's material, because it's valuable revenue," [said the company's COO Jen Wong]. The social platform -- which on Wednesday reported a 71% year-over-year lift in fourth-quarter revenue -- has been "very thoughtful" about the AI developers it chooses to work with, Wong said. To date, the company has inked two content licensing deals: one with Google for a reported $60 million, and one with ChatGPT parent OpenAI.

Reddit has elected to work only with partners who can agree to "specific terms ... that are really important to us." These terms include user privacy protections and conditions regarding "how [Reddit is] represented," Wong said. While licensing agreements with AI firms offer a valuable business opportunity for Reddit, advertising remains the company's core revenue driver. Much of Reddit's $427.7 million Q4 revenues were generated by the ongoing expansion of its advertising business. And its ad revenue as a whole grew 60% YoY, underscoring the platform's growing appeal to brands. [...]

Helping to accelerate ad revenue growth is Reddit's rising traffic. While Reddit's Q4 user growth came in under Wall Street projections, causing shares to dip, its weekly active uniques grew 42% YoY to over 379 million visitors. Average revenue per unique visitor was $4.21 during the quarter, up 23% from the prior year. While Google is "nicely reinforcing" Reddit's growth in traffic, Wong said, she added that the site's logged-in users, which have grown 27% year-over-year, are "the bedrock of our business."

An anonymous reader quotes a report from Ars Technica: Conde Nast and several other media companies sued the AI startup Cohere today, alleging that it engaged in "systematic copyright and trademark infringement" by using news articles to train its large language model. "Without permission or compensation, Cohere uses scraped copies of our articles, through training, real-time use, and in outputs, to power its artificial intelligence ('AI') service, which in turn competes with Publisher offerings and the emerging market for AI licensing," said the lawsuit (PDF) filed in US District Court for the Southern District of New York. "Not content with just stealing our works, Cohere also blatantly manufactures fake pieces and attributes them to us, misleading the public and tarnishing our brands."

Conde Nast, which owns Ars Technica and other publications such as Wired and The New Yorker, was joined in the lawsuit by The Atlantic, Forbes, The Guardian, Insider, the Los Angeles Times, McClatchy, Newsday, The Plain Dealer, Politico, The Republican, the Toronto Star, and Vox Media. The complaint seeks statutory damages of up to $150,000 under the Copyright Act for each infringed work, or an amount based on actual damages and Cohere's profits. It also seeks "actual damages, Cohere's profits, and statutory damages up to the maximum provided by law" for infringement of trademarks and "false designations of origin."

In Exhibit A (PDF), the plaintiffs identified over 4,000 articles in what they called an "illustrative and non-exhaustive list of works that Cohere has infringed." Additional exhibits provide responses to queries (PDF) and "hallucinations" (PDF) that the publishers say infringe upon their copyrights and trademarks. The lawsuit said Cohere "passes off its own hallucinated articles as articles from Publishers." Cohere said in a statement to Ars: "Cohere strongly stands by its practices for responsibly training its enterprise AI. We have long prioritized controls that mitigate the risk of IP infringement and respect the rights of holders. We would have welcomed a conversation about their specific concerns -- and the opportunity to explain our enterprise-focused approach -- rather than learning about them in a filing. We believe this lawsuit is misguided and frivolous, and expect this matter to be resolved in our favor."

Further reading: Thomson Reuters Wins First Major AI Copyright Case In the US

An anonymous reader quotes a report from KrebsOnSecurity: In mid-March 2024, KrebsOnSecurity revealed that the founder of the personal data removal service Onerep also founded dozens of people-search companies. Shortly after that investigation was published, Mozilla said it would stop bundling Onerep with the Firefox browser and wind down its partnership with the company. But nearly a year later, Mozilla is still promoting it to Firefox users. [Using OneRep is problematic because its founder, Dimitri Shelest, also created and maintained ownership (PDF) in multiple people-search and data broker services, including Nuwber, which contradicts OneRep's stated mission of protecting personal online security. Additionally, OneRep appears to have ties with Radaris, a people-search service known for ignoring or failing to honor opt-out requests, raising concerns about the true intentions and effectiveness of OneRep's data removal service.]

In October 2024, Mozilla published a statement saying the search for a different provider was taking longer than anticipated. "While we continue to evaluate vendors, finding a technically excellent and values-aligned partner takes time," Mozilla wrote. "While we continue this search, Onerep will remain the backend provider, ensuring that we can maintain uninterrupted services while we continue evaluating new potential partners that align more closely with Mozilla's values and user expectations. We are conducting thorough diligence to find the right vendor." Asked for an update, Mozilla said the search for a replacement partner continues.

"The work's ongoing but we haven't found the right alternative yet," Mozilla said in an emailed statement. "Our customers' data remains safe, and since the product provides a lot of value to our subscribers, we'll continue to offer it during this process." It's a win-win for Mozilla that they've received accolades for their principled response while continuing to partner with Onerep almost a year later. But if it takes so long to find a suitable replacement, what does that say about the personal data removal industry itself?