Thrasio, which acquires third-party Amazon sellers, filed for Chapter 11 bankruptcy protection and received commitments for $90 million in new financing from existing shareholders, it said on Wednesday. From a report: Thrasio also entered into a restructuring agreement with some of its lenders to reduce debt of $495 million from its existing debt pile, it said in a statement. It listed its estimated assets in the range of $1 billion to $10 billion and estimated liabilities of $500 million to $1 billion, according to a document filed with the New Jersey bankruptcy court. Billions of dollars, primarily in loans and other debt instruments, were invested into newly-formed startups aggregating third-party merchants on Amazon's marketplace during the COVID-19 pandemic as investors bet heavily on a prolonged explosion in online shopping. But as lockdowns eased and consumers returned to brick-and-mortar stores, sales growth on Amazon slowed, leaving these heavily-indebted "roll-up" companies struggling to service interest payments.

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Google CEO Sundar Pichai addressed the company's Gemini controversy Tuesday evening, calling the AI app's problematic responses around race unacceptable and vowing to make structural changes to fix the problem. The memo: I want to address the recent issues with problematic text and image responses in the Gemini app (formerly Bard). I know that some of its responses have offended our users and shown bias -- to be clear, that's completely unacceptable and we got it wrong. Our teams have been working around the clock to address these issues. We're already seeing a substantial improvement on a wide range of prompts. No AI is perfect, especially at this emerging stage of the industry's development, but we know the bar is high for us and we will keep at it for however long it takes. And we'll review what happened and make sure we fix it at scale. Our mission to organize the world's information and make it universally accessible and useful is sacrosanct. We've always sought to give users helpful, accurate, and unbiased information in our products. That's why people trust them. This has to be our approach for all our products, including our emerging AI products. We'll be driving a clear set of actions, including structural changes, updated product guidelines, improved launch processes, robust evals and red-teaming, and technical recommendations. We are looking across all of this and will make the necessary changes. Even as we learn from what went wrong here, we should also build on the product and technical announcements we've made in AI over the last several weeks. That includes some foundational advances in our underlying models e.g. our 1 million long-context window breakthrough and our open models, both of which have been well received. We know what it takes to create great products that are used and beloved by billions of people and businesses, and with our infrastructure and research expertise we have an incredible springboard for the AI wave. Let's focus on what matters most: building helpful products that are deserving of our users' trust.

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An anonymous reader shares a report (paywalled): As Google grapples with the backlash over the historically inaccurate responses on its Gemini chatbot, Meta Platforms is dealing with a related issue. As part of its work on the forthcoming version of its large language model, Llama 3, Meta is trying to overcome a problem perceived in Llama 2: Its answers to anything at all contentious aren't helpful. Safeguards added to Llama 2, which Meta released last July and which powers the artificial intelligence assistant in its apps, prevent the LLM from answering a broad range of questions deemed controversial. These guardrails have made Llama 2 appear too "safe" in the eyes of Meta's senior leadership, as well as among some researchers who worked on the model itself, according to people who work at Meta. [...] Meta's conservative approach with Llama 2 was designed to ward off any public relations disasters, said the people who work at Meta. But researchers are now trying to loosen up Llama 3 so it engages more with users when they ask about difficult topics, offering context rather than just shutting down tricky questions, said two of the people who work at Meta. The new version of the model will in theory be able to better distinguish when a word has multiple meanings. For example, Llama 3 might understand that a question about how to kill a vehicle's engine means asking how to shut it off rather than end its life. Meta also plans to appoint someone internally in the coming weeks to oversee tone and safety training as part of its efforts to make the model's responses more nuanced, said one of the people. The company plans to release Llama 3 in July, though the timeline could still change, they added.

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Tontoman shares a report: The White House Office of the National Cyber Director (ONCD) urged tech companies to switch to memory-safe programming languages, such as Rust, to improve software security by reducing the number of memory safety vulnerabilities. Such vulnerabilities are coding errors or weaknesses within software that can lead to memory management issues when memory can be accessed, written, allocated, or deallocated. They occur when software accesses memory in unintended or unsafe ways, resulting in various security risks and issues like buffer overflow, use after free, use of uninitialized memory, and double free that attackers can exploit. Successful exploitation carries severe risks, potentially enabling threat actors to gain unauthorized access to data or execute malicious code with the privileges of the system owner. "For over 35 years, this same class of vulnerability has vexed the digital ecosystem. The challenge of eliminating entire classes of software vulnerabilities is an urgent and complex problem. Looking forward, new approaches must be taken to mitigate this risk," ONCD's report says. "The highest leverage method to reduce memory safety vulnerabilities is to secure one of the building blocks of cyberspace: the programming language. Using memory safe programming languages can eliminate most memory safety errors."

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Over the past four centuries quadrillions of ants have created a strange and turbulent global society that shadows our own. An excerpt from an Aeon article: In their native ranges, these multi-nest colonies can grow to a few hundred metres across, limited by physical barriers or other ant colonies. This turns the landscape to a patchwork of separate groups, with each chemically distinct society fighting or avoiding others at their borders. Species and colonies coexist, without any prevailing over the others. However, for the 'anonymous societies' of unicolonial ants, as they're known, transporting a small number of queens and workers to a new place can cause the relatively stable arrangement of groups to break down. As new nests are created, colonies bud and spread without ever drawing boundaries because workers treat all others of their own kind as allies. What was once a patchwork of complex relationships becomes a simplified, and unified, social system. The relative genetic homogeneity of the small founder population, replicated across a growing network of nests, ensures that members of unicolonial species tolerate each other. Spared the cost of fighting one another, these ants can live in denser populations, spreading across the land as a plant might, and turning their energies to capturing food and competing with other species. Chemical badges keep unicolonial ant societies together, but also allow those societies to rapidly expand.

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Buy-now-pay-later lender Klarna said its AI assistant, powered by OpenAI, is doing the equivalent work of 700 full-time agents and has had 2.3 million conversations, equal to two-thirds of the company's customer service chats, within the first month of being deployed. The AI tool resolved errands much faster and matched human levels on customer satisfaction, Klarna said.

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President Joe Biden will issue an executive order on Wednesday aimed at curbing foreign governments' ability to buy Americans' sensitive personal information such as heath and geolocation data, according to senior US officials. From a report: The move marks a rare policy effort to address a longstanding US national security concern: the ease with which anyone, including a foreign intelligence services, can legally buy Americans' data and then use the information for espionage, hacking and blackmail. The issue, a senior Justice Department official told reporters this week, is a "growing threat to our national security." The executive order will give the Justice Department the authority to regulate commercial transactions that "pose an unacceptable risk" to national security by, for example, giving a foreign power large-scale access to Americans' personal data, the Justice Department official said. The department will also issue regulations that require better protection of sensitive government information, including geolocation data on US military members, according to US officials. A lot of the online trade in personal information runs through so-called data brokers, which buy information on people's Social Security numbers, names, addresses, income, employment history and criminal background, as well as other items. "Countries of concern, such as China and Russia, are buying Americans' sensitive personal data from data brokers," a separate senior administration official told reporters. In addition to health and location data, the executive order is expected to cover other sensitive information like genomic and financial data. Administration officials told reporters the new executive order would be applied narrowly so as not to hurt business transactions that do not pose a national security risk. The White House's press release.

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San Francisco will vote next week on a divisive ballot measure that would authorize police to use surveillance cameras, drones and AI-powered facial recognition as the city struggles to restore a reputation tarnished by street crime and drugs. From a report: The Safer San Francisco initiative, formally called Proposition E, is championed by Mayor London Breed who believes disgruntled citizens will approve the proposal on Tuesday. Although technology fueled the Silicon Valley-adjacent city's decades-long boom, residents have a history of being deeply suspicious. In 2019, San Francisco, known for its progressive politics, became the first large U.S. city to ban government use of facial recognition due to concerns about privacy and misuse. Breed, who is running for re-election in November, played down the potential for abuse under the ballot measure, saying safeguards are in place. "I get that people are concerned about privacy rights and other things, but technology is all around us," she said in an interview. "It's coming whether we want it to or not. And everyone is walking around with AI in their hands with their phones, recording, videotaping," Breed said. Critics of the proposal contend it could hurt disadvantaged communities and lead to false arrests, arguing surveillance technology requires greater oversight.

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EU lawmakers on Wednesday approved draft rules governing patents key to technologies for telecom equipment and connected cars in the face of criticism from Nokia, Ericsson and other patent holders. From a report: The draft rules proposed by the European Commission in April last year seek to end costly and lengthy litigation over patents used in technologies for telecom equipment, mobile phones, computers, connected cars and smart devices. The European Parliament will now have to thrash out the details of the proposed rules with EU countries before it can become law. Nokia, Ericsson and Siemens in a letter to EU lawmakers in January, highlighted concerns from the European Patent Office, standard-setting body ETSI and other bodies on the draft rules. Lobbying group IP Europe, which counts Nokia, Ericsson and Qualcomm as its members, reiterated its opposition to the draft rules. "The beneficiaries would not be SMEs as claimed but big tech," IP Europe's managing director Patrick McCutcheon said ahead of the lawmakers' vote.

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Intel's previously-unannounced Intel 10A (analogous to 1nm) will enter production/development in late 2027, marking the arrival of the company's first 1nm node, and its 14A (1.4nm) node will enter production in 2026. The company is also working to create fully autonomous AI-powered fabs in the future. Tom's Hardware: Intel's Keyvan Esfarjani, the company's EVP and GM and Foundry Manufacturing and Supply, held a very insightful session that covered the company's latest developments and showed how the roadmap unfolds over the coming years. Here, we can see two charts, with the first outlining the company's K-WSPW (thousands of wafer starts per week) capacity for Intel's various process nodes. Notably, capacity typically indicates how many wafers can be started, but not the total output -- output varies based on yields. You'll notice there isn't a label for the Y-axis, which would give us a direct read on Intel's production volumes. However, this does give us a solid idea of the proportionality of Intel's planned node production over the next several years. Intel did not specify the arrival date of its coming 14A node in its previous announcements, but here, the company indicates it will begin production of the Intel 14A node in 2026. Even more importantly, Intel will begin production/development of its as-yet-unannounced 10A node in late 2027, filling out its roster of nodes produced with EUV technology. Intel's 'A' suffix in its node naming convention represents Angstroms, and 10 Angstroms converts to 1nm, meaning this is the company's first 1nm-class node. Intel hasn't shared any details about the 10A/1nm node but has told us that it classifies a new node as at least having a double-digit power/performance improvement. Intel CEO Pat Gelsinger has told us the cutoff for a new node is around a 14% to 15% improvement, so we can expect that 10A will have at least that level of improvement over the 14A node. (For example, the difference between Intel 7 and Intel 4 was a 15% improvement.)

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Michael Larabel, reporting at Phoronix: One of the limitations of AMD's open-source Linux graphics driver has been the inability to implement HDMI 2.1+ functionality on the basis of legal requirements by the HDMI Forum. AMD engineers had been working to come up with a solution in conjunction with the HDMI Forum for being able to provide HDMI 2.1+ capabilities with their open-source Linux kernel driver, but it looks like those efforts for now have concluded and failed. For three years there has been a bug report around 4K@120Hz being unavailable via HDMI 2.1 on the AMD Linux driver. Similarly, there have been bug reports like 5K @ 240Hz not possible either with the AMD graphics driver on Linux. As covered back in 2021, the HDMI Forum closing public specification access is hurting open-source support. AMD as well as the X.Org Foundation have been engaged with the HDMI Forum to try to come up with a solution to be able to provide open-source implementations of the now-private HDMI specs. AMD Linux engineers have spent months working with their legal team and evaluating all HDMI features to determine if/how they can be exposed in their open-source driver. AMD had code working internally and then the past few months were waiting on approval from the HDMI Forum. Sadly, the HDMI Forum has turned down AMD's request for open-source driver support.

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Adobe has announced a new prototype tool called Project Music GenAI Control that allows users to create original music by inputting text prompts, then edit the audio without switching to separate software. Users can specify musical styles in their prompts to produce tracks like "happy dance" or "sad jazz." Adobe says integrated editing controls let users tweak patterns, tempo, intensity and structure of the AI-generated music. Sections can be remixed and looped as backing tracks or background music. The tool can also adjust audio "based on a reference melody" and extend clip length for set animations or podcasts. Details on editing interface and upload options for custom reference tracks are unclear.

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Citing potential national security risks, the Biden administration says it will investigate Chinese-made "smart cars" that can gather sensitive information about Americans driving them. From a report: The probe could lead to new regulations aimed at preventing China from using sophisticated technology in electric cars and other so-called connected vehicles to track drivers and their personal information. Officials are concerned that features such as driver assistance technology could be used to effectively spy on Americans. While the action stops short of a ban on Chinese imports, President Joe Biden said he is taking unprecedented steps to safeguard Americans' data. "China is determined to dominate the future of the auto market, including by using unfair practices," Biden said in a statement Thursday. "China's policies could flood our market with its vehicles, posing risks to our national security. I'm not going to let that happen on my watch." Biden and other officials noted that China has imposed wide-ranging restrictions on American autos and other foreign vehicles. Commerce Secretary Gina Raimondo said connected cars "are like smart phones on wheels" and pose a serious national security risk.

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Jacob Kaplan-Moss, one of the lead developers of Django, writes in a long post that he says has come from a place of frustration: [...] Instead, every time a maintainer finds a way to get paid, people show up to criticize and complain. Non-OSI licenses "don"t count" as open source. Someone employed by Microsoft is "beholden to corporate interests" and not to be trusted. Patreon is "asking for handouts." Raising money through GitHub sponsors is "supporting Microsoft's rent-seeking." VC funding means we're being set up for a "rug pull" or "enshitification." Open Core is "bait and switch." None of this is hypothetical; each of these examples are actual things I've seen said about maintainers who take money for their work. One maintainer even told me he got criticized for selling t-shirts! Look. There are absolutely problems with every tactic we have to support maintainers. It's true that VC investment comes with strings attached that often lead to problems down the line. It sucks that Patreon or GitHub (and Stripe) take a cut of sponsor money. The additional restrictions imposed by PolyForm or the BSL really do go against the Freedom 0 ideal. I myself am often frustrated by discovering that some key feature I want out of an open core tool is only available to paid licensees. But you can criticize these systems while still supporting and celebrating the maintainers! Yell at A16Z all you like, I don't care. (Neither do they.) But yelling at a maintainer because they took money from a VC is directing that anger in the wrong direction. The structural and societal problems that make all these different funding models problematic aren't the fault of the people trying to make a living doing open source. It's like yelling at someone for shopping at Dollar General when it's the only store they have access to. Dollar General's predatory business model absolutely sucks, as do the governmental policies that lead to food deserts, but none of that is on the shoulders of the person who needs milk and doesn't have alternatives.

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Journalist Eric Newcomer, writing at The Free Press: There was a time when I believed that self-driving cars should be held to the standard of airplanes. Every mistake needed to be rigorously understood and any human death was unforgivable. But my view has evolved over time as human drivers have continued to kill tens of thousands of people a year. We need a solution that's meaningfully better than human drivers, yes, but we shouldn't wait for perfection before we start getting dangerous human drivers off the streets. Lost in all the fulminating about automation and big-tech tyranny is the fact that self-driving cars are an attempt to solve a very serious problem. Traffic fatalities are a leading cause of death in the United States for anyone between the ages of 1 and 54. About 40,000 people die in car crashes a year in the U.S., with about one-third involving drunk drivers. There's a natural, though irrational, human bias toward the status quo. We tend to believe that things are the way they are for a good reason. But of course, technology has drastically improved human lives and human life spans already. Why stop now that more powerful computer chips and sophisticated artificial intelligence models open up new possibilities? [...] Leaving aside seething hostility toward tech and private capital, and worries over job losses, the most credible objection to self-driving cars from the left is the fear that deploying them means doubling down on roads and sprawl, and undermining support for public transportation projects. But there's no reason self-driving cars and public transportation need to be at odds. They can fulfill different needs. Autonomous vehicles are being deployed in San Francisco in fleets through ride-hailing programs, reducing the need for personal car ownership. If we can get self-driving cars working, self-driving buses on regular routes should be even easier. And contrary to the view that driverless cars are being deployed unilaterally by tech billionaires, the people's representatives -- government officials -- gave Alphabet-owned Waymo a license to operate. Our roads and motor vehicles are tightly regulated. Single incidents have derailed self-driving car projects, from Uber and more recently, GM-owned Cruise, while human drivers kill tens of thousands a year unimpeded.

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Angie Byron, a long-time member of the Drupal community, offers guidance on avoiding common mistakes and general good-practices for those new to contributing to open-source projects: [...] You might not know it yet, but as a newcomer to an open source project, you have this AMAZING superpower: you are often-times the only one in that whole project capable of reading the documentation through new eyes. Because I can guarantee, the people who wrote that documentation are not new. :-) So take time to read the docs and file issues (or better yet, pull requests) for anything that was unclear. This lets you get a "feel" for contributing in a project/community without needing to go way down the deep end of learning coding standards and unit tests and commit signing and whatever other bananas things they're about to make you do. :) Also, people are more likely to take time to help you, if you've helped them first!

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Eating ultraprocessed foods raises the risk of developing or dying from dozens of adverse health conditions, according to a new review of 45 meta-analyses on almost 10 million people. From a report: "We found consistent evidence linking higher intakes of ultra-processed foods with over 70% of the 45 different health outcomes we assessed," said senior author Wolfgang Marx, a senior research fellow at the Food & Mood Centre at Deakin University in Geelong, Australia, in an email. A higher intake was considered about one serving or about 10% more ultraprocessed foods per day, said Heinz Freisling, a scientist in the nutrition and metabolism branch of the World Health Organization's International Agency for Research on Cancer, in an email. "This proportion can be regarded as 'baseline' and for people consuming more than this baseline, the risk might increase," said Freisling, who was not involved in the study. Researchers graded each study as having credible or strong, highly suggestive, suggestive, weak or no evidence. All the studies in the review were published in the past three years, and none was funded by companies involved in the production of ultraprocessed foods, the authors said. "Strong evidence shows that a higher intake of ultra-processed foods was associated with approximately 50% higher risk of cardiovascular disease-related death and common mental disorders," said lead author Dr. Melissa Lane, a postdoctoral research fellow at Deakin, in an email. Cardiovascular disease encompasses heart attacks, stroke, clogged arteries and peripheral artery disease. The study: Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses (BMJ)

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Microsoft has outlined a new Windows API designed to offer a seamless way for game developers to integrate super resolution AI-upscaling features from Nvidia, AMD, and Intel. From a report: In a new blog post, program manager Joshua Tucker describes Microsoft's new DirectSR API as the "missing link" between games and super resolution technologies, and says it should provide "a smoother, more efficient experience that scales across hardware." "This API enables multi-vendor SR [super resolution] through a common set of inputs and outputs, allowing a single code path to activate a variety of solutions including Nvidia DLSS Super Resolution, AMD FidelityFX Super Resolution, and Intel XeSS," the post reads. The pitch seems to be that developers will be able to support this DirectSR API, rather than having to write code for each and every upscaling technology. The blog post comes a couple of weeks after an "Automatic Super Resolution" feature was spotted in a test version of Windows 11, which promised to "use AI to make supported games play more smoothly with enhanced details." Now, it seems the feature will plug into existing super resolution technologies like DLSS, FSR, and XeSS rather than offering a Windows-level alternative.

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Apple plans to disclose more about its plans to put generative AI to use later this year, Chief Executive Officer Tim Cook said during the company's annual shareholder meeting on Wednesday. From a report: Cook said that the iPhone maker sees "incredible breakthrough potential for generative AI, which is why we're currently investing significantly in this area. We believe that will unlock transformative opportunities for users when it comes to productivity, problem solving and more." Apple has been slower in rolling out generative AI, which can generate human-like responses to written prompts, than rivals such as Microsoftand Alphabet's Google, which are weaving them into products. On Wednesday, Cook argued that AI is already at work behind the scenes in Apple's products but said there would be more news on explicit AI features later this year. Bloomberg previously reported Apple plans to use AI to improve the ability to search through data stored on Apple devices. "Every Mac that is powered by Apple silicon is an extraordinarily capable AI machine. In fact, there's no better computer for AI on the market today," Cook said.

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