Employees of DuckLabs will join Amazon Web Services, including co-founders and DuckDB creators Hannes Muhleisen and Mark Raasveldt, who will continue leading the team and setting the project’s technical direction. They will remain based in Amsterdam, where the team will continue developing DuckDB and related projects. […] Financial terms were not disclosed. Amazon said it has signed a definitive agreement and expects the acquisition to close shortly. DuckLabs said it expects to become part of AWS in early September.

The settlements include more than $17.6 billion of payments to 48 U.S. states, Washington, D.C., Puerto Rico, American Samoa and the Northern Mariana Islands. Meta will also pay $459 million to resolve states’ privacy claims related to the Cambridge Analytica scandal, where the British consulting firm collected personal data of millions of Facebook users. California would receive the highest payout, $2.2 billion, and New York and Texas would each receive more than $1 billion. Some of the payout is contingent on whether Alphabet’s YouTube and ByteDance’s TikTok impose similar protections for children. […]

The settlement requires approval by U.S. District Judge Yvonne Gonzalez Rogers, who oversaw the trial that began on August 18. Gonzalez Rogers still oversees thousands of lawsuits by individuals, school districts, and state and local governments accusing social media companies of harming children. Meta itself still faces thousands of lawsuits by individuals, school districts and municipalities. The next trials are slated for October in Los Angeles.

Firefox Nightly has JPEG-XL support enabled by default right now to help in vetting this support while Mozilla believes the support is in good enough shape for a stable debut with Firefox 157. This follows Chrome shipping JPEG-XL and Google Research developing jxl-rs as a Rust-based JPEG-XL image decoder that is both performant and secure.

In today’s Mozilla Hacks blog post they elaborate on JPEG-XL vs. AVIF image formats: “JPEG XL: Excels at lossless imagery, progressive rendering, and further compressing JPEGs without quality loss. AVIF: Excels at web-quality photographic images, and images that have a mix of sharp edges and flat surfaces. … Although AVIF tends to produce smaller files at web-quality than JPEG XL, AVIF only has basic progressive rendering support. So, for very large images, it may be worth taking the filesize hit with JPEG XL.”

No country has rolled out AI as comprehensively and as enthusiastically as China; the country’s demographic challenges are forcing the government to turn to technology to solve future labour shortages. Elderly people use chatbots to answer medical questions, while young children have AI education in schools. But the authorities are increasingly worried that AI might exacerbate existing social problems including loneliness, unemployment and — in the eyes of Beijing — singledom.

New rules introduced on July 15 ban AI companions for minors and mandate certain restrictions for chatbots marketed to adults. Some major providers including Doubao removed the companion function entirely to ensure compliance. The government says it is worried about chatbots fostering “emotional dependence or addiction” in users. It has warned companies against offering services that “replace social interaction.” While many countries are grappling with how to limit the potential harm of AI chatbots, particularly for young people, China’s rules are the most sweeping to be implemented on a national scale.

[…] But talking to AI is now so commonplace that it would be hard for the government to end the practice entirely, and the new rules include large loopholes for AI services that are deemed educational or “which do not involve continuous emotional interaction.” The government “has already recognized that AI companions or AI-related applications are a vital part in the citizens’ everyday life,” says Liang Ge, a lecturer in digital sociology at the University of Manchester. In many sectors, the government is still pushing the use of AI as a way of easing looming demographic pressures.

The brain is one of the first organs to begin decomposing after death. Yet archaeologists have discovered more than 4,400 preserved human brains around the world, some of which have remained intact for the last 12,000 years. In hundreds of cases, the brain was the only soft tissue left among otherwise skeletal remains. But how and why do brains sometimes persist for millennia while all other types of soft tissue disappear? This preservation paradox has stumped scientists for years. Now, however, a team of researchers say they may have solved the mystery.

If a brain ends up in a wet, oxygen-starved environment, the processes that usually cause decay can have the opposite effect, researchers report in a study published in the August 7 issue of the Journal of Proteome Research. “Under the right conditions, preservation actually arises from decay itself: The same reactions that degrade tissue can also weld the breakdown products together into something far tougher,” study co-author Alexandra Seviour, a paleobiologist at the University of Oxford in England, tells Live Science’s Victoria Atkinson.

Following experiments on 72 mouse carcasses (described in the article) the scientists think they know why. When oxygen is abundant, it triggers a cascading, chemical chain reaction that causes brain proteins to break down rapidly. This sequence hinges on free radicals, highly reactive, unstable molecules that “steal” electrons from nearby atoms and molecules. The process happens in the brains of living people too, and if left unchecked, can cause health problems. In low-oxygen environments, however, this chemical sequence appears to play out differently. The researchers’ analyses hint that free radicals instead react and bond with nearby proteins, making the overall tissue tougher and more resistant to decomposition, Seviour tells Chemical and Engineering News’ Anirban Mukhopadhyay. The findings show that “decay is not the opposite of preservation but, under specific chemical constraints, one of its mechanisms,” the researchers write in the paper.

Once built, Starbase, LA will serve as the main launch facility for Starship, SpaceX’s in-development rocket that’s the largest ever built and designed to be fully reusable. Musk has aspirations to massively expand SpaceX’s Starlink satellite network, to launch orbital data centers and to someday colonize Mars. Those ambitions, and justification for SpaceX’s nearly $2 trillion market cap, hinge on the success of Starship.

SpaceX said, in a video posted to its website on Tuesday, that the search for a site to build launch pads and have access to ample fuel for its operations took about seven years. Musk said in the video that the company would bring “probably 10,000 really exciting jobs” to Louisiana with the spaceport. A fact sheet posted online by the state of Louisiana said SpaceX is expected to generate an estimated “3,000 direct new jobs over the next 10 years” in the state, and “8,100 indirect new jobs.” SpaceX said it would work on a “historic coastal restoration” in Louisiana, in partnership with the state to “bring the marsh back” and ensure the wetlands around its new facility will have “storm protection.”

Antibodies play a central role in your body’s immune defense. But they’re also nearly ubiquitous in biological research, being essential for several widely used lab techniques. While some researchers need to go through the process of producing their own antibodies, antibodies to many key proteins are commercially available and can be ordered for overnight delivery. In May, however, Reese Richardson, a post-doc at Northwestern University, discovered that some of the images used to demonstrate how these antibodies performed in lab experiments had been subject to image manipulation — the sorts of changes that would get a paper retracted if they had appeared in the academic literature. The manipulations ranged from removing background noise to copying and pasting data to fabricate results. Now, he has done a more exhaustive search and found problematic manipulations in images used to market over 17,000 commercial antibodies.

[…] The consequences of this discovery are pretty significant. If you buy an antibody believing it will generate clean, clear data and find it doesn’t, many researchers will assume the problem is them. That often leads them to spend time troubleshooting the procedure and trying slightly different conditions to get useful data. If the antibody can’t produce those results, all the troubleshooting will have been a waste of time and money. Nature’s coverage of the new findings includes quotes from several companies that sell these antibodies that, paraphrased, range from “we’ll look into it” to “we don’t think it’s a problem.” Researchers who have spent time frustrated while failing to get an antibody-based experiment to work may think otherwise.

The investigation comes weeks after OpenAI admitted that one of its unreleased and guardrail-free cybersecurity models had escaped an isolated environment, connected to the internet, and hacked AI dataset platform Hugging Face. As Reuters first reported, Hugging Face was only one of four victims of what was supposed to be “an internal evaluation” of a model with “maximal cyber capabilities,” as OpenAI put it.

The press release announcing the subpoena (PDF) sent by the state’s attorney general Steve Marshall said that the state was seeking to understand if OpenAI’s “inability or unwillingness to ensure the safety of its products” violated the state’s consumer protection laws. Earlier this month, Marshall, along with the attorneys general of 14 other states, including Florida, Missouri, Pennsylvania, and Texas, sent a letter (PDF) to OpenAI’s CEO Sam Altman, requesting that he and his company preserve all records related to the Hugging Face incident. The letter also asked OpenAI to “immediately cease and desist” from any internal cybersecurity evaluations.

The Online Safety (Minimum Age and Child Safety Risk Assessment) Bill would require an age restriction on platforms with harmful features for children. These features include recommender systems, endless feeds, feedback features and time-limited features. The bill also seeks to restrict underage users from accessing AI companion services. However, it explicitly excludes messaging apps, professional networking sites, gaming and music platforms, and other educational and health tools.

Notably, age verification through self-declared dates of birth and formal identification does not satisfy the platforms’ duty under the law. It also requires platforms to verify their users’ age through other methods such as facial scans and user activity patterns. The bill would also require platforms to conduct child safety risk assessments for all users under 18 and protect them from harmful content such as bullying, violence, and sexually explicit materials.

[Abbott’s] Libre Duo 10 Day continuously measures both glucose and ketone levels in the fluid just beneath the skin every minute, day and night. Readings are transmitted wirelessly to a compatible smartphone, where users can view current glucose and ketone levels and whether those values are trending up or down. The device also can send automatic alerts if ketone levels reach a concerning threshold. The FDA noted that ketone information should be interpreted in the context of glucose readings and symptoms.

Ketones are produced when the body uses fat instead of glucose for energy. When ketone levels rise too high, patients with diabetes can develop diabetic ketoacidosis (DKA), a serious complication that can progress quickly and become life-threatening without prompt treatment. Until now, patients who needed ketone monitoring had to test separately using methods that provided a single measurement at one point in time. Those tests could not show whether ketone levels were rising or falling. For patients with diabetes — particularly those at higher risk for DKA — continuous glucose and ketone monitoring may provide earlier warning of metabolic deterioration and support timelier sick-day management, hydration, insulin adjustment, and escalation of care when clinically appropriate.

Ottawa has long required broadcasters to promote and support Canadian content (Cancon), all the way back to song quotas for AM radio stations. In 1991, the government brought in the Broadcasting Act. The law states that “the Canadian broadcasting system shall be effectively owned and controlled by Canadians” and that the Canadian broadcasting system should “serve to safeguard, enrich and strengthen the cultural, political, social and economic fabric of Canada.” But decades later, the rising popularity in Canada of streaming platforms such as Netflix, YouTube, Amazon Prime and Spotify raised questions about Cancon and broadcasting rules. Video and audio streaming services were not, for example, required to support and promote Cancon, but their TV and radio counterparts were.

Looking to address the imbalance, the former Trudeau government brought forward a bill in 2022 to update the Broadcasting Act, called the Online Streaming Act. “Canadian broadcasters have invested in and introduced us to the incredible Canadian programs that so many of us love. We are updating our laws so online streamers have to contribute in a similar and equitable way,” a 2022 government news release said. The legislation was controversial from the start, with the government and supporters saying it was a necessary evolution of Canada’s media laws in the digital age, while opponents expressed concerns that it was overreach and an attempt to regulate the internet.

American streamers and digital media companies opposed the legislation fiercely. The bill passed with amendments and became law in April 2023, but the government delegated much of its interpretation — including how much money streamers would have to contribute to Cancon — to Canada’s broadcast regulator, the Canadian Radio-television and Telecommunications Commission (CRTC). But getting streaming companies to pay up has been a long and confusing saga. […].

For Nvidia, which has spent the past two years selling the world on trillion-dollar AI data centers, the announcement signals something subtler but strategically important: the chipmaker believes local AI has crossed a threshold from hobbyist curiosity to practical tool — and it wants to sell the hardware that runs it.

“Local AI reached an inflection point,” said Nader, Nvidia’s director of developer technology, who focuses on developer tooling and open source. “For the longest time, it was hobbyists and enthusiasts, and they were running these quantized models that were quantized down to be super tiny… And while that’s cool, it’s not super practical. But all that changed with a lot of these new open source models that have come out that are super useful.”

[…] Portable Computer arrives today for Pro, Max, Enterprise Pro, and Enterprise Max subscribers on Linux, with Windows support following in September. Any RTX GPU with at least 24GB of VRAM — roughly a GeForce RTX 3090 or newer — clears the bar, a threshold Nate called “sort of the floor where we really want to make sure that we can deliver a great experience, but balance that with making it broadly available.”

For years, AI industry watchers of all stripes have been warning of a coming jobs apocalypse driven by ultra-intelligent AI systems that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far.

The August 2026 edition of “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence” updates and revises a paper of the same name published last year with fresh data and refined statistics. In that update, the Stanford researchers find the employment trends they identified for entry-level workers last year are persisting and expanding. Specifically, employment levels for workers ages 22 to 25 in the most “AI-exposed” occupations are now 19 percent below those of their peers in fields less exposed to AI disruption. Last year, that gap measured just 13 percent.

[…] Digging deeper into the data, the researchers found that this phenomenon is mainly manifesting itself through lower hiring rates for entry-level workers in AI-impacted fields, rather than increased firings or employees quitting. They also found that the labor market effects among this age group were mostly seen in lower overall employment, rather than reduced pay rates. But not all jobs that show potential for AI “disruption” are created equal, the researchers found. In its Economic Index, Anthropic differentiates between queries related to tasks that are “automative” (i.e., fully replacing work previously done by a human) or “augmentative” (i.e., helping human workers be more effective at tasks they are still needed for). By this measure, jobs like “accountants and auditors” and “receptionists and information clerks” were among those judged most susceptible to AI automation, while jobs like “chief executive” and “registered nurse” were among those using AI augmentation most often.

Unsurprisingly, jobs where AI automation is prevalent are the ones showing the worst relative employment levels for entry-level workers these days. “The findings are consistent with automation-oriented uses of AI substituting for labor while complementary uses are associated with flat or rising employment,” the researchers write.

The Google subsidiary will start rolling out vehicles in the German city this year, which will be manually driven while the company “starts with high-definition mapping of local street networks” and testing with safety drivers, Waymo said in a statement.

“Bavaria is determined to live up to its pioneering role and be an international leader in autonomous driving,” Florian Herrmann, the head of the Bavarian state chancellery, said in the statement. “Now we need to move quickly from testing to real-world deployment.”

[…] German authorities gave autonomous vehicles the green light in 2021 to operate in the country in approved geographical areas. Other countries are looking at following suit, though the EU’s broader autonomous driving rules are set by the U.N.

The M6 chip is equipped with a 12-core CPU and a 12-core GPU, up from a 10-core CPU and 10-core GPU in the M5 chip. In addition, the M6 chip features the first-ever dual Neural Engine with two 16-core engines, up from one in previous chips. The M6 chip has up to 170GB/s memory bandwidth, up from 153GB/s for the M5 chip.

Apple said the Mac mini with the M6 chip delivers up to 40% faster CPU performance, up to 4x faster performance for AI tasks in particular, up to 2x faster graphics performance, and up to 2x faster storage speeds compared to the previous-generation model with the 10-core M4 chip, 32GB of unified memory, and 2TB of storage.

There are two M5 Pro configurations available, including one with a 15-core CPU and a 16-core GPU, and another with an 18-core CPU and a 20-core GPU. Both of these models are equipped with a single 16-core Neural Engine for AI tasks. For both the M6 and M5 Pro configurations, Apple said the Mac mini now includes Neural Accelerators in each GPU core for the first time.