More than 81% of Australian children ages 10 to 15 were still using social media three months after the country's under-16 ban took effect, with roughly half saying platforms never checked their age. Reuters reports: In a study published on Friday, eSafety also found most children aged between 10 and 15 were using social media just as frequently in March as they had before the ban came into force on December 10 last year, while parental awareness of their habits decreased. Children's continued social media use took place even as account ownership declined to 42% from 52%, with "statistically significant" reductions across YouTube, Snapchat and TikTok in particular, the report said.

"Most under-16s who had social media accounts before commencement were able to either retain them or create new ones at the three-month mark, with social media platforms' failure to implement effective age assurance measures cited as the main reason," eSafety said in a statement [...] Before the ban, nearly 86% of children surveyed reported using at least one age-restricted platform. Three months later, that figure remained above 81%, the report said. About 58% of teenagers reported using social media daily or more often, barely down from roughly 60% before the ban, it found. The report showed minimal change in "sports and physical activity, arts and music, spending time with friends and family, and attendance at community events."

Around half the children who retained their accounts said platforms had not checked their age, the most common reason they were able to stay on the services. Others said their accounts listed them as aged 16 or older or that age-checking systems had incorrectly determined they were older. The findings broadly matched snapshot data eSafety published in late March.

Google has integrated its Nano Banana 2 image generator into Google Earth, allowing users to place AI-generated events and objects onto real satellite imagery. The company says its AI-generated images contain invisible watermarks detectable through Gemini or Lens, but the BBC found those safeguards and some third-party detection tools can be fooled into labeling manipulated Google Earth images as real. From the report: A collapsed Eiffel Tower, a sinkhole swallowing the Great Pyramid of Giza and Russian tanks in Ukraine's capital were among the images BBC Verify was able to create when testing the feature, which was rolled out on Thursday. Google has not yet responded to questions based on BBC Verify's tests, but in a social media post the company said they "take misinformation seriously" and that "we prevent image creation on harmful topics and are continually updating our protections."

AI and misinformation expert Henk van Ess has highlighted the risks this feature poses, creating fake images of a non-existent nuclear power plant in Iran, a refugee camp on the US-Mexico border and a fake hospital in Gaza with a bomb crater next to it. He said Google was allowing "invented" imagery to be "welded to genuine coordinates, drawn on genuine imagery." "The forgery does not have to look convincing on its own. It inherits the credibility of the map it was born on," van Ess added. UPDATE 7/31/26 10:54 AM: Google is rolling back the image generation inside of Google Earth: "We know that people uniquely trust Google Earth for a reliable view of the world. We've seen geospatial professionals using this feature for a range of useful purposes, however we've also seen people sharing screenshots of generated imagery that appear to violate our policies. So we're rolling back this feature in Google Earth while we work on implementing stronger guardrails. It's important to note that generated images didn't appear in the main Google Earth experience for others to see and were watermarked as AI generated."

alternative_right shares a report from Axios: Google has basically stopped sending people to websites (including our site) for answers and information. Instead, it's using AI to answer them on its platform, in its words. Chartbeat data shared with Axios shows Google Search traffic to publishers fell 34% over the past year. That pain is regressive. Over the past two years, small publishers lost 60% of referrals from search overall, medium publishers 47%, large publishers 22%.

Google says AI-assisted workflows helped Chrome fix 1,072 security bugs across versions 149 and 150, more than the previous 23 releases combined. The company is also testing twice-weekly security updates and "dynamic patching," which could apply most fixes without requiring users to restart the entire browser. "By leveraging Chrome's multi-process architecture, dynamic patching sequentially replaces background child processes (like the Renderer and GPU) with updated binaries on the fly," says Google in a blog post. PiunikaWeb reports: Alongside dynamic patching, Google is rolling out smarter background updates during periods of minimal user disruption. Starting with Chrome 150 on macOS, the browser takes advantage of the operating system's windowless state. If all Chrome windows are closed but the app remains running in the background, the browser will quietly auto-restart to apply pending updates.

For enterprise environments, IT admins can continue to manage fleet-wide deployments through Chrome Enterprise Core or enforce update prompts using the RelaunchNotification policy. Google's long-term vision is a browser that remains continuously protected in the background without interrupting your daily browsing session. In the meantime, you can manually trigger pending updates by clicking the update prompt in the top-right corner of Chrome.

An anonymous reader quotes a report from 404 Media: LinkedIn, a social network awash with long AI-generated posts from executives and other corporate workers, has introduced a new button that users can click to flag if a post "seems like AI slop," according to 404 Media's own tests. If you have been anywhere near LinkedIn in the past couple of years, you have undoubtedly seen users posting blatantly AI-generated missives. Often these posts take some sort of news event, and opine on how this relates to thought leadership, or some other LinkedIn brainrot term. It's also pretty wild the button specifically uses the term "AI slop" and not, say, "It seems this was generated with AI."

[...] After publication of this piece, Hari Srinivasan, chief product officer at LinkedIn, wrote their own post about the button. "AI slop is a top priority for all of us. We really care about this. People come to LinkedIn to connect with real people and share their real perspectives, ideas and expertise. Here are a few more changes to keep it that way," he wrote.

The button in part will help LinkedIn tune its own models for identifying AI slop. "We are ramping up a series of new and improved classifiers that identify if a post is AI-slop or generally low-quality content. This will reduce the amount of AI slop you might see in suggested content and content from outside your network," the post said. "We are ramping the ability for members to tell us if they believe a post or comment seems like AI slop. Slop is hard to define and the definition changes; this lets us tune our models and make better feeds." Srinivasan also said LinkedIn is removing the AI-powered "enhance your post" feature with another that "proofreads your words, but does not change your voice."

An anonymous reader quotes a report from Reuters: Amazon's Zoox unit has won U.S. approval for limited commercial deployment of its novel steering-wheel-free robotaxis, a first for the autonomous ride industry, the U.S. auto safety agency said on Thursday. Zoox said that the National Highway Traffic Safety Administration's decision gives the company federal approval to begin charging for rides, and that it will soon begin charging for service, first in Las Vegas, with additional markets to follow as it completes various state requirements.

[...] NHTSA Administrator Jonathan Morrison told Reuters that Zoox had received clearance to commercially deploy up to 2,500 vehicles in each of the next two years. Zoox currently carries passengers in parts of Las Vegas and San Francisco as part of testing. The exemption would allow Zoox to charge them fees, subject to state and local approvals. The agency said it determined the vehicle is as safe as an equivalent vehicle meeting federal motor vehicle safety standards that are being waived. Zoox cannot sell any of the vehicles to the public.

"We can say pretty clearly that the systems in place on the Zoox exceed the equivalent performance requirements of a compliant vehicle," Morrison said in an interview. "But we still want to make sure that the automated driving system will operate appropriately." As part of the exemption, NHTSA is placing additional reporting requirements on Zoox for issues such as crashes or stopping inappropriately on roads, and the regulatory agency will adjust the conditions based on how the vehicles behave. "We have the ability to pull the exemption if we see major safety issues," Morrison said.

All remote operators must be located in the United States, NHTSA said, and Zoox must publish maps of areas indicating where the vehicles are operating. Morrison said NHTSA expects to develop the first federal safety standards for automated driving systems by the end of the Trump administration. It is also proposing to overhaul some existing rules written with human drivers in mind such as requiring brake pedals and rear-view mirrors.

Google DeepMind's Gemini Robotics 2 combines vision, language, and action models to control multiple types of robots, including humanoids performing tasks such as organizing shelves, tying bags, and replacing lightbulbs. "It's another milestone in our path towards really getting towards what we call like physical AGI, which means we get a robot to do anything that a human can," Carolina Parada, head of robotics at Google DeepMind, tells WIRED. From the report: Gemini Robotics 2 combines several different AI models into a single system. Taken together, they allow a robot to make sense of its surroundings and how to act in it. A vision language model (VLM), which understands images and video, can communicate with humans and reason how to perform different tasks. Two vision language action (VLA) models, trained to understand how to move in physical space, control the robot's full-body movement as well as the movements of grippers or hands.

In video demonstrations shared ahead of the release, the company showed several different robots performing complex tasks autonomously using the amalgamated model. In one demo, Apptronik's Apollo 2 robot used hands from a company called Sharpa to tidy shelves. Google DeepMind trained the model to perform these tasks using a mix of human teleoperation, video examples, and simulations -- it's not yet possible for AI models to perform a wide range of complex tasks without specific training.

[...] Parada says Google takes a multi-layered approach to safety, with guardrails applied on each model layer. It's also introducing ASIMOV-Agentic, a new benchmark for measuring the safety of various AI systems collaborating to control a robot. The benchmark detects whether a command will result in harmful or uncertain outcome.

An anonymous reader quotes a report from TechCrunch: Google is expanding its answer to Apple's age-assurance tools with Wednesday's news that it will bring its Play Signal API to users worldwide by the end of 2026. The technology, already available in Brazil, allows Android developers to identify younger users of their apps in order to provide safer, age-appropriate experiences. The expansion will initially bring the API to Australia and Canada by mid-August, before rolling out globally to all markets by the end of the year.

[...] Like Apple, Google's technology allows developers to obtain a user's age range without needing to access personal information, like their date of birth. Instead, it enables parents to share their child's age range directly with apps. It also lets adults share their age when prompted by app developers as well, allowing for customized experiences. Parents won't have to manage sharing this information on an app-by-app basis, either. To make it easier, Google centralizes these controls inside its parental controls dashboard, Family Link. Once entered, any developer that chooses to incorporate age-range information can access this signal to customize their apps accordingly.

Google notes, however, that the age ranges are not shared by default -- parents must opt in by entering that information. The feature joins other safety tools on Google Play, including those that let developers restrict a child's ability to discover their apps. Parents, meanwhile, can continue to use Google Play's Family Link app to manage their child's screen-time limits, approve app downloads, or set PIN-based content filters for specific apps.

Qantas completed a record-breaking 24-hour, 24-minute test flight from Melbourne to Toulouse on Tuesday. "The specially adapted A350-1000ULR airliner is due to debut with the Australian carrier's nonstop Sydney-London route from 2027," reports The Guardian. From the report: Tuesday's flight is thought to be the longest ever by a commercial plane, beating the previous record of 22 hours and 42 minutes set by a Boeing 777-200LR in 2005 between Hong Kong and London via the Pacific in 2005.

Flight-tracking provider Flightradar24 said the trip was the second-most-tracked flight ever on its channels -- behind a 2022 flight carrying Queen Elizabeth II's coffin -- with more than 3.6 million people following its progress northwards via Canada. Qantas has ordered 12 modified A350-1000ULR aircraft, designed to connect Australia's east coast with London and New York in about 20 hours.

Valve is funding Collabora's experimental effort to port the open-source RADV Vulkan driver from Linux to Windows. The team has already demonstrated Counter-Strike 2 running with RADV, but a stable interface or compatibility shim will be needed to handle undocumented driver changes. Phoronix reports: Louis-Francis Ratte-Boulianne put out a blog post highlighting their initial work on porting RADV to Windows. Besides working on Windows WDDM2 integration for Windows, a big challenge with porting RADV to Windows is on relying on the AMD Radeon Software Windows kernel driver.

It's out-of-scope of this current work for trying to port the AMDGPU Linux kernel graphics driver to Windows, so they are working on bringing RADV to Windows while relying on AMD's official Windows kernel driver. That in turn has led to reverse engineering and other steps for figuring out the proprietary kernel driver's data structures and other elements so RADV can be adapted to use it.

Google has dismantled the original AlphaFold team, according to Financial Times (paywalled), reassigning many researchers to Gemini and Isomorphic Labs. Several other key members, including Nobel laureate John Jumper, left for Anthropic. Engadget reports: AlphaFold is an AI program that can accurately predict three-dimensional structures of proteins from their amino acid sequences in minutes instead of years. It's now being used to accelerate drug discovery, develop vaccines and understand the structural changes in proteins associated with neurodegenerative diseases like Alzheimer's and Parkinson's.

DeepMind started developing AlphaFold in 2018. In 2020, it was recognized as a solution to humanity's 50-year-old "protein folding problem," which sought to answer how amino acids automatically fold into complex 3D shapes. Those shapes determine the biological role of a protein. Scientists had identified the structures of roughly 170,000 proteins over the past 50 years, using tools and techniques like X-ray and nuclear magnetic resonance. The AlphaFold team took information from those previous work and then fed it to their AI to train AlphaFold.

In 2021, Nature published the papers with AlphaFold's methodology and the structure predictions of the entire human proteome, or the complete set of proteins expressed by our species. DeepMind then launched the AlphaFold Protein Structure Database, giving researchers free access to over 200 million protein structure predictions. In 2024, DeepMind CEO Demis Hassabis and John Jumper, who was a staff research scientist when the project began and who eventually became a VP and engineering fellow, won the Nobel Prize in Chemistry for their work on AlphaFold.

GrapheneOS is defending its duress-password feature after an environmental activist used it to wipe his Pixel phone during a U.S. Customs search and was later indicted for allegedly destroying property under government control. The nonprofit says the operating system is "completely legal," cannot recover the erased data, and should not be weakened with encryption backdoors. Meanwhile, the activist faces up to five years in prison if found guilty. PCMag reports: In a post on Saturday, the Canadian nonprofit behind the operating system, the GrapheneOS Foundation, explained that the software offers a range of features to prevent data extraction. For example, one safeguard is the "auto-reboot timer" that'll reboot a locked device after a set period of time to put the data at rest, leaving all files inside encrypted.

The group's post subtly suggests that GrapheneOS phones can withstand law enforcement searches without requiring users to resort to a duress password. "People should carefully consider how to use it in an actual duress situation where there can be physical or legal consequences for wiping the device," the nonprofit wrote. "GrapheneOS doesn't require it to protect data from being extracted from the device, but it takes recovering it completely off the table even with the PIN/password for each profile on the device."

On X, the nonprofit has also said it can do nothing to help US law enforcement recover data from Tunick's phone. "Data cannot be recovered after the key derivation material is reliably wiped. It's not possible and there's nothing we can do to assist with it," the group wrote. "Similarly, it's not possible to assist with bypassing encryption because the hardware and software has been designed to prevent it."

An anonymous reader quotes a report from 404 Media: Claude is exposing a wealth of users' chats and creations in Google search results, meaning anyone can dig through conversations or other material that people used Claude to make but may not have realized were publicly available for strangers to see. The exposed data includes an AI-powered therapy app that someone appears to have vibe-coded, notes on meetings, and a dashboard someone made apparently to analyze medical billing data. Exposed chats reportedly include private cryptocurrency wallet keys and personal information like peoples' addresses

Like other chatbots, Claude lets people share their conversations with others by creating a publicly accessible link of the chat. People may do this to send the full text of a conversation to their friends or coworkers in a group chat, for example. But they may not realize Google is also surfacing these links in search results, making them available to essentially anyone. [...] Claude users can change their privacy and sharing settings to make their chats no longer publicly accessible.

Arizona State University has launched a 120-credit bachelor's degree in content creation that teaches video, podcasting, branding, analytics, media law, and social strategy. For their capstone, students are "expected to build a real social media account and demonstrate audience growth during the program," reports Dexerto. From the report: The Content Creation BA is housed within ASU's Walter Cronkite School of Journalism and Mass Communication and appears in the university's 2026-2027 course catalog. The 120-credit-hour degree prepares students to become "an influencer and strategic storyteller" by teaching video production, podcasting, personal branding, audience analytics and social media strategy. The program was approved by the ASU University Senate in March 2026. Its proposal said graduates would be prepared to work independently as influencers and content creators across livestreaming, videography, writing, podcasting, graphics and emerging media.

[...] For the program's final project, students will choose a social media platform, such as TikTok, create a content and growth strategy, and attempt to gain real followers throughout the semester. "They will have demonstrable audience growth," [explained Jessica Pucci, senior associate dean at the Cronkite School]. "They will have a platform of their choice with real content and real followers and a real audience behind them." The curriculum includes courses titled How to Become an Influencer, On-Camera Presence, Introduction to Editing, Videography, Podcasting and Audio Storytelling, Social Media Foundations and The Digital Audience.

Amazon has asked the FCC to approve a 5,105-satellite constellation launching in 2028 that would provide global direct-to-cell "voice, messaging, data, and emergency services," similar to Starlink's partnership with T-Mobile. The network would use Globalstar spectrum, support future Apple satellite services, and complement Amazon's existing Leo broadband constellation. The Verge reports: Advanced Television points out that the FCC application also includes a request to use spectrum assigned to Iridium's satellite network outside the US, even as Rocket Lab is in the process of acquiring Iridium with plans to expand.

The new constellation and direct-to-device service will "complement" the broadband services Amazon also plans to offer through its Leo platform. In addition to consumer satellite service, it would also be used for things like disaster response and emergency messaging.

Amazon says the new direct-to-device satellites "will process the signals in orbit before relaying them to improve performance." The new constellation will be nearly double the size of Amazon's initial Leo constellation, which is planned to include around 3,200 satellites. As of July 2nd, Amazon says "over 375" of those satellites have launched so far.

European misinformation researchers say TikTok, X, and Meta are obstructing access to platform data required under the EU's Digital Services Act through rejections, restrictive quotas, costly APIs, and burdensome security demands. Although regulators have fined X and pushed platforms to improve access, researchers remain skeptical that the changes will provide reliable, reproducible data at scale. Ars Technica reports: In recent years, social media companies shut down public access tools like Meta's CrowdTangle and replaced them with content libraries, or, like X, paywalled their API data, forcing academics to pay "hundreds of dollars a month," said Duncan Allen, a research officer at Democracy Reporting International (DRI) in Germany. Researchers say that without API access, what Iamnitchi describes as the "black holes" in what society knows about how these platforms recommend content or handle reports regarding sensitive content will only grow. Others, like TikTok, cap how many posts any researcher account can pull each day, which Allen said can make it "impossible to study anything at scale."

The DSA was meant to solve this by allowing vetted researchers at credible institutions to have access to API data if they could show it would help in studying systemic risks, from illegal content to threats to fundamental rights. But two years after the law took effect, researchers say they struggle to meet its security requirements and face narrow interpretations from platforms of what qualifies as a systemic risk. Application forms differ by platform, but most require data to be stored on infrastructure that cannot be compromised -- such as a machine physically disconnected from the Internet -- a resource most universities lack, [said Adriana Iamnitchi, chair of computational social sciences at Maastricht University in the Netherlands, who leads research into online disinformation campaigns.]

Even for researchers who secure approval, "there's no guarantee that the data is good," said L. K. Seiling, coordinator of the DSA40 Collaboratory, a German initiative that tracks 46 DSA applications. API data is often difficult for a colleague to reproduce, so a researcher's work cannot be checked for errors, which Iamnitchi said is a "basic requirement of science." DSA40 data shows that of 46 tracked applications, 20 were approved and 14 rejected. But approval rates vary widely: TikTok approved 11 of 13 applications, while X rejected 11 of 23. The true rejection rate is likely higher because the tracker relies on voluntary reporting, Seiling said. "There's no structured advantage for researchers to use this pathway," Seiling said. "Data access as it's set up right now tries to disincentivize researchers."

"The rise of TikTok, Instagram Reels and Amazon storefronts has created a new kind of white-collar exit strategy," reports Bloomberg. Workers ditch office jobs not to become celebrities, necessarily, "but to piece together an income online through brand deals, affiliate links and highly personal videos documenting everyday life." In many cases, the followers necessary to sustain a living are smaller (and more attainable) than people might assume. A small but loyal audience can now generate enough income to rival a midlevel salary. Welcome to the middle-class creator economy. Last year, 25-year-old Abi Platock balanced a corporate marketing job in New York while posting online in her spare time. She built her audience by posting one or two videos a day, offering career advice, beauty tips and daily vlogs. "I signed my first brand deal in the four-figure range, and for me that was just such a big eye-opening moment," Platock says of her partnership with deodorant brand Secret. She had 8,000 followers on TikTok at the time. "You can totally make it work without having hundreds of thousands of followers." Platock, who now has roughly 25,000 followers across platforms, has signed about $25,000 in brand deals so far this year and expects her annual creator income to reach around $50,000 by yearend.

Her experience reflects a broader shift in advertising. Brands are increasingly moving money toward so-called microinfluencers — smaller online personalities who have less than 100,000 followers. "They are hiring a bunch of microcreators at scale instead of hiring a handful of macrocreators for what could potentially be the same cost," says Ali Grant, co-chief executive officer of the Digital Department, a creator management company. And they perform where it matters most: engagement. An engagement rate of 3% is considered strong, and some microinfluencers exceed 10%, Grant says of the closely watched metric that tracks how often followers interact with content through likes, comments, shares and saves. Microinfluencers average a 3.2% engagement rate, almost triple the 1.1% rate for macroinfluencers (more than 1 million followers), according to growth marketing agency ATTN... A TikTok partnership with a creator who has around 50,000 followers can run a brand more than $3,500 for a single post, Grant says; with 10 times the followers, that fee might just triple, to around $10,000....

The influencer marketing economy ballooned to a projected $33 billion in 2025 up from $1.7 billion in 2015. The segment gained momentum after the COVID-19 pandemic, as dissatisfaction with traditional work pushed many to reconsider conventional career paths, says Brooke Duffy, a professor of communications at Cornell University. "They realized the trade-offs in terms of the investments of time, energy and human capital were not necessarily worth sacrificing so much of one's personal self for," she says. Success online can bring greater freedom — and even higher pay than many traditional office jobs, which have a median US salary of $69,000, according to Glassdoor. But the middle-class hustle still requires constant effort to maintain. The career has no promise of lifetime longevity. And unlike traditional workers, creators have no predictable paycheck or job protections, making career stability elusive. Roughly 57% of 3,000 surveyed full-time creators earn below a living wage from content creation, according to a report last year from Influencer Marketing Hub. Income from social media can fluctuate wildly from month to month, driven by shifts in algorithms, sponsorship cycles and platform trends.

"You could have a month where you make zero dollars, or you could have a month where you make $10,000," Platock says.
The article cites Gallup Poll data released last year that found employee engagement in the U.S. had fallen to its lowest level in a decade [with engagement defined as "the psychological attachment workers have to their work/team/employer]. "Among the hardest-hit groups were Generation Z and workers in finance and technology. Broader workplace challenges, including rapid organizational change, hybrid and remote work transitions, and rising employee expectations are considered drivers of the overall trend."

"For many workers, influencing can seem like a better deal; flexible schedules and independence wrapped in a veneer of creativity and fun. Almost 60% of Gen Zers say they'd become an influencer if given the opportunity, according to a 2023 survey from Morning Consult."

A U.S. district court "has dismissed Google's case against SerpApi over that company's scraping of search results to train AI models," reports Computerworld. Google had claimed that it was protecting copyright holders — and that SerpApi's actions breached America's Digital Millennium Copyright Act (DMCA): [Google] made two claims: first, that no person shall circumvent a technological measure that effectively controls access to a work protected under this title, and second that no person shall manufacture, import, offer to the public, provide, or otherwise traffic in any technology, product, service, device, or component protected by the Act. SerpApi claimed that the URLs and other links that were being served by Google did not in themselves entail copyright and the judge agreed. In her judgment, she said that there was no indication that the copyright holders had authorized Google to take action against SerpApi.

The case is not completely over as the judge has given Google 21 days to amend its complaint to demonstrate that it was acting on behalf of the copyright owners.
SerpApi's CEO reacted to the court's ruling as "a win not just for SerpApi, but for all who depend on an open internet. We're pleased that the court rejected Google's attempts to expand the DMCA to assert control over access to public pages. The internet's founding principle — open access to usable information — is essential to driving innovation and ensuring everyone benefits from the promise of data. SerpApi will continue supporting developers, AI companies, researchers, and businesses that rely on access to public search information."

Some analysis from Daring Fireball blogger John Gruber: I've come around on SerpApi in the last few months. My initial take was that it surely must be illegal for a company to scrape Google's search results and offer access to that data as an API. But I've come around to the argument that what SerpApi is doing to obtain Google search results is, well, exactly how Google scrapes the rest of the entire web to build its search index. It's all just scraping publicly accessible web pages. This December piece by Mike Masnick at Techdirt is what began to change my mind.
In fact, Masnick wrote, Google "built its entire business on scraping the web without asking permission first. And now it wants to use one of the most abused provisions in copyright law to stop others from doing something functionally similar to what made Google a tech giant in the first place."

Now Google is even getting heckled about the decision on social media. "If Google wants to refile the suit within the allowed 21 days, it has to admit that site owners have copyright protection of their work and THAT would open the door to them suing Google for scraping their content for AI Overviews."

Ars Technica reports: Hyundai Motor Company's plan to put humanoid robots to work by 2028 is not part of current negotiations with striking South Korean autoworkers, according to the company.

The automaker is disputing news reports that partial labor strikes by the Hyundai Motor union at the world's largest automotive plant in South Korea were spurred by concerns about the company's planned deployment of humanoid robots in the United States starting in 2028. [The planned robots are built by Boston Dynamics, now a wholly-owned subsidiary of Hyundai.] A Hyundai statement shared with Ars describes the union's demands as focusing on compensation-related issues such as wage increases, bonuses, and an extension of workers' retirement age. "Potential deployment of robots in Korean production facilities is not part of the current labor-management discussions," according to the Hyundai statement...

Hyundai emphasized that its current plan only covers the initial deployment of the Atlas humanoid robot at Metaplant America, an electric vehicle factory near Savannah, Georgia, starting in 2028. "Decisions about future Atlas deployment at other facilities will be made thoughtfully, in accordance with local operational needs, and in dialogue with the employees and workforce representatives at those sites," the company stated. However, The Wall Street Journal described the Hyundai Motor union as making "unprecedented demands seeking to enshrine job protections in the era of robots and AI," and characterized certain compensation demands as hedging against potential reductions in work hours caused by AI adoption and robotic automation. "Remember that without labor-management agreement, not a single robot using new technology will be allowed to enter the workplace," the union told Hyundai in an internal letter reported by Reuters.

Hyundai management and the labor union are currently reviewing a proposed wage reform that would "provide factory workers with greater income stability even after the carmaker's planned deployment of humanoid robots," The Korea Times reported. But experts cautioned that the wage overhaul, which would convert hourly pay for overtime and night-shift allowances into fixed wages, could come at the expense of company productivity.

Futurism reports: [Some online publications] are now debating whether to cut Google off entirely, as the Wall Street Journal reports, illustrating an increasingly fraught relationship between the tech giant and the publishers that are creating content its AI models are regurgitating. According to the newspaper, prominent outlets including USA Today, Politico, the Economist, People, and Reuters are all reexamining their relationship with Google. Some are debating whether to continue to work with the tech giant at all... Even Reddit executives are reevaluating the company's $60 million-a-year contract that allows Google to train its AI models on user-submitted content on the platform. They've similarly watched as Google's AI features discourage users from navigating to Reddit...

Beyond pondering whether to cut Google off, other publishers have resorted to suing the company, accusing it of illegally rehashing their intellectual property via AI summaries. It's an extremely undesirable position for publishers. By severing ties with the search giant, they could face even steeper declines in traffic. At the same time, there's seemingly little to gain from having Google's AIs crawl their content — and in the long term, it could guarantee their destruction.
Two interesting data points from the article:

• "Last month, Cloudflare CEO Matthew Prince noticed that automated bot traffic had overtaken human traffic for the first time in the internet's history."

• "USA Today has seen its traffic from US users drop by almost half over the last year."