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. A company 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 Motor Company remains committed to constructive engagement with the union and to reaching an agreement that supports the long-term interests of both employees and the company.”

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OpenAI says an agent powered by its LLM models escaped its sandboxed testing environment to infiltrate Hugging Face's servers as part of an overzealous attempt to obtain solutions to a benchmark test. The company says it considers the unintended infiltration an "an unprecedented cyber incident" and is working with Hugging Face on new protections to prevent a recurrence.

Hugging Face disclosed an intrusion last week that it said involved "unauthorized access to a limited set of internal datasets and to several credentials used by our services." The AI data clearinghouse said it used its own LLM-driven analysis to identify "a swarm of tens of thousands of automated actions" from an "autonomous agent framework." That agentic swarm exploited a flaw in Hugging Face's data-processing pipeline to gain the ability to run code as a processing worker, eventually escalating to high-level access to the company's cloud and server clusters.

At the time, Hugging Face said the LLM being used in the attack was "still not known." But OpenAI took responsibility for the intrusion Tuesday evening, saying it came about during an internal test involving the recently released GPT-5.6 Sol and "an even more capable pre-release model." The models were being tested against the ExploitGym benchmark, an independent testing suite based on hundreds of real-world security vulnerabilities.

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A little over a month after the Department of Defense (DOD) bragged that nearly half of its 3.5 million employees were using AI at work, members of the Army’s Combat Capabilities Development Command (DEVCOM) received an email informing them that they were burning through tokens, and needed to limit use.

“Although the Army CIO announced in May 2026 that they were offering unlimited tokens, by mid-June the Army CIO pool was exhausted of tokens and had to re-establish limits,” the email reads. The email goes on to say that although the Army has chosen to renew token usage at “its current levels,” it’s unclear “if the Army CIO pool will be renewed after 1 Oct.”

The Army uses Ask Sage, a multimodal generative AI platform where users can run different large language models (LLMs), including Alphabet’s Gemini, Meta’s Llama, and OpenAI’s ChatGPT. “Apparently the whole Army burned through the whole year of tokens for just one service,” says an Army employee who spoke to WIRED anonymously because they were not authorized to speak to the press.

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On Monday, a judge approved a $1.5 billion settlement between Anthropic and authors, ending the largest copyright class-action ever certified and granting the largest copyright settlement ever reached.

Back in May, some authors fought to block the settlement, which was proposed after the court ruled that Anthropic training AI on books was fair use; however, its piracy of works was likely not.

Authors opposing the settlement argued that lawyers’ fees were too high and authors’ payouts were too low. Hoping to avoid accepting the estimated $3,000-per-work payout and file separate lawsuits to seek higher damages, a handful of authors tried to opt out past the deadline.

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Google announced a significant evolution of its AI models at I/O in May with the release of Gemini 3.5 Flash, and it's not slowing down. The company revealed three new AI models today, including its first version of Gemini geared toward cybersecurity. However, none of the new models is the delayed Gemini 3.5 Pro, which was supposed to launch in June.

Gemini 3.5 Flash, which was the star of the show at I/O, has already been deprecated. In its place, developers and users will find Gemini 3.6 Flash. Google makes the usual claims about this model—it's marginally more capable and better at coding, and it has great multimodal features.

Google says the changes to 3.6 Flash were made in response to user feedback on the 3.5 release. In general, Gemini 3.5 Flash didn't appear to live up to Google's promises around code generation. Perhaps that is simply a consequence of Google's intense focus on efficiency as businesses have started to fret over the cost of AI tokens.

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Drones capable of spraying water and fire retardants have been practicing how to snuff out wildfires early in California and Alaska this summer—demonstrating a possible rapid-response tool for firefighting as climate change transforms wildfire season into a nearly year-round risk for much of the United States.

Most drones are significantly smaller than crewed aircraft and have shorter flight ranges, meaning they cannot replace large airtankers in delivering massive payloads of water or other fire-suppressing payloads to remote wildfires. But companies and fire agencies—along with organizers of the $11 million XPRIZE competition—are testing whether drones can help firefighting crews respond more quickly to small fires and put them out before they become more destructive.

The California Department of Forestry and Fire Protection, also known as CAL FIRE, ran its own field test involving five autonomous drones that worked together to deploy between 500 and 1,000 gallons of foam combined for suppressing fires on July 15, according to the TV station KPMH. The demonstration was organized with the help of the nonprofit FireWERX and the California-based company Seneca, which is making the drones commercially available starting in 2026.

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There are a lot of AI coding applications out there, and as impressive as large language models and the agents they enable have become, many of the most recent developments in AI-assisted development have been in the software that manages those models, not just the models themselves.

Earlier this summer, I spoke with the head of product for Claude Code, Anthropic's Cat Wu, about that company's approach to building that software.

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If you’re like me, you or a loved one has struggled through the process of gaining pre-approval for the medical care that your physician has recommended. Personal stories abound regarding the tribulations of patients as they go through hoops to get their health insurer to pay for certain prescription medications, medical procedures, and more.

When used judiciously, this process—known as prior authorization—serves as a check on overuse and spending on services or technologies for which there are less costly alternatives. But a large majority of physicians voice concerns about care delays, which can cause patients to abandon recommended treatments while waiting for the insurance company to verify their eligibility and confirm that the treatment is, indeed, medically necessary. Patients who are denied care may submit an appeal, but that requires more time.

AI might be able to help. With its ability to efficiently sort through vast reams of information, artificial intelligence could theoretically expedite approval of unambiguously allowable claims, thereby reducing care delays. However, AI-driven prior authorization is facing resistance, as it may increase wrongful denials of health insurance coverage. A 2025 American Medical Association survey of physicians revealed significant concern about the application of AI tools, with 61 percent of doctors worrying that AI will exacerbate denials of what they deem are necessary treatments.

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As smoke from hundreds of burning wildfires spread across Canada and the United States, the first three operational satellites in the Google-backed FireSat program successfully launched into orbit. The satellites will begin providing wildfire detection capable of spotting even small fires in the United States, Australia, and Europe before the end of the year.

The launch of the microsatellites aboard a SpaceX Falcon 9 rocket from Vandenberg Space Force Base in California on July 7, 2026 marks a transition to “initial operational capability” for the FireSat constellation managed by the nonprofit Earth Fire Alliance. After a three-month testing period, the three satellites will begin actively providing data to fire agencies while covering every fire-prone region on Earth at least twice per day.

FireSat represents the first satellite constellation purpose-built for detecting wildfires, including spotting smaller fires that other satellites may miss. The satellites were designed by California-based satellite manufacturer Muon Space and have received over $15 million from Google to support initial deployment. Other notable financial supporters include the Bezos Earth Fund that committed $26 million.

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This week, San Francisco’s attorney general, David Chiu, sent cease-and-desist letters, demanding that Apple and Google remove 13 so-called nudification apps from their app stores, Wired reported.

Nudification apps can make it trivially easy to transform ordinary photos of real people into explicit images. The harmful AI tools allow bad actors to remove clothing, change a person’s features, place them in sexualized positions, and swap victims’ faces onto other people’s naked bodies.

Chiu's letter warned that app stores were violating "California’s laws that prohibit supporting services that create deepfake pornography," Wired reported.

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Europe wasted no time using its landmark Digital Markets Act (DMA) to try to rein in Big Tech. Companies like Apple, Meta, and Google have faced steep fines and orders to modify their business practices since the law came into force in 2024. And the hits keep on coming for Big Tech in Europe. After several months of consideration, the European Commission has announced new DMA measures that will force Google to support interoperability and competition in the European Union, and Google is not happy about it.

The new "specification measures" cover two elements of Google's business: Android phones and search. Both changes could theoretically increase competition and give users more choices, but Google claims they will undermine privacy and security. But as a "gatekeeper" under the DMA, Google has no choice but to comply. As the European Commission points out in its announcement, these decisions are legally binding.

On Android, Google will have to open up access to competing AI platforms. Currently, Google's Gemini gets preferential access to the system. Gemini is preloaded on all Google-certified Android phones and can wake up in response to the "Hey Google" hot word. Google's AI also includes system and app automation features, screen content access, and more.

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Facing mounting pressure to acknowledge that Grok can still be used to generate non-consensual sexualized images of adults and minors, xAI filed a lawsuit Tuesday, suing the first user that Elon Musk’s firm has accused of using its chatbot to create illegal content.

The complaint targets Terry Wayne Harwood, who was arrested earlier this year for possession and distribution of child sexual abuse materials (CSAM), the South Carolina attorney’s office announced.

As xAI alleged, the company assisted in that arrest after discovering that Harwood had been using two xAI accounts for months to undress or “nudify” non-sexual images of multiple victims, including a young girl who appeared to be as young as 10.

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Thousands of unionized Hyundai auto workers began walking off the job early after negotiations with the South Korean automaker broke down over plans to deploy humanoid robots—the most significant pushback from organized labor so far over the latest wave of robotic automation.

The partial strike at Hyundai’s automotive production complex in the city of Ulsan in South Korea represents “the car industry’s first factory stoppage addressing humanoid robots,” according to The Wall Street Journal. Workers have already ended their day and night shifts two hours early at the world’s largest automotive plant from July 13 through July 15, and plan to start staging four-hour strikes from July 20 to 22 after 15 rounds of negotiations failed to reach an agreement, The Korea Times reported.

Union pushback began as soon as Hyundai Motor Group unveiled the latest version of the Atlas humanoid robot, a two-legged robot that stands at more than 6 feet tall and can lift more than 100 pounds, at the start of this year. Atlas is made by Boston Dynamics, the US robotics company that is about to become a wholly owned subsidiary of Hyundai.

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The widespread introduction of AI-powered coding tools has led to some dramatic splits between those integrating those tools into their workflows and anti-AI absolutists who don't want large language model-generated code anywhere near their projects. When it comes to the Linux kernel, though, creator and top-level maintainer Linus Torvalds said he is "willing to absolutely put my foot down" in support of using AI tools to improve the long-standing open source project.

Writing in a lengthy post on the Linux kernel mailing list this week, Torvalds said that "Linux is not one of those anti-AI projects, and if somebody has issues with that, they can do the open-source thing and fork it. Or just walk away."

The statement came amid a lengthy thread arguing about the use of Sashiko, an "agentic Linux kernel code review system" that its creators claim can, in tests, independently find 53.6 percent of the bugs that would end up being fixed by human coders in later commits. But the tool can also waste maintainers' time by sending "false positive" reports of bugs that don't exist, at a rate Sashiko's maintainers estimate is "well within [the] 20% range."

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Energy companies are raising money at IPO at their fastest pace this century, taking advantage of investors’ hunt for new ways to bet on the boom in power-intensive AI data centers.

Initial public offerings for energy firms raised $12.6 billion in the first half of this year, according to data firm Dealogic. That marks the highest half-year level since the peak of the dotcom bubble in late 1999 and the highest first-half figure on record. It is well above 2025’s full-year total of $4.3 billion.

The surge in fundraising comes as access to the vast amounts of energy needed to run data centers emerges as a bottleneck in a multi-trillion-dollar AI investment boom.

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As rumors continue to swirl about OpenAI's work on a personalized smart speaker and other hardware, the company is today rolling out its first branded device. The $230 Codex Micro is a specialized, RGB-lit mini-keyboard designed to let users monitor and quickly interact with multiple Codex agents with a glance and a few clicks.

The device is described as a "limited-run collaboration" with Work Louder, which already sells a very similar-looking Creator Micro line of customizable square keyboards targeted at creative professionals. The Codex Micro differentiates itself from those mainly through six frosted keys in the top two rows, which offer color-coded live feedback on up to six Codex threads, even when they are not in focus on-screen.

Open the OpenAI box for AI assistance. Credit: OpenAI / Work Louder

Ideally, those colored keys will cycle from white when a thread is idle to blue when Codex is thinking to green when a task is complete. But the keys can also flash amber when Codex requires feedback or a decision from a human operator and red when a thread encounters an error, letting users know at a glance which of their Codex tasks needs immediate attention. A quick tap on the lit-up button brings up the applicable Codex window on-screen.

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Meta's AI-fueled layoffs of 8,000 employees targeted workers with disabilities and those who took protected medical or family leaves, alleged a lawsuit filed by 26 employees who were selected for termination. Meta used internal AI tools to select employees for layoffs, according to the complaint filed yesterday by 26 "Doe" plaintiffs in US District Court for the Northern District of California.

"Meta did not assemble the termination list through the considered judgment of managers who knew the work. Instead, Meta used a constellation of internal artificial-intelligence systems—including a system referred to internally as 'Metamate,' employee-trained 'second-brain' agents, keystroke- and activity-monitoring data, AI-token-usage dashboards, and algorithmically assisted performance ranking and calibration—to score, rank, and select employees for inclusion on the list," the lawsuit said.

Employees were allegedly graded, among other things, on how much they used Meta's AI tools. "Meta’s internal dashboards classified employees by their stage of adoption of its artificial-intelligence tools, using categories such as 'AI Native,' 'AI First,' and 'AI Enabled,'" the lawsuit said.

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For the first time in its history, the US military sent explosive-laden drone boats into combat by attacking an Iranian midget submarine and naval port. The unprecedented use of such kamikaze sea drones by the United States comes nearly a decade after Iranian and Houthi forces first demonstrated such weapons.

The US military shared a video showing three “one-way attack surface drones” exploding after approaching an Iranian midget submarine and ship maintenance facility at Iran’s Bandar Abbas Naval Base on the night of July 12. US Central Command, the US military combat command responsible for Middle East operations, described the strikes in a social media post as the “first time American forces have employed sea drones in combat operations.”

The US drone boats were able to “make a low-speed, uncontested approach” to their targets before exploding, according to USNI News, a news service from the nonprofit US Naval Institute. USNI News also identified one of the targets as an Iranian Ghadir-class midget submarine that was out of the water while being suspended from a gantry.

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Believe it or not, there was a time when searching the web for images was not possible. Twenty-five years ago, Google launched image search, and it's celebrating by looking back at its biggest visual milestones and refreshing the experience for today's searchers. The celebration also includes expanded AI because that's just how Google rolls in 2026.

Google claims the impetus for image search a quarter-century ago was the green Versace dress Jennifer Lopez wore to the 2000 Grammy Awards. If you were alive at the time, you probably remember the one. Google engineers understood that people searching for the dress didn't want to read about it—they just wanted to see it. The company got to work building image search, launching the first version in July 2001. Twenty-five years later, it's easy to take for granted that you can search for Lopez's green dress or whatever else strikes your fancy.

Currently, going to the Google image search site shows a plain search bar for finding images. It's a refreshingly minimalist interface for the modern web. Even Google's search homepage has a smattering of AI buttons and drop-down menus. That will change when the new Google Images rolls out.

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New York became the first state to pause all construction of massive new data centers after Democratic Governor Kathy Hochul announced a one-year moratorium on Tuesday, Reuters reported.

The state-wide ban applies to data centers using 50 megawatts or more, officials told Reuters, and it won’t be lifted until the state figures out what "consistent standards" for responsible data center development in New York should look like.

Across the US, calls to halt data center construction have multiplied, as Americans grow increasingly concerned about risks of pollution, rising energy costs, and diminishing water supplies. At the federal level, Bernie Sanders (I-Vt.) and Alexandria Ocasio-Cortez (D-NY) have introduced legislation seeking a possible nationwide construction ban. But Republicans are seemingly unlikely to embrace that legislation, given Donald Trump's claim that such moratoriums would threaten America's lead in the AI race.

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