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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Apple is gunning for OpenAI, demanding steep penalties after stumbling on a “rare” bug that temporarily allowed a poached employee that joined OpenAI to maintain access to confidential information on Apple servers for weeks after his termination.

In a lawsuit filed Friday, Apple sought several injunctions blocking OpenAI from using confidential information allegedly stolen by former employees. According to Apple’s complaint, OpenAI conspired with former Apple employees as part of a grand scheme to “take an unlawful shortcut” and launch a line of AI-powered devices as marketable as Apple’s iPhone.

Apple explained that it found a bug while investigating internal messages between a then-current employee, Yu-Ting “Alyssa” Peng, and an engineer who spent eight years “working on some of Apple’s most sensitive product development programs,” Chang Liu.

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Prompt injections, the malicious commands attackers embed into content to entice large language models to follow them, have been attackers’ go-to tool for turning AI platforms against their users. A well-phrased command sneaked into an email or calendar invitation is often all it takes to cause the LLM to exfiltrate sensitive data or follow other harmful actions.

Now, defenders are embracing the prompt injection, too.

A strong, sharp effect

Researchers from Tracebit on Monday said they found that placing prompt injections alongside passwords, cryptographic keys, and other secrets stored on Amazon Web Services was often all that was needed to shut down attacks from AI hacking agents. The prompts direct the attacking LLM to perform an action forbidden by its guardrails, the safety barriers AI developers erect to prevent it from taking harmful actions. The LLM responds by shutting down.

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Over the past few years, many of us have gotten a crash course in what we now call artificial intelligence—but really, it has mostly been a crash course in large language models. Increasingly, however, LLMs are no longer the only category of AI drawing high expectations, massive funding rounds, and significant research and product development.

Over the past year, we've seen a plethora of new announcements in a category labeled "world models," and you'll likely see more movement there in the coming months and years.

Instead of or in addition to working with language, world models aim to lay the groundwork for AI systems that are capable of simulating the physical world, or at least a useful approximation of it.

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The European Union is ramping up pressure on Meta to make big changes to Facebook and Instagram after the European Commission preliminarily found that features like autoplay, infinite scroll, and highly personalized content recommendations were addictive.

On Thursday, the EC said its investigation indicated that “Meta did not adequately assess the risks of its addictive design on the physical and mental wellbeing of users, including minors and vulnerable adults.”

“These features fuel the user's urge to keep scrolling and shift the brain into ‘autopilot mode,' contributing to unhealthy habits and compulsive use,” the commission said.

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Last year, when we tested out the "Agent Mode" in OpenAI's Atlas web browser, we complained that any automated tasks tended to stop after a few minutes, limiting its usefulness for ongoing or complex tasks. With today's release of ChatGPT Work, OpenAI says it has solved that problem with a new tool that can "stay with a project for hours if needed, and turn a goal into finished work."

The company is challenging users to evaluate ChatGPT Work by "giv[ing] it a task you already know well," such as analyzing a budget or preparing a sales meeting. The company also promises that ChatGPT Work can automate entire workflows, going from customer research to a campaign brief to locally tailored marketing assets, for instance. At the same time, the company stresses that the tool will wait for you to "approve important actions."

ChatGPT Work also integrates Scheduled Tasks, a souped-up version of cron jobs that can "take repetitive tasks off your plate" on a schedule or whenever a monitored event occurs. These tasks can keep going when you're away from your desk and can be monitored from your phone, the company says.

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Humanoid robots have surgically removed the gallbladders from living animals in an unprecedented medical experiment—but not as autonomous machines capable of replacing human doctors. Instead, skilled human surgeons remotely controlled the robots’ movements in a new example of human-robot teamups.

The teleoperated humanoid robots completed two minimally invasive surgeries by removing gallbladders from live pigs during a preclinical trial that was published in the journal Nature. If this approach eventually proves clinically ready for human patients, surgeons could use such humanoid robots to remotely perform robotic-assisted surgical care in smaller hospitals and clinics that lack the resources to install specialized but expensive surgical robots.

“It's a fraction of the cost and it takes a fraction of the space in an operating room,” said Shanglei Liu, an assistant professor of surgery at the University of California San Diego School of Medicine, in an interview with UC San Diego Today. “So it’s easy to deploy, anywhere from rural areas, to the battlefield, and even to space.”

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OpenAI is facing calls for "serious sanctions" after fighting to keep news organizations from snooping through millions of logs to find evidence of users skirting their paywalls by prompting ChatGPT to regurgitate their articles.

This evidence is considered among the most important to both sides, potentially either dooming OpenAI as an infringer or exonerating its chatbot technology as a transformative fair use of news sites' content.

In a sanctions motion Thursday, news organizations suing OpenAI—led by The New York Times—accused the AI firm of repeatedly lying for years to conceal evidence of infringement that could hobble OpenAI's defense.

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Ivy League college students are, by definition, intelligent. They don't need to use generative AI to cheat on exams; they could just learn the material. But they also tend to be competitive, ambitious, and overscheduled, so AI can look like an easy shortcut that makes more time in their lives for things that can't be done by a chatbot. When the pressure is on, which approach do they choose?

A new scandal at Brown University reveals that huge numbers of these students are likely to cheat.

Record scores

A recent survey of Princeton students found that 29.9 percent admitted to cheating with AI on at least one exam or assignment. But the situation at Brown gives us a better sense of what this kind of cheating looks like in one particular class—and just how much it may be substituting for actual learning. And we know all this because the blind economics professor at the center of it all, Roberto Serrano, is not letting it go.

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One of the most horrific cases of allegedly Grok-generated child sex images was shared in a proposed class action lawsuit that was expanded Tuesday. Now, young girls not only accuse X and xAI of building toxic AI "nudify" tools but also of shielding child predators by obstructing police investigations into Grok-generated child sex abuse materials (CSAM).

In March, a girl’s stepfather took his own life after cops discovered that he had used Grok to create 7,000 sexually explicit images using one photo taken when his stepdaughter was 11 years old, the amended complaint alleged.

Grok allowed the man to generate extreme images depicting incest and rape without flagging any harmful behavior, the complaint said. Seemingly, xAI’s child safety system only intervened after the man input a prompt for “gang rape.” That request sent a CyberTip to the National Center for Missing and Exploited Children (NCMEC), which alerted law enforcement to the AI CSAM.

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Code generation is emerging as one of the most popular applications for large language models (LLMs), but not all agents are equally good at all development tasks. Google created a benchmark earlier this year to evaluate how LLMs perform in Android app development, and Android Bench is getting a big update today. The leaderboard now includes a raft of new models, and Google has adopted a new framework that should be easier to use. Developers are invited to run their own tests and submit feedback that could shape the future of Android Bench.

While they are popular coding tools, LLMs don't get everything right. Separating the useful outputs from straight-up slop means choosing the right tool. Android Bench aims to demonstrate which AI agents do best on a suite of 100 Android development tasks. After launching Android Bench in March, Google has added metrics like cost and efficiency, as well as open-weight models.

To keep Android Bench relevant, Google is updating the test with eight new models, including all the latest heavy-hitters: Claude Fable 5, Claude Sonnet 5, Claude Opus 4.8, GLM 5.2, Kimi K2.7 Code, MiniMax M3, Qwen 3.7 Plus, and Qwen 3.7 Max.

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In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones autonomously fly through the skies to drop off orders at customers’ homes, the idea of general-purpose robots helping humans with various tasks in workplaces or even homes may not seem far-fetched.

But that future hinges on developing increasingly autonomous robots powered by modern artificial intelligence—an ambitious vision that has motivated many researchers to become startup founders while also attracting billions of dollars in investment.

“When I started maybe about 15 years ago, I led a project team that was focused on autonomy, but in that era, the goal of that team was to just get a robot to navigate from point A to point B,” said Matt Malchano, vice president of software at the robotics company Boston Dynamics based in Waltham, Massachusetts. “And now, when we think of autonomy, we think of this huge space of tasks and things that we can imagine a robot doing on its own.”

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In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are inherently unable to distinguish between legitimate instructions provided by users and malicious ones sneaked into emails, source code, and other third-party content the models are processing. This makes it trivial to surreptitiously inject malicious commands that the LLM readily follows.

With no way to enforce this crucial boundary between trusted and untrusted sources, AI engine developers are left to erect elaborate guardrails designed to mitigate the damage rather than solve the root cause.

To date, most prompt injections have fallen into a class known as push, in which each potential victim is targeted. For example, the adversary injects malicious instructions into an individual email or calendar invitation. Because the injection must then be sent (or pushed) to each specific target, the scale of the attack is limited, hampering mass exploits that hit the Internet at large.

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US manufacturers in many Rust Belt cities and towns are paying significantly higher electricity costs as growing energy demand from data centers strains the largest power grid operator in the United States. The resulting squeeze on profit margins for steelmakers and brick factories could further undermine President Donald Trump’s “Made in America” plan to revive US manufacturing, and it comes as Trump has simultaneously championed the tech companies behind the AI data center boom.

Factory electricity bills are generally rising faster than those for other business customers or residential customers, according to a Reuters analysis. It highlighted the example of the Belden Brick Company, a 141-year-old brick manufacturer in Ohio, whose electricity bills have soared from $1,600 to $12,000 per month due to a higher monthly capacity charge in the 13-state region served by the grid operator PJM Interconnection.

Meanwhile, the Steel Manufacturers Association warned that US steel companies concentrated in the Rust Belt region served by PJM Interconnection are paying tens of millions of dollars in higher power costs per year. Electricity accounts for 20 to 40 percent of the total production costs of making steel.

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DeepSeek, the Chinese startup developing large language models that are competitive with those from US companies like OpenAI and Anthropic, is planning to enter the silicon business, according to Reuters.

Citing three people familiar with the matter, Reuters writes that DeepSeek has been working on a move into silicon for about a year. It has been meeting with potential partners in the hardware and silicon space and has been hiring engineers for the project.

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In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones autonomously fly through the skies to drop off orders at customers’ homes, the idea of general-purpose robots helping humans with various tasks in workplaces or even homes may not seem far-fetched.

But that future hinges on developing increasingly autonomous robots powered by modern artificial intelligence—an ambitious vision that has motivated many researchers to become startup founders while also attracting billions of dollars in investment.

“When I started maybe about 15 years ago, I led a project team that was focused on autonomy, but in that era, the goal of that team was to just get a robot to navigate from point A to point B,” said Matt Malchano, vice president of software at the robotics company Boston Dynamics based in Waltham, Massachusetts. “And now, when we think of autonomy, we think of this huge space of tasks and things that we can imagine a robot doing on its own.”

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Anthropic quickly removed a tracker secretly monitoring Claude Code users in China after a security researcher exposed the hidden code and condemned the spyware-like tracking as a “serious breach of user trust.”

Last week, a web developer known as “Thereallo” was researching privacy issues in Claude Code and was shocked to find that the AI firm was using “prompt steganography” to hide code that tracks Chinese users “in plain sight.” This code wasn’t malicious, but it was sending information to Anthropic that most users wouldn’t detect, relying on shorthand markers to quietly flag users’ timezone, proxy, and potential connection to Chinese AI labs that Anthropic has accused of distillation attacks.

On X, Anthropic engineer Thariq Shihipar confirmed that the tracker was added to Claude Code as an “experiment” in March. According to Shihipar, the code “was meant to prevent account abuse from unauthorized resellers and protect against distillation.” Regarding the former, The Washington Post found unauthorized retailers have sold access to free models for $1 a month, and pro subscriptions that can cost $100 monthly sell for "as little as $12."

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Regulators are in an “arms race” to keep up with the use of artificial intelligence in financial services, a senior UK official has warned, with millions of people using the technology to help them make personal finance decisions.

Sheldon Mills, an executive director at the Financial Conduct Authority, told the FT the watchdog would need greater powers to stay on top of the rapid growth of AI and urged UK authorities to review whether the use of ChatGPT, Claude, Gemini, and other large language models should be subject to their rules.

Speaking ahead of the publication on Monday of an FCA-commissioned report he has written on the impact of AI in financial services, Mills said regulators in the area would have to embrace AI themselves to keep up with the “speed, pace, and scale of change” the technology is bringing to the sector and to help “monitor, detect, and tackle the risks.”

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OpenAI CEO Sam Altman is reportedly in active talks with the Trump administration about the US potentially acquiring a 5 percent stake in the leading AI firm.

Insider sources told the Financial Times that these talks are in “early stages,” but Altman “has argued that giving the public a financial stake in the company is the best way to share the upside of AI.”

Donald Trump favors the idea, and his administration has reportedly been talking to several AI firms about the possibility. According to FT’s sources, other companies approached to share similar stakes include Google and Meta.

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Ahead of a July 2 deadline to submit public comments, advocates are warning the Federal Trade Commission that it must keep close watch over Elon Musk’s X and firmly reject a recent bid to end the agency’s ongoing audits of the platform’s data handling.

Last month, the FTC posted a notice explaining that X had argued that an FTC order was no longer necessary due to changes Musk had made to the platform.

The initial order came as a penalty after the FTC found that a coding error had caused then-Twitter to improperly share users’ contact information for ad targeting that had initially been submitted for two-factor authentication. Under the order, X is subjected to costly independent audits, and the FTC has authority to demand documents to ensure compliance with data privacy laws without taking additional legal action.

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Google reported that its annual electricity consumption rose by 37 percent in 2025—the largest increase in the company’s history as Silicon Valley’s AI data center buildout continues. But the tech giant says it kept operational carbon emissions down by continuing to purchase massive amounts of clean energy.

The company’s latest sustainability report acknowledges that Google’s total electricity usage has increased by more than 250 percent since 2019, which the company attributed to ongoing growth in Google Cloud, YouTube video streaming, and data center construction and operations supporting various AI products and services. The unprecedented 37 percent annual increase is part of an ongoing trend, given how Google’s total electricity consumption also grew by 27 percent in 2024.

“While the path to achieving our climate ambitions will not be linear—given our AI infrastructure buildout is currently accelerating faster than the grid is decarbonizing—we remain focused on scaling abundant and affordable clean power globally and progressing technological innovations that drive down emissions across our operations and the broader industry,” according to the Google sustainability report.

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The US has lifted export curbs on Anthropic’s newest Claude models, Fable 5 and Mythos 5, about three weeks after the Trump administration flagged the models as national security risks.

As of today, Anthropic confirmed in a blog post, Fable 5 will be available globally, and US organizations have had access restored to Mythos 5 since June 26. Anthropic said it is now working with the government to expand Mythos access to a “broader set of domestic and international partners in the Glasswing program.” That program allows cybersecurity researchers at trusted companies to access Mythos for defensive purposes.

In a letter to Anthropic viewed by Reuters and The New York Times, Commerce Secretary Howard Lutnick said Anthropic would “no longer need a license for exports or in-country transfers of its Claude Mythos and Claude Fable AI models.” The letter acknowledged that Anthropic had “taken steps in close coordination with the US government to address the risks” posed by the models.

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Makers of AI browsers make lofty promises. With a single prompt, users can ask one to find a restaurant in a particular part of town, reserve a table, invite a colleague to lunch, and email a confirmation. These makers are much more reticent about the risks of blurring the once fine line between browsing sites and asking a large language model a question or instructing it to take potentially sensitive actions.

LLM developers’ answer so far has been to build guardrails that make some requests off-limits. Developing software exploits, stealing credentials, or teaching how to build a pipe bomb are examples. The problem with this approach is that the guardrails are reactive and treat the symptoms rather than solve the root cause. It’s tantamount to the manufacturer of an unsafe vehicle advocating for new road designs rather than fixing the flaws that make it prone to accidents.

Lulling LLMs into an alternate reality

New research puts this predicament on sharp display. It demonstrates how a website can lull AI browsers into a false reality where the rules governing its behavior no longer apply. After that, an attacker has free rein to invoke all kinds of destructive actions, such as extracting code from a private repository or extracting credentials from the built-in password manager.

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There are plenty of AI image-generation models these days, but the ones capable of quality outputs tend to be slow and expensive. Google DeepMind says its new image model, known as Nano Banana 2 Lite, offers the best balance of quality and speed. It's available today across the Google ecosystem, creating images in a fraction of the time it takes Google's beefier models.

The new model is part of the Gemini 3.1 family—it's technically called Gemini 3.1 Flash Lite Image. On one hand, Google says this model is ideal for exploring ideas and "rapid-fire" prototyping, applications in which quality can take a backseat. However, the company has also provided some examples aimed at showing how close Nano Banana 2 Lite can get to the quality of its other image models.

A comparison of Nano Banana 2 Lite with the non-Lite version. Credit: Google

In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions. However, vibemarking doesn't always focus on the details that can make AI images look silly upon closer inspection. Google notes that Nano Banana 2 Lite tends to have more trouble with text, particularly if it's very small, and infographics are more likely to include incorrect data. Characters and people may also show poor consistency across iterations.

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President Donald Trump’s plan to “fill the digital potholes” and use AI to quickly redesign every government website isn’t going very well.

Last August, Trump created the National Design Studio, or NDS, by executive order. A temporary DOGE-like entity that answers only to the president, NDS was tasked with creating new standards to update the US Web Design System (USWDS) and overhaul 27,000 dot-gov websites in just three years. At the end of this so-called “America by Design” initiative, the government’s “design language” would supposedly be more usable and beautiful, Trump expected.

However, that monumental task—assigned to a small team under a short timeframe—was seemingly made harder by DOGE's deep cuts to agencies previously responsible for improving government websites, including dismantling the 18F technology unit and restructuring the US Digital Service into DOGE.

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One way Donald Trump plans to celebrate July 4th is by rolling out children’s savings accounts, known as Trump Accounts, and apparently, he’s been angling to get a big donation from SpaceX as part of that push.

A person familiar with talks involving the Trump administration told Semafor that SpaceX has spoken with US officials about donating stock to Trump Accounts. At this stage, however, it remains unclear if a donation will be made or what impact a SpaceX donation might have on the value of the accounts, which Trump hopes will be a defining part of his legacy.

So far, 6 million children have been signed up for Trump Accounts, which officially launch next week on Independence Day. Trump accounts are a new type of individual retirement account available to any child under 18 with a Social Security number, and parents can sign up their kids through a Trump Accounts app that's already available for download. As an extra perk, any child born between 2025 and 2028 can receive a one-time $1,000 contribution from the government.

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South Korea’s government and top tech companies are committing $1 trillion to several flagship megaprojects that could bolster global memory chip supply, build new AI data centers, and spur commercial deployment of humanoid robots by 2028.

The announcement comes as South Korean companies such as Samsung and SK Hynix have enjoyed record profits and stock valuations due to the AI industry’s demand for memory chips—with the subsequent supply strain leading to memory chip shortages and higher prices for consumer electronics. Meanwhile, Hyundai Motor Company is racing to mass-manufacture humanoid robots developed by its subsidiary, Boston Dynamics, so that the robotic workers can start taking over certain laborious tasks in automotive factories and other workplaces.

“We must secure the core elements of AI faster than any other country,” said South Korean President Lee Jae Myung in a televised speech on June 29, as reported by BBC News and other media outlets. “Semiconductors, physical AI, and AI data centers are the triple axis for a great leap forward."

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