Last year Amazon's robotaxi service Zoox held a training session for 20 Las Vegas firefighters, police officers, and other first responders, reports the Washington Post, calling it "a new ritual for emergency workers across the country, as autonomous vehicles begin to spread beyond the handful of cities that served as initial testing grounds..." Questions that came up included: What can first responders do if the nearly 6,000-pound vehicle is blocking a roadway? (Better to pull, not push.) What happens if the vehicle loses its connectivity? (It's designed to pull over.) And can first responders manually shut off the vehicle? (Not yet, but Zoox is working on it....) The vehicles' operators claim they drive more safely than humans, but anything can happen on public roads, and first responders need to know how to intervene if a robotaxi is caught in a collision that traps passengers, catches fire or gets caught doing something that demands a traffic stop...

Alphabet's Waymo, which has more than 2,000 vehicles completing hundreds of thousands of paid trips each week across San Francisco and Silicon Valley, Los Angeles, Phoenix, Austin and Atlanta, has trained more than 20,000 first responders in how to interact with its vehicles, the company said. Tesla didn't respond to a request for comment on how many first responders the company has trained, but a representative from the Austin Police Department confirmed that fire, police and transit workers were trained on the company's Robotaxi before the company launched commercial service in June. Tesla, Waymo and Zoox say their vehicles can detect the lights and sirens of emergency vehicles and automatically attempt to pull over. Waymo says its vehicles can interpret first responders' hand signals....

The first responders appeared excited about the potential of the company's artificial intelligence technology to ferry visitors up and down the Vegas Strip without concern that a driver might be inebriated. They were also wary of problems that might unfold: Autonomous vehicles are electric, and when electric vehicles catch fire, they're difficult to extinguish, the firefighters said. The first responders also worried that a secondary air bag deployment could injure an emergency responder, a common concern with conventional vehicles. And if a police officer wanted to view the footage a Zoox vehicle captured on the road, would the company be willing to share it?

Turning over footage would require a subpoena, a Zoox official responded.
But "those who've been through the trainings and have seen large-scale commercial rollouts say it's difficult to anticipate all the potential issues in a specific market," the article points out.

• Darius Luttropp, former deputy chief of operations for the San Francisco Fire Department, told the Post last year that Waymo vehicles had blocked city firefighters from leaving and entering firehouses, and also crashed into their equipment.

• Lt. William White of the Austin Police Department told the Post that more than once Waymo vehicles failed to recognize an officer on a motorcycle with their police lights activated.

TIOBE attempts to calculate programming language popularity using the number of skilled engineers, courses, and third-party vendors.

And the eight most popular languages in September's rankings haven't changed since last month:

1. Python
2. C++
3. C
4. Java
5. C#
6. JavaScript
7. Visual Basic
8. Go

But by TIOBE's ranking, Perl is still the #10 most-popular programming in September (dropping from #9 in August). "One year ago Perl was at position 27 and now it suddenly pops up at position 10 again," marvels TIOBE CEO Paul Jansen. The technical reason why Perl is rated this high is because of its huge number of books on Amazon. It has 4 times more books listed than for instance PHP, or 7 times more books than Rust. The underlying "real" reason for Perl's increase of popularity is unknown to me. The only possibility I can think of is that Perl 5 is now gradually considered to become the real Perl... Perl 6/Raku is at position 129 of the TIOBE index, thus playing no role at all in the programming world. Perl 5 on the other hand is releasing more often recently, thus gaining attention.
An article at the i-Programmer blog thinks Perl's resurgence could be from its text processing capabilities: Even in this era of AI, everything is still governed by text formats; text is still the King. XML, JSON calling APIs, YAML, Markdown, Log files..That means that there's still need to process it, transform it, clean it, extract from it. Perl with its first-class-citizen regular expressions, the wealth of text manipulation libraries up on CPAN and its full Unicode support of all the latest standards, was and is still the best. Simply there's no other that can match Perl's text processing capabilities.
They also cite Perl's backing by the open source community, and its "getting a 'proper' OOP model in the last couple of years... People just don't know what Perl is capable of and instead prefer to be victims of FOMO ephemeral trends, chasing behind the new and shiny."

Perl creator Larry Wall answered questions from Slashdot's readers in 2016. So I'd be curious from Slashdot's readers about Perl today. (Share your experiences in the comments if you're still using Perl -- or Raku...)

Perl's drop to #9 means Delphi/Object Pascal rises up one rank, growing from 1.82% in August to 2.26% in September to claim September's #9 spot. "At number 11 and 1.86%, SQL is quite close to entering the top 10 again," notes TechRepublic. (SQL fell to #12 in June, which the site speculated was due to "the increased use of NoSQL databases for AI applications.")

But TechRepublic adds that the #1 most popular programming language (according to TIOBE) is still Python: Perl sits at 2.03% in TIOBE's proprietary ranking system in September, up from 0.64% in January. Last year, Perl held the 27th position... Python's unstoppable rise dipped slightly from 26.14% in August to 25.98% in September. Python is still well ahead of every other language on the index.

USA Today has an update on the curtailing of "mirror life" research: Kate Adamala had been working on something dangerous. At her synthetic biology lab, Adamala had been taking preliminary steps toward creating a living cell from scratch with one key twist: All the organism's building blocks would be flipped. Changing these molecules would create an unnatural mirror image of a cell, as different as your right hand from your left. The endeavor was not only a fascinating research challenge, but it also could be used to improve biotechnology and medicine. As Adamala and her colleagues talked with biosecurity experts about the project, however, grave concerns began brewing. "They started to ask questions like, 'Have you considered what happens if that cell gets released or what would happen if it infected a human?'" said Adamala, an associate professor at the University of Minnesota. They hadn't.

So researchers brought together dozens of experts in a variety of disciplines from around the globe, including two Nobel laureates, who worked for months to determine the risks of creating "mirror life" and the chances those dangers could be mitigated. Ultimately, they concluded, mirror cells could inflict "unprecedented and irreversible harm" on our world. "We cannot rule out a scenario in which a mirror bacterium acts as an invasive species across many ecosystems, causing pervasive lethal infections in a substantial fraction of plant and animal species, including humans," the scientists wrote in a paper published in the journal Science in December alongside a 299-page technical report...

[Report co-author Vaughn Cooper, a professor at the University of Pittsburgh who studies how bacteria adapt to new environments] said it's not yet possible to build a cell from scratch, mirror or otherwise, but researchers have begun the process by synthesizing mirror proteins and enzymes. He and his colleagues estimated that given enough resources and manpower, scientists could create a complete mirror bacteria within a decade. But for now, the world is probably safe from mirror cells. Adamala said virtually everyone in the small scientific community that was interested in developing such cells has agreed not to as a result of the findings.

The paper prompted nearly 100 scientists and ethicists from around the world to gather in Paris in June to further discuss the risks of creating mirror organisms. Many felt self-regulation is not enough, according to the institution that hosted the event, and researchers are gearing up to meet again in Manchester, England, and Singapore to discuss next steps.

BMW unveiled its new iX3 — with nearly 500 miles of rangeand ultra-fast charging. The EV news site Electrek reports: To maximize range, BMW gave it a clean, aerodynamic design with very few lines... The BMW iX3 offers an impressive WLTP range of up to nearly 500 miles (800 km). On the EPA scale, it's expected to deliver around 400 miles of range.

Based on an 800V architecture, the BMW iX3 can deliver charging speeds of up to 400 kW. According to BMW, that means it can add over 230 miles (370 km) in just 10 minutes.
It's also BMW's first EV with bidirectional charging, according to the article.

But MotorTrend calls it "BMW's Biggest Reinvention Since the '60s." The decision to move forward in every aspect — design, architecture, technology, software, and manufacturing — was made five years ago... The new Neue Klasse architecture will start out with EVs only, but aspects of this new vision will be adopted by 40 vehicles — SUVs, sedans, coupes, maybe even a supercar — with an assortment of powertrains by the end of 2027. In other words, Neue Klasse will touch and influence everything BMW does going forward... The design philosophy for the Neue Klasse vehicles is that they should look like they skipped an entire generation.
From BMW's announcement for the iX3: Physical controls are on hand, including for the windscreen wipers, turn signal indicators, exterior mirrors, volume control, gear selector, parking brake, hazard warning lights, rear window heating and defrost function. Other functions have been optimised for use by touch and voice command or via the multifunction steering wheel... [MotorTrends notes "you must use the screen to adjust the air vents."]

The BMW Panoramic Vision projects information across the full width of the windscreen, from A-pillar to A-pillar. The content in the centre and on the front passenger side can be adapted to personal tastes and requirements. Key driving information appears in the driver's field of vision. And above the BMW Panoramic Vision, the BMW 3D Head-Up Display (if specified) can now also show integrated navigation and automated driving displays on the road with spatial depth. The free-cut-design Central Display with matrix backlight technology is located in an ergonomically ideal position next to the steering wheel. On the driver's side, vertically arranged widgets enable fast and direct access to particularly frequently used functions using QuickSelect tech. The new multifunction steering wheel serves as the primary physical control point. Its button panels help the driver and vehicle to work together symbiotically using illuminations, a relief-like surface and haptic feedback.
Some details from MotorTrends: There's an avatar for the intelligent personal assistant, activated by saying, "Hey, BMW." The BMW roundel morphs into a blue circle with big, expressive eyes and eyebrows. It looks like an amiable alien that turns to face the person addressing it, and it's programmed to wink, blush, and more, as well as to not stare too long at anyone. The assistant is quick to respond, using Alexa tech and a male or female voice to provide directions, answer questions, and perform functions.
MotorTrends adds that the iX3 "is BMW's first software-defined vehicle, meaning it can use over-the-air updates to fix problems and add features and functions, keeping it fresh over its lifetime with software that BMW developed itself."

BMW's announcement also notes "the latest systems for automated driving optimise symbiotic human-vehicle interaction..." Whenever the driver wants to accelerate, brake or steer, their inputs merge seamlessly and intuitively with AI-enabled software... The functionality offered by the City Assistant includes traffic light detection, where the car automatically stops and then moves off again.

Alphabet's Google was hit with a $3.45 billion EU antitrust fine on Friday for anti-competitive practices in its lucrative adtech business, marking its fourth penalty in its decade long fight with EU competition regulators. From a report: The move by the European Commission was triggered by a complaint from the European Publishers Council and comes amid a threat by U.S. President Donald Trump to retaliate against the European Union for any push against Big Tech.

The EU competition enforcer had originally planned to hand out the fine on Monday but opposition from EU trade chief Maros Sefcovic on concerns about the impact on U.S. tariffs on European cars derailed EU antitrust chief Teresa Ribera's plan. The Commission said Google favored its own online display technology services to the detriment of rivals and online publishers and that it abused its market power since 2014 until today.

One of Australia's largest banks has apologized to staff who found out they had been fired through an automated email asking them to hand back their laptops. From a report: ANZ's retail banking executive Bruce Rush said it was "not our intention to share such sensitive news with you in this way" as the firm cuts jobs in its retail banking business. The bank said the emails were sent to some staff ahead of schedule in error. It said it has since stopped sending the emails and that staff have been spoken to personally.

The Financial Sector Union said the email caused "panic and distress" and was a result of the company forcing through a "chaotic pace of change." The union's president Wendy Streets said it had not been consulted on the changes the bank was making, adding that "ANZ must do better." "Speed and cost-cutting cannot come at the expense of dignity and respect for workers," Ms Streets said, describing the "botched" episode as "disgusting." Mr Rush wrote in an email to staff: "Unfortunately, these emails indicate an exit date for some of our colleagues before we've been able to share their outcome with them."

An anonymous reader quotes a report from Ars Technica: Greenhouse gas reduction is no longer a priority for the US government, but if you're looking for a new vehicle and want to buy something with the lowest life cycle carbon emissions, you're best off looking for a compact with a small battery. That's one of the findings from a group at the University of Michigan of a comprehensive study that calculates the overall cradle-to-grave carbon impact for different types of vehicles, including factors like powertrain options, location (within the country), and use patterns. Even better, they built a tool you can use yourself. The study, published in Environmental Science and Technology, compares internal combustion engine powertrains with hybrid, 35- and 50-mile range plug-in hybrids, and 200-mile, 300-mile, and 400-mile battery electric powertrains across compact and midsize sedans, small and midsize SUVs, and pickup trucks, using a life cycle assessment model developed by Argonne National Laboratory and data of model year 2025 vehicles from the Environmental Protection Agency. If you expected that a gas-powered pickup truck would have the biggest carbon footprint, you'd be right. With a driving profile of 43 percent city driving and the rest highways (no cargo), a pickup will emit about 486 g CO2e per mile. Compared to that, a compact electric sedan with a 200-mile battery has just 17 percent of the life cycle emissions and is responsible for just 81 g CO2e per mile.

A short-range electric pickup -- maybe that Slate that so many are salivating over -- is nearly as good, with a footprint that's only 25 percent the size of the gas pickup truck. On the other hand, hybrid powertrains (the kind that don't plug in) only reduce life cycle carbon compared to internal combustion alone by a modest amount -- between 11 and 13 percent, depending on the vehicle class. Plug-in hybrids with 35 miles of range can reduce emissions compared to plain combustion by 53-56 percent; with 50-mile batteries the reduction is 56-60 percent, assuming the PHEVs were driven in electric mode for 58 percent and 69 percent of the time, respectively. When it comes to BEVs, the smallest battery pack always has the least environmental impact. BEV powertrains with 400 miles of range have lifecycle emissions that are 67-69 percent lower than an ICE powertrain in the same vehicle. For 300-mile BEVs, this is an 81-83 percent reduction. A 200-mile BEV can be expected to contribute just 25-26 percent as much CO2e as an equivalent gas-burning vehicle would.

That's not because EVs with big batteries are inefficient -- far from it -- but because making a battery for an EV is a very energy-intensive process. Most emissions from internal combustion engine (92 percent) and hybrid (89 percent) vehicles come from their use on the roads. But this changes once you start adding significant kWh-worth of battery. For PHEVs, the use phase is more like 73-80 percent, and for BEVs, it's just 48-60 percent, depending on the size of the batteries. The researchers also modeled different driving behaviors, including the use cases of someone who uses their vehicle just to commute and run errands; the "occasional road-tripper," most of whose needs are met by a small battery; and a contractor or someone else who has to drive a lot for work, with varying amounts of cargo onboard. As we've known for some time, where you get your energy from affects how clean your EV will be, and switching from gasoline to an EV has more of an impact in Seattle (which relies on hydropower) versus Cincinnati (where the electricity comes from burning coal), for both PHEVs and BEVs.

Yahoo Finance interviews Peter Cappelli, a Wharton professor of management, on "the business case for employers pushing for workers to get back to the office." (Cappelli has co-written a new book with workplace strategist Ranya Nehmeh titled In Praise of the Office: The Limits to Hybrid and Remote Work ...) Yahoo Finance: What's wrong with a hybrid work arrangement?

Cappelli: People just don't come in. That's maybe the single biggest factor. There is a growing awareness that people are really never there on their anchor days. If you want that for your company, you have to manage that attendance...

Yahoo Finance: What's the compelling advantage of in-person work?

Cappelli: There's value in human interaction, what we learn from each other, the cooperation that we can get in solving problems, and the motivation and commitment that comes from being around other people... When you first began your career, imagine what it would've been like if no one was in the office. You'd be completely lost.

If you think about how we learn about office work, we learn by watching. You learn what the values of the organization are. You learn it from the conversations in the office. You can see how the boss reacts to different requests and different problems. As you advance, you've got your ear to the ground, and you've got the opportunity to raise your hand and pitch in and have some influence. You can catch the boss between meetings and pass along a little tidbit of information, and you develop relationships with people where you can solve problems... Those are the kind of things that we miss when we move to remote — in addition to the general fact that people are energized by working with people.

With remote work, people also spend more time in meetings that are worthless. A lot of those things could be fixed, but the problem is they're not.
He argues remote work isn't as widespread as it seems. ("In Europe, for example, where employees have always had more power, I figured remote work would stay. It hasn't. Most everybody's gone back to the office.") Even in the U.S., 70% of employers are in-office, all the time. ("[M]ost employers are small. Remote work and hybrid work, in particular, is largely a big city, big company phenomenon... It's only white-collar jobs.")

And fewer jobs offered are being offered with remote-working options, he believes, now that the labor market has softened. "CEOs are now thinking we're losing something, and the employee resistance to return to the office has weakened.... The longer you wait, the harder it is to ever get people to come back without a big fight. " Cappelli: Right now, people might be saying, 'I will quit if I have to go back to the office,' but it turns out they don't mean it. The reason, of course, is it's one thing to say that you will quit; it's another to actually walk away from a paycheck...

If you opt for remote or hybrid, good outcomes don't happen by themselves. You can make it work, but it requires more time and effort for management, more rules, more practices, more leadership.

"Several cybersecurity companies debuted advancements in AI agents at the Black Hat conference last week," reports Axios, "signaling that cyber defenders could soon have the tools to catch up to adversarial hackers." - Microsoft shared details about a prototype for a new agent that can automatically detect malware — although it's able to detect only 24% of malicious files as of now.

- Trend Micro released new AI-driven "digital twin" capabilities that let companies simulate real-world cyber threats in a safe environment walled off from their actual systems.

- Several companies and research teams also publicly released open-source tools that can automatically identify and patch vulnerabilities as part of the government-backed AI Cyber Challenge.

Yes, but: Threat actors are now using those AI-enabled tools to speed up reconnaissance and dream up brand-new attack vectors for targeting each company, John Watters, CEO of iCounter and a former Mandiant executive, told Axios.
The article notes "two competing narratives about how AI is transforming the threat landscape." One says defenders still have the upper hand. Cybercriminals lack the money and computing resources to build out AI-powered tools, and large language models have clear limitations in their ability to carry out offensive strikes. This leaves defenders with time to tap AI's potential for themselves. [In a DEF CON presentation a member of Anthropic's red team said its Claude AI model will "soon" be able to perform at the level of a senior security researcher, the article notes later]

Then there's the darker view. Cybercriminals are already leaning on open-source LLMs to build tools that can scan internet-connected devices to see if they have vulnerabilities, discover zero-day bugs, and write malware. They're only going to get better, and quickly...

Right now, models aren't the best at making human-like judgments, such as recognizing when legitimate tools are being abused for malicious purposes. And running a series of AI agents will require cybercriminals and nation-states to have enough resources to pay the cloud bills they rack up, Michael Sikorski, CTO of Palo Alto Networks' Unit 42 threat research team, told Axios. But LLMs are improving rapidly. Sikorski predicts that malicious hackers will use a victim organization's own AI agents to launch an attack after breaking into their infrastructure.

An anonymous reader quotes a report from NPR: Boston Public Library, one of the oldest and largest public library systems in the country, is launching a project this summer with OpenAI and Harvard Law School to make its trove of historically significant government documents more accessible to the public. The documents date back to the early 1800s and include oral histories, congressional reports and surveys of different industries and communities. "It really is an incredible repository of primary source materials covering the whole history of the United States as it has been expressed through government publications," said Jessica Chapel, the Boston Public Library's chief of digital and online services. Currently, members of the public who want to access these documents must show up in person. The project will enhance the metadata of each document and will enable users to search and cross-reference entire texts from anywhere in the world. Chapel said Boston Public Library plans to digitize 5,000 documents by the end of the year, and if all goes well, grow the project from there. Because of this historic collection's massive size and fragility, getting to this goal is a daunting process. Every item has to be run through a scanner by hand. It takes about an hour to do 300-400 pages.

Harvard University said it could help. Researchers at the Harvard Law School Library's Institutional Data Initiative are working with libraries, museums and archives on a number of fronts, including training new AI models to help libraries enhance the searchability of their collections. AI companies help fund these efforts, and in return get to train their large language models on high-quality materials that are out of copyright and therefore less likely to lead to lawsuits. "Having information institutions like libraries involved in building a sustainable data ecosystem for AI is critical, because it not just improves the amount of data we have available, it improves the quality of the data and our understanding of what's in it," said Burton Davis, vice president of Microsoft's intellectual property group. [...] OpenAI is helping Boston Public Library cover such costs as scanning and project management. The tech company does not have exclusive rights to the digitized data.

Meta's Threads has surpassed 400 million monthly active users, adding 50 million in the last quarter and closing the gap with rival X in mobile daily usage. "As of a few weeks ago [there are] more than 400 million people active on Threads every month," said Instagram head Adam Mosseri. "It's been quite the ride over the last two years. This started as a zany idea to compete with Twitter, and has evolved into a meaningful platform that fosters the open exchange of perspectives. I'm grateful to all of you for making this place what it is today. There's so much work to do from our side, more to come." TechCrunch reports: X, meanwhile, has north of 600 million monthly active users, according to previous statements made by its former CEO, Linda Yaccarino. Recent data from market intelligence provider Similarweb showed that Threads is nearing X's daily app users on mobile devices. In June 2025, Threads' mobile app for iOS and Android saw 115.1 million daily active users, marking a 127.8% increase compared to the previous year. On the other hand, X reached 132 million daily active users, reflecting a 15.2% year-over-year decline.

However, Similarweb found that X's worldwide daily web visits are well ahead of Threads, as the [...] social network saw 145.8 million average daily web visits worldwide in June, while Threads had just 6.9 million.

schwit1 shares a report: China's biggest solar firms shed nearly one-third of their workforces last year, company filings show, as one of the industries hand-picked by Beijing to drive economic growth grapples with falling prices and steep losses. The job cuts illustrate the pain from the vicious price wars being fought across Chinese industries, including solar and electric vehicles, as they grapple with overcapacity and tepid demand. The world produces twice as many solar panels each year as it uses, with most of them manufactured in China.

Longi Green Energy, Trina Solar, Jinko Solar, JA Solar, and Tongwei, collectively shed some 87,000 staff, or 31% of their workforces on average last year, according to a Reuters review of employment figures in public filings.

An anonymous reader quotes a report from Politico: Transportation Secretary Sean Duffy will announce expedited plans this week to build a nuclear reactor on the moon, the first major action by the former Fox News host as the interim NASA administrator. NASA has discussed building a reactor on the lunar surface, but this would set a more definitive timeline -- according to documents obtained by POLITICO -- and come just as the agency faces a massive budget cut. [...] The reactor directive orders the agency to solicit industry proposals for a 100 kilowatt nuclear reactor to launch by 2030, a key consideration for astronauts' return to the lunar surface. NASA previously funded research into a 40 kilowatt reactor for use on the moon, with plans to have a reactor ready for launch by the early 2030s.

The first country to have a reactor could "declare a keep-out zone which would significantly inhibit the United States," the directive states, a sign of the agency's concern about a joint project China and Russia have launched. The directive also orders NASA to designate a leader for the effort and to get industry input within 60 days. The agency is seeking companies able to launch a reactor by 2030 since that's around the time China intends to land its first astronaut on the moon. The nuclear initiative means that NASA will continue to have a hand in nuclear development even after the Pentagon's recent cancellation of a joint program on nuclear-powered rocket engines. "While the budget did not prioritize nuclear propulsion, that wasn't because nuclear propulsion is seen as a non-worthy technology," the NASA official said.

Disney "cloned" Dwayne Johnson when filming a live-action Moana, reports the Wall Street Journal, using an AI process that they were ultimately afraid to use: Under the plan they devised, Johnson's similarly buff cousin Tanoai Reed — who is 6-foot-3 and 250 pounds — would fill in as a body double for a small number of shots. Disney would work with AI company Metaphysic to create deepfakes of Johnson's face that could be layered on top of Reed's performance in the footage — a "digital double" that effectively allowed Johnson to be in two places at once... Johnson approved the plan, but the use of a new technology had Disney attorneys hammering out details over how it could be deployed, what security precautions would protect the data and a host of other concerns. They also worried that the studio ultimately couldn't claim ownership over every element of the film if AI generated parts of it, people involved in the negotiations said. Disney and Metaphysic spent 18 months negotiating on and off over the terms of the contract and work on the digital double. But none of the footage will be in the final film when it's released next summer...

Interviews with more than 20 current and former employees and partners present an entertainment giant torn between the inevitability of AI's advance and concerns about how to use it. Progress has at times been slowed by bureaucracy and hand-wringing over the company's social contract with its fans, not to mention its legal contract with unions representing actors, writers and other creative partners... For Disney, protecting its characters and stories while also embracing new AI technology is key. "We have been around for 100 years and we intend to be around for the next 100 years," said the company's legal chief, Horacio Gutierrez, in an interview. "AI will be transformative, but it doesn't need to be lawless...." [As recently as June, a Disney/Comcast Universal lawsuit had argued that Midjourney "is the quintessential copyright free-rider and a bottomless pit of plagiarism."]

Concerns about bad publicity were a big reason that Disney scrapped a plan to use AI in Tron: Ares — a movie set for release in October about an AI-generated soldier entering the real world. Since the movie is about artificial intelligence, executives pitched the idea of actually incorporating AI into one of the characters... as a buzzy marketing strategy, according to people familiar with the matter. A writer would provide context on the animated character — a sidekick to Jeff Bridges' lead role named Bit — to a generative AI program. Then on screen, the AI program, voiced by an actor, would respond to questions as Bit as cameras rolled. But with negotiations with unions representing writers and actors over contracts happening at the same time, Disney dismissed the idea, and executives internally were told that the company couldn't risk the bad publicity, the people said...

Disney's own history speaks to how studios have navigated technological crossroads before. When Disney hired Pixar to produce a handful of graphic images for its 1989 hit The Little Mermaid, executives kept the incorporation a secret, fearing backlash from fans if they learned that not every frame of the animated film had been hand-drawn. Such knowledge, executives feared, might "take away the magic."
Disney invested $1.5 billion in Fortnite creator Epic Games, acccording to the article, and is planning a world in Fortnite where gamers can interact with Marvel superheroes and creatures from Avatar. But "an experiment to allow gamers to interact with an AI-generated Darth Vader was fraught. Within minutes of launching the AI bot, gamers had figured out a way to make it curse in James Earl Jones's signature baritone." (Though Epic patched the workaround within 30 minutes.)

But the article spells out another concern for Disney executives. "If a Fortnite gamer creates a Darth Vader and Spider-Man dance that goes viral on YouTube, who owns that dance?

The Chinese government "has embarked on an all-out drive to transform the technology from a remote concept to a newfangled reality, with applications on factory floors and in hospitals and government offices..." reports the Washington Post.

"[E]xperts say Beijing is pursuing an alternative playbook in an attempt to bridge the gap" with America: "aggressively pushing for the adoption of AI across the government and private sector." DeepSeek has been put to work over the last six months on a wide variety of government tasks. Procurement documents show military hospitals in Shaanxi and Guangxi provinces specifically requesting DeepSeek to build online consultation and health record systems. Local government websites describe state organs using DeepSeek for things like diverting calls from the public and streamlining police work. DeepSeek helps "quickly discover case clues and predict crime trends," which "greatly improves the accuracy and timeliness of crime fighting," a city government in China's Inner Mongolia region explained in a February social media post. Anti-corruption investigations — long a priority for Chinese leader Xi Jinping — are another frequent DeepSeek application, in which models are deployed to comb through dry spreadsheets to find suspicious irregularities. In April, China's main anti-graft agency even included a book called "Efficiently Using DeepSeek" on its official book recommendation list...

Alfred Wu, an expert on China's public governance at the National University of Singapore, said Beijing has disseminated a "top-down" directive to local governments to use AI. This is motivated, Wu said, by a desire to improve China's AI prowess amid a fierce rivalry with Washington by providing models access to vast stores of government data.

But not everyone is convinced that China has the winning hand, even as it attempts to push AI application nationwide. For one, China's sluggish economy will impact the AI industry's ability to grow and access funding, said Scott Singer [an expert on China's AI sector at the Carnegie Endowment for International Peace, who was attending the conference]... Others point out that local governments trumpeting their usage of DeepSeek is more about signaling than real technology uptake. Shen Yang, a professor at Tsinghua University's school of artificial intelligence, said DeepSeek is not being used at scale in anti-corruption work, for example, because the cases involve sensitive information and deploying new tools in these investigations requires long and complex approval processes.

After an 8.8 earthquake off the coast of Russia, "weather authorities leapt into action," reports SFGate, by modeling the threat of a tsunami "and releasing warnings and advisories to prepare their communities..."

But some residents of Hawaii, Japan and North America's West Coast turned to AI tools for updates that "appear to have badly bungled the critical task at hand." Google's "AI Overview," for example, reportedly gave "inaccurate information about authorities' safety warnings in Hawaii and elsewhere," according to reports on social media. Thankfully, the tsunami danger quickly subsided on Tuesday night and Wednesday morning without major damage. Still, the issues speak to the growing role of AI tools in people's information diets... and to the tools' potentially dangerous fallibility... A critic of Google — who prompted the search tool to show an AI overview by adding "+ai" to their search — called the text that showed up "dangerously wrong."
Responding to similar complaints, Grok told one user on X.com "We'll improve accuracy."

An anonymous reader quotes a report from SFGATE: During the 2010s' boom in on-demand services such as Uber and DoorDash, Wag staked a claim to the market for dog walking. It became a buzzy, high-flying company, at one point gaining a valuation of around $650 million, and grew to offer a whole range of tech products for pet care. But as the years passed, struggles mounted and profits remained elusive. On July 21, Wag filed (PDF) for bankruptcy. To stay alive, the San Francisco-headquartered company is now using bankruptcy court to restructure in what's known as a Chapter 11 process. Its lines of business -- including gig-work dog walking and sitting, pet insurance, and the veterinary tool "Furscription" -- will remain open, according to a news release. If a judge approves Wag's restructuring plan, it will take the company off the public markets and into the private hands of a company called Retriever.

On the same day of the bankruptcy filing, Wag's chief financial officer, Alec Davidian, submitted a document (PDF) supporting and explaining the move. He wrote that Wag's "monthly revenues declined rapidly after March 2020 as a result of the COVID-19 pandemic" and pointed to $69.5 million in losses from 2022 through 2024. The losses weren't Wag's only problem. The company had taken out debt in 2022 when it went public, and in that loan agreement, it had set a minimum level of cash Wag would need to have on hand at all times. This year, Wag dropped below that amount, Davidian wrote. Wag also failed to find a third-party deal to get more money, the CFO noted, and its debt obligations are set to mature in August, meaning the company was "facing a dire liquidity crisis." So, Wag opted for the bankruptcy proceeding, in which it plans to eliminate the 2022 debt, which is currently held by Retriever. "Through the Restructuring," Davidian wrote, "[Wag] will emerge from these Chapter 11 Cases a stronger company, with a more sustainable capital structure that is better aligned with [Wag's] present and future operating prospects."

In 1995's online world, AOL existed mostly beside the internet as a "walled, manicured garden," remembers Fast Company.

Then along came AOHell "the first of what would become thousands of programs designed by young hackers to turn the system upside down" — built by a high school dropout calling himself "Da Chronic" who says he used "a computer that I couldn't even afford" using "a pirated copy of Microsoft Visual Basic." [D]istributed throughout the teen chatrooms, the program combined a pile of tricks and pranks into a slick little control panel that sat above AOL's windows and gave even newbies an arsenal of teenage superpowers. There was a punter to kick people out of chatrooms, scrollers to flood chats with ASCII art, a chat impersonator, an email and instant message bomber, a mass mailer for sharing warez (and later mp3s), and even an "Artificial Intelligence Bot" [which performed automated if-then responses]. Crucially, AOHell could also help users gain "free" access to AOL. The program came with a program for generating fake credit card numbers (which could fool AOL's sign up process), and, by January 1995, a feature for stealing other users' passwords or credit cards. With messages masquerading as alerts from AOL customer service reps, the tool could convince unsuspecting users to hand over their secrets...

Of course, Da Chronic — actually a 17-year-old high school dropout from North Carolina named Koceilah Rekouche — had other reasons, too. Rekouche wanted to hack AOL because he loved being online with his friends, who were a refuge from a difficult life at home, and he couldn't afford the hourly fee. Plus, it was a thrill to cause havoc and break AOL's weak systems and use them exactly how they weren't meant to be, and he didn't want to keep that to himself. Other hackers "hated the fact that I was distributing this thing, putting it into the team chat room, and bringing in all these noobs and lamers and destroying the community," Rekouche told me recently by phone...

Rekouche also couldn't have imagined what else his program would mean: a free, freewheeling creative outlet for thousands of lonely, disaffected kids like him, and an inspiration for a generation of programmers and technologists. By the time he left AOL in late 1995, his program had spawned a whole cottage industry of teenage script kiddies and hackers, and fueled a subculture where legions of young programmers and artists got their start breaking and making things, using pirated software that otherwise would have been out of reach... In 2014, [AOL CEO Steve] Case himself acknowledged on Reddit that "the hacking of AOL was a real challenge for us," but that "some of the hackers have gone on to do more productive things."

When he first met Mark Zuckerberg, he said, the Facebook founder confessed to Case that "he learned how to program by hacking [AOL]."
"I can't imagine somebody doing that on Facebook today," Da Chronic says in a new interview with Fast Company. "They'll kick you off if you create a Google extension that helps you in the slightest bit on Facebook, or an extension that keeps your privacy or does a little cool thing here and there. That's totally not allowed."

AOHell's creators had called their password-stealing techniques "phishing" — and the name stuck. (AOL was working with federal law enforcement to find him, according to a leaked internal email, but "I didn't even see that until years later.") Enrolled in college, he decided to write a technical academic paper about his program. "I do believe it caught the attention of Homeland Security, but I think they realized pretty quickly that I was not a threat."

He's got an interesting perspective today, noting with today's AI tool's it's theoretically possible to "craft dynamic phishing emails... when I see these AI coding tools I think, this might be like today's Visual Basic. They take out a lot of the grunt work."

What's the moral of the story? "I didn't have any qualifications or anything like that," Da Chronic says. "So you don't know who your adversary is going to be, who's going to understand psychology in some nuanced way, who's going to understand how to put some technological pieces together, using AI, and build some really wild shit."

Scientists using the largest-ever catalog of Type 1a supernovas -- cosmic explosions from white dwarf "vampire stars" -- have uncovered further evidence that dark energy may not be constant. While the findings are still preliminary, they suggest the mysterious force driving the universe's expansion could be weakening, which "would have ramifications for our understanding of how the cosmos will end," reports Space.com. From the report: By comparing Type 1a supernovas at different distances and seeing how their light has been redshifted by the expansion of the universe, the value for the rate of expansion of the universe (the Hubble constant) can be obtained. Then, that can be used to understand the impact of dark energy on the cosmos at different times. This story is fitting because it was the study of 50 Type 1a supernovas that first tipped astronomers off to the existence of dark energy in the first place back in 1998. Since then, astronomers have observed a further 2,000 Type 1a supernovas with different telescopes. This new project corrects any differences between those observations caused by different astronomical instruments, such as how the filters of telescopes drift over time, to curate the largest standardized Type 1a supernova dataset ever. It's named Union3.

Union3 contains 2,087 supernovas from 24 different datasets spanning 7 billion years of cosmic time. It builds upon the 557 supernovas catalogued in an original dataset called Union2. Analysis of Union3 does indeed seem to corroborate the results of DESI -- that dark energy is weakening over time -- but the results aren't yet conclusive. What is impressive about Union3, however, is that it presents two separate routes of investigation that both point toward non-constant dark energy. "I don't think anyone is jumping up and down getting overly excited yet, but that's because we scientists are suppressing any premature elation since we know that this could go away once we get even better data," Saul Perlmutter, study team member and a researcher at Berkeley Lab, said in a statement. "On the other hand, people are certainly sitting up in their chairs now that two separate techniques are showing moderate disagreement with the simple Lambda CDM model."

And when it comes to dark energy in general, Perlmutter says the scientific community will pay attention. After all, he shared the 2011 Nobel Prize in Physics for discovering this strange force. "It's exciting that we're finally starting to reach levels of precision where things become interesting and you can begin to differentiate between the different theories of dark energy," Perlmutter said.

Meta researchers published findings in Nature Wednesday detailing a wristband prototype that controls computers through hand gestures by reading electrical signals from forearm muscles. The device uses surface electromyography to detect signals from alpha motor neurons in the spinal cord that connect to muscle fibers, allowing users to move cursors with wrist turns, open applications with thumb-to-forefinger taps, and write text by tracing letters in the air.

The technology, developed at Meta's Reality Labs, trained neural networks on data from 10,000 participants to identify common muscle signal patterns. The wristband works without individual calibration across most users and can detect intended movements before physical motion occurs. Meta demonstrated the device controlling its Orion augmented reality glasses last fall and plans product integration over the next few years.