Google DeepMind's new "nano banana" model (officially named Gemini 2.5 Flash Image) has taken the top spot on AI image-editing leaderboards by delivering far more consistent edits than before. It's being rolled out to the Gemini app today. Ars Technica has the details: AI image editing allows you to modify images with a prompt rather than mucking around in Photoshop. Google first provided editing capabilities in Gemini earlier this year, and the model was more than competent out of the gate. But like all generative systems, the non-deterministic nature meant that elements of the image would often change in unpredictable ways. Google says nano banana (technically Gemini 2.5 Flash Image) has unrivaled consistency across edits -- it can actually remember the details instead of rolling the dice every time you make a change.

This unlocks several interesting uses for AI image editing. Google suggests uploading a photo of a person and changing their style or attire. For example, you can reimagine someone as a matador or a '90s sitcom character. Because the nano banana model can maintain consistency through edits, the results should still look like the person in the original source image. This is also the case when you make multiple edits in a row. Google says that even down the line, the results should look like the original source material.

Gemini's enhanced image editing can also merge multiple images, allowing you to use them as the fodder for a new image of your choosing. Google's example below takes separate images of a woman and a dog and uses them to generate a new snapshot of the dog getting cuddles -- possibly the best use of generative AI yet. Gemini image editing can also merge things in more abstract ways and will follow your prompts to create just about anything that doesn't run afoul of the model's guard rails.

Anthropic reached a settlement with authors in a high-stakes copyright class action that threatened the AI company with potentially billions of dollars in damages. From a report: In a Tuesday filing in the US Court of Appeals for the Ninth Circuit, both sides asked the court to pause all proceedings while they finalize the deal. The parties signed a binding term sheet on Aug. 25 outlining the core terms of a proposed class settlement to resolve litigation brought by authors.

"This historic settlement will benefit all class members," said the authors' counsel, Justin Nelson of Susman Godfrey LLP. "We look forward to announcing details of the settlement in the coming weeks." The case is one of several copyright actions brought against AI developers in courts around the country. Judge William Alsup of the US District Court for the Northern District of California had allowed the class action to proceed for authors whose books were contained in two pirate databases Anthropic downloaded.

The Michigan Supreme Court has drawn a firm line around digital privacy, ruling that police cannot use overly broad warrants to comb through every corner of a person's phone. From a report: In People v. Carson, the court found [PDF] that warrants for digital devices must include specific limitations, allowing access only to information directly tied to the suspected crime. Michael Carson became the focus of a theft investigation involving money allegedly taken from a neighbor's safe. Authorities secured a warrant to search his phone, but the document placed no boundaries on what could be examined.

It permitted access to all data on the device, including messages, photos, contacts, and documents, without any restriction based on time period or relevance. Investigators collected over a thousand pages of information, much of it unrelated to the accusation. The court ruled that this kind of expansive warrant violates the Fourth Amendment, which requires particularity in describing what police may search and seize.

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.

More than 30,000 Python developers from around the world answered questions for the Python Software Foundation's annual survey — and PSF Fellow Michael Kennedy tells the Python community what they've learned in a new blog post. Some highlights: Most still use older Python versions despite benefits of newer releases... Many of us (15%) are running on the very latest released version of Python, but more likely than not, we're using a version a year old or older (83%). [Although less than 1% are using "Python 3.5 or lower".] The survey also indicates that many of us are using Docker and containers to execute our code, which makes this 83% or higher number even more surprising... You simply choose a newer runtime, and your code runs faster. CPython has been extremely good at backward compatibility. There's rarely significant effort involved in upgrading... [He calculates some cloud users are paying up to $420,000 and $5.6M more in compute costs.] If your company realizes you are burning an extra $0.4M-$5M a year because you haven't gotten around to spending the day it takes to upgrade, that'll be a tough conversation...

Rust is how we speed up Python now... The Python Language Summit of 2025 revealed that "Somewhere between one-quarter and one-third of all native code being uploaded to PyPI for new projects uses Rust", indicating that "people are choosing to start new projects using Rust". Looking into the survey results, we see that Rust usage grew from 27% to 33% for binary extensions to Python packages... [The blog post later advises Python developers to learn to read basic Rust, "not to replace Python, but to complement it," since Rust "is becoming increasingly important in the most significant portions of the Python ecosystem."]

PostgreSQL is the king of Python databases, and only it's growing, going from 43% to 49%. That's +14% year over year, which is remarkable for a 28-year-old open-source project... [E]very single database in the top six grew in usage year over year. This is likely another indicator that web development itself is growing again, as discussed above...

[N]early half of the respondents (49%) plan to try AI coding agents in the coming year. Program managers at major tech companies have stated that they almost cannot hire developers who don't embrace agentic AI. The productive delta between those using it and those who avoid it is simply too great (estimated at about 30% greater productivity with AI).
It's their eighth annual survey (conducted in collaboration with JetBrains last October and November). But even though Python is 34 years old, it's still evolving. "In just the past few months, we have seen two new high-performance typing tools released," notes the blog post. (The ty and Pyrefly typecheckers — both written in Rust.) And Python 3.14 will be the first version of Python to completely support free-threaded Python... Just last week, the steering council and core developers officially accepted this as a permanent part of the language and runtime... Developers and data scientists will have to think more carefully about threaded code with locks, race conditions, and the performance benefits that come with it. Package maintainers, especially those with native code extensions, may have to rewrite some of their code to support free-threaded Python so they themselves do not enter race conditions and deadlocks.

There is a massive upside to this as well. I'm currently writing this on the cheapest Apple Mac Mini M4. This computer comes with 10 CPU cores. That means until this change manifests in Python, the maximum performance I can get out of a single Python process is 10% of what my machine is actually capable of. Once free-threaded Python is fully part of the ecosystem, I should get much closer to maximum capacity with a standard Python program using threading and the async and await keywords.
Some other notable findings from the survey:

• Data science is now over half of all Python. This year, 51% of all surveyed Python developers are involved in data exploration and processing, with pandas and NumPy being the tools most commonly used for this.

• Exactly 50% of respondents have less than two years of professional coding experience! And 39% have less than two years of experience with Python (even in hobbyist or educational settings)...

• "The survey tells us that one-third of devs contributed to open source. This manifests primarily as code and documentation/tutorial additions."

"Only a tiny fraction of the more than 7,000 languages on Earth are supported by artificial intelligence models," reported SiliconANGLE this week. So Nvidia announced "a massive new AI-ready dataset and models to support the development of high-quality AI translation for European languages." The new dataset, named Granary, is a massive open-source corpus of multilingual audio, including more than a million hours of audio, plus 650,000 hours of speech recognition and 350,000 hours of speech translation. Nvidia's speech AI team collaborated with researchers from Carnegie Mellon University and Fondazione Bruno Kessler to process unlabeled audio and public speech data into information usable for AI training... Granary includes 25 European languages, representing nearly all of the European Union's 24 official languages, plus Russian and Ukrainian. The dataset also contains languages with limited available data, such as Croatian, Estonian and Maltese. This is critically important because providing these underrepresented human-annotated datasets will enable developers to create more inclusive speech technologies for audiences who speak those languages, while using less training data in their AI applications and models... The team demonstrated in their research paper that, compared to other popular datasets, it takes around half as much Granary training data to achieve high accuracy for automatic speech recognition and automatic speech translation.

Alongside Granary, Nvidia also released new Canary and Parakeet models to demonstrate what can be created with the dataset... The new Canary is available under a fairly permissive license for commercial and research use, expanding Canary's current languages from four to 25. It offers transcription and translation quality comparable to models three times larger while running inference up to 10 times faster. At 1 billion parameters, it can run completely on-device on most next-gen flagship smartphones for speech translation on the fly.

The Free Software Foundation announced a special photography contest honoring its 40th anniversary: The technology we use every day has changed dramatically since our founding nearly forty years ago, including the way we interact with it... We're incredibly grateful for the countless hours that developers and users have put into the free software programs that exist today. Without all the people who cared enough to make and use software that respects the four freedoms four decades or even a year ago, we wouldn't have much to celebrate.

We want to honor the hard work that has gone into free software and its development with the FSF40 Photo Contest. Starting on August 14, 2025, we're inviting free software supporters worldwide to share how they use free software on a daily basis. While we can think of hundreds of ways that free software can be used, there's almost certainly many of you who have thought of much more creative ways to involve libre software every day!

Shortly after the photo contest closes on August 31, 2025, we will invite you and other free software supporters to vote for your favorite of the #FSF40Photos... We will be displaying the winning photos at our fortieth [anniversary] celebration in Boston, MA on October 4, 2025 — we hope you get to see them on a big screen with us!
Earlier this month the FSF also shared 40 links from around the FSF and GNU sites "that give a sense of what we've been doing all this time as we work for your freedom." (For example, 2007's announcement of the GNU General Public License, version 3.)

An anonymous reader quotes a report from the New York Times: There's an overwhelming sense of deja vu at multiplexes these days. In August alone, "Black Swan" (2010) is returning to theaters, along with the Tim Burton "Batman" movies from 1989 and 1992. Audiences will be able to revisit the oceanic terror of "Jaws" (1975), as well as the comic mystery (and multiple endings) of "Clue" (1985). Or they could groove to Prince's "Sign o' the Times" concert film from 1987. And it doesn't look like the rerelease trend is slowing down. In September, "The Breakfast Club" (1985) is returning, Pixar is bringing back "Toy Story" (1995), and "Apollo 13" (1995) is blasting off again. "Casper" (1995) will haunt screens for nearly the entire month of October, while "Avatar: The Way of Water" (2022) will run for about five days, teeing up the forthcoming "Avatar: Fire and Ash." And there are still more to come before the end of the year.

Rereleases have long been part of the theatrical ecosystem. After all, "Star Wars" movies have been heading back to multiplexes routinely since 1981 -- before "Return of the Jedi" even debuted. But recently, studios have been digging deeper into their archives for a variety of reasons -- only some of which have to do with nostalgia. "Black Swan," from Searchlight, which is now owned by Disney, took over around 200 IMAX screens to commemorate its 15th anniversary. Universal's specialty arm, Focus Features, rereleased both "Pride & Prejudice" (2005) and "Brokeback Mountain" (2005) earlier this year. "Pride & Prejudice" ultimately grossed more than $6 million domestically this time around, about 16 percent of its original U.S. box office haul.

In total, Universal has 12 rereleases on its 2025 slate -- not including a partnership with another distribution company -- compared with just four in 2024 and two in 2023. "We very much pay a lot of attention to our repertory business," the studio's president of domestic theatrical distribution, Jim Orr, said by phone, explaining, "We just think it's not only great fun for audiences, but a great business to be in as well." Orr explained that the size of Universal's rerelease slate this year was "more coincidental" than anything else, with all the films hitting anniversaries in 2025. Still, there is a strong business motivation: The rereleases help studios and exhibitors pad out relatively thin slates. "The truth of the matter is studios don't have enough product right now to give theaters, so that's why you're seeing an influx of these nostalgia plays," said Jeff Bock, senior media analyst at Exhibitor Relations. He added, "It doesn't cost a lot for them to do an anniversary edition or a 4K edition." There are several other reasons why Hollywood is rereleasing old movies, according to Orr. Rereleases are far cheaper to put out than launching a brand-new title. Studios also target films that already have strong, enduring audiences, "whether that's 'Pride & Prejudice,' with its meme-able depiction of yearning, or 'Casper,'" which he said had elicited 'decent' interest every year.

Then there's what Orr calls "opportunistic dating." "There might be a window where something goes thematically or holiday-wise, whatever kind of fits in, or there might be some more screens available in specific formats," he said. Specialty format releases like IMAX, Dolby, or 3D also help bring moviegoers to the theaters.

An anonymous reader quotes a report from Ars Technica: As banks around the world prepare to replace many thousands of workers with AI, Australia's biggest bank is scrambling to rehire 45 workers after allegedly lying about chatbots besting staff by handling higher call volumes. In a statement Thursday flagged by Bloomberg, Australia's main financial services union, the Finance Sector Union (FSU), claimed a "massive win" for 45 union members whom the Commonwealth Bank of Australia (CBA) had replaced with an AI-powered "voice bot."

The FSU noted that some of these workers had been with CBA for decades. Those workers in particular were shocked when CBA announced last month that their jobs had become redundant. At that time, CBA claimed that launching the chatbot supposedly "led to a reduction in call volumes" by 2,000 a week, FSU said. But "this was an outright lie," fired workers told FSU. Instead, call volumes had been increasing at the time they were dismissed, with CBA supposedly "scrambling" -- offering staff overtime and redirecting management to join workers answering phones to keep up.

To uncover the truth, FSU escalated the dispute to a fair work tribunal, where the union accused CBA of failing to explain how workers' roles were ruled redundant. The union also alleged that CBA was hiring for similar roles in India, Bloomberg noted, which made it appear that CBA had perhaps used the chatbot to cover up a shady pivot to outsource jobs. While the dispute was being weighed, CBA admitted that "they didn't properly consider that an increase in calls" happening while staff was being fired "would continue over a number of months," FSU said. "This error meant the roles were not redundant," CBA confirmed at the tribunal. Now, CBA has apologized to the fired workers. A spokesperson told Bloomberg that they can choose to come back to their prior roles, seek another position, or leave the firm with an exit payment. "We have apologized to the employees concerned and acknowledge we should have been more thorough in our assessment of the roles required," CBA's spokesperson told Bloomberg.

The FSU said that "the damage has already been done." These employees "have had to endure the stress and worry of facing redundancy" and were "suddenly confronted with the prospect of being unable to pay their bills." FSU warned that CBA's flip-flopping on AI serves as a "stark reminder to all of us that we can never trust employers to do the right thing by workers, and change can happen at any time and impact any one of us."

alternative_right shares a report from ScienceAlert: In February 2023, a detector called KM3NeT, located deep under the Mediterranean Sea, picked up a signal that seemed to indicate a neutrino with a record-shattering energy of 220 petaelectronvolts (PeV). For reference, the previous record was a mere 10 PeV. Now, an exhaustive analysis of all the data on and around the event, designated KM3-230213A, not only supports the conclusions that the signal was caused by a 220-PeV neutrino, but adds to the mystery about where the heck in the Universe it came from."The patterns of light detected for KM3-230213A show a clear match to what is expected from a relativistic particle crossing the detector, most likely a muon, ruling out the possibility of a glitch," the KM3NeT Collaboration told ScienceAlert. "Thanks to the reconstructed energy and direction of this muon, the most likely scenario by far is that the muon originated in the interaction of an astrophysical neutrino in proximity to the detector, making it the most natural explanation."

The scientists believe that it's very, very unlikely that the neutrino originated within the Milky Way galaxy. Work is underway to come closer to tracing its origin point. "KM3-230213A opened a new window on ultra-high-energy neutrino astronomy," the Collaboration said. "Our analysis is the first effort to combine the observations of multiple telescopes over a wide energy range to characterize the ultra-high-energy spectrum. This represents our best chance to gain knowledge on the most extreme objects that populate our Universe."

The research has been published in the journal Physical Review X.

spatwei shares a report from SC Media: Just as it had at BSides Las Vegas earlier in the week, the risks of artificial intelligence dominated the Black Hat USA 2025 security conference on Aug. 6 and 7. We couldn't see all the AI-related talks, but we did catch three of the most promising ones, plus an off-site panel discussion about AI presented by 1Password. The upshot: Large language models and AI agents are far too easy to successfully attack, and many of the security lessons of the past 25 years have been forgotten in the current rush to develop, use and profit from AI.

We -- not just the cybersecurity industry, but any organization bringing AI into its processes -- need to understand the risks of AI and develop ways to mitigate them before we fall victim to the same sorts of vulnerabilities we faced when Bill Clinton was president. "AI agents are like a toddler. You have to follow them around and make sure they don't do dumb things," said Wendy Nather, senior research initiatives director at 1Password and a well-respected cybersecurity veteran. "We're also getting a whole new crop of people coming in and making the same dumb mistakes we made years ago." Her fellow panelist Joseph Carson, chief security evangelist and advisory CISO at Segura, had an appropriately retro analogy for the benefits of using AI. "It's like getting the mushroom in Super Mario Kart," he said. "It makes you go faster, but it doesn't make you a better driver." Many of the AI security flaws resemble early web-era SQL injection risks. "Why are all these old vulnerabilities surfacing again? Because the GenAI space is full of security bad practices," said Nathan Hamiel, senior director of research and lead prototyping engineer at Kudelski Security. "When you deploy these tools, you increase your attack surface. You're creating vulnerabilities where there weren't any."

"Generative AI is over-scoped. The same AI that answers questions about Shakespeare is helping you develop code. This over-generalization leads you to an increased attack surface." He added: "Don't treat AI agents as highly sophisticated, super-intelligent systems. Treat them like drunk robots."

An anonymous reader quotes a report from MIT Technology Review: Physicists have created a new type of radar that could help improve underground imaging, using a cloud of atoms in a glass cell to detect reflected radio waves. The radar is a type of quantum sensor, an emerging technology that uses the quantum-mechanical properties of objects as measurement devices. It's still a prototype, but its intended use is to image buried objects in situations such as constructing underground utilities, drilling wells for natural gas, and excavating archaeological sites. [...] The glass cell that serves as the radar's quantum component is full of cesium atoms kept at room temperature. The researchers use lasers to get each individual cesium atom to swell to nearly the size of a bacterium, about 10,000 times bigger than the usual size. Atoms in this bloated condition are called Rydberg atoms.

When incoming radio waves hit Rydberg atoms, they disturb the distribution of electrons around their nuclei. Researchers can detect the disturbance by shining lasers on the atoms, causing them to emit light; when the atoms are interacting with a radio wave, the color of their emitted light changes. Monitoring the color of this light thus makes it possible to use the atoms as a radio receiver. Rydberg atoms are sensitive to a wide range of radio frequencies without needing to change the physical setup... This means a single compact radar device could potentially work at the multiple frequency bands required for different applications.

[Matthew Simons, a physicist at the National Institute of Standards and Technology (NIST), who was a member of the research team] tested the radar by placing it in a specially designed room with foam spikes on the floor, ceiling, and walls like stalactites and stalagmites. The spikes absorb, rather than reflect, nearly all the radio waves that hit them. This simulates the effect of a large open space, allowing the group to test the radar's imaging capability without unwanted reflections off walls.The researchers placed a radio wave transmitter in the room, along with their Rydberg atom receiver, which was hooked up to an optical table outside the room. They aimed radio waves at a copper plate about the size of a sheet of paper, some pipes, and a steel rod in the room, each placed up to five meters away. The radar allowed them to locate the objects to within 4.7 centimeters. The team posted a paper on the research to the arXiv preprint server in late June.

Last month Microsoft pledged $4 billion (in cash and AI/cloud technology) to "advance" AI education in K-12 schools, community and technical colleges, and nonprofits (according to a blog post by Microsoft President Brad Smith). But in the launch event video, Smith also says it's time to "switch hats" from coding to AI, adding that "the last 12 years have been about the Hour of Code, but the future involves the Hour of AI."

Long-time Slashdot reader theodp writes: This sets the stage for Code.org CEO Hadi Partovi's announcement that his tech-backed nonprofit's [annual educational event] Hour of Code is being renamed to the Hour of AI... Explaining the pivot, Partovi says: "Computer science for the last 50 years has had a focal point around coding that's been — sort of like you learn computer science so that you create code. There's other things you learn, like data science and algorithms and cybersecurity, but the focal point has been coding.

"And we're now in a world where the focal point of computer science is shifting to AI... We all know that AI can write much of the code. You don't need to worry about where did the semicolons go, or did I close the parentheses or whatnot. The busy work of computer science is going to be done by the computer itself.

"The creativity, the thinking, the systems design, the engineering, the algorithm planning, the security concerns, privacy concerns, ethical concerns — those parts of computer science are going to be what remains with a focal point around AI. And what's going to be important is to make sure in education we give students the tools so they don't just become passive users of AI, but so that they learn how AI works."

Speaking to Microsoft's Smith, Partovi vows to redouble the nonprofit's policy work to "make this [AI literacy] a high school graduation requirement so that no student graduates school without at least a basic understanding of what's going to be part of the new liberal arts background [...] As you showed with your hat, we are renaming the Hour of Code to an Hour of AI."

After five months on the International Space Station, four astronauts splashed down in the Pacific Ocean in a SpaceX Crew Dragon capsule named Endurance, reports Space.com.

It was NASA's 10th commercial crew rotation mission: The flight launched atop a SpaceX Falcon 9 rocket on March 14 and arrived at the orbiting lab two days later. Crew-10's four astronauts soon set to conducting science work, which consumed much of their time over the ensuing months... The wheels for Crew-10's departure began turning last Saturday (Aug. 2), when SpaceX's four-person Crew-11 mission arrived at the International Space Station. The Crew-10 astronauts spent a few days advising their replacements, then set their minds to gearing up for the return to Earth — and reflecting on their orbital experience.

"We got to accomplish a lot of really amazing operational things," Ayers said during a farewell ceremony on Tuesday (Aug. 5). "We got to see some amazing views, and we have had some really big belly laughs and a wonderful time together," she added. "I think that [we're] leaving with a heart full of gratitude, and [we're] excited to see where the International Space Station goes after we get home." The hatches between Endurance and the ISS closed on Friday (Aug. 8) at 4:20 p.m. EDT (2020 GMT), and the capsule undocked about two hours later, at 6:15 p.m. EDT (2205 GMT). Endurance then began maneuvering its way back to Earth, setting up its splashdown today.

It was the first Pacific Ocean return for a SpaceX CCP mission; all previous such flights have come down off the Florida coast. SpaceX recently shifted to West Coast reentries for all of its Dragon missions, both crewed and uncrewed, to minimize the chance that falling space debris could damage property or injure people.
"During their mission, crew members traveled nearly 62,795,205 million miles," NASA announced, "and completed 2,368 orbits around Earth..." Along the way, Crew-10 contributed hundreds of hours to scientific research, maintenance activities, and technology demonstrations. McClain, Ayers, and Onishi completed investigations on plant and microalgae growth, examined how space radiation affects DNA sequences in plants, observed how microgravity changes human eye structure and cells in the body, and more. The research conducted aboard the orbiting laboratory advances scientific knowledge and demonstrates new technologies that enable us to prepare for human exploration of the Moon and Mars.

McClain and Ayers also completed a spacewalk on May 1, relocating a communications antenna, beginning the installation of a mounting bracket for a future International Space Station Roll-Out Solar Array, and other tasks.

alternative_right quotes a report from The Register: Space fans looking to camp out in style have a chance to pick up an Airstream trailer that once served as the Convoy Command Vehicle for NASA's Space Shuttle operations at Edwards Air Force Base -- if they have a couple hundred thousand to spare, that is. "This is the NASA 025 Command Vehicle," current owner Jonathan Kitzen says of the once-silver, now paint-daubed and otherwise unassuming Airstream trailer. "NASA 025 was designed to land crewed missions at Edwards Air Force Base. [Airstream] informed me that this was, in their, words, 'the only NASA Airstream ever sold,' and the others [001-024] were all crushed or in museums. The sister crew vehicle (a 28-ft with one rear axle) is sitting at Kennedy museum [the Kennedy Space Center Visitor Complex]. All the rest are gone, except for this one."

Kitzen picked up the vehicle in 2022 up after spotting it on a government surplus auction site, where it had been listed with few details and at a very low starting price. As for how the rare vehicle ended up for sale in the first place, Kitzen says he was told it was a mistake. "Apparently there was some miscommunication when the vehicle was decommissioned," he claims in the sale listing. "It should have been offered to museums but the sales team did not know what it was. They were told it was just a 'NASA vehicle,' they did not know it had any special status or history. To the sellers they thought it was just a van that could have been for moving laundry around the base. It was an accidental (yet valid) sale.

"When I pulled up to Vandenberg Air Force Base after getting my NASA contractor badge I was greeted by the senior asset manager," Kitzen continues. "'We didn't know what we were selling!' were the first words out of her mouth. 'We didn't advertise it or offer it up to museums, the phone has exploded. Nobody told us what it was!'" [...] The listing on vehicle sale site Hemmings.com has an asking price of $199,000, though with no offers yet submitted. A listing on eBay with a $50,000 minimum bid and $290,000 buy-it-now price ended in May with no takers.

alternative_right shares a report from Phys.org: Three nano-glass spheres cling to one another. They form a tower-like cluster, similar to when you pile three scoops of ice cream on top of one another -- only much smaller. The diameter of the nano cluster is ten times smaller than that of a human hair. With the help of an optical device and laser beams, researchers at ETH Zurich have succeeded in keeping such objects almost completely motionless in levitation. This is significant when it comes to the future development of quantum sensors, which, together with quantum computers, constitute the most promising applications of quantum research.

As part of their levitation experiment, the researchers, led by adjunct professor of photonics Martin Frimmer, were able to eliminate the gravitational force acting on the glass spheres. However, the elongated nano object still trembled, similar to how the needle on a compass moves when settling into position. In the case of the nano cluster, the trembling motion was very fast but weak: the object made around one million deflections per second, each measuring only a few thousandths of a degree. This tiny rotational oscillation is a fundamental quantum motion exhibited by all objects, which physicists call zero-point fluctuation.

To date, no one has been successful in detecting these tiny movements for an object of this size as precisely as the ETH researchers have now done. They achieved this because they were able to largely eliminate all motions that originate from the field of classical physics and obscure the observation of quantum movements. The ETH researchers attribute 92% of the cluster's movements in their experiment to quantum physics and 8% to classical physics; they therefore refer to a high level of quantum purity. And the records do not stop there: The researchers accomplished all of this at room temperature. Quantum researchers usually have to cool their objects to a temperature close to absolute zero (-273 degrees Celsius) using special equipment. This was not required here. The research has been published in the journal Nature Physics.

An anonymous reader shares a report: A researcher has scraped nearly 100,000 conversations from ChatGPT that users had set to share publicly and Google then indexed, creating a snapshot of all the sorts of things people are using OpenAI's chatbot for, and inadvertently exposing. 404 Media's testing has found the dataset includes everything from the sensitive to the benign: alleged texts of non-disclosure agreements, discussions of confidential contracts, people trying to use ChatGPT to understand their relationship issues, and lots of people asking ChatGPT to write LinkedIn posts.

The news follows a July 30 Fast Company article which reported "thousands" of shared ChatGPT chats were appearing in Google search results. People have since dug through some of the chats indexed by Google. The around 100,000 conversation dataset provides a better sense of the scale of the problem, and highlights some of the potential privacy risks in using any sharing features of AI tools. OpenAI did not dispute the figure of around 100,000 indexed chats when contacted for comment.

The vehicle "once led the Space Shuttle down the runway at Edwards Air Force Base," The Drive reported in 2022, noting it was won in an auction for $21,061 (beating 18 other bidders). "I just figured the NASA brand combined with Airsteam hip seemed like a can't lose combination," the buyer says now, in a listing for the vehicle on the on the automotive sales site Hemmings.com asking $199,000..

They're touting it as a priceless marketing/publicity prop — "a once in a lifetime opportunity" to own what was once an "onsite command center complete with communications and atmospheric monitoring... Imagine pulling into Burning Man driving this..." The seller points out it's the only custom-built "Airstream" trailer ever sold by NASA. (The others were crushed, except for one donated to the Kennedy museum.) But for this one "Apparently there was some miscommunication when the vehicle was decommissioned. It should have been offered to museums but the sales team did not know what it was.")

"Has only 8240 miles on it as driven from Ohio to California then around the Edwards base."

The seller apparently first tried listing it on eBay in May for $50,000. ("Reserve not met," says that listing page now. "Very well maintained, minor dings on exterior...")

Thanks to long-time Slashdot reader schwit1 for sharing the news.

Brian Krebs writes via KrebsOnSecurity: Fraudsters are flooding Discord and other social media platforms with ads for hundreds of polished online gaming and wagering websites that lure people with free credits and eventually abscond with any cryptocurrency funds deposited by players. Here's a closer look at the social engineering tactics and remarkable traits of this sprawling network of more than 1,200 scam sites. The scam begins with deceptive ads posted on social media that claim the wagering sites are working in partnership with popular social media personalities, such as Mr. Beast, who recently launched a gaming business called Beast Games. The ads invariably state that by using a supplied "promo code," interested players can claim a $2,500 credit on the advertised gaming website.

The gaming sites all require users to create a free account to claim their $2,500 credit, which they can use to play any number of extremely polished video games that ask users to bet on each action. At the scam website gamblerbeast[.]com, for example, visitors can pick from dozens of games like B-Ball Blitz, in which you play a basketball pro who is taking shots from the free throw line against a single opponent, and you bet on your ability to sink each shot. The financial part of this scam begins when users try to cash out any "winnings." At that point, the gaming site will reject the request and prompt the user to make a "verification deposit" of cryptocurrency -- typically around $100 -- before any money can be distributed. Those who deposit cryptocurrency funds are soon asked for additional payments. However, any "winnings" displayed by these gaming sites are a complete fantasy, and players who deposit cryptocurrency funds will never see that money again. Compounding the problem, victims likely will soon be peppered with come-ons from "recovery experts" who peddle dubious claims on social media networks about being able to retrieve funds lost to such scams. [...]

[T]hreat hunting platform Silent Push reveals at least 1,270 recently-registered and active domains whose names all invoke some type of gaming or wagering theme. Here is a list of all domains that Silent Push found were using the scambling network's chat API.

An anonymous reader quotes a report from Ars Technica: In a rare move, Google has confirmed it will sign the European Union's AI Code of Practice, a framework it initially opposed for being too harsh. However, Google isn't totally on board with Europe's efforts to rein in the AI explosion. The company's head of global affairs, Kent Walker, noted that the code could stifle innovation if it's not applied carefully, and that's something Google hopes to prevent. While Google was initially opposed to the Code of Practice, Walker says the input it has provided to the European Commission has been well-received, and the result is a legal framework it believes can provide Europe with access to "secure, first-rate AI tools." The company claims that the expansion of such tools on the continent could boost the economy by 8 percent (about 1.8 trillion euros) annually by 2034.

These supposed economic gains are being dangled like bait to entice business interests in the EU to align with Google on the Code of Practice. While the company is signing the agreement, it appears interested in influencing the way it is implemented. Walker says Google remains concerned that tightening copyright guidelines and forced disclosure of possible trade secrets could slow innovation. Having a seat at the table could make it easier to bend the needle of regulation than if it followed some of its competitors in eschewing voluntary compliance. [...] The AI Code of Practice aims to provide AI firms with a bit more certainty in the face of a shifting landscape. It was developed with the input of more than 1,000 citizen groups, academics, and industry experts. The EU Commission says companies that adopt the voluntary code will enjoy a lower bureaucratic burden, easing compliance with the block's AI Act, which came into force last year.

Under the terms of the code, Google will have to publish summaries of its model training data and disclose additional model features to regulators. The code also includes guidance on how firms should manage safety and security in compliance with the AI Act. Likewise, it includes paths to align a company's model development with EU copyright law as it pertains to AI, a sore spot for Google and others. Companies like Meta that don't sign the code will not escape regulation. All AI companies operating in Europe will have to abide by the AI Act, which includes the most detailed regulatory framework for generative AI systems in the world. The law bans high-risk uses of AI like intentional deception or manipulation of users, social scoring systems, and real-time biometric scanning in public spaces. Companies that violate the rules in the AI Act could be hit with fines as high as 35 million euros ($40.1 million) or up to 7 percent of the offender's global revenue.