An anonymous reader shared this report from the Washington Post: As cities and states push to restrict the use of facial recognition technologies, some police departments have quietly found a way to keep using the controversial tools: asking for help from other law enforcement agencies that still have access. Officers in Austin and San Francisco — two of the largest cities where police are banned from using the technology — have repeatedly asked police in neighboring towns to run photos of criminal suspects through their facial recognition programs, according to a Washington Post review of police documents...

Austin police officers received the results of at least 13 face searches from a neighboring police department since the city's 2020 ban — and appeared to get hits on some of them, according to documents obtained by The Post through public records requests and sources who shared them on the condition of anonymity. "That's him! Thank you very much," one Austin police officer wrote in response to an array of photos sent to him by an officer in Leander, Tex., who ran a facial recognition search, documents show. The man displayed in the pictures, John Curry Jr., was later charged with aggravated assault for allegedly charging toward someone with a knife, and is currently in jail awaiting trial. Curry's attorney declined to comment.
"Police officers' efforts to skirt these bans have not been previously reported and highlight the challenge of reining in police use of facial recognition," the article concludes.

It also points out that the technology "has played a role in the wrongful arrests of at least seven innocent Americans," according to the lawsuits they filed after charges against them were dismissed.

"$5,000 in cash had been withdrawn from my checking account — but not by me," writes journalist Linda Matchan in the Boston Globe. A police station manager reviewed footage from the bank — which was 200 miles away — and deduced that "someone had actually come into the bank and spoken to a teller, presented a driver's license, and then correctly answered some authentication questions to validate the account..." "You're pitting a teller against a national crime syndicate with massive resources behind them," says Paul Benda, executive vice president for risk, fraud, and cybersecurity at the American Bankers Association. "They're very well-funded, well-resourced criminal gangs doing this at an industrial scale."
The reporter writes that "For the past two years, I've worked to determine exactly who and what lay behind this crime..." [N]ow I had something new to worry about: Fraudsters apparently had a driver's license with my name on it... "Forget the fake IDs adolescents used to get into bars," says Georgia State's David Maimon, who is also head of fraud insights at SentiLink, a company that works with institutions across the United States to support and solve their fraud and risk issues. "Nowadays fraudsters are using sophisticated software and capable printers to create virtually impossible-to-detect fake IDs." They're able to create synthetic identities, combining legitimate personal information, such as a name and date of birth, with a nine-digit number that either looks like a Social Security number or is a real, stolen one. That ID can then be used to open financial accounts, apply for a bank or car loan, or for some other dodgy purpose that could devastate their victims' financial lives.



And there's a complex supply chain underpinning it all — "a whole industry on the dark web," says Eva Velasquez, president and CEO of the Identity Theft Resource Center, a nonprofit that helps victims undo the damage wrought by identity crime. It starts with the suppliers, Maimon told me — "the people who steal IDs, bring them into the market, and manufacture them. There's the producers who take the ID and fake driver's licenses and build the facade to make it look like they own the identity — trying to create credit reports for the synthetic identities, for example, or printing fake utility bills." Then there are the distributors who sell them in the dark corners of the web or the street or through text messaging apps, and finally the customers who use them and come from all walks of life. "We're seeing females and males and people with families and a lot of adolescents, because social media plays a very important role in introducing them to this world," says Maimon, whose team does surveillance of criminals' activities and interactions on the dark web. "In this ecosystem, folks disclose everything they do."
The reporter writes that "It's horrifying to discover, as I have recently, that someone has set up a tech company that might not even be real, listing my home as its principal address."

Two and a half months after the theft the stolen $5,000 was back in their bank account — but it wasn't until a year later that the thief was identified. "The security video had been shared with New York's Capital Region Crime Analysis Center, where analysts have access to facial recognition technology, and was run through a database of booking photos. A possible match resulted.... She was already in custody elsewhere in New York... Evidently, Deborah was being sought by law enforcement in at least three New York counties. [All three cases involved bank-related identity fraud.]"

Deborah was finally charged with two separate felonies: grand larceny in the third degree for stealing property over $3,000, and identity theft. But Deborah missed her next two court dates, and disappeared. "She never came back to court, and now there were warrants for her arrest out of two separate courts."

After speaking to police officials the reporter concludes "There was a good chance she was only doing the grunt work for someone else, maybe even a domestic or foreign-organized crime syndicate, and then suffering all the consequences."

The UK minister of state for security even says that "in some places people are literally captured and used as unwilling operators for fraudsters."

"China's navy has apparently tested out a hypersonic rail gun," reports Futurism, describing it as "basically a device that uses a series of electromagnets to accelerate a projectile to incredible speeds."

But "during a demonstration of its power, things didn't go quite as planned." As the South China Morning Post reports, the rail gun test lobbed a precision-guided projectile — or smart bomb — nine miles into the stratosphere. But because it apparently didn't go up as high as it was supposed to, the test was ultimately declared unsuccessful. This conclusion came after an analysis led by Naval Engineering University professor Lu Junyong, whose team found with the help of AI that even though the winged smart bomb exceeded Mach 5 speeds, it didn't perform as well as it could have. This occurred, as Lu's team found, because the projectile was spinning too fast during its ascent, resulting in an "undesirable tilt."
But what's more interesting is the project itself. "Successful or not, news of the test is a pretty big deal given that it was just a few months ago that reports emerged about China's other proposed super-powered rail gun, which is intended to send astronauts on a Boeing 737-size ship into space.... which for the record did not make it all the way to space..." Chinese officials, meanwhile, are paying lip service to the hypersonic rail gun technology's potential to revolutionize civilian travel by creating even faster railways and consumer space launches, too.
Japan and France also have railgun projects, according to a recent article from Defense One. "Yet the nation that has demonstrated the most continuing interest is China," with records of railgun work dating back as far as 2011: The Chinese team claimed that their railgun can fire a projectile 100 to 200 kilometers at Mach 6. Perhaps most importantly, it uses up to 100,000 AI-enabled sensors to identify and fix any problems before critical failure, and can slowly improve itself over time. This, they said, had enabled them to test-fire 120 rounds in a row without failure, which, if true, suggests that they solved a longstanding problem that reportedly bedeviled U.S. researchers. However, the team still has a ways to go before mounting an operational railgun on a ship; according to one Chinese article, the projectiles fired were only 25mm caliber, well below the size of even lightweight naval artillery.

As with many other Chinese defense technology programs, much remains opaque about the program...

While railguns tend to get the headlines, this lab has made advances in a wide range of electric and electromagnetic applications for the PLA Navy's warships. For example, the lab's research on electromagnetic launch technology has also been applied to the development of electromagnetic catapults for the PLAN's growing aircraft carrier fleet...

While it remains to be seen whether the Chinese navy can develop a full-scale railgun, produce it at scale, and integrate it onto its warships, it is obvious that it has made steady advances in recent years on a technology of immense military significance that the US has abandoned.
Thanks to long-time Slashdot reader Tangential for sharing the news.

"The computer scientist regarded as the 'godfather of artificial intelligence' says the government will have to establish a universal basic income to deal with the impact of AI on inequality," reports the BBC: Professor Geoffrey Hinton told BBC Newsnight that a benefits reform giving fixed amounts of cash to every citizen would be needed because he was "very worried about AI taking lots of mundane jobs".

"I was consulted by people in Downing Street and I advised them that universal basic income was a good idea," he said. He said while he felt AI would increase productivity and wealth, the money would go to the rich "and not the people whose jobs get lost and that's going to be very bad for society".
"Until last year he worked at Google, but left the tech giant so he could talk more freely about the dangers from unregulated AI," according to the article. Professor Hinton also made this predicction to the BBC. "My guess is in between five and 20 years from now there's a probability of half that we'll have to confront the problem of AI trying to take over".

He recommended a prohibition on the military use of AI, warning that currently "in terms of military uses I think there's going to be a race".

Long-time Slashdot reader SonicSpike shared this report from Ars Technica: The United States Marine Forces Special Operations Command (MARSOC) is currently evaluating a new generation of robotic "dogs" developed by Ghost Robotics, with the potential to be equipped with gun systems from defense tech company Onyx Industries, reports The War Zone.

While MARSOC is testing Ghost Robotics' quadrupedal unmanned ground vehicles (called "Q-UGVs" for short) for various applications, including reconnaissance and surveillance, it's the possibility of arming them with weapons for remote engagement that may draw the most attention. But it's not unprecedented: The US Marine Corps has also tested robotic dogs armed with rocket launchers in the past.

MARSOC is currently in possession of two armed Q-UGVs undergoing testing, as confirmed by Onyx Industries staff, and their gun systems are based on Onyx's SENTRY remote weapon system (RWS), which features an AI-enabled digital imaging system and can automatically detect and track people, drones, or vehicles, reporting potential targets to a remote human operator that could be located anywhere in the world. The system maintains a human-in-the-loop control for fire decisions, and it cannot decide to fire autonomously. On LinkedIn, Onyx Industries shared a video of a similar system in action.

In a statement to The War Zone, MARSOC states that weaponized payloads are just one of many use cases being evaluated. MARSOC also clarifies that comments made by Onyx Industries to The War Zone regarding the capabilities and deployment of these armed robot dogs "should not be construed as a capability or a singular interest in one of many use cases during an evaluation."

Starting this week millions will see AI-generated answers in Google's search results by default. But the announcement Tuesday at Google's annual developer conference suggests a future that's "not without its risks, both to users and to Google itself," argues the Washington Post: For years, Google has been shielded for liability for linking users to bad, harmful or illegal information by Section 230 of the Communications Decency Act. But legal experts say that shield probably won't apply when its AI answers search questions directly. "As we all know, generative AIs hallucinate," said James Grimmelmann, professor of digital and information law at Cornell Law School and Cornell Tech. "So when Google uses a generative AI to summarize what webpages say, and the AI gets it wrong, Google is now the source of the harmful information," rather than just the distributor of it...

Adam Thierer, senior fellow at the nonprofit free-market think tank R Street, worries that innovation could be throttled if Congress doesn't extend Section 230 to cover AI tools. "As AI is integrated into more consumer-facing products, the ambiguity about liability will haunt developers and investors," he predicted. "It is particularly problematic for small AI firms and open-source AI developers, who could be decimated as frivolous legal claims accumulate." But John Bergmayer, legal director for the digital rights nonprofit Public Knowledge, said there are real concerns that AI answers could spell doom for many of the publishers and creators that rely on search traffic to survive — and which AI, in turn, relies on for credible information. From that standpoint, he said, a liability regime that incentivizes search engines to continue sending users to third-party websites might be "a really good outcome."

Meanwhile, some lawmakers are looking to ditch Section 230 altogether. [Last] Sunday, the top Democrat and Republican on the House Energy and Commerce Committee released a draft of a bill that would sunset the statute within 18 months, giving Congress time to craft a new liability framework in its place. In a Wall Street Journal op-ed, Reps. Cathy McMorris Rodgers (R-Wash.) and Frank Pallone Jr. (D-N.J.) argued that the law, which helped pave the way for social media and the modern internet, has "outlived its usefulness."

The tech industry trade group NetChoice [which includes Google, Meta, X, and Amazon] fired back on Monday that scrapping Section 230 would "decimate small tech" and "discourage free speech online."
The digital law professor points out Google has traditionally escaped legal liability by attributing its answers to specific sources — but it's not just Google that has to worry about the issue. The article notes that Microsoft's Bing search engine also supplies AI-generated answers (from Microsoft's Copilot). "And Meta recently replaced the search bar in Facebook, Instagram and WhatsApp with its own AI chatbot."

The article also note sthat several U.S. Congressional committees are considering "a bevy" of AI bills...

"Albert Einstein was right," reports CNN. "There is an area at the edge of black holes where matter can no longer stay in orbit and instead falls in, as predicted by his theory of gravity."

The proof came by combining NASA's earth-orbiting NuSTAR telescope with the NICER telescope on the International Space Station to detect X-rays: A team of astronomers has for the first time observed this area — called the "plunging region" — in a black hole about 10,000 light-years from Earth. "We've been ignoring this region, because we didn't have the data," said research scientist Andrew Mummery, lead author of the study published Thursday in the journal Monthly Notices of the Royal Astronomical Society. "But now that we do, we couldn't explain it any other way."
Mummery — also a Fellow in Oxford's physics department — told CNN, "We went out searching for this one specifically — that was always the plan. We've argued about whether we'd ever be able to find it for a really long time. People said it would be impossible, so confirming it's there is really exciting."

Mummery described the plunging region as "like the edge of a waterfall." Unlike the event horizon, which is closer to the center of the black hole and doesn't let anything escape, including light and radiation, in the "plunging region" light can still escape, but matter is doomed by the powerful gravitational pull, Mummery explained. The study's findings could help astronomers better understand the formation and evolution of black holes. "We can really learn about them by studying this region, because it's right at the edge, so it gives us the most information," Mummery said...

According to Christopher Reynolds, a professor of astronomy at the University of Maryland, College Park, finding actual evidence for the "plunging region" is an important step that will let scientists significantly refine models for how matter behaves around a black hole. "For example, it can be used to measure the rotation rate of the black hole," said Reynolds, who was not involved in the study.

An anonymous reader quotes a report from The New York Times: There's a big debate in the tech world over whether artificial intelligence models should be "open source." Elon Musk, who helped found OpenAI in 2015, sued the startup and its chief executive, Sam Altman, on claims that the company had diverged from its mission of openness. The Biden administration is investigating the risks and benefits of open source models. Proponents of open source A.I. models say they're more equitable and safer for society, while detractors say they are more likely to be abused for malicious intent. One big hiccup in the debate? There's no agreed-upon definition of what open source A.I. actually means. And some are accusing A.I. companies of "openwashing" -- using the "open source" term disingenuously to make themselves look good. (Accusations of openwashing have previously been aimed at coding projects that used the open source label too loosely.)

In a blog post on Open Future, a European think tank supporting open sourcing, Alek Tarkowski wrote, "As the rules get written, one challenge is building sufficient guardrails against corporations' attempts at 'openwashing.'" Last month the Linux Foundation, a nonprofit that supports open-source software projects, cautioned that "this 'openwashing' trend threatens to undermine the very premise of openness -- the free sharing of knowledge to enable inspection, replication and collective advancement." Organizations that apply the label to their models may be taking very different approaches to openness. [...]

The main reason is that while open source software allows anyone to replicate or modify it, building an A.I. model requires much more than code. Only a handful of companies can fund the computing power and data curation required. That's why some experts say labeling any A.I. as "open source" is at best misleading and at worst a marketing tool. "Even maximally open A.I. systems do not allow open access to the resources necessary to 'democratize' access to A.I., or enable full scrutiny," said David Gray Widder, a postdoctoral fellow at Cornell Tech who has studied use of the "open source" label by A.I. companies.

Karl Bode writes via Techdirt: Tired of being underserved and overbilled by shitty regional broadband monopolies, back in 2002 a coalition of local Utah governments formed UTOPIA -- (the Utah Telecommunication Open Infrastructure Agency). The inter-local agency collaborative venture then set about building an "open access" fiber network that allows any ISP to then come and compete on the shared network. Two decades later and the coalition just announced that 18 different ISPs now compete for Utah resident attention over a network that now covers 21 different Utah cities. In many instances, ISPs on the network are offering symmetrical (uncapped) gigabit fiber for as little as $45 a month (plus $30 network connection fee, so $75). Some ISPs are even offering symmetrical 10 Gbps fiber for around $150 a month: "Sumo Fiber, a veteran member of the UTOPIA Open Access Marketplace, is now offering 10 Gbps symmetrical for $119, plus a $30 UTOPIA Fiber infrastructure fee, bringing the total cost to $149 per month."

It's a collaborative hybrid that blurs the line between private companies and government, and it works. And the prices being offered here are significantly less than locals often pay in highly developed tech-centric urban hubs like New York, San Francisco, or Seattle. Yet giant local ISPs like Comcast and Qwest spent decades trying to either sue this network into oblivion, or using their proxy policy orgs (like the "Utah Taxpayer Association") to falsely claim this effort would end in chaos and inevitable taxpayer tears. Yet miraculously UTOPIA is profitable, and for the last 15 years, every UTOPIA project has been paid for completely through subscriber revenues. [...] For years, real world experience and several different studies and reports (including our Copia study on this concept) have made it clear that open access networks and policies result in faster, better, more affordable broadband access. UTOPIA is proving it at scale, but numerous other municipalities have been following suit with the help of COVID relief and infrastructure bill funding.

An anonymous reader quotes a report from The Guardian, written by Caroline Haskins: On May 7th and 8th in Washington, D.C., the city's biggest convention hall welcomed America's military-industrial complex, its top technology companies and its most outspoken justifiers of war crimes. Of course, that's not how they would describe it. It was the inaugural "AI Expo for National Competitiveness," hosted by the Special Competitive Studies Project -- better known as the "techno-economic" thinktank created by the former Google CEO and current billionaire Eric Schmidt. The conference's lead sponsor was Palantir, a software company co-founded by Peter Thiel that's best known for inspiring 2019 protests against its work with Immigration and Customs Enforcement (Ice) at the height of Trump's family separation policy. Currently, Palantir is supplying some of its AI products to the Israel Defense Forces.

The conference hall was also filled with booths representing the U.S. military and dozens of its contractors, ranging from Booz Allen Hamilton to a random company that was described to me as Uber for airplane software. At industry conferences like these, powerful people tend to be more unfiltered – they assume they're in a safe space, among friends and peers. I was curious, what would they say about the AI-powered violence in Gaza, or what they think is the future of war?

Attendees were told the conference highlight would be a series of panels in a large room toward the back of the hall. In reality, that room hosted just one of note. Featuring Schmidt and the Palantir CEO, Alex Karp, the fire-breathing panel would set the tone for the rest of the conference. More specifically, it divided attendees into two groups: those who see war as a matter of money and strategy, and those who see it as a matter of death. The vast majority of people there fell into group one. I've written about relationships between tech companies and the military before, so I shouldn't have been surprised by anything I saw or heard at this conference. But when it ended, and I departed DC for home, it felt like my life force had been completely sucked out of my body. Some of the noteworthy quotes from the panel and convention, as highlighted in Haskins' reporting, include:

"It's always great when the CIA helps you out," Schmidt joked when CIA deputy director David Cohen lent him his microphone when his didn't work.

The U.S. has to "scare our adversaries to death" in war, said Karp. On university graduates protesting Israel's war in Gaza, Karp described their views as a "pagan religion infecting our universities" and "an infection inside of our society."

"The peace activists are war activists," Karp insisted. "We are the peace activists."

A huge aspect of war in a democracy, Karp went on to argue, is leaders successfully selling that war domestically. "If we lose the intellectual debate, you will not be able to deploy any armies in the west ever," Karp said.

A man in nuclear weapons research jokingly referred to himself as "the new Oppenheimer."

Emilia David reports via The Verge: OpenAI has signed a deal for access to real-time content from Reddit's data API, which means it can surface discussions from the site within ChatGPT and other new products. It's an agreement similar to the one Reddit signed with Google earlier this year that was reportedly worth $60 million. The deal will also "enable Reddit to bring new AI-powered features to Redditors and mods" and use OpenAI's large language models to build applications. OpenAI has also signed up to become an advertising partner on Reddit.

No financial terms were revealed in the blog post announcing the arrangement, and neither company mentioned training data, either. That last detail is different from the deal with Google, where Reddit explicitly stated it would give Google "more efficient ways to train models." There is, however, a disclosure mentioning that OpenAI CEO Sam Altman is also a shareholder in Reddit but that "This partnership was led by OpenAI's COO and approved by its independent Board of Directors." "Reddit has become one of the internet's largest open archives of authentic, relevant, and always up-to-date human conversations about anything and everything. Including it in ChatGPT upholds our belief in a connected internet, helps people find more of what they're looking for, and helps new audiences find community on Reddit," Reddit CEO Steve Huffman says.

Reddit stock has jumped on news of the deal, rising 13% on Friday to $63.64. As Reuters notes, it's "within striking distance of the record closing price of $65.11 hit in late-March, putting the company on track to add $1.2 billion to its market capitalization."

necro81 writes: Robert Dennard was working at IBM in the 1960s when he invented a way to store one bit using a single transistor and capacitor. The technology became dynamic random access memory (DRAM), which when implemented using the emerging technology of silicon integrated circuits, helped catapult computing by leaps and bounds. The first commercial DRAM chips in the late 1960s held just 1024 bits; today's DDR5 modules hold hundreds of billions.

Dr. Robert H. Dennard passed away last month at age 91. (alternate link)

In the 1970s he helped guide technology roadmaps for the ever-shrinking feature size of lithography, enabling the early years of Moore's Law. He wrote a seminal paper in 1974 relating feature size and power consumption that is now referred to as Dennard Scaling. His technological contributions earned him numerous awards, and accolades from the National Academy of Engineering, IEEE, and the National Inventor's Hall of Fame.

Microsoft plans a major shakeup of its videogame sales strategy by releasing the coming installment of Call of Duty to its subscription service instead of the longtime, lucrative approach of only selling it a la carte. WSJ: The plans, which mark the biggest change to Microsoft's gaming division since it closed the $75 billion takeover of Activision Blizzard, are expected to be announced at the company's annual Xbox showcase next month, according to people familiar with the matter. Call of Duty is one of the most successful entertainment properties ever, generating over $30 billion in lifetime revenue. Activision, which makes it, has long released new editions annually, selling about 25 million copies on average, selling for around $70 each in recent years.

Before the Microsoft deal last year, Activision was reluctant to fully embrace subscription-based models for a game that still attracts a premium price. Microsoft's subscription service, Game Pass, costs $9.99 to $16.99 a month, and provides access to hundreds of games from Microsoft and dozens of other companies.

Data center construction levels are at an all-time high. And more than ever, companies that need them have already called dibs. From a report: In the first quarter of 2024, what amounts to about half of the existing supply of data center megawattage in the US is under construction, according to real estate services firm CBRE. And 84% of that is already leased. Typically that rate had been about 50% the last few years -- already notably higher than other real estate classes. "I'm astonished and impressed by the demand for facilities yet to be fully constructed," CBRE Data Center Research Director Gordon Dolven told Sherwood.

That advanced interest means that despite the huge amount of construction, there's still going to be a shortage of data centers to meet demand. In other words, data center vacancy rates are staying low and rents high. Nationwide the vacancy rates are near record lows of 3.7% and average asking rent for data centers was up 19% year over year, according to CBRE. It was up 42% in Northern Virginia, where many data centers are located. These sorts of price jumps are "unprecedented" compared with other types of real estate. For comparison, rents for industrial and logistics real estate, another hot asset class used in e-commerce, is expected to go up 8% this year.

Michael Larabel reports via Phoronix: Following Germany's Sovereign Tech Fund providing significant funding for GNOME, Rust Coreutils, PHP, a systemd bug bounty, and numerous other free software projects, the FFmpeg multimedia library is the latest beneficiary to this funding from the Germany government. The Sovereign Tech Fund notes that the FFmpeg project is receiving 157,580 euros for 2024 and 2025.

An announcement on the FFmpeg.org project site notes: "The FFmpeg community is excited to announce that Germany's Sovereign Tech Fund has become its first governmental sponsor. Their support will help sustain the [maintenance] of the FFmpeg project, a critical open-source software multimedia component essential to bringing audio and video to billions around the world everyday."