It's the tale of a company manufacuring precision card-shuffling machines for casinos — and a gang of hustlers who used a hidden video camera to film the shuffler's insides. "The images, transmitted to an accomplice outside in the casino parking lot, were played back in slow motion to figure out the sequence of cards in the deck," remembers the BBC, "which was then communicated back to the gamblers inside. The casino lost millions of dollars before the gang were finally caught."

So the company turned for help to a mathematician/magician: The executives were determined not to be hacked again. They had developed a prototype of a sophisticated new shuffling machine, this time enclosed in an opaque box. Their engineers assured them that the machine would sufficiently randomise a deck of cards with one pass through the device, reducing the time between hands while also beating card-counters and crooked dealers. But they needed to be sure that their machine properly shuffled the deck. They needed Persi Diaconis.

Diaconis, a magician-turned-mathematician at Stanford University, is regarded as the world's foremost expert on the mathematics of card shuffling. Throughout the surprisingly large scholarly literature on the topic, his name keeps popping up like the ace of spades in a magician's sleight-of-hand trick. So, when the company executives contacted him and offered to let him see the inner workings of their machine — a literal "black box" — he couldn't believe his luck. With his collaborator Susan Holmes, a statistician at Stanford, Diaconis travelled to the company's Las Vegas showroom to examine a prototype of their new machine.

The pair soon discovered a flaw. Although the mechanical shuffling action appeared random, the mathematicians noticed that the resulting deck still had rising and falling sequences, which meant that they could make predictions about the card order. To prove this to the company executives, Diaconis and Holmes devised a simple technique for guessing which card would be turned over next. If the first card flipped was the five of hearts, say, they guessed that the next card was the six of hearts, on the assumption that the sequence was rising. If the next card was actually lower — a four of hearts, for instance — this meant they were in a falling sequence, and their next guess was the three of hearts. With this simple strategy, the mathematicians were able to correctly guess nine or 10 cards per deck — one-fifth of the total — enough to double or triple the advantage of a competent card-counter....

The executives were horrified. "We are not pleased with your conclusions," they wrote to Diaconis, "but we believe them and that's what we hired you for." The company quietly shelved the prototype and switched to a different machine.
The article also explains why seven shuffles "is just as close to random as can be" — rendering further shuffling largely ineffective.

"It might be a while before you can buy a 'Roomba for laundry'," jokes Slashdot reader Tony Isaac, pointing out that "while robots have been developed that can fold specific types of laundry, there's still not a good robot that can do the job quickly, or for all types."

But NPR reports laundry-folding robots are getting closer: As NPR has reported, machines need clear rules in order to function, and it's hard for them to figure out what exactly is going on in those messy piles That's not to say that it's completely impossible. University of California, Berkeley professor Pieter Abbeel spent years teaching a robot how to fold a towel, eventually cutting that process down from 20 minutes to a whopping minute and a half.

And Silicon Valley-based company FoldiMate raised hopes and eyebrows when it showed off a prototype of its eponymous laundry-folding robot at the Consumer Electronics Show in early 2019. It said the machine could fold some 25 pieces of laundry — except for small items like socks and large items like sheets — in under five minutes, with an estimated price tag of $980. It's unclear what happened to that company — its website is down and it hasn't tweeted since April 2020. Its sole competitor, a Japanese company with an AI-powered prototype, filed for bankruptcy.

In sum, most robots have not generally been equipped for the task. But an international group of researchers say their new method could change that — or at least speed up the process. Researchers are calling the new method, SpeedFolding. It's a "reliable and efficient bimanual system" — meaning it involves two hands — that's able to smooth and fold a crumpled garment in record speed (for robots, that is). SpeedFolding can fold 30 to 40 strewn-about garments per hour, compared to previous models that averaged three to six garments in that same time span, according to researchers. They say their robot can fold items in under two minutes, with a success rate of 93%.

"Real-world experiments show that the system is able to generalize to unseen garments of different color, shape, and stiffness," they add.
According to the article, the team will be presenting their paper at a robotics conference in Kyoto this month, and they've also posted a one-minute video on YouTube. (Their solution involves both an overhead camera and a novel neural network called BiManual Manipulation Network that "studied 4,300 human and machine-assisted actions in order to learn how to smooth and fold garments from a random configuration."

"While researchers describe SpeedFolding as a significant improvement, it's not likely to hit the market anytime soon," notes NPR. "For one, Ars Technica tracked down a robot similar to the one they used and found that it retails for $58,000."

An anonymous reader quotes a report from Bloomberg: As the US escalates its campaign to undermine the Chinese semiconductor industry, Europe is trying -- with some success -- to avoid becoming collateral damage. At the center of the maneuvering is ASML, the Dutch manufacturer of chipmaking equipment and Europe's most valuable tech company. It's one of the very few producers of the sophisticated lithography machines needed to make midgrade semiconductors, and the only manufacturer of the equipment needed to make the most cutting-edge chips. That puts ASML in the spotlight for policymakers. ASML has never sold its extreme ultraviolet lithography machines, or EUVs, to Chinese clients. The Biden administration, as part of its attempt to keep China from developing the capability to make advanced semiconductors, has been trying to push the Dutch government to withhold ASML's older machines called immersion deep ultraviolet lithography machines, or DUVs, that can be used in combination with other technology to make advanced chips.

The European Commission, as well as the Dutch and German governments, have undertaken a coordinated lobbying campaign to oppose restrictions on a critical European company while US competitors continue to do business with Chinese companies, according to officials who spoke under the condition of anonymity because the talks are sensitive. They've argued in part that such restrictions are now pointless given that ASML, which generated 15% of its revenue in China last year, has already sold many of these machines to Chinese companies. When the US did push ahead in early October with more severe restrictions against doing business in China, its specific policies came as a relief to ASML and its political supporters. ASML wasn't hit directly by the new restrictions, which did make it harder for its US peers, such as Applied Materials and Lam Research, to sell advanced chip gear to China. Both companies warned investors that the new restrictions would significantly affect their financial performance.

The US Department of Commerce, which is responsible for the majority of rulemaking and enforcement, won't comment directly on specific companies or its negotiations with other governments. ASML is not an American company, limiting the US's power over its operations. But it commonly uses parts from the US, which gives Washington a degree of leverage. In the past, export controls have applied to products when at least 25% of their components are sourced from the US. But senior US officials now say products that contain any US components or intellectual property could be subjected to Washington's export approval process. Such a broad interpretation of the rules would be difficult for a company like ASML to work around. "Europeans feared the new US policy would include provisions affecting immersion DUVs," adds Bloomberg. According to SML's chief executive officer, Peter Wennink, the company's initial assessment is that the new restrictions don't apply to ASML's products shipped out of the Netherlands. Roger Dassen, the chief financial officer, also said the direct impact is fairly limited, thanks to "the fact that we are a European company with limited US technology in it." However, Bloomberg notes ASML's shares "dropped as much as 19% in the days after the Oct. 7 announcement, although they partially recovered after it posted strong earnings."

"The US runs the risk of setting off a confrontation with Europe if it chooses to go ahead with new restrictions on immersion DUV machines," concludes the report. "It's unclear what chance officials have to convince their Dutch counterparts to impose additional restrictions on DUV sales, but there's little doubt the two allies aren't yet on the same page. China is the Netherlands's third-biggest trading partner after Germany and Belgium."

Longtime Slashdot reader lazyeye writes: The 53rd release of OpenBSD, version 7.2, has officially been released. Support for new platforms such as the Ampere Altra, Apple M2 chip, and support for Lenovo ThinkPad x13s and other machines using the Qualcomm Snapdragon 8cx Gen 3 (SC8280XP) SoC are now included, along with various kernel improvements. The announcement with all the details are available at the link [here] from the openbsd-announce mailing list.

An anonymous reader quotes a report from Ars Technica: Today, tech archivist Jason Scott announced a new website called Discmaster that lets anyone search through 91.7 million vintage computer files pulled from CD-ROM releases and floppy disks. The files include images, text documents, music, games, shareware, videos, and much more. The files on Discmaster come from the Internet Archive, uploaded by thousands of people over the years. The new site pulls them together behind a search engine with the ability to perform detailed searches by file type, format, source, file size, file date, and many other options.

Discmaster is the work of a group of anonymous history-loving programmers who approached Scott to host it for them. Scott says that Discmaster is "99.999 percent" the work of that anonymous group, right down to the vintage gray theme that is compatible with web browsers for older machines. Scott says he slapped a name on it and volunteered to host it on his site. And while Scott is an employee of the Internet Archive, he says that Discmaster is "100 percent unaffiliated" with that organization.

One of the highlights of Discmaster is that it has already done a lot of file format conversion on the back end, making the vintage files more accessible. For example, you can search for vintage music files -- such as MIDI or even digitized Amiga sounds -- and listen to them directly in your browser without any extra tools necessary. The same thing goes for early-90s low-resolution video files, images in obscure formats, and various types of documents. "It's got all the conversion to enable you to preview things immediately," says Scott. "So there's no additional external installation. That, to me, is the fundamental power of what we're dealing with here." "The value proposition is the value proposition of any freely accessible research database," Scott told Ars Technica. "People are enabled to do deep dives into more history, reference their findings, and encourage others to look in the same place."

"[Discmaster] is probably, to me, one of the most important computer history research project opportunities that we've had in 10 years," says Scott. "It's not done. They've analyzed 7,000 and some-odd CD-ROMs. And they're about to do another 8,000."

An anonymous reader quotes a report from Motherboard: The Synthetic Party, a new Danish political party with an artificially intelligent representative and policies derived from AI, is eyeing a seat in parliament as it hopes to run in the country's November general election. The party was founded in May by the artist collective Computer Lars and the non-profit art and tech organization MindFuture Foundation. The Synthetic Party's public face and figurehead is the AI chatbot Leader Lars, which is programmed on the policies of Danish fringe parties since 1970 and is meant to represent the values of the 20 percent of Danes who do not vote in the election. Leader Lars won't be on the ballot anywhere, but the human members of The Synthetic Party are committed to carrying out their AI-derived platform.

Leader Lars is an AI chatbot that people can speak with on Discord. You can address Leader Lars by beginning your sentences with an "!". The AI understands English but writes back to you in Danish. Some of the policies that The Synthetic Party is proposing include establishing a universal basic income of 100,000 Danish kroner per month, which is equivalent to $13,700, and is over double the Danish average salary. Another proposed policy change is to create a jointly-owned internet and IT sector in the government that is on par with other public institutions.

The Synthetic Party's mission is also dedicated to raising more awareness about the role of AI in our lives and how governments can hold AI accountable to biases and other societal influences. The party hopes to add an 18th Sustainable Development Goal (SDG) to the United Nations SDGs, which are goals relating to issues such as poverty, inequality, and climate change, to be achieved by all nations by 2030. The Synthetic Party's proposed SDG is called Life With Artificials and focuses on the relationship between humans and AI and how to adapt and educate people to work with machines. [...] So far, The Synthetic Party has only 11 signatures out of the 20,000 that would make it eligible to run in this November's election. If the party were to be in the parliament, [...] it would be the AI powering policies and its agenda, and humans acting as the interpreter of the program. "Leader Lars is the figurehead of the party. Denmark is a representative democracy, so would have humans on the ballot that are representing Leader Lars and who are committed to acting as a medium for the AI," said Asker Staunaes, the creator of the party and an artist-researcher at MindFuture.

"People who are voting for The Synthetic Party will have to believe what we are selling ourselves as, people who actually engage so much with artificial intelligence that we can interpret something valuable from them," Staunaes said. "We are in conversations with people from around the world, Colombia, France, and Moldova, about creating other local versions of The Synthetic Party, so that we could have some form of Synthetic International."

Nearly four years after its last major release, VirtualBox 7.0 arrives with a... host of new features. Chief among them are Windows 11 support via TPM, EFI Secure Boot support, full encryption for virtual machines, and a few Linux niceties. From a report: The big news is support for Secure Boot and TPM 1.2 and 2.0, which makes it easier to install Windows 11 without registry hacks (the kind Oracle recommended for 6.1 users). It's strange to think about people unable to satisfy Windows 11's security requirements on their physical hardware, but doing so with a couple clicks in VirtualBox, but here we are. VirtualBox 7.0 also allows virtual machines to run with full encryption, not just inside the guest OSâ"but logs, saved states, and other files connected to the VM. At the moment, this support only works through the command line, "for now," Oracle notes in the changelog.

This is the first official VirtualBox release with a Developer Preview for ARM-based Macs. Having loaded it on an M2 MacBook Air, I can report that the VirtualBox client informs you, extensively and consistently, about the non-production nature of your client. The changelog notes that it's an "unsupported work in progress" that is "known to have very modest performance." A "Beta Warning" shows up in the (new and unified) message center, and in the upper-right corner, a "BETA" warning on the window frame is stacked on top of a construction-style "Dev Preview" warning sign. It's still true that ARM-based Macs don't allow for running operating systems written for Intel or AMD-based processors inside virtual machines. You will, however, be able to run ARM-based Linux installations in macOS Venture that can themselves run x86 processors using Rosetta, Apple's own translation layer.

tedlistens shares a report from Fast Company: Two corners of Brooklyn's historic Navy Yard will be connected by a small test bed for quantum networking, a first step toward a future "quantum internet" that promises to transform computing and make communications untappable. The effort, by a startup company called Qunnect, will join dozens of experiments around the U.S., Europe, and China, but would be the first commercial quantum network in the country, and the first to use only small, room-temperature devices. Such tools could make it easier to link quantum computers across the planet, opening the door to more practical uses of the technology in research, defense, finance, and other yet-to-be-determined applications.

"We can have these networks go all the way from here, coast to coast, and eventually global," says Dr. Noel Goddard, the CEO of Qunnect. In addition to testing a protocol for sharing quantum information across conventional fiber-optic lines, the 12-person startup will use the network to test a group of quantum networking hardware that can fit into the server racks of existing telecom buildings. Its flagship product, spun out of research at SUNY Stony Brook, is a type of device thought to be crucial to establishing the "magic" of quantum entanglement across a fiber line, called a quantum memory. The machines use rubidium vapor to briefly store photons' quantum information, with all of its weird uncertainty, so that the information can be repeated across a long-distance fiber network without disturbing it along the way. But unlike many quantum machines -- often sprawling tabletop contraptions that rely on cryogenic cooling, vacuums, and other delicate equipment -- Qunnect's memory machine operates at room temperature and fits inside a box the size of a large desk drawer.

Qunnect's sold just three of its memory machines so far, to Brookhaven National Lab and Stony Brook University, at a reported price of around $100,000 apiece. But a number of government and defense labs, along with big telecom and tech companies, from Amazon to Verizon, are paying close attention. The device has already received millions in backing from the Department of Energy and other federal and state agencies. And last week, Qunnect announced its largest endorsement yet: $8 million in funding, in a series A round led by Airbus Ventures and including The New York Ventures Fund, Impact Science Ventures, Motus Ventures, and SandboxAQ, a post-quantum security company Google spun off earlier this year. The new money will help build the test bed, which Qunnect plans to start operating by the middle of next year, when it will open it up to researchers and customers in government, finance, and telecom. These experiments will help the company learn more about a variety of proposals for building quantum networks, and, it hopes, position it as a device supplier for the whole quantum internet.

Despite warnings that AI will rob humans of jobs, "Somehow we sacks of meat — though prone to exhaustion, distraction, injury and sometimes spectacular error — remain in high demand," writes New York Times columnist Farhad Majoo. AI has yet to replace humans in supposedly at-risk professions like truck driving and fast-food services.

Majoo's conclusion? "Humans have been underestimated." It turns out that we (well, many of us) are really amazing at what we do, and for the foreseeable future we are likely to prove indispensable across a range of industries, especially column-writing. Computers, meanwhile, have been overestimated. Though machines can look indomitable in demonstrations, in the real world A.I. has turned out to be a poorer replacement for humans than its boosters have prophesied.

What's more, the entire project of pitting A.I. against people is beginning to look pretty silly, because the likeliest outcome is what has pretty much always happened when humans acquire new technologies — the technology augments our capabilities rather than replaces us. Is "this time different," as many Cassandras took to warning over the past few years? It's looking like not. Decades from now I suspect we'll have seen that artificial intelligence and people are like peanut butter and jelly: better together.

It was a recent paper by Michael Handel, a sociologist at the Bureau of Labor Statistics, that helped me clarify the picture. Handel has been studying the relationship between technology and jobs for decades, and he's been skeptical of the claim that technology is advancing faster than human workers can adapt to the changes. In the recent analysis, he examined long-term employment trends across more than two dozen job categories that technologists have warned were particularly vulnerable to automation. Among these were financial advisers, translators, lawyers, doctors, fast-food workers, retail workers, truck drivers, journalists and, poetically, computer programmers.

His upshot: Humans are pretty handily winning the job market. Job categories that a few years ago were said to be doomed by A.I. are doing just fine. The data show "little support" for "the idea of a general acceleration of job loss or a structural break with trends pre-dating the A.I. revolution," Handel writes.
Handel notes that despite AI's high performance in analyzing X-rays, the number of (human) radiologists keeps increasing, with worries that the supply of (human) radiologists may not keep up with demand.

One Stanford radiologist recently argued that instead, "The right answer is: Radiologists who use A.I. will replace radiologists who don't."

"Starting with the Ubuntu 16.04 edition and including the later LTS versions, Canonical will offer expanded security coverage for critical, high, and medium Common Vulnerabilities and Exposures (CVEs) to all of Ubuntu's open-source applications and toolchains for ten years," reports ZDNet.

"Yes, you read that right, you get security patches not just for the operating system, but for all of Ubuntu's open-source applications for a decade." Most of these are server programs, such as Ansible, Apache Tomcat, Drupal, Nagios, Redis, and WordPress. But, it also includes such developer essentials as Docker, Node.js, phpMyAdmin, Python 2, and Rust. Altogether, Canonical is supporting more than 23,000 packages. Indeed, it's now offering security for, as Mark Shuttleworth, Canonical's CEO, said, "Security coverage to every single package in the Ubuntu distribution."

Canonical isn't doing this on its own. It's offering free, improved security in partnership with the security management company Tenable. Robert Huber, Tenable's Chief Security Officer, said, "Ubuntu Pro offers security patch assurance for a broad spectrum of open-source software. Together, we give customers a foundation for trustworthy open source."

Beyond ordinary security, Canonical is backporting security fixes from newer application versions. This enables Ubuntu Pro users to use the Ubuntu release of their choice for long-term security without forced upgrades. Happy to keep using Ubuntu 20.04? No problem. You can run it until April 2030. Knock yourself out....

Users can obtain a free personal Ubuntu Pro subscription at ubuntu.com/pro for up to five machines. This free tier is for personal and small-scale commercial use.
Mark Shuttleworth, CEO of Ubuntu's parent company company Canonical, explains in a new video that Ubuntu "is now the world's most widely used Linux..."

"What makes most proud, though, is that we have found a way to make this available free of charge to anybody for their personal and for small-scale commercial use.... full commercial use for you, and any business you own, on up to five machines."

Canon is about to begin constructing a new $345 million plant to build the equipment used in a crucial part of semiconductor manufacturing called lithography. PetaPixel reports: Lithography is the first step in building chips for everything from microwave ovens to defense systems. The machines involved in this process require incredibly precise steps and equally precise accuracy. It is part of what most people think of when they envision the large white clean rooms in processor manufacturing. According to Nikkei Asia, which covers the industry and economics of Japan, Canon is expected to invest more than $354 million in this new plant in the Tochigi prefecture, a sum covering the facility's construction and the equipment to produce these lithographic machines.

The company currently operates two other plants in Japan, mainly for the production of chips for the automotive industry, and anticipates that this new facility will double the production capacity. According to Nikkei Asia, sales of semiconductor lithography equipment are "expected to rise 29%, year on year, in 2022 to 180 units, a fourfold increase versus ten years ago." Currently, Canon produces 30% of the world's lithography equipment, which is about half of the closest competitor, ASML. Intel and Taiwan Semiconductor have said they will expand their operations as well.

Nikkei Asia also notes that Canon will "develop next-generation technology called nanoimprint lithography" due to the high cost and high energy consumption of current equipment, and nanoimprint lithography will handle "finer line widths," which means more capacity and reduced processing time per chip. Canon is reported to expect 40% lower costs for the new process, as well as a reduction in power consumption by 90%. The new plant is expected to come online in 2025 and will be built adjacent to an existing plant. Canon has not created a new lithography plant in 21 years.

Emily Mullin writes via Wired: The human genome is made of more than 6 billion letters, and each person has a unique configuration of As, Cs, Gs, and Ts -- the molecular building blocks that make up DNA. Determining the sequence of all those letters used to take vast amounts of money, time, and effort. The Human Genome Project took 13 years and thousands of researchers. The final cost: $2.7 billion. That 1990 project kicked off the age of genomics, helping scientists unravel genetic drivers of cancer and many inherited diseases while spurring the development of at-home DNA tests, among other advances. Next, researchers started sequencing more genomes: from animals, plants, bacteria, and viruses. Ten years ago, it cost about $10,000 for researchers to sequence a human genome. A few years ago, that fell to $1,000. Today, it's about $600.

Now, sequencing is about to get even cheaper. At an industry event in San Diego today, genomics behemoth Illumina unveiled what it calls its fastest, most cost-efficient sequencing machines yet, the NovaSeq X series. The company, which controls around 80 percent of the DNA sequencing market globally, believes its new technology will slash the cost to just $200 per human genome while providing a readout at twice the speed. Francis deSouza, Illumina's CEO, says the more powerful model will be able to sequence 20,000 genomes per year; its current machines can do about 7,500. Illumina will start selling the new machines today and ship them next year.

Illumina's sequencers use a method called "sequencing by synthesis" to decipher DNA. This process first requires that DNA strands, which are usually in double-helix form, be split into single strands. The DNA is then broken into short fragments that are spread onto a flow cell -- a glass surface about the size of a smartphone. When a flow cell is loaded into the sequencer, the machine attaches color-coded fluorescent tags to each base: A, C, G, and T. For instance, blue might correspond to the letter A. Each of the DNA fragments gets copied one base at a time, and a matching strand of DNA is gradually made, or synthesized. A laser scans the bases one by one while a camera records the color coding for each letter. The process is repeated until every fragment is sequenced. For its latest machines, Illumina invented denser flow cells to increase data yield and new chemical reagents, which enable faster reads of bases. "The molecules in that sequencing chemistry are much stronger. They can resist heat, they can resist water, and because they're so much tougher, we can subject them to more laser power and can scan them faster. That's the heart of the engine that allows us to get so much more data faster and at lower costs," says Alex Aravanis, Illumina's chief technology officer. Illumina's new system comes at a steep cost of around $1 million, which makes them more difficult for smaller labs and hospitals to acquire. They also often require experts to run the machines and process the data.

That said, "Illumina's sequencers are completely automated and produce a report comparing each sample against a reference genome," reports Wired. "Aravanis says this automation could democratize sequencing, so that facilities without large teams of scientists and engineers can run the machines with few resources."

Already the world's biggest gambling nation in terms of loss per person, Australia has seen a shift in betting behavior since the pandemic-forced closure of public venues. From a report: Gamblers' losses on poker machines shrank for the first time during the pandemic, but at a rate far slower than an unprecedented increase in money lost on apps, data showed. That means more players are being exposed to an industry that is harder to regulate than traditional gambling. Australia's gambling industry has been in the spotlight in recent years, with public inquiries lashing its biggest casino operators due to lapses in money laundering protections. Online gambling has also been the focus of inquiries, but with its increasing prevalence, the government has answered consumer advocates with a pledge to take a deeper look.

App providers are mostly foreign such as London-listed Flutter Entertainment -- owner of the most popular betting app in Australia, Sportsbet -- and Entain, owner of third-ranked app Ladbrokes. Unlike venues, they benefit from marketing methods such as text message-based promotions falling outside the scope of gambling advertising restrictions. Gamblers' loss on poker machines was A$11.4 billion ($7.3 billion USD) in 2021, shrinking A$1.1 billion or 17% from 2019, the year before lockdowns began, showed data from Monash University's School of Public Health & Preventive Medicine. But gamblers' loss in online sports betting swelled A$3.2 billion or 80% to A$7.1 billion in the same period, showed figures supplied by industry consultancy H2 Gambling Capital, which excluded credit often rewarded in promotions.

"First they came for factory jobs. Then they showed up in service industries. Now, machines are making inroads into the kind of white-collar office work once thought to be the exclusive preserve of humans," write Alexandre Tanzi and Reade Pickert via Bloomberg. An anonymous reader shares an excerpt from the report: It's not just corporate giants, capable of spending millions of dollars to develop their own technologies, that are getting in on the act. One feature of the new automation wave is that companies like Kizen have popped up to make it affordable even for smaller firms. Based in Austin, Texas, Kizen markets an automated assistant called Zoe, which can perform tasks for sales teams like carrying out initial research and qualifying leads. Launched a year ago, it's already sold more than 400,000 licenses. "Our smallest customer pays us $10 a month and our largest customer pays us $9.5 million a year,'' says John Winner, Kizen's chief executive officer. There are plenty of other ambitious companies cashing in on the trend, and posting steep increases in revenue -- like UiPath Inc., a favorite of star investment manager Cathie Wood, as well as Appian Corp. and EngageSmart Inc. Alongside the growth of AI and what economists call "robotic process automation" -- essentially, when software performs certain tasks previously done by humans -- old-school automation is still going strong too.

The number of robots sold in North America hit a new record in the first quarter of 2022, according to the Association for Advancing Automation. The World Economic Forum predicts that by 2025, machines will be working as many hours as humans. What all of this innovation means for the world's workers is one of the key open questions in economics. The upbeat view says it's tasks that get automated, not entire jobs -- and if the mundane ones can be handled by computers or robots, that should free up employees for more challenging and satisfying work. The downside risk: occupations from sales reps to administrative support, could begin to disappear -- without leaving obvious alternatives for the people who earned a living from them. That adds another employment threat for white-collar workers who may already be vulnerable right now to an economic downturn, largely because so many got hired in the boom of the past couple of years.

KC Harvey Environmental, a consultancy based in Bozeman, Montana that works with businesses and governments on environmental issues, is one of Kizen's clients. It uses the software to automate document control -- for example, archiving and delivering new contracts to the right places and people. "A new project probably took our accounting group and project management team a day," says Rio Franzman, KC Harvey's chief operating officer. "This now probably streamlines it down to about an hour." The firm employs about 100 people and "we didn't lose any'' as a result of automation, he says. "What it did allow is for the reallocation of time and resources to more meaningful tasks." KC Harvey is now working with Kizen to bring AI into its marketing, too, with a partly automated newsletter among other projects. Some of the biggest firms at the forefront of automation also say they've been able to do it without cutting jobs.

Engineering giant Siemens AG says it's automated all kinds of production and back-office tasks at its innovative plant in Amberg, Germany, where it makes industrial computers, while keeping staffing steady at around 1,350 employees over several decades. The firm has developed a technology known as "digital twinning," which builds virtual versions of everything from specific products to administrative processes. Managers can then run simulations and stress-tests to see how things can be made better. "We're not going to automate people out of the process," says Barbara Humpton, CEO of Siemens USA. "By optimizing automation systems, and by using digital tools and AI, workers have increased productivity at Amberg by more than 1,000%." [...] Whatever the outcome, it's unlikely to allay the deep unease that the idea of automation triggers among workers who feel their jobs are vulnerable. With the rise of AI, that group increasingly includes white-collar employees.

For decades, security researchers warned about techniques for hijacking virtualization software. Now one group has put them into practice. From a report: For decades, virtualization software has offered a way to vastly multiply computers' efficiency, hosting entire collections of computers as "virtual machines" on just one physical machine. And for almost as long, security researchers have warned about the potential dark side of that technology: theoretical "hyperjacking" and "Blue Pill" attacks, where hackers hijack virtualization to spy on and manipulate virtual machines, with potentially no way for a targeted computer to detect the intrusion. That insidious spying has finally jumped from research papers to reality with warnings that one mysterious team of hackers has carried out a spree of "hyperjacking" attacks in the wild.

Today, Google-owned security firm Mandiant and virtualization firm VMware jointly published warnings that a sophisticated hacker group has been installing backdoors in VMware's virtualization software on multiple targets' networks as part of an apparent espionage campaign. By planting their own code in victims' so-called hypervisors --VMware software that runs on a physical computer to manage all the virtual machines it hosts -- the hackers were able to invisibly watch and run commands on the computers those hypervisors oversee. And because the malicious code targets the hypervisor on the physical machine rather than the victim's virtual machines, the hackers' trick multiplies their access and evades nearly all traditional security measures designed to monitor those target machines for signs of foul play.

"The idea that you can compromise one machine and from there have the ability to control virtual machines en masse is huge," says Mandiant consultant Alex Marvi. And even closely watching the processes of a target virtual machine, he says, an observer would in many cases see only "side effects" of the intrusion, given that the malware carrying out that spying had infected a part of the system entirely outside its operating system. Mandiant discovered the hackers earlier this year and brought their techniques to VMware's attention. Researchers say they've seen the group carry out their virtualization hacking -- a technique historically dubbed hyperjacking in a reference to "hypervisor hijacking" -- in fewer than 10 victims' networks across North America and Asia. Mandiant notes that the hackers, which haven't been identified as any known group, appear to be tied to China.

An anonymous reader quotes a report from Science Magazine: In 2020, Ranga Dias, a physicist at the University of Rochester, and his colleagues published a sensational result in Nature, featured on its cover. They claimed to have discovered a room-temperature superconductor: a material in which electric current flows frictionlessly without any need for special cooling systems. Although it was just a speck of carbon, sulfur, and hydrogen forged under extreme pressures, the hope was that someday the material would lead to variants that would enable lossless electricity grids and inexpensive magnets for MRI machines, maglev railways, atom smashers, and fusion reactors. Faith in the result is now evaporating. On Monday Nature retracted the study, citing data issues other scientists have raised over the past 2 years that have undermined confidence in one of two key signs of superconductivity Dias's team had claimed. "There have been a lot of questions about this result for a while," says James Hamlin, an experimental condensed matter physicist at the University of Florida. But Jorge Hirsch, a theoretical physicist at the University of California, San Diego (UCSD), and longtime critic of the study, says the retraction does not go far enough. He believes it glosses over what he says is evidence of scientific misconduct. "I think this is a real problem," he says. "You cannot leave it as, 'Oh, it's a difference of opinion.'"

The retraction was unusual in that Nature editors took the step over the objection of all nine authors of the paper. "We stand by our work, and it's been verified experimentally and theoretically," Dias says. Ashkan Salamat, a physicist at the University of Nevada, Las Vegas, and another senior member of the collaboration, points out the retraction does not question the drop in electric resistance -- the most important part of any superconductivity claim. He adds, "We're confused and disappointed in the decision-making by the Nature editorial board." The retraction comes even as excitement builds for the class of superconducting materials called hydrides, which includes the carbonaceous sulfur hydride (CSH) developed by Dias's team. Under pressures greater than at the center of the Earth, hydrogen is thought to behave like a superconducting metal. Adding other elements to the hydrogen -- creating a hydride structure -- can increase the "chemical pressure," reducing the need for external pressure and making superconductivity reachable in small laboratory vises called diamond anvil cells. As Lilia Boeri, a theoretical physicist at the Sapienza University of Rome, puts it, "These hydrides are a sort of realization of metallic hydrogen at slightly lower pressure."

In 2015, Mikhail Eremets, an experimental physicist at the Max Planck Institute for Chemistry, and colleagues reported the first superconducting hydride: a mix of hydrogen and sulfur that, under enormous pressures, exhibited a sharp drop in electrical resistance at a critical temperature (Tc) of 203 K (-70C). That was nowhere near room temperature, but warmer than the Tc for most superconducting materials. Some theorists thought adding a third element to the mix would give researchers a new variable to play with, enabling them to get closer to ambient pressures -- or room temperatures. For the 2020 Nature paper, Dias and colleagues added carbon, crushed the mix in a diamond anvil cell, and heated it with a laser to create a new substance. They reported that tests showed a sharp drop in resistance at a Tc of 288 K (15C) -- roughly room temperature -- and a pressure of 267 gigapascals, about 75% of the pressure at the center of the Earth. But in a field that has seen many superconducting claims come and go, a drop in resistance alone is not considered sufficient. The gold standard is to provide evidence of another key attribute of superconductors: their ability to expel an applied magnetic field when they cross Tc and become superconducting. Measuring that effect in a diamond anvil cell is impractical, so experimentalists working with hydrides often measure a related quantity called "magnetic susceptibility." Even then they must contend with tiny wires and samples, immense pressures, and a background magnetic signal from metallic gaskets and other experimental components. "It's like you're trying to see a star when the Sun is out," Hamlin says. "The study's magnetic susceptibility data were what led to the retraction," reports Science. "The team members reported that a susceptibility signal emerged after they had subtracted a background signal, but they did not include raw data. The omission frustrated critics, who also complained that the team relied on a 'user-defined' background -- an assumed background rather than a measured one. But Salamat says relying on a user-defined background is customary in high-pressure physics because the background is so hard to measure experimentally."

Dias and Salamat posted a paper to arXiv in 2021 containing the raw susceptibility data and purported to explain how the background was subtracted, but it "raised more questions than it answered," says Brad Ramshaw, a quantum materials physicist at Cornell University. "The process of going from the raw data to the published data was incredibly opaque."

Hirsch accused the data of being "fabricated," noting suspicious similarities to data in a 2009 paper on superconductivity in europium under high pressures. It too was later retracted.

New submitter cj9er writes: Considering all the privacy issues in today's online climate (all the issues with Meta right now), what is the best high-end smartphone to select?

Apple: No way they don't sell your data... Sure, they have privacy for third-party apps, but what about the data they collect from the phone itself? Consider what the revenue is on a single smartphone (say $150), how do you think they have all that cash on hand?

Google: Yeah right, Pixel is probably collecting [data] 24/7 considering their main business is selling ads on Search. They have developed the Pixel line because they probably realized they were missing out on the direct collection of data from their own hardware (cut out the middle players using Android).

Samsung: Their TVs even collect and sell data on you. I don't really understand the price premium on Galaxy phones anyways.

I have kept my data and Wi-Fi turned off on my phones for years. Initially it was for battery reasons but now add in data collection. Ultimately, if we could turn off the GPS feature at will on our phones, maybe we could prevent all tracking (except for cellular triangulation). If we then think about safety, GPS is great and now with satellite-tracking on Apple phones, even better. But then what is going on behind the scenes 99.99% of the rest of the time when you don't require those options for safety reasons?

What phone manufacturer can be trusted?

"Chess engines have redefined creativity in chess," argues the Atlantic, "leading to a situation where the game's top players can no longer get away with simply playing the strongest chess they can, but must also engage in subterfuge, misdirection, and other psychological techniques."

The article's title? "Chess is just poker now." And it starts by noting one inconvenient truth about still-unresolved allegations that Hans Niemann cheated to defeat world chess champion Magnus Carlsen: Whatever really happened here, everyone agrees that for Niemann, or anyone else, to cheat at chess in 2022 would be conceptually simple. In the past 15 years, widely available AI software packages, known as "chess engines," have been developed to the point where they can easily demolish the world's best chess players — so all a cheater has to do to win is figure out a way to channel a machine's advice....

What once seemed magical became calculable; where one could rely on intuition came to require rigorous memorization and training with a machine. Chess, once poetic and philosophical, was acquiring elements of a spelling bee: a battle of preparation, a measure of hours invested. "The thrill used to be about using your mind creatively and working out unique and difficult solutions to strategical problems," the grandmaster Wesley So, the fifth-ranked player in the world, told me via email. "Not testing each other to see who has the better memorization plan...."

The advent of neural-net engines thrills many chess players and coaches... Carlsen said he was "inspired" the first time he saw AlphaZero play. Engines have made it easier for amateurs to improve, while unlocking new dimensions of the game for experts. In this view, chess engines have not eliminated creativity but instead redefined what it means to be creative.

Yet if computers set the gold standard of play, and top players can only try to mimic them, then it's not clear what, exactly, humans are creating. "Due to the predominance of engine use today," the grandmaster So explained, "we are being encouraged to halt all creative thought and play like mechanical bots. It's so boring. So beneath us." And if elite players stand no chance against machines, instead settling for outsmarting their human opponents by playing subtle, unexpected, or suboptimal moves that weaponize "human frailty," then modern-era chess looks more and more like a game of psychological warfare: not so much a spelling bee as a round of poker.

"An encounter with the superhuman is at hand," argues Canadian novelist, essayist, and cultural commentator Stephen Marche in an article in the Atlantic titled "Of Gods and Machines". He argues that GPT-3's 175 billion parameters give it interpretive power "far beyond human understanding, far beyond what our little animal brains can comprehend. Machine learning has capacities that are real, but which transcend human understanding: the definition of magic."

But despite being a technology where inscrutability "is an industrial by-product of the process," we may still not see what's coming, Marche argue — that AI is "every bit as important and transformative as the other great tech disruptions, but more obscure, tucked largely out of view." Science fiction, and our own imagination, add to the confusion. We just can't help thinking of AI in terms of the technologies depicted in Ex Machina, Her, or Blade Runner — people-machines that remain pure fantasy. Then there's the distortion of Silicon Valley hype, the general fake-it-'til-you-make-it atmosphere that gave the world WeWork and Theranos: People who want to sound cutting-edge end up calling any automated process "artificial intelligence." And at the bottom of all of this bewilderment sits the mystery inherent to the technology itself, its direct thrust at the unfathomable. The most advanced NLP programs operate at a level that not even the engineers constructing them fully understand.

But the confusion surrounding the miracles of AI doesn't mean that the miracles aren't happening. It just means that they won't look how anybody has imagined them. Arthur C. Clarke famously said that "technology sufficiently advanced is indistinguishable from magic." Magic is coming, and it's coming for all of us....

And if AI harnesses the power promised by quantum computing, everything I'm describing here would be the first dulcet breezes of a hurricane. Ersatz humans are going to be one of the least interesting aspects of the new technology. This is not an inhuman intelligence but an inhuman capacity for digital intelligence. An artificial general intelligence will probably look more like a whole series of exponentially improving tools than a single thing. It will be a whole series of increasingly powerful and semi-invisible assistants, a whole series of increasingly powerful and semi-invisible surveillance states, a whole series of increasingly powerful and semi-invisible weapons systems. The world would change; we shouldn't expect it to change in any kind of way that you would recognize.

Our AI future will be weird and sublime and perhaps we won't even notice it happening to us. The paragraph above was composed by GPT-3. I wrote up to "And if AI harnesses the power promised by quantum computing"; machines did the rest.

Stephen Hawking once said that "the development of full artificial intelligence could spell the end of the human race." Experts in AI, even the men and women building it, commonly describe the technology as an existential threat. But we are shockingly bad at predicting the long-term effects of technology. (Remember when everybody believed that the internet was going to improve the quality of information in the world?) So perhaps, in the case of artificial intelligence, fear is as misplaced as that earlier optimism was.

AI is not the beginning of the world, nor the end. It's a continuation. The imagination tends to be utopian or dystopian, but the future is human — an extension of what we already are.... Artificial intelligence is returning us, through the most advanced technology, to somewhere primitive, original: an encounter with the permanent incompleteness of consciousness.... They will do things we never thought possible, and sooner than we think. They will give answers that we ourselves could never have provided.

But they will also reveal that our understanding, no matter how great, is always and forever negligible. Our role is not to answer but to question, and to let our questioning run headlong, reckless, into the inarticulate.

Intel is replacing its Pentium and Celeron brands with just Intel Processor. The new branding will replace both existing brands in 2023 notebooks and supposedly make things easier when consumers are looking to purchase budget laptops. From a report: Intel will now focus on its Core, Evo, and vPro brands for its flagship products and use Intel Processor in what it calls "essential" products. "Intel is committed to driving innovation to benefit users, and our entry-level processor families have been crucial for raising the PC standard across all price points," explains Josh Newman, VP and interim general manager of mobile client platforms at Intel. "The new Intel Processor branding will simplify our offerings so users can focus on choosing the right processor for their needs."

The end of the Pentium brand comes after nearly 30 years of use. Originally introduced in 1993, flagship Pentium chips were first introduced in high-end desktop machines before making the move to laptops. Intel has largely been using its Core branding for its flagship line of processors ever since its introduction in 2006, and Intel repurposed the Pentium branding for midrange processors instead. Celeron was Intel's brand name for low-cost PCs. Launched around five years after Pentium, Celeron chips have always offered a lot less performance at a lot less cost for laptop makers and, ultimately, consumers. The first Celeron chip in 1998 was based on a Pentium II processor, and the latest Celeron processors are largely used in Chromebooks and low-cost laptops.