United States Marines outsmarted artificially intelligent (AI) security cameras by hiding in a cardboard box and standing behind trees. From a report: Former Pentagon policy analyst Paul Scharre has recalled the story in his upcoming book Four Battlegrounds: Power in the Age of Artificial Intelligence. In the book, Scharre recounts how the U.S. Army was testing AI monitoring systems and decided to use the Marines to help build the algorithms that the security cameras would use. They then attempted to put the AI system to the test and see if the squad of Marines could find new ways to avoid detection and evade the cameras.

To train the AI, the security cameras, which were developed by Defense Advanced Research Projects Agency's (DARPA) Squad X program, required data in the form of a squad of Marines spending six days walking around in front of them. After six days spent training the algorithm, the Marines decided to put the AI security cameras to the test. "If any Marines could get all the way in and touch this robot without being detected, they would win. I wanted to see, game on, what would happen," DARPA deputy director Phil Root tells Scharre in the book. Within a single day, the Marines had worked out the best way to sneak around an AI monitoring system and avoid detection by the cameras. Root says: "Eight Marines -- not a single one got detected." According to Scharre's book, a pair of marines "somersaulted for 300 meters" to approach the sensor and "never got detected" by the camera.

schwit1 shares a report from NPR: A British man who planned to have a "robot lawyer" help a defendant fight a traffic ticket has dropped the effort after receiving threats of possible prosecution and jail time. [...] The first-ever AI-powered legal defense was set to take place in California on Feb. 22, but not anymore. As word got out, an uneasy buzz began to swirl among various state bar officials, according to Browder. He says angry letters began to pour in. "Multiple state bar associations have threatened us," Browder said. "One even said a referral to the district attorney's office and prosecution and prison time would be possible." In particular, Browder said one state bar official noted that the unauthorized practice of law is a misdemeanor in some states punishable up to six months in county jail.

"Even if it wouldn't happen, the threat of criminal charges was enough to give it up," [said Joshua Browden, the CEO of the New York-based startup DoNotPay]. "The letters have become so frequent that we thought it was just a distraction and that we should move on." State bar associations license and regulate attorneys, as a way to ensure people hire lawyers who understand the law. Browder refused to cite which state bar associations in particular sent letters, and what official made the threat of possible prosecution, saying his startup, DoNotPay, is under investigation by multiple state bar associations, including California's. "The truth is, most people can't afford lawyers," he said. "This could've shifted the balance and allowed people to use tools like ChatGPT in the courtroom that maybe could've helped them win cases."

"I think calling the tool a 'robot lawyer' really riled a lot of lawyers up," Browder said. "But I think they're missing the forest for the trees. Technology is advancing and courtroom rules are very outdated."

An anonymous reader quotes a report from Motherboard, written by Katie Way: MILF Manor is a reality TV show made to be dissected on the internet. Everything, from its ripped-from-30-Rock title to the Oedipal set-up of mothers and their sons thrown into the same "dating pool," is so patently outrageous that it boomerangs back into normalcy -- of course these mothers need to participate in a blindfolded contest to identify their sons by their abs alone. But MILF Manor's most understated quirk is the one that sticks out to me: There's no tanned, vaguely handsome man with veneers and a dress shirt directing the festivities. Instead, contestants receive alerts and directions via text, on iPhones in magenta cases that seem to be provided by the producers. Like more and more reality TV competition shows, there's no actual host.

By my estimation, Netflix's The Circle kicked the trend off in 2020. Its contestants, who compete to create the most lovable social media presence in physical isolation, receive prompts and challenges from a big-screen TV in their living quarters. Pressure Cooker, a more recent offering from the streaming giant, is a cooking competition show where the host is replaced by a kitchen ticket printer: Competitions receive challenge instructions and the results of game-ending votes in the same way chefs take orders from their diners. The Button, a YouTube speed dating series by the production company Cut, goes a step further with the introduction of a large talking button that cracks jokes and prompts daters to ask each other cringe-worthy questions until one of them presses it, ending the date and sending in another option.

Why axe the role of host when it's been a staple of the formula for so long? It could be a sign of the recession. Reality TV competition shows are famously among the cheapest television to produce, but if I've learned anything about business, it's that executives have never met a corner they're not dying to cut. It could also be that the role of reality TV host is not attracting the same iconic cultural figures it once was, when the subgenre exploded in popularity in the early 2000s. [...] At the core, though, I believe there's something more insidious at play: Robots are once again stealing jobs from red-blooded human workers. Only this time, instead of factory linemen or fast food cashiers, these laborers are C-List comedians and guys who are incredibly symmetrical but not quite hot. (Again, Jeff Probst, I am not talking about you!) Sure, I know machine intelligence doesn't experience emotion -- yet! -- and I know that all of these robo-hosts are likely operated by producers -- for now! But isn't toying with people in a high-stress, high-stakes situation, the exact job description of a reality competition host, the absolute dream gig for a robot? Seems a little too perfect. "Experts already predict that AI and machine learning could replace people working as couriers, investment analysts, and customer service representatives," concludes Way. "Adding reality competition show hosts to that list means the creep into our cultural landscape has already started, which is a distinctly scary thought, in my book. Our flesh is weak, our MILFs are fragile, and we are so, so vulnerable to the clinical calculations of our machine overlords -- uh, I mean, hosts."

Someone on Reddit used the Midjourney AI image generator to create "a selection of 28 fantastically alluring case designs" for the Mini ITX PC, reports Tom's Hardware: Our sample gallery of the AI-generated Mini ITX PCs embedded above features quite a few designs that are rather rotund. This isn't a bias of the AI; instead, Hybective admits he has a fondness for Wheatley (the AI robot from the Portal franchise) and has wanted a spherical PC ever since casting eyes on the Games Sphere (a GameCube parody) in teen sitcom Drake & Josh....

For his shared Mini ITX PC case images, the Redditor says he commonly used 'spherical' as one of the inputs into Midjourney. More specifically, at least some of the images were generated with the prompt "Sphere ITX PC build hyper realistic," or similar.

A newly published study co-authored by MIT economist Daron Acemoglu "quantifies the extent to which automation has contributed to income inequality in the U.S.," reports SciTechDaily, "simply by replacing workers with technology — whether self-checkout machines, call-center systems, assembly-line technology, or other devices." Over the last four decades, the income gap between more- and less-educated workers has grown significantly; the study finds that automation accounts for more than half of that increase. "This single one variable ... explains 50 to 70 percent of the changes or variation between group inequality from 1980 to about 2016," Acemoglu says....

Acemoglu and Pascual Restrepo, an assistant professor of economics at Boston University, used U.S. Bureau of Economic Analysis statistics on the extent to which human labor was used in 49 industries from 1987 to 2016, as well as data on machinery and software adopted in that time. The scholars also used data they had previously compiled about the adoption of robots in the U.S. from 1993 to 2014. In previous studies, Acemoglu and Restrepo have found that robots have by themselves replaced a substantial number of workers in the U.S., helped some firms dominate their industries, and contributed to inequality.
At the same time, the scholars used U.S. Census Bureau metrics, including its American Community Survey data, to track worker outcomes during this time for roughly 500 demographic subgroups... By examining the links between changes in business practices alongside changes in labor market outcomes, the study can estimate what impact automation has had on workers.

Ultimately, Acemoglu and Restrepo conclude that the effects have been profound. Since 1980, for instance, they estimate that automation has reduced the wages of men without a high school degree by 8.8 percent and women without a high school degree by 2.3 percent, adjusted for inflation.
Thanks to long-time Slashdot reader schwit1 for sharing the article.

The Los Angeles Times explores an interesting exercise in prognisticating about the future. In 2018 robotics entrepreneur Rodney Brooks made a list of predictions about hot tech topics like robots, space travel, and AI, "and promised to review them every year until Jan. 1, 2050, when, if he's still alive, he will have just turned 95." His goal was to "inject some reality into what I saw as irrational exuberance." Each prediction carried a time frame — something would either have occurred by a given date, or no earlier than a given date, or "not in my lifetime." Brooks published his fifth annual scorecard on New Year's Day. The majority of his predictions have been spot-on, though this time around he confessed to thinking that he, too, had allowed hype to make him too optimistic about some developments....

People have been "trained by Moore's Law" to expect technologies to continue improving at ever-faster rates, Brooks told me.... That tempts people, even experts, to underestimate how difficult it may be to reach a chosen goal, whether self-aware robots or living on Mars. "They don't understand how hard it might have been to get there," he told me, "so they assume that it will keep getting better and better...."

This year, 14 of his original predictions are deemed accurate, whether because they happened within the time frame he projected or failed to happen before the deadline he set. Among them are driverless package delivery services in a major U.S. city, which he predicted wouldn't happen before 2023; it hasn't happened yet. On space travel and space tourism, he predicted a suborbital launch of humans by a private company would happen by 2018; Virgin Atlantic beat the deadline with such a flight on Dec. 13, 2018. He conjectured that space flights with a few handfuls of paying customers wouldn't happen before 2020; regular flights at a rate of more than once a week not before 2022 (though perhaps by 2026); and the transport of two paying customers around the moon no earlier than 2020.

All those deadlines have passed, making the predictions accurate. Only three flights with paying customers happened in 2022, showing there's "a long way to go to get to sub-weekly flights," Brooks observes.
"My current belief is that things will go, overall, even slower than I thought five years ago," Brooks writes. "That is not to say that there has not been great progress in all three fields, but it has not been as overwhelmingly inevitable as the tech zeitgeist thought on January 1st, 2018." (For example, Brooks writes that self-driving taxis are "decades away from profitability".)

And this year he's also graced us with new predictions responding to current hype:

• "The metaverse ain't going anywhere, despite the tens of billions of dollars poured in. If anything like the metaverse succeeds it will from a new small player, a small team, that is not yoked down by an existing behemoth."

• " Crypto, as in all the currencies out there now, are going to fade away and lose their remaining value. Crypto may rise again but it needs a new set of algorithms and capability for scaling. The most likely path is that existing national currencies will morph into crypto currency as contactless payment become common in more and more countries. It may lead to one of the existing national currencies becoming much more accessible world wide.

• "No car company is going to produce a humanoid robot that will change manufacturing at all. Dexterity is a long way off, and innovations in manufacturing will take very different functional and process forms, perhaps hardly seeming at all like a robot from popular imagination."

• " Large language models may find a niche, but they are not the foundation for generally intelligent systems. Their novelty will wear off as people try to build real scalable systems with them and find it very difficult to deliver on the hype."

• "There will be human drivers on our roads for decades to come."

And Brooks had this to say about ChatGPT. "People are making the same mistake that they have made again and again and again, completely misjudging some new AI demo as the sign that everything in the world has changed. It hasn't."

CNET will pause publication of stories generated using artificial intelligence "for now," the site's leadership told employees on a staff call Friday. The Verge reports: The call, which lasted under an hour, was held a week after CNET came under fire for its use of AI tools on stories and one day after The Verge reported that AI tools had been in use for months, with little transparency to readers or staff. CNET hadn't formally announced the use of AI until readers noticed a small disclosure. "We didn't do it in secret," CNET editor-in-chief Connie Guglielmo told the group. "We did it quietly." CNET, owned by private equity firm Red Ventures, is among several websites that have been publishing articles written using AI. Other sites like Bankrate and CreditCards.com would also pause AI stories, executives on the call said.

The call was hosted by Guglielmo, Lindsey Turrentine, CNET's EVP of content and audience, and Lance Davis, Red Ventures' vice president of content. They answered a handful of questions submitted by staff ahead of time in the AMA-style call. Davis, who was listed as the point of contact for CNET's AI stories until recently, also gave staff a more detailed rundown of the tool that has been utilized for the robot-written articles. Until now, most staff had very little insight into the machine that was generating dozens of stories appearing on CNET.

The AI, which is as of yet unnamed, is a proprietary tool built by Red Ventures, according to Davis. AI editors are able to choose domains and domain-level sections from which to pull data from and generate stories; editors can also use a combination of AI-generated text and their own writing or reporting. Turrentine declined to answer staff questions about the dataset used to train AI in today's meeting as well as around plagiarism concerns but said more information would be available next week and that some staff would get a preview of the tool.

Boston Dynamics released a demo of its humanoid robot Atlas, showing it pick up and deliver a bag of tools to a construction worker. While Atlas could already run and jump over complex terrain, the new hands, or rudimentary grippers, "give the robot new life," reports TechCrunch. From the report: The claw-like gripper consists of one fixed finger and one moving finger. Boston Dynamics says the grippers were designed for heavy lifting tasks and were first demonstrated in a Super Bowl commercial where Atlas held a keg over its head. The videos released today show the grippers picking up construction lumber and a nylon tool bag. Next, the Atlas picks up a 2x8 and places it between two boxes to form a bridge. The Atlas then picks up a bag of tools and dashes over the bridge and through construction scaffolding. But the tool bag needs to go to the second level of the structure -- something Atlas apparently realized and quickly throws the bag a considerable distance. Boston Dynamics describes this final maneuver: 'Atlas' concluding move, an inverted 540-degree, multi-axis flip, adds asymmetry to the robot's movement, making it a much more difficult skill than previously performed parkour." A behind the scenes video describing how Atlas is able to recognize and interact with objects is also available on YouTube.

"When Robert Wood came to Harvard University 17 years ago, he wanted to design an insect-sized robot that could fly," reports the Boston Globe. And finally Last month, technology from Wood's "RoboBee" project was commercialized for the first time, "spinning out as a surgical-robot startup backed by venture capital firm 1955 Capital.

"RoboBee was funded by $10 million in grants from the National Science Foundation. Its evolution into a company says a lot about how schools like Harvard are doing more to encourage entrepreneurship." The RoboBee first took flight in 2012, connected to a tether that provided a power supply. In 2019, it became the lightest object to take off and fly on its own.... When it takes off, its little wings flap about 150 times per second, but a slowed-down video of the wings resembles a human treading water. Many wonder what tiny, flying robots that weigh less than one-tenth of a gram might be useful for. Pollinating crops? Surveillance? Wood said he never paid too much attention to that.

"It's never really been about, 'Oh, I'm going to start a company based upon this,'" he said. But that changed recently, he said, mostly because of a growing push at Harvard to move research from its labs into the real world.... Wood was connected to venture capitalist and Harvard alum Andrew Chung by the school's School of Engineering and Applied Sciences dean, Frank Doyle, during the pandemic. The managing partner of 1955 Capital said he's been investing in surgical-robotics companies for the past decade. "The one key thing that we have been dreaming about is how we can make the robotic arms a lot smaller," Chung said. "Not necessarily what other VCs might be thinking, which is maybe 15 to 20 percent smaller. We're thinking 90 percent smaller."

Chung noticed how the RoboBee was designed and manufactured — Wood got his inspiration from origami and children's-book layering and folding techniques — and thought it could help make better small-scale surgical robots. "Thinking about how to shrink these devices to insect size or smaller opens up a whole range of possibilities that even surgeons haven't quite imagined," Chung said. For now, the startup is called Project 1985, a reference to the year the first robotic-assisted surgery took place. The company will initially focus on neurosurgery, urology, and lung surgery. Wood will serve as an advisor.

An investigation recently revealed how images of a minor and a tester on the toilet ended up on social media. iRobot said it had consent to collect this kind of data from inside homes -- but participants say otherwise. From a report: When Greg unboxed a new Roomba robot vacuum cleaner in December 2019, he thought he knew what he was getting into. He would allow the preproduction test version of iRobot's Roomba J series device to roam around his house, let it collect all sorts of data to help improve its artificial intelligence, and provide feedback to iRobot about his user experience. He had done this all before. Outside of his day job as an engineer at a software company, Greg had been beta-testing products for the past decade. He estimates that he's tested over 50 products in that time -- everything from sneakers to smart home cameras.

But what Greg didn't know -- and does not believe he consented to -- was that iRobot would share test users' data in a sprawling, global data supply chain, where everything (and every person) captured by the devices' front-facing cameras could be seen, and perhaps annotated, by low-paid contractors outside the United States who could screenshot and share images at their will. Greg, who asked that we identify him only by his first name because he signed a nondisclosure agreement with iRobot, is not the only test user who feels dismayed and betrayed. Nearly a dozen people who participated in iRobot's data collection efforts between 2019 and 2022 have come forward in the weeks since MIT Technology Review published an investigation into how the company uses images captured from inside real homes to train its artificial intelligence. The participants have shared similar concerns about how iRobot handled their data -- and whether those practices conform with the company's own data protection promises. After all, the agreements go both ways, and whether or not the company legally violated its promises, the participants feel misled.

A Boston Globe tech reporter checked last year's performance for the region's tech companies: A list of the worst local performers includes some truly bottom-of-the-barrel returns. Cannabis tech company Agrify in Billerica suffered a 99.6 percent stock drop in 2022. Wireless Internet service Starry and diet-device maker Gelesis were close behind with losses of 99.5 and 99.3 percent, respectively. (All stock prices are as of Dec. 28.)

Agrify suffered a recent sales drop and growing losses while ending the year facing a customer lawsuit and possible hostile takeover. Starry was unable to raise the funds needed to continue building its network and put itself up for sale last month. And Gelesis fell far short of its sales forecast, bringing in about $30 million of revenue compared to a projection of $171 million presented when its merger with Capstar Special Purpose Acquisition Corp. was announced in 2021....

Companies like Starry and Gelesis that went public by merging with blank-check firms had a particularly tough year, as investors flipped from euphoria to panic on the so-called SPAC boom. The average 2022 return for 21 such stocks tracked by the Globe was a loss of 70 percent. Of tech companies that went public the traditional way, the average loss was 45 percent. Toast, which did a standard IPO at the same time Ginkgo Bioworks completed its SPAC deal, lost 51 percent for the year while Ginkgo plunged 80 percent.
In the wider market of tech stocks, the article notes that the S&P 500 index dropped 20%, while the Nasdaq Composite plunged 34 percent, "and tech giants such as Apple, Amazon, and Meta shed hundreds of billions of dollars of market value."

"Of 60 local tech stocks tracked by the Globe, only two posted positive returns: robotics maker Symbotic in Wilmington and payments company WEX in Portland, Maine.... Perhaps in 2023, the winners column will be a little longer."

An anonymous reader quotes a report from Hackaday: Stabilizing an inverted pendulum is a classic problem in control theory, and if you've ever taken a control systems class you might remember seeing pages full of differential equations and bode diagrams just to describe its basic operation. Although this might make such a system seem terribly complicated, actually implementing all of that theory doesn't have to be difficult at all, as [Limenitis Reducta] demonstrates in his latest project. All you need is a 3D printer, some basic electronic skills and knowledge of Python. The components needed are a body, two wheels, motors to drive those wheels and some electronics. [Limenitis] demonstrates the design process in the video [here] (in Turkish, with English subtitles available) in which he draws the entire system in Fusion 360 and then proceeds to manufacture it. The body and wheels are 3D-printed, with rubber bands providing some traction to the wheels which would otherwise have difficulty on slippery surfaces.

Two stepper motors drive the wheels, controlled by a DRV8825 motor driver, while an MPU-9250 accelerometer and gyroscope unit measures the angle and acceleration of the system. The loop is closed by a Raspberry Pi Pico that implements a PID controller: another control theory classic, in which the proportional, integral and derivative parameters are tuned to adapt the control loop to the physical system in question. External inputs can be provided through a Bluetooth connection, which makes it possible to control the robot from a PC or smartphone and guide it around your living room. All design files and software are available on Limenitis' GitHub page.

"The first mostly non-human-run McDonald's is open for business just outside Fort Worth, Texas," reports the Guardian. CNN calls it "an almost fully-automated restaurant," noting there's just one self-service kiosk (with a credit card reader) for ordering food.

McDonalds tells CNN there's "some interaction between customers and the restaurant team" when picking up orders or drinks. But at the special "order ahead" drive-through lane, your app-ordered bag of food is instead delivered to a platform by your car's window using a vertical conveyor belt.

CNN reports that it's targetted to customers on the go. For example, there's dedicated parking spaces outside for curbside pickup orders, while inside there's a room with bags to be picked up by food-delivery couriers (who also get their own designated parking spaces outside). But for regular customers, CBS emphasizes that "ordering is done through kiosks or an app — no humans involved there, either." But not all customers are loving it. "Well there goes millions of jobs," one commenter on a TikTok video said about the new restaurant said.

"Oh no first we have to talk with Siri and Google [and] now we have to talk to another computer," another one opined.

"I'm not giving my money to robots," another commenter wrote. "Raise the minimum wage!"

Other customers had more personal concerns, expressing worries about how they could get their order fixed if it was incorrectly prepared or how to ask for extra condiments. "And if they forget an item. Who you supposed to tell, the robot? It defeats the purpose of using the drive thru if you have to go inside for it," one consumer noted....

To be sure, not everyone had negative views about the concept. Some customers expressed optimism that the automated restaurant could improve service and their experience.

An anonymous reader shares a report: This holiday season at the Garden City Hotel on Long Island, Merle Ayers is feeling especially grateful for the Whiz. At two feet tall and 66 pounds, the powerful robot vacuum doesn't mind working late into the night after the parties are over. The Whiz doesn't care that it's the holidays. It doesn't even need a day off. "It just needs to be cared for. We have to change the vacuum bags periodically and keep the batteries charged," says Ayers, the hotel's director of banquets. Amid ongoing staffing shortages, the two robot vacuums the hotel purchased late last year for about $30,000 each are proving their worth many times over, filling gaps in both the catering department and housekeeping.

"If we vacuum every floor with a robot, that saves one whole shift," says Garden City Hotel managing director Grady Colin. "That's one whole person per day that can be redeployed to do something else." These days, he'll take all the help he can get. Travelers have returned from the pandemic, but hotel workers have not, creating unprecedented staffing challenges for the hospitality industry. According to the Labor Department, there are 350,000 fewer people working in hotels today than there were in February 2020, before the pandemic. It's not for lack of trying. Hotels have raised hourly wages by 25% since early 2020, and employers are offering greater flexibility in scheduling. Still, workers are nowhere to be seen. "I've been in the hotel business for a long time," says Colin. "I've never seen anything like this."

An anonymous reader quotes a report from MIT News: What if the U.S. placed a tax on robots? The concept has been publicly discussed by policy analysts, scholars, and Bill Gates (who favors the notion). Because robots can replace jobs, the idea goes, a stiff tax on them would give firms incentive to help retain workers, while also compensating for a dropoff in payroll taxes when robots are used. Thus far, South Korea has reduced incentives for firms to deploy robots; European Union policymakers, on the other hand, considered a robot tax but did not enact it. Now a study by MIT economists scrutinizes the existing evidence and suggests the optimal policy in this situation would indeed include a tax on robots, but only a modest one. The same applies to taxes on foreign trade that would also reduce U.S. jobs, the research finds.

"Our finding suggests that taxes on either robots or imported goods should be pretty small," says Arnaud Costinot, an MIT economist, and co-author of a published paper detailing the findings. "Although robots have an effect on income inequality ... they still lead to optimal taxes that are modest." Specifically, the study finds that a tax on robots should range from 1 percent to 3.7 percent of their value, while trade taxes would be from 0.03 percent to 0.11 percent, given current U.S. income taxes. "We came in to this not knowing what would happen," says Ivan Werning, an MIT economist and the other co-author of the study. "We had all the potential ingredients for this to be a big tax, so that by stopping technology or trade you would have less inequality, but ... for now, we find a tax in the one-digit range, and for trade, even smaller taxes."

[...] Apart from its bottom-line tax numbers, the study contains some additional conclusions about technology and income trends. Perhaps counterintuitively, the research concludes that after many more robots are added to the economy, the impact that each additional robot has on wages may actually decline. At a future point, robot taxes could then be reduced even further. "You could have a situation where we deeply care about redistribution, we have more robots, we have more trade, but taxes are actually going down," Costinot says. If the economy is relatively saturated with robots, he adds, "That marginal robot you are getting in the economy matters less and less for inequality." The paper, "Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation," appears in advance online form in The Review of Economic Studies.

schwit1 shares a report from Futurism: Your robot vacuums are watching you -- and the resulting imagery of your most private moments can, horrifically, get leaked online. As the MIT Technology Review reports, the aptly-named company iRobot, behind the uber-popular Roomba vacuums, confirmed that gig workers outside of the US broke a non-disclosure agreement when sharing intimate photos, including one of a woman on the toilet, to social media.

The images in question, some of which MIT Tech shared -- though thankfully not the bathroom one -- were snapped by the vacuums for the purpose of data annotation, the process in which humans confirm or deny whether AI has accurately labeled things correctly. While the data annotation process is integral to Roomba-style vacuums and other AI-enabled robotics, most people are unaware of the process, though iRobot claimed in its responses to MIT Tech that the leaked images came from development robots that had a bright green label that said "video recording in process."

The next time you order a meal from Uber Eats, it may be delivered by a robot -- at least if you live in Miami. From a report: Starting on Thursday, some Miami residents can order their Uber Eats takeout to be delivered via autonomous, sidewalk-trotting robots thanks to a new partnership between the ride-hailing company and robotics firm Cartken. With the new service, customers will be alerted when their food is on the way and then be instructed to meet the remotely-supervised robot on the sidewalk, according to in-app screenshots shared with CNN by Uber.

Customers can then unlock the vehicle using their phone and grab their order from a secure compartment. (Customers can also opt-out if they prefer to have their items delivered by a courier.) Cartken's six-wheeled robots are equipped with multiple sensors and cameras to help them avoid collisions and choose routes which have the fewest hazards, according to its website. The delivery robots can operate indoors as well as outdoors.

DoNotPay, the company that bills itself as "the world's first robot lawyer," is launching a new AI-powered chatbot that can help you negotiate bills and cancel subscriptions without having to deal with customer service. The Verge reports: In a demo of the tool posted by DoNotPay CEO Joshua Browder, the chatbot manages to get a discount on a Comcast internet bill through Xfinity's live chat. Once it connects with a customer service representative, the bot asks for a better rate using account details provided by the customer. The chatbot cites problems with Xfinity's services and threatens to take legal action, to which the representative responds by offering to take $10 off the customer's monthly internet bill.

This tool builds upon the many neat services DoNotPay already offers, which mainly allows customers can generate and submit templates to various entities, helping them to file complaints, cancel subscriptions, fight parking tickets, and much more. It even uses machine learning to highlight the most important parts of a terms of service agreement and helps customers shield their photos from facial recognition searches. But this is the first time DoNotPay's using an AI chatbot to interact with a representative in real time. The report notes that DoNotPay's bot is "built on top of OpenAI's GPT-3 API, the underlying toolset used by OpenAI's ChatGPT chatbot that tons of people have been playing around with to generate detailed (and sometimes nonsensical) responses."

"Almost all clothing is made by hand due to robots' inability to handle limp fabrics," writes Slashdot reader jonzornow. "A new approach avoids these issues by temporarily stiffening fabric. A robotic system developed to use this technique is now heading to its first factory for testing." Reuters reports: Work at Siemens grew out of efforts to create software to guide robots that could handle all types of flexible materials, such as thin wire cables, said [Eugen Solowjow, who heads a project at a Siemens lab in San Francisco that has worked on automating apparel manufacturing since 2018.], adding that they soon realized one of the ripest targets was clothing. The global apparel market is estimated to be worth $1.52 trillion, according to independent data platform Statista. Siemens worked with the Advanced Robotics for Manufacturing Institute in Pittsburgh, created in 2017 and funded by the Department of Defense to help old-line manufacturers find ways to use the new technology. They identified a San Francisco startup with a promising approach to the floppy fabric problem. Rather than teach robots how to handle cloth, the startup, Sewbo Inc., stiffens the fabric with chemicals so it can be handled more like a car bumper during production. Once complete, the finished garment is washed to remove the stiffening agent.

"Pretty much every piece of denim is washed after it's made anyway, so this fits into the existing production system," said Zornow, Sewbo's inventor. This research effort eventually grew to include several clothing companies, including Levi's and Bluewater Defense LLC, a small U.S.-based maker of military uniforms. They received $1.5 million in grants from the Pittsburgh robotics institute to experiment with the technique. [...] Sanjeev Bahl, who opened a small jeans factory in downtown Los Angeles two years ago called Saitex, has studied the Sewbo machines and is preparing to install his first experimental machine. Leading the way through his factory in September, he pointed to workers hunched over old-style machines and said many of these tasks are ripe for the new process. "If it works," he said, "I think there's no reason not to have large-scale (jeans) manufacturing here in the U.S. again."

It's a coffee shop and and robotics startup. Founded in 2020, Seattle-based Artly has seven locations in Washington, Oregon and California, reports the Seattle Times, noting that each location has a mechanically dexterous robotic arm that they're calling a "barista bot" that "makes the espresso, pours the milk, steams the foam and puts it all together, topping it off with a carefully drawn foam leaf." [P]ressing market needs were behind the innovation. Cost concerns and high employee turnover in food services have led Artly and others to provide automated solutions to restaurants and businesses, even before the pandemic hit and brought additional challenges. Just a couple of years into operation, Artly CEO Meng Wang said the company has maintained healthy operating margins — the profit a company makes after paying for costs of production — by eliminating the biggest expense in food business: labor. For a coffee shop that would need two or three baristas, Artly needs one staffer, in addition to a barista bot like Jarvis. Artly reinvests the money it saves from labor into sourcing more quality coffee, Wang said.

Artly isn't alone in introducing robot help in food preparation. Another Seattle-based startup, Picnic, offers automation solutions for a staple of the American diet: pizza. Its food prep station can produce up to 100 pizzas in one hour using metered toppings. Since Picnic was founded in 2016, its robots have assembled pizzas in many places, including Seattle's T-Mobile Park and the Las Vegas Convention Center. The company has seen a growing interest in its robots. This summer, Picnic announced partnerships with pizzeria Moto's West Seattle location and a Domino's store in Berlin.... With a robotics-as-a-service business model, the standard full offering for operators is $4,500 a month on a 36-month contract.
But the founder also told the newspaper how their customers reacted to their barista bots: [C]ustomers were initially intrigued and excited about the robot barista, but the service was slower than with a human barista. He said customers craved the connection with the person making their coffee. "When [customers] go to the coffee shop, their expectation is to be served by a human," Yang said.

With that, Artly has focused on opening locations in shopping malls and business office buildings rather than standard coffee shops.