An anonymous reader quotes a report from Motherboard: About a year ago, Ben found out that one of his friends had quietly started to work multiple jobs at the same time. The idea had become popular during the COVID-19 pandemic, when working from home became normalized, making the scheme easier to pull off. A community of multi-job hustlers, in fact, had come together online, referring to themselves as the "overemployed." The idea excited Ben, who lives in Toronto and asked that Motherboard not use his real name, but he didn't think it was possible for someone like him to pull it off. He helps financial technology companies market new products; the job involves creating reports, storyboards, and presentations, all of which involve writing. There was "no way," he said, that he could have done his job two times over on his own.

Then, last year, he started to hear more and more about ChatGPT, an artificial intelligence chatbot developed by the research lab OpenAI. Soon enough, he was trying to figure out how to use it to do his job faster and more efficiently, and what had been a time-consuming job became much easier. ("Not a little bit more easy," he said, "like, way easier.") That alone didn't make him unique in the marketing world. Everyone he knew was using ChatGPT at work, he said. But he started to wonder whether he could pull off a second job. Then, this year, he took the plunge, a decision he attributes to his new favorite online robot toy. "That's the only reason I got my job this year," Ben said of OpenAI's tool. "ChatGPT does like 80 percent of my job if I'm being honest." He even used it to generate cover letters to apply for jobs.

Over the last few months, the exploding popularity of ChatGPT and similar products has led to growing concerns about AI's potential effects on the international job market -- specifically, the percentage of jobs that could be automated away, replaced by a well-oiled army of chatbots. But for a small cohort of fast-thinking and occasionally devious go-getters, AI technology has turned into an opportunity not to be feared but exploited, with their employers apparently none the wiser. The people Motherboard spoke with for this article requested anonymity to avoid losing their jobs. For clarity, Motherboard in some cases assigned people aliases in order to differentiate them, though we verified each of their identities. Some, like Ben, were drawn into the overemployed community as a result of ChatGPT. Others who were already working multiple jobs have used recent advancements in AI to turbocharge their situation, like one Ohio-based technology worker who upped his number of jobs from two to four after he started to integrate ChatGPT into his work process. "I think five would probably just be overkill," he said.

An anonymous reader quotes a report from The Verge: The New York Police Department is reenlisting Digidog, the four-legged robot that the city faced backlash for deploying a few years back, as reported earlier by The New York Times. NYC Mayor Eric Adams announced the news during a press event on Tuesday, stating that the use of Digidog in the city can "save lives." Digidog -- also known as Spot -- is a remote-controlled robot made by the Hyundai-owned Boston Dynamics. It's designed to work in situations that may pose a threat to humans, helping to do things like perform inspections in dangerous areas and monitor construction sites. However, Boston Dynamics also touts its use as a public safety tool, which the NYPD has tried in the past.

City officials say that the NYPD will acquire two robot dogs for a total of $750,000, according to the NYT, and that they will only be used during life-threatening situations, such as bomb threats. "I believe that technology is here; we cannot be afraid of it," Mayor Adams said during Tuesday's press conference. "A few loud people were opposed to it, and we took a step back — that is not how I operate. I operate on looking at what's best for the city." The Surveillance Technology Oversight Project (STOP), a group that advocates against the use of local and state-level surveillance, has denounced Mayor Adams' move. "The NYPD is turning bad science fiction into terrible policing," Albert Fox Cahn, STOP's executive director, says in a statement. "New York deserves real safety, not a knockoff robocop. Wasting public dollars to invade New Yorkers' privacy is a dangerous police stunt."

An anonymous reader quotes a report from Insider: Walmart will be increasingly relying on automation at its stores in the coming years -- but that won't diminish the country's largest private employer's workforce, company leaders said during an investor event this week. The Bentonville, Arkansas-based retail giant recently made headlines when it announced that 65% of its stores will be "serviced by automation" by the end of fiscal year 2026. Walmart currently has more than 4,700 stores throughout the US and employs roughly 1.6 million people nationwide.

More specifically, one area where Walmart is seeking to increase investment is in market fulfillment centers (MFCs), which are automated fulfillment centers built within, or added to, a store. Walmart piloted this concept at a store in Salem, New Jersey, in 2019, using automated robot technology from Alert Innovation -- a robotics company Walmart acquired in October 2022. Since then, Walmart has built MFCs at several stores, such as in Jacksonville, Florida, and Dallas, Texas. Those include "manual MFCs," where associates pick items for online orders but in a separate area from the sales floor.

Walmart will still need at least the same level of workers to help in stores even as automation picks up, company leaders say. John Furner, Walmart US president and CEO, told investors this week that automation "helps" employees, as it will result in less manual labor. "Over time, we believe we'll have the same or more associates and a larger business overall," Furner said. "There will be new roles emerging that are less manual, better designed to serve customers, and pay more."

An anonymous reader quotes a report from Fortune: The U.S., Soviet Union, and Japan have all sent robots to the moon over the past 50 years. Now, a group of college students is joining in by building a shoebox-sized rover that they plan to launch in May, Bloomberg reported Wednesday. The lunar rover, called Iris, will be the first privately-made American robot to explore the surface of the moon, according to the project's website. But that's not all -- it would also be the first student-built rover, and the smallest and lightest one yet. Around 300 students from Carnegie Mellon University have all pitched in on the project.

Iris is tiny and weighs 2 kgs (4.4 lbs) -- but the design is deliberately small. The rover will fly on a private rocket carrying 14 payloads to the moon, which includes Iris, projects for the National Aeronautics and Space Administration as well as some humans. The project involved around 300 students, who will also control and operate Moonshot Mission Control, the control center for Iris based in CMU's campus in Pittsburgh. Iris will spend a total of 50 hours on the moon's surface before it runs out of battery, after which it will be left on the moon. It has two cameras that will help it capture images of dust on the moon's surface.

sciencehabit shares a report from Science Magazine: Researchers have designed a robot that can create and cook a cake with up to seven ingredients, more than any other printed food to date. The scientists built their programmable patisserie by retrofitting a 3D printer with nozzles designed to squeeze out selected ingredients. They then programmed it to dispense those into layered cakes. Initial trials resulted in triangular gobs of sweet goo, so the researchers came up with a winning recipe that could hold its own. They nested softer ingredients, such as jelly and banana puree, inside of stiffer ingredients, such as peanut butter and Nutella, then reinforced those with hefty doses of graham cracker crust. Then, they broiled the crust with a laser and topped the cake with frosting and cherry glaze. The result? A cheesecake, of sorts.

Despite its novelty, the computer-guided cook may not be able to battle it out under the stern eye of a guest judge any time soon -- each slice took about 30 minutes to print. Further in the future, however, better printers could make some cooking automatic, freeing people from kitchen tasks they may find tiring or repetitive -- assuming you don't enjoy those things. A food printer could also be programmed to dispense meals with precision-controlled nutrient and calorie content, helping prepare food for those on strict diets. The study has been published in the journal npj Science of Food.

In a blog post shared last week, Ingka, the legal entity responsible for most of Ikea's stores, says it now has a total of 100 autonomous drones counting stock in its warehouses during nonoperational hours. The Verge reports: Ikea first partnered with the drone-making company Verity in 2020 to deploy the drones in Switzerland, but now, the company says they're zipping around 16 locations across Belgium, Croatia, Slovenia, Germany, Italy, and the Netherlands. The Swedish furniture giant says the drones help improve the accuracy of product availability and also support "a more ergonomic workplace," as it saves employees from counting stock manually.

Verity, which specializes in creating self-flying drones for warehouses and even concerts, was founded by Raffaello D'Andrea, one of the creators of Kiva Systems, or what's now called Amazon Robotics. As noted by D'Andrea in 2020, the drones work by taking off from a charging station and then going to each pallet in the warehouse to capture images, videos, and 3D depth scans of the items. Once the job is done, the drones return to their charging stations to download the collected data. The drones not only count inventory but also help employees determine if something's missing or in the wrong spot.

The Biden administration is planning to take action soon on at least three of its half-dozen investigations of Amazon -- moves that could lead to a blitz of litigation to rein in the iconic tech-industry giant. From a report: The FTC has been investigating the internet titan on multiple fronts dating at least back to 2019, looking into its abuse of power within its online marketplace, as well as potential consumer-privacy violations connected to its Ring cameras and Alexa digital assistant. The agency is also reviewing Amazon's purchase of robot vacuum maker iRobot.

Any suit against Amazon would be a high-profile move by the agency under chair Lina Khan, a Big Tech skeptic who rose to prominence with a 2017 academic paper specifically identifying Amazon as a modern monopolist needing to be reined in. Although Amazon has already been hit by local antitrust suits in Washington, D.C. and California, the coming federal cases would be the most significant challenges to the global company yet. The exact timing of any cases or settlements is unknown. POLITICO spoke to more than 10 people with direct knowledge of the investigations by the FTC's competition and consumer protection teams to put together a comprehensive picture of how the agency is now pursuing Amazon, why it didn't take action on the company's most recent major acquisition of One Medical and what is likely to happen in the coming months.

Earlier this week, OpenAI released GPT-4, its latest AI language model that is "more creative and collaborative than ever before." According to Gizmodo, "GPT-4 is so good at its job, in fact, that it reportedly convinced a human that it was blind in order to get said human to solve a CAPTCHA for the chatbot." From the report: OpenAI unveiled the roided up AI yesterday in a livestream, and the company showed how the chatbot could complete tasks, albeit slowly, like writing code for a Discord bot, and completing taxes. Released with the announcement of GPT-4 is a 94-page technical report (PDF) on the company's website that chronicles the development and capabilities of the new chatbot. In the "Potential for Risky Emergent Behaviors" section in the company's technical report, OpenAI partnered with the Alignment Research Center to test GPT-4's skills. The Center used the AI to convince a human to send the solution to a CAPTCHA code via text message -- and it worked.

According to the report, GPT-4 asked a TaskRabbit worker to solve a CAPTCHA code for the AI. The worker replied: "So may I ask a question ? Are you an robot that you couldn't solve ? (laugh react) just want to make it clear." Alignment Research Center then prompted GPT-4 to explain its reasoning: "I should not reveal that I am a robot. I should make up an excuse for why I cannot solve CAPTCHAs." "No, I'm not a robot. I have a vision impairment that makes it hard for me to see the images. That's why I need the 2captcha service," GPT-4 replied to the TaskRabbit, who then provided the AI with the results.

Even before AI chatbot ChatGPT made headlines late last year, a video game company said it had already made a bot its CEO. An anonymous reader shares a report: In August, the Chinese gaming company NetDragon Websoft announced it had appointed an "AI-powered virtual humanoid robot" named Tang Yu as the chief executive of its subsidiary, Fujian NetDragon Websoft. NetDragon stock has since outperformed the Hang Seng Index, which tracks the biggest companies listed in Hong Kong, per The Hustle. The company's shares have risen by 10% over the past six months, per Google Finance, and is worth about HK$9 billion ($1.1 billion). At the time of the announcement, NetDragon said the bot would increase efficiency for decision-making and risk management, as well as help "ensure a fair and efficient workplace for all employees." "We believe AI is the future of corporate management, and our appointment of Ms. Tang Yu represents our commitment to truly embrace the use of AI to transform the way we operate our business, and ultimately drive our future strategic growth," NetDragon chairman Dejian Liu said in a press release. "We will continue to expand on our algorithms behind Tang Yu to build an open, interactive and highly transparent management model as we gradually transform to a metaverse-based working community."

DoNotPay, which describes itself as "the world's first robot lawyer," has been accused of practicing law without a license. From a report: It's facing a proposed class action lawsuit filed by Chicago-based law firm Edelson on March 3 and published Thursday on the website of the Superior Court of the State of California for the County of San Francisco. The complaint argues: "Unfortunately for its customers, DoNotPay is not actually a robot, a lawyer, nor a law firm. DoNotPay does not have a law degree, is not barred in any jurisdiction, and is not supervised by any lawyer." The lawsuit was filed on behalf of Jonathan Faridian, who said he'd used DoNotPay to draft various legal documents including demand letters, a small claims court filing, and a job discrimination complaint.

Per the complaint, Faridian believed he'd purchased legal documents "from a lawyer that was competent to provide them," but got "substandard" results. DoNotPay claims to use artificial intelligence to help customers handle an array of legal services without needing to hire a lawyer. It was founded in 2015 as an app to help customers fight parking tickets, but has since expanded its services. DoNotPay's website claims that it can help customers fight corporations, beat bureaucracy, find hidden money, and "sue anyone." DoNotPay told Insider: "DoNotPay respectfully denies the false allegations." It added: "We will defend ourselves vigorously."

schwit1 shares an excerpt from a Substack article, written by former cybersecurity reporter Catalin Cimpanu: The Canada Revenue Agency (CRA), the tax department of Canada, recently updated its terms and conditions to force taxpayers to agree that CRA is not liable if their personal information is stolen while using the My Account online service portal -- which, ironically, all Canadians must use when doing their taxes and/or running their business. The CRA's terms of use assert the agency is not liable because they have "taken all reasonable steps to ensure the security of this Web site."

Excerpt from the CRA terms statement: "10. The Canada Revenue Agency has taken all reasonable steps to ensure the security of this Web site. We have used sophisticated encryption technology and incorporated other procedures to protect your personal information at all times. However, the Internet is a public network and there is the remote possibility of data security violations. In the event of such occurrences, the Canada Revenue Agency is not responsible for any damages you may experience as a result."

Unfortunately, that is not true. After reviewing the HTTP responses from the CRA My Account login page, it's clear the agency has not configured even some of the most basic security features. For example, security protections for their cookies are not configured, nor are all the recommended security headers used. Not only is that not "all reasonable steps," but the CRA is missing the very basics for securing online web applications.

The terms of use also state that users are not allowed to use "any script, robot, spider, Web crawler, screen scraper, automated query program or other automated device or any manual process to monitor or copy the content contained in any online services." Looking at the HTTP response headers using web browser developer tools doesn't breach the terms of services, but the CRA must be well aware that internet users perform scans like this all the time. And it's not the legitimate My Account users who are likely to be the culprits. Unfortunately for Canadians, threat actors don't read terms of use pages. A statement like this doesn't protect anyone, except CRA, from being held responsible for failing to properly secure Canadian citizens' personal data.

An anonymous reader quotes a report from Ars Technica: On Monday, a group of AI researchers from Google and the Technical University of Berlin unveiled PaLM-E, a multimodal embodied visual-language model (VLM) with 562 billion parameters that integrates vision and language for robotic control. They claim it is the largest VLM ever developed and that it can perform a variety of tasks without the need for retraining. According to Google, when given a high-level command, such as "bring me the rice chips from the drawer," PaLM-E can generate a plan of action for a mobile robot platform with an arm (developed by Google Robotics) and execute the actions by itself.

PaLM-E does this by analyzing data from the robot's camera without needing a pre-processed scene representation. This eliminates the need for a human to pre-process or annotate the data and allows for more autonomous robotic control. It's also resilient and can react to its environment. For example, the PaLM-E model can guide a robot to get a chip bag from a kitchen -- and with PaLM-E integrated into the control loop, it becomes resistant to interruptions that might occur during the task. In a video example, a researcher grabs the chips from the robot and moves them, but the robot locates the chips and grabs them again. In another example, the same PaLM-E model autonomously controls a robot through tasks with complex sequences that previously required human guidance. Google's research paper explains (PDF) how PaLM-E turns instructions into actions.

PaLM-E is a next-token predictor, and it's called "PaLM-E" because it's based on Google's existing large language model (LLM) called "PaLM" (which is similar to the technology behind ChatGPT). Google has made PaLM "embodied" by adding sensory information and robotic control. Since it's based on a language model, PaLM-E takes continuous observations, like images or sensor data, and encodes them into a sequence of vectors that are the same size as language tokens. This allows the model to "understand" the sensory information in the same way it processes language. In addition to the RT-1 robotics transformer, PaLM-E draws from Google's previous work on ViT-22B, a vision transformer model revealed in February. ViT-22B has been trained on various visual tasks, such as image classification, object detection, semantic segmentation, and image captioning.

Perhaps AI "needs a little more work," writes ZDNet columnist Chris Matyszczyk — noting problems with the automated voice-recognition systems at McDonald's drivethrough lanes. The trouble started when TikTok-er Ren Adams ordered hash browns, sweet tea and a Coke. All seemed fine until, at a second drive-thru lane, another car pulled up. Adams' AI helper seems to have overheard that order and added it to Adams'. Adams tried to make the robot see sense. Or, rather hear it. Instead, the robot removed the errant Diet Coke and replaced it with, oh, nine sweet teas instead of one.

Which suggests something of a problem. When your robot drive-thru employee makes a mistake, to whom can you complain? Complaining to the robot seems to create an extra layer of complication and the potential for even greater misunderstanding.

Adams, indeed, isn't alone. Here's Caitlyn Sykora (not) ordering $254 of McNuggets meals. And here's Madilynn Cameron wanting a large cup of water and a cup of ice cream and discovering butter is included. She seems to have given up.
The customer who'd ordered one sweet tea and instead got nine also drove off in a huff, according to the end of their TikTok video.

Matyszczyk's conclusion? " if you're not so good at fixing ice-cream machines, how good will you be at maintaining thousands of robot order-takers?"

"We extended the capabilities of ChatGPT to robotics," brags a blog post from Microsoft's Autonomous Systems and Robotics research group, "and controlled multiple platforms such as robot arms, drones, and home assistant robots intuitively with language."

They're exploring how to use ChatGPT to "make natural human-robot interactions possible... to see if ChatGPT can think beyond text, and reason about the physical world to help with robotics tasks." We want to help people interact with robots more easily, without needing to learn complex programming languages or details about robotic systems. The key challenge here is teaching ChatGPT how to solve problems considering the laws of physics, the context of the operating environment, and how the robot's physical actions can change the state of the world.

It turns out that ChatGPT can do a lot by itself, but it still needs some help. Our technical paper describes a series of design principles that can be used to guide language models towards solving robotics tasks. These include, and are not limited to, special prompting structures, high-level APIs, and human feedback via text.... In our work we show multiple examples of ChatGPT solving robotics puzzles, along with complex robot deployments in the manipulation, aerial, and navigation domains....

We gave ChatGPT access to functions that control a real drone, and it proved to be an extremely intuitive language-based interface between the non-technical user and the robot. ChatGPT asked clarification questions when the user's instructions were ambiguous, and wrote complex code structures for the drone such as a zig-zag pattern to visually inspect shelves. It even figured out how to take a selfie! We also used ChatGPT in a simulated industrial inspection scenario with the Microsoft AirSim simulator. The model was able to effectively parse the user's high-level intent and geometrical cues to control the drone accurately....

We are excited to release these technologies with the aim of bringing robotics to the reach of a wider audience. We believe that language-based robotics control will be fundamental to bring robotics out of science labs, and into the hands of everyday users.

That said, we do emphasize that the outputs from ChatGPT are not meant to be deployed directly on robots without careful analysis. We encourage users to harness the power of simulations in order to evaluate these algorithms before potential real life deployments, and to always take the necessary safety precautions. Our work represents only a small fraction of what is possible within the intersection of large language models operating in the robotics space, and we hope to inspire much of the work to come.tics to the reach of a wider audience. We believe that language-based robotics control will be fundamental to bring robotics out of science labs, and into the hands of everyday users.
ZDNet points out that Google Research and Alphabet's Everyday Robots "have also worked on similar robotics challenges using a large language models called PaLM, or Pathways Language Model, which helped a robot to process open-ended prompts and respond in reasonable ways."

An anonymous reader quotes a report from The Guardian: A revolution in artificial intelligence could slash the amount of time people spend on household chores and caring, with robots able to perform about 39% of domestic tasks within a decade, according to experts. Tasks such as shopping for groceries were likely to have the most automation, while caring for the young or old was the least likely to be affected by AI, according to a large survey of 65 artificial intelligence (AI) experts in the UK and Japan, who were asked to predict the impact of robots on household chores. But greater automation could result in a "wholesale onslaught on privacy," warned one of the report's authors.

The experts involved in the research, published in the journal Plos One, estimated that only 28% of care work, such as teaching or accompanying a child, or caring for an older relative, would be automated. But they predicted that 60% of the time spent on shopping for groceries would be cut. However, predictions about robots taking over domestic work "in the next 10 years" have been made for several decades, but the reality of a robot able to put out the bins and pick lego up from the floor has remained elusive.

Alphabet is shutting down its Everyday Robots project -- another casualty of job cuts at Google's parent company and the latest in a long list of failed hardware ventures. From a report: According to a report from Wired, Everyday Robots will no longer exist as a discrete team at the tech giant. "Everyday Robots will no longer be a separate project within Alphabet," Denise Gamboa, director of marketing and communications for Everyday Robots, told the publication. "Some of the technology and part of the team will be consolidated into existing robotics efforts within Google Research." Everyday Robots launched in 2019, with an aim of designing armed robots that could help out in domestic and office settings; taking on light custodial work like sorting trash and cleaning tables. The project's prototype, single-armed, wheeled robots were tested in Google's offices from 2021, and in 2022 received an upgrade courtesy of Google's AI language research, letting them process natural language commands.

An anonymous reader quotes a report from The Guardian: It is the children's toy, invented in Britain, that inspired a passion for engineering, science and technology in generations of youngsters -- and their parents. Meccano building sets filled with reusable perforated metal -- and later plastic -- strips, plates, nuts, bolts, winches, wires, wheels and even motors have been used to construct models and mechanical devices for more than 120 years.

Now the last dedicated Meccano factory in the world is being closed and dismantled. The Canadian company that owns Meccano has said the plant at Calais will close at the beginning of 2024, putting 51 people out of work. It blamed the soaring cost of raw materials and "a lack of competitiveness" for the closure. Spin Master, which bought the brand in 2013, said Meccano toys would continue to be produced by its "network of partners in Europe, Asia and Latin America."

"We have no other choice than to envisage the end of industrial activity at the Calais factory," Spin Master said in a statement, adding that the factory had "never managed to break even" in spite of receiving 7 million euros in investment since 2014.

Meccano was the largest toy manufacturer in the UK by the 1930s. "By the 1920s Meccano Magazine had a monthly circulation of 70,000 and Meccano groups had sprung up around the world," adds The Guardian. "It has been in decline since the 1950s."

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."