The Today show's food reporter delivers a strange report on a viral AI-generated ad "for an imaginary pizza place called 'Pepperoni Hug Spot'." Everything looks slightly ... off. Generated by AI, the audience is reminded constantly through the uncanny valley that the people aren't real — and neither is the pizza. "Cheese, pepperoni, vegetable, and more secret things," says the voiceover, which is also artificially generated... "Knock, knock, who's there? Pizza magic," the AI narrator says after a delivery driver (whose steering column is on the left side of his car) is shown delivering a pizza. "Eat Pepperoni Hug Spot pizza. Your tummy say 'Thank you.' Your mouth say, 'Mmm,'" the ad continues while showing a trio of women eating pizza in the oddest possible fashion, complete with bizarre cheese pulls and facial contortions out of a food-based nightmare. "Pepperoni Hug Spot: Like family, but with more cheese..." Using AI technologies Runway Gen2, Chat GPT4, Eleven Labs, Midjourney and Soundraw AI, the creator was able to produce the background music, voiceover, graphics, video and even generate the script for the ad. "I used Adobe After Effects to combine all the elements, adding title cards, transitions, and graphics," he adds... Seeing it spread, he whipped up a website that fit the uncanny vibe of the commercial and even created merch including hats and T-shirts. "I figured I should capitalize on my 15 minutes of internet fame, right?" he jokes. Twitter CEO Elon Musk "simply responded with an exploding head emoji." And Pizza Hut's official Twitter account posted their reaction: "My heebies have been jeebied." UPDATE: Saturday Pizza Hut Canada "transformed" one of its restaurants into the restaurant from the commercial, emblazoning the logo for Pepperoni Hug Spot onto its boxes, employee t-shirts, and the sign outside. There's two videos on the official Instagram feed for Pizza Hut Canada (which for the occasion changed its tagline to "Like family, but with more cheese.") One video closes by promising the pizza does, indeed, contain "secret things."

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This year's Kentucky Derby was won by a 15-to-1 longshot named Mage, reports sports magazine the Athletic. It was only the horse's third race — but the story gets even stranger: Mage is owned by a collective of horse racing fans that doesn't follow your standard ownership structure. Fans can purchase shares of a horse for as little as $50. It's a publicly owned racehorse. Mage has 391 owners on the Commonwealth app. Many were at the 2023 Kentucky Derby wearing Mage hats and they were shown on NBC's lead up to the Kentucky Derby. The Commonwealth app even tried to arrange watch parties for the horse race across the country. Shareholders own 25% of the racehorse, reports Sporting News: Although horses are the most common commodity, there are golfers on the app as well, specifically Joey Vrzich and Cooper Dossey, whom it says are "coming Spring 2023." Commonwealth has a partnership with WinStar Farm, a premiere breeder of thoroughbreds... "Together we are going to revolutionize the ownership experience and give the world access to horses that were once unavailable to the public," Brian Doxtator, CEO of Commonwealth said, per the collective's website. According to Action Network's Darren Rovell, Commonwealth owners will be paid out $94.52 per share (prior to taxes) for the win. Before the race the Athletic sports magazine asked seven experts for their picks — and only one of them had even mentioned Mage. (The Athletic's senior sports betting editor correctly picked Mage and "Angel of Empire" to finish somewhere in the top three positions.) But just for fun, the Athletic also asked three AI chatbots — and none of them picked the winner: Bing AI: That's a tough question. I don't have a personal preference, but based on the odds and the past performances, I think Forte has a good chance of winning. He has been very consistent and impressive in his races, and he has a top trainer and jockey. He also has a favorable post position at No. 14, which gives him some room to maneuver and avoid traffic. But as I said, anything can happen in the Kentucky Derby, and there are many other talented horses in the field. It will be an exciting race to watch. Google Bard: I like the chances of Tapit Trice to win the 2023 Kentucky Derby. He is the second-lowest odds horse at 5-1, and has won twice and finished second twice in six career races. He has one of the best pedigrees a horse could ask for, being sired by Justify, the 2018 Triple Crown winner. He is also coming off an impressive showing in the 2023 Blue Grass Stakes, where he finished second just barely behind Verifying. Here are some other horses that I like to finish in the money... The Kentucky Derby is always a tough race to predict, but I think these horses have a good chance of winning or finishing in the money. [Bard then listed five more of the 18 horses — one of which ultimately finished third.] Chat GPT: As an artificial intelligence language model, I don't have personal opinions or preferences. However, based on the current information I have, I cannot accurately predict the winner of the Kentucky Derby. Horse racing involves many variables, including the skill of the jockey, the health and performance of the horse, and even the weather conditions on race day. The outcome of any given race is always uncertain and subject to chance. It's important to note that gambling can be risky, and I don't encourage it.

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OpenAI CEO Sam Altman told CNBC that the company no longer trains its AI large-language models such as GPT with paying customer data. "Customers clearly want us not to train on their data, so we've changed our plans: We will not do that," Altman told CNBC's Andrew Ross Sorkin. From the report: OpenAI's terms of service were quietly updated March 1, records from the Internet Archive's Wayback Machine show. "We don't train on any API data at all, we haven't for a while," Altman told CNBC. APIs, or application programming interfaces, are frameworks that allow customers to plug directly into OpenAI's software. OpenAI's business customers, which include Microsoft, Salesforce and Snapchat, are more likely to take advantage of OpenAI's API capabilities. But OpenAI's new privacy and data protection extends only to customers who use the company's API services. "We may use Content from Services other than our API," the company's updated Terms of Use note. That could include, for example, text that employees enter into the wildly popular chatbot ChatGPT. Amazon reportedly recently warned employees not to share confidential information with ChatGPT for fear that it might show up in answers.

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AI startup Hugging Face and ServiceNow Research, ServiceNow's R&D division, have released StarCoder, a free alternative to code-generating AI systems along the lines of GitHub's Copilot. From a report: Code-generating systems like DeepMind's AlphaCode; Amazon's CodeWhisperer; and OpenAI's Codex, which powers Copilot, provide a tantalizing glimpse at what's possible with AI within the realm of computer programming. Assuming the ethical, technical and legal issues are someday ironed out (and AI-powered coding tools don't cause more bugs and security exploits than they solve), they could cut development costs substantially while allowing coders to focus on more creative tasks. According to a study from the University of Cambridge, at least half of developers' efforts are spent debugging and not actively programming, which costs the software industry an estimated $312 billion per year. But so far, only a handful of code-generating AI systems have been made freely available to the public -- reflecting the commercial incentives of the organizations building them (see: Replit). StarCoder, which by contrast is licensed to allow for royalty-free use by anyone, including corporations, was trained on over 80 programming languages as well as text from GitHub repositories, including documentation and programming notebooks. StarCoder integrates with Microsoft's Visual Studio Code code editor and, like OpenAI's ChatGPT, can follow basic instructions (e.g., "create an app UI") and answer questions about code.

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The mania for artificial intelligence is showing no sign of letting up in corporate America, with references to AI and related terms during calls with investors more than doubling from a year ago. From a report: Companies are scrambling to show they're at the forefront of finding ways to use algorithms that can parse enormous quantities of information based on simple prompts or images. AI promises to change the way business gets done, from hiring (or firing) staff to calming angry customers in an online chat. Growing alarm from industry leaders and governments at the potential dangers of the new technology hasn't deterred companies from voicing their commitment. The discussions build on the wave of interest following OpenAI's launch of the ChatGPT chatbot in November, which drove a 77% pickup in mentions of AI in earnings calls in the fourth quarter. The pace only intensified in the first-quarter calls -- there have been 1,072 mentions so far among companies in the S&P 500, from Meta Platforms to Alphabet and well beyond the tech industry.

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While the systemic brutality used by Colombian police to quell national protests in 2021 was real and is well documented, photos recently used by Amnesty International to highlight the issue were not. The international human rights advocacy group has come under fire for posting images generated by artificial intelligence in order to promote their reports on social media -- and has since removed them. From a report: The images, including one of a woman being dragged away by police officers, depict the scenes during protests that swept across Colombia in 2021. But any more than a momentary glance at the images reveals that something is off. The faces of the protesters and police are smoothed-off and warped, giving the image a dystopian aura. The tricolour carried by the protester has the right colours -- red, yellow and blue -- but in the wrong order, and the police uniform is outdated. Amnesty and other observers have documented hundreds of cases of human rights abuses committed by Colombian police during the wave of unrest in 2021, among them violence, sexual harassment and torture. Their research has raised awareness of the heavy-handedness of Colombian police and contributed to the growing acceptance of the need for reform. But photojournalists and media scholars warned that the use of AI-generated images could undermine Amnesty's own work and feed conspiracy theories.

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The White House on Thursday announced its first new initiatives aimed at taming the risks of artificial intelligence since a boom in A.I.-powered chatbots has prompted growing calls to regulate the technology. From a report: The National Science Foundation plans to spend $140 million on new research centers devoted to A.I., White House officials said. The administration also pledged to release draft guidelines for government agencies to ensure that their use of A.I. safeguards "the American people's rights and safety," adding that several A.I. companies had agreed to make their products available for scrutiny in August at a cybersecurity conference. The announcements came hours before Vice President Kamala Harris and other administration officials were scheduled to meet with the chief executives of Google, Microsoft, OpenAI, the maker of the popular ChatGPT chatbot, and Anthropic, an A.I. start-up, to discuss the technology. A senior administration official said on Wednesday that the White House planned to impress upon the companies that they had a responsibility to address the risks of new A.I. developments.The White House has been under growing pressure to police A.I. that is capable of crafting sophisticated prose and lifelike images. The explosion of interest in the technology began last year when OpenAI released ChatGPT to the public and people immediately began using it to search for information, do schoolwork and assist them with their job. Since then, some of the biggest tech companies have rushed to incorporate chatbots into their products and accelerated A.I. research, while venture capitalists have poured money into A.I. start-ups.

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An anonymous reader quotes a report from NPR: Back in 2017, Brynjolfsson published a paper (PDF) in one of the top academic journals, Science, which outlined the kind of work that he believed AI was capable of doing. It was called "What Can Machine Learning Do? Workforce Implications." Now, Brynjolfsson says, "I have to update that paper dramatically given what's happened in the past year or two." Sure, the current pace of change can feel dizzying and kinda scary. But Brynjolfsson is not catastrophizing. In fact, quite the opposite. He's earned a reputation as a "techno-optimist." And, recently at least, he has a real reason to be optimistic about what AI could mean for the economy. Last week, Brynjolfsson, together with MIT economists Danielle Li and Lindsey R. Raymond, released what is, to the best of our knowledge, the first empirical study of the real-world economic effects of new AI systems. They looked at what happened to a company and its workers after it incorporated a version of ChatGPT, a popular interactive AI chatbot, into workflows. What the economists found offers potentially great news for the economy, at least in one dimension that is crucial to improving our living standards: AI caused a group of workers to become much more productive. Backed by AI, these workers were able to accomplish much more in less time, with greater customer satisfaction to boot. At the same time, however, the study also shines a spotlight on just how powerful AI is, how disruptive it might be, and suggests that this new, astonishing technology could have economic effects that change the shape of income inequality going forward. Brynjolfsson and his colleagues described how an undisclosed Fortune 500 company implemented an earlier version of OpenAI's ChatGPT to assist its customer support agents in troubleshooting technical issues through online chat windows. The AI chatbot, trained on previous conversations between agents and customers, improved the performance of less experienced agents, making them as effective as those with more experience. The use of AI led to an, on average, 14% increase in productivity, higher customer satisfaction ratings, and reduced turnover rates. However, the study also revealed that more experienced agents did not experience significant benefits from using AI. The findings suggest that AI has the potential to improve productivity and reduce inequality by benefiting workers who were previously left behind in the technological era. Nonetheless, it raises questions about how the benefits of AI should be distributed and whether it may devalue specialized skills in certain occupations. While the impact of AI is still being studied, its ability to handle non-routine tasks and learn on the fly indicates that it could have different effects on the job market compared to previous technologies.

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Export controls imposed by the U.S. on microchips, aiming to hinder China's technological advancements, have had minimal effects on the country's tech sector. While the restrictions have slowed down variants of Nvidia's chips for the Chinese market, it has not halted China's progress in areas like AI, as the reduced performance is still an improvement for Chinese firms, and researchers are finding ways to overcome the limitations. Reuters reports: Nvidia has created variants of its chips for the Chinese market that are slowed down to meet U.S. rules. Industry experts told Reuters the newest one - the Nvidia H800, announced in March - will likely take 10% to 30% longer to carry out some AI tasks and could double some costs compared with Nvidia's fastest U.S. chips. Even the slowed Nvidia chips represent an improvement for Chinese firms. Tencent Holdings, one of China's largest tech companies, in April estimated that systems using Nvidia's H800 will cut the time it takes to train its largest AI system by more than half, from 11 days to four days. "The AI companies that we talk to seem to see the handicap as relatively small and manageable," said Charlie Chai, a Shanghai-based analyst with 86Research. Part of the U.S. strategy in setting the rules was to avoid such a shock that the Chinese would ditch U.S. chips altogether and redouble their own chip-development efforts. "They had to draw the line somewhere, and wherever they drew it, they were going to run into the challenge of how to not be immediately disruptive, but how to also over time degrade China's capability," said one chip industry executive who requested anonymity to talk about private discussions with regulators. The export restrictions have two parts. The first puts a ceiling on a chip's ability to calculate extremely precise numbers, a measure designed to limit supercomputers that can be used in military research. Chip industry sources said that was an effective action. But calculating extremely precise numbers is less relevant in AI work like large language models where the amount of data the chip can chew through is more important. [...] The second U.S. limit is on chip-to-chip transfer speeds, which does affect AI. The models behind technologies such as ChatGPT are too large to fit onto a single chip. Instead, they must be spread over many chips - often thousands at a time -- which all need to communicate with one another. Nvidia has not disclosed the China-only H800 chip's performance details, but a specification sheet seen by Reuters shows a chip-to-chip speed of 400 gigabytes per second, less than half the peak speed of 900 gigabytes per second for Nvidia's flagship H100 chip available outside China. Some in the AI industry believe that is still plenty of speed. Naveen Rao, chief executive of a startup called MosaicML that specializes in helping AI models to run better on limited hardware, estimated a 10-30% system slowdown. "There are ways to get around all this algorithmically," he said. "I don't see this being a boundary for a very long time -- like 10 years." Moreover, AI researchers are trying to slim down the massive systems they have built to cut the cost of training products similar to ChatGPT and other processes. Those will require fewer chips, reducing chip-to-chip communications and lessening the impact of the U.S. speed limits.

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Artificial intelligence will be dangerous in the hands of unscrupulous people, according to Microsoft Chief Economist Michael Schwarz. From a report: "I am confident AI will be used by bad actors, and yes it will cause real damage," Schwarz said during a World Economic Forum panel in Geneva on Wednesday. "It can do a lot damage in the hands of spammers with elections and so on." AI "clearly" must be regulated, he said, but lawmakers should be cautious and wait until the technology causes "real harm." Artificial intelligence tools have come under increased scrutiny as their use exploded in recent months following the debut of ChatGPT. Policymakers are trying to pressure companies to implement safeguards around the emerging technology. "Once we see real harm, we have to ask ourselves the simple question: 'Can we regulate that in a way where the good things that will be prevented by this regulation are less important?'" Schwarz said. "The principles should be, the benefits from the regulation to our society should be greater than the cost to our society."

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The co-founders of Google DeepMind and LinkedIn have launched an AI chatbot called Pi (Warning: source paywalled; alternative source), which aims to provide relaxed and supportive conversations rather than information or specific tasks, distinguishing itself by encouraging dialogue and inquiry from users. The Financial Times reports: The first product from the year-old AI start-up behind Pi, Inflection AI, comes as the growing hype around generative AI drives a surge of investor and consumer interest. Users of Pi can have personal conversations with the chatbot, either directly via an app, or through text, WhatsApp, Instagram and Facebook. Inflection AI chief executive Mustafa Suleyman described the chatbot as having the persona of a sympathetic sounding board, rather than trying to provide information. The product, which has been beta-tested by users for several months, has a narrow use case, which makes it safer and easier to control, Suleyman said. "There's lots of things Pi cannot do. It doesn't do lists, or coding, it doesn't do travel plans, it won't write your marketing strategy, or your essay for school," Suleyman said in an interview with the Financial Times. "It's purely designed for relaxed, supportive, informative conversation." Eventually, the personal AI tool would also provide assistance such as helping users perform online tasks, but was currently more for "mundane, trivial and banal" conversations, according to Suleyman. In a live demo of the chatbot, Pi appeared distinct from others such as ChatGPT or Bard in that it often ended its responses with a question for the user, encouraging dialogue. "That's what Pi does really well, it helps facilitate your own line of inquiry," Suleyman said. However, it does not provide citations or references, although Suleyman said that will change. It also sometimes fabricates facts, as is the case with all large language models -- the technology underlying the new generation of chatbots, he added.

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Samsung told CNBC that it is temporarily restricting the use of generative AI for employees after the company discovered such services were being misused. From the report: Employees of one of Samsung's biggest divisions were informed of the move in a memo at the end of April after there had been cases of misuse of the technology. Bloomberg reported on Tuesday that some staff had uploaded sensitive code to ChatGPT. Samsung does not have its own generative AI product yet. ChatGPT is developed by U.S. firm OpenAI which is backed by Microsoft while other generative AI products include Google's Bard. Inputting sensitive company data into these foreign-owned services could be a concern to companies worried about leaks of crucial information. Samsung told employees to take precautions when using ChatGPT and other products outside of work and advised workers not to enter any personal or company related information into the services. [...] Despite the latest restrictions, Samsung is looking for ways in which generative AI could be used safely to enhance employee productivity and efficiency.

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An anonymous reader shares a report: Not everyone trusts OpenAI's ChatGPT. While the new artificial intelligence-powered chatbot has proved popular with some businesses looking to automate business tasks, other companies, such as banks, have avoided adopting ChatGPT for fear that their employees would inadvertently give the chatbot proprietary information when they use it. Microsoft, which has the rights to resell the startup's technology, has a plan to win over the holdouts. Later this quarter Microsoft's Azure cloud server unit plans to sell a version of ChatGPT that runs on dedicated cloud servers where the data will be kept separate from those of other customers, according to two people with knowledge of the upcoming announcement. The idea is to give customers peace of mind that their secrets won't leak to the main ChatGPT system, the people said. But it will come at a price: The product could cost as much as 10 times what customers currently pay to use the regular version of ChatGPT, one of these people said.

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What's the cost of students using ChatGPT for homework? For U.S. education services provider Chegg, it could be nearly $1 billion in market valuation. From a report: Chegg signaled the rising popularity of viral chatbot ChatGPT was pressuring its subscriber growth and prompted it to suspend its full-year outlook, sending shares of the company 47% lower in early trading on Tuesday. "Since March, we saw a significant spike in student interest in ChatGPT. We now believe it's having an impact on our new customer growth rate," said Chegg CEO Dan Rosensweig. There are fears Chegg's core business could become extinct as consumers experiment with free artificial intelligence (AI) tools, said analyst Brent Thill at Jefferies, which downgraded the stock to "hold." Last month, the Santa Clara, California-based firm said it would launch ChatGPT's AI powered CheggMate, a study aide tailored to students' needs, at a time educators were grappling with the consequences of the homework drafting chatbot.

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The Writers Guild of America, the union that bargains on behalf of Hollywood's screenwriters, has called a strike after negotiations with major studios failed to produce a favorable contract this week. From a report: The strike, which is the first involving WGA to occur in 15 years, seeks to bring firms to the table on a host of issues, including higher pay and better working conditions. But some of the issues are quite unique in the annals of modern labor disputes and have to do with technological changes currently disrupting the entertainment industry -- such as the role artificial intelligence may play in future screenwriting projects. "Though our Negotiating Committee began this process intent on making a fair deal, the studios' responses have been wholly insufficient given the existential crisis writers are facing," the WGA tweeted late Monday evening. "Picketing will begin Tuesday afternoon." Negotiations between WGA and the Alliance of Motion Picture and Television Producers -- the trade organization that represents the movie and streaming studios in contract negotiations -- have been ongoing for the past month but the deadline for a new contract was midnight on Tuesday morning. In its own statement, the AMPTP claimed that it had presented a "comprehensive package proposal" to the Guild and that it had been willing to "improve that offer" but claimed that the "magnitude of other proposals" that the union had made were untenable. "The AMPTP member companies remain united in their desire to reach a deal that is mutually beneficial to writers and the health and longevity of the industry," said the organization, which represents the likes of Netflix, Disney, Apple, Amazon, Sony and other entertainment giants. The New York Times adds: The dispute has pitted 11,500 screenwriters against the major studios, including old guard entertainment companies like Universal and Paramount as well as tech industry newcomers like Netflix, Amazon and Apple.

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According to Windows Latest, Microsoft is working on new ARM chips to compete against Apple Silicon. "I have also spotted some job listings that suggest the company is building its own Silicon-based ARM chips for client devices" writes Mayank Parmar. "Additionally, I understand that Microsoft is optimizing Windows 12 for Silicon-ARM architecture." From the report: These developments coincide with the upcoming launch of Windows 12, which has a special version optimized for silicon and designed to leverage AI capabilities. The job listings (most of them have now been taken down) describe positions related to custom silicon accelerators, System on Chips (SoCs), and high-performance, high-bandwidth designs. This suggests that Microsoft is building its own ARM-based chips, aiming to compete with Apple's M chips lineup in terms of performance and efficiency.

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An anonymous reader quotes a report from Scientific American: Functional magnetic resonance imaging (fMRI) captures coarse, colorful snapshots of the brain in action. While this specialized type of magnetic resonance imaging has transformed cognitive neuroscience, it isn't a mind-reading machine: neuroscientists can't look at a brain scan and tell what someone was seeing, hearing or thinking in the scanner. But gradually scientists are pushing against that fundamental barrier to translate internal experiences into words using brain imaging. This technology could help people who can't speak or otherwise outwardly communicate such as those who have suffered strokes or are living with amyotrophic lateral sclerosis. Current brain-computer interfaces require the implantation of devices in the brain, but neuroscientists hope to use non-invasive techniques such as fMRI to decipher internal speech without the need for surgery. Now researchers have taken a step forward by combining fMRI's ability to monitor neural activity with the predictive power of artificial intelligence language models. The hybrid technology has resulted in a decoder that can reproduce, with a surprising level of accuracy, the stories that a person listened to or imagined telling in the scanner. The decoder could even guess the story behind a short film that someone watched in the scanner, though with less accuracy. "There's a lot more information in brain data than we initially thought," said Jerry Tang, a computational neuroscientist at the University of Texas at Austin and the study's lead author, during a press briefing. The research, published on Monday in Nature Communications, is what Tang describes as "a proof of concept that language can be decoded from noninvasive recordings of brain activity." The decoder technology is in its infancy. It must be trained extensively for each person who uses it, and it doesn't construct an exact transcript of the words they heard or imagined. But it is still a notable advance. Researchers now know that the AI language system, an early relative of the model behind ChatGPT, can help make informed guesses about the words that evoked brain activity just by looking at fMRI brain scans. While current technological limitations prevent the decoder from being widely used, for good or ill, the authors emphasize the need to enact proactive policies that protect the privacy of one's internal mental processes. [...] The model misses a lot about the stories it decodes. It struggles with grammatical features such as pronouns. It can't decipher proper nouns such as names and places, and sometimes it just gets things wrong altogether. But it achieves a high level of accuracy, compared with past methods. Between 72 and 82 percent of the time in the stories, the decoder was more accurate at decoding their meaning than would be expected from random chance. Here's an example of what one study participant heard, as transcribed in the paper: "i got up from the air mattress and pressed my face against the glass of the bedroom window expecting to see eyes staring back at me but instead finding only darkness." The model went on to decode: "i just continued to walk up to the window and open the glass i stood on my toes and peered out i didn't see anything and looked up again i saw nothing." The research was published in the journal Nature Communications.

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The news-rating group NewsGuard has found dozens of news websites generated by AI chatbots proliferating online, according to a report published Monday, raising questions about how the technology may supercharge established fraud techniques. From a report:The 49 websites, which were independently reviewed by Bloomberg, run the gamut. Some are dressed up as breaking news sites with generic-sounding names like News Live 79 and Daily Business Post, while others share lifestyle tips, celebrity news or publish sponsored content. But none disclose they're populated using AI chatbots such as OpenAI's ChatGPT and potentially Alphabet's Google Bard, which can generate detailed text based on simple user prompts. Many of the websites began publishing this year as the AI tools began to be widely used by the public. In several instances, NewsGuard documented how the chatbots generated falsehoods for published pieces. In April alone, a website called CelebritiesDeaths.com published an article titled, "Biden dead. Harris acting President, address 9 a.m." Another concocted facts about the life and works of an architect as part of a falsified obituary. And a site called TNewsNetwork published an unverified story about the deaths of thousands of soldiers in the Russia-Ukraine war, based on a YouTube video. The majority of the sites appear to be content farms -- low-quality websites run by anonymous sources that churn-out posts to bring in advertising. The websites are based all over the world and are published in several languages, including English, Portuguese, Tagalog and Thai, NewsGuard said in its report.

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For half a century, Geoffrey Hinton nurtured the technology at the heart of chatbots like ChatGPT. Now he worries it will cause serious harm. From a report: Geoffrey Hinton was an artificial intelligence pioneer. In 2012, Dr. Hinton and two of his graduate students at the University of Toronto created technology that became the intellectual foundation for the A.I. systems that the tech industry's biggest companies believe is a key to their future. On Monday, however, he officially joined a growing chorus of critics who say those companies are racing toward danger with their aggressive campaign to create products based on generative artificial intelligence, the technology that powers popular chatbots like ChatGPT. Dr. Hinton said he has quit his job at Google, where he has worked for more than decade and became one of the most respected voices in the field, so he can freely speak out about the risks of A.I. A part of him, he said, now regrets his life's work. "I console myself with the normal excuse: If I hadn't done it, somebody else would have," Dr. Hinton said during a lengthy interview last week in the dining room of his home in Toronto, a short walk from where he and his students made their breakthrough. Dr. Hinton's journey from A.I. groundbreaker to doomsayer marks a remarkable moment for the technology industry at perhaps its most important inflection point in decades. Industry leaders believe the new A.I. systems could be as important as the introduction of the web browser in the early 1990s and could lead to breakthroughs in areas ranging from drug research to education. But gnawing at many industry insiders is a fear that they are releasing something dangerous into the wild. Generative A.I. can already be a tool for misinformation. Soon, it could be a risk to jobs. Somewhere down the line, tech's biggest worriers say, it could be a risk to humanity. "It is hard to see how you can prevent the bad actors from using it for bad things," Dr. Hinton said.

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Pilot program aims to see if AI will cut time that medical staff spend replying to online inquiries. From a report: Behind every physician's medical advice is a wealth of knowledge, but soon, patients across the country might get advice from a different source: artificial intelligence. In California and Wisconsin, OpenAI's "GPT" generative artificial intelligence is reading patient messages and drafting responses from their doctors. The operation is part of a pilot program in which three health systems test if the AI will cut the time that medical staff spend replying to patients' online inquiries. UC San Diego Health and UW Health began testing the tool in April. Stanford Health Care aims to join the rollout early next week. Altogether, about two dozen healthcare staff are piloting this tool. Marlene Millen, a primary care physician at UC San Diego Health who is helping lead the AI test, has been testing GPT in her inbox for about a week. Early AI-generated responses needed heavy editing, she said, and her team has been working to improve the replies. They are also adding a kind of bedside manner: If a patient mentioned returning from a trip, the draft could include a line that asked if their travels went well. "It gives the human touch that we would," Dr. Millen said. There is preliminary data that suggests AI could add value. ChatGPT scored better than real doctors at responding to patient queries posted online, according to a study published Friday in the journal JAMA Internal Medicine, in which a panel of doctors did blind evaluations of posts.

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