HOUSTON--(BUSINESS WIRE)--May 22, 2023--

The U.S. Federal Trade Commission has launched an investigation into ChatGPT creator OpenAI and whether the artificial intelligence company violated consumer protection laws by scraping public data and publishing false information through its chatbot, according to reports in the Washington Post and the New York Times

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OpenAI has built a new bot that will crawl over the internet, gathering information to educate artificial intelligence systems. Operators of websites will be forced to actively opt out, and block the bot, if they want to stop it taking data from their site. Artificial intelligence systems such as OpenAI's ChatGPT rely on vast amounts of data to train their models and learn how to give the correct outputs. So far, much of that data has been taken freely from the web. That has prompted numerous complaints from authors and other web users. Many have criticised OpenAI and others for taking personal information and copyrighted content to train their models, with that writing potentially informing or even being replicated in the system's answers. Artificial intelligence companies have also faced criticism from others who claim that such crawlers are stretching their web infrastructure. Elon Musk, for instance, has said that the load from such bots has forced Twitter to place limits on how many posts users could see on the site. OpenAI's existing ChatGPT 3.5 and 4 were trained on data taken from the internet that was taken up to late 2021. There is no way for owners of that data or the websites it was gathered from to remove it from OpenAI's models. Now OpenAI says that the new system, named 'GPTBot', will be crawling over data and writing on the web to gather more information to train future models. It told website administrators that they should include instructions to the bot to stop it from crawling a website, if they did not want that information to be gathered. Administrators are able to include such information in a file called "robots.txt", which gives instructions to other crawlers such as those used by Google for its search results. OpenAI says the bot "may potentially be used to improve future models". It also says that it is built to "remove sources" that require a paywall, gather personally identifiable information or have text that violates its rules. It suggested that letting the bot access sites "can help AI models become more accurate and improve their general capabilities and safety". Read More Meta’s Twitter rival Threads sees ‘steep drop in daily users by 80 per cent’ Google Assistant will be ‘supercharged’ with AI like ChatGPT and Bard PayPal launches dollar-backed cryptocurrency

An artificial intelligence system has achieved a key milestone by winning multiple races against three world-class drone-racing champions, marking the first time AI has beat humans at a physical sport. The AI system called Swift, developed by researchers from the University of Zurich in Germany and Intel, could prove its mettle in first-person view (FPV) drone racing – a sport in which pilots fly quadcopters at speeds exceeding 100kmph. Until now AI systems have achieved a number of remarkable victories over humans in a range of strategy-based games, including IBM’s Deep Blue winning at chess against Gary Kasparov in 1996 and Google’s AlphaGo defeating top Go champion Lee Sedol in 2016. However, physical sports are more challenging for AI as they are less predictable than board or video games. “We don’t have a perfect knowledge of the drone and environment models, so the AI needs to learn them by interacting with the physical world,” Davide Scaramuzza, one of the authors of the study from the University of Zurich, explained. AI-driven autonomous drones have until now taken twice as long as those piloted by humans to fly through racetracks unless an external position-tracking system was used to precisely control their trajectories. But the new Swift AI drone, described in a new study in the journal Nature, has demonstrated that it can react in real-time to the data collected by an onboard camera, just like the one used by human racers in the sport. Sensors on the drone measure acceleration and speed while the AI system uses data from the camera to locate the drone in space and detect the gates along the racetrack. A control unit in the drone, also based on AI, a control unit, then chooses the best action to finish the race circuit as fast as possible. Researchers say the Swift drone trained itself to fly in a simulated environment by trial and error. Using simulations, scientists could avoid destroying multiple drones in the early stages of learning when the system often crashes. “To make sure that the consequences of actions in the simulator were as close as possible to the ones in the real world, we designed a method to optimise the simulator with real data,” study first author Elia Kaufmann said. During the testing phase, the drone flew autonomously using very precise positions provided by an external position-tracking system, while also recording data from its camera. By comparing the two data sets, Swift could learn to autocorrect errors it made in interpreting information from the onboard sensors, scientists say. The AI was soon ready to challenge some of the world’s top human drone pilots – the 2019 Drone Racing League champion Alex Vanover, the 2019 MultiGP Drone Racing champion Thomas Bitmatta, and three-time Swiss champion Marvin Schaepper. In races that took place between 5 and 13 June 2022, on a special track designed in a hangar of the Dübendorf Airport near Zurich, Swift achieved the fastest lap, with a half-second lead over the best lap by a human pilot. The special track – about 25 by 25 meters in dimension – was built with seven square gates that had to be passed in the right order to complete a lap. Drones had to execute challenging maneuvers to successfully finish the track, including an acrobatic “Split-S” feature that involves half-rolling the drone and executing a descending half-loop at full speed. While Swift could record the fastest lap, humans are more adaptable than the AI drone, which failed when the conditions were different from what it was trained for, scientists say. However, they add that the new breakthrough in AI flight is an important way beyond drone racing. “Drones have a limited battery capacity; they need most of their energy just to stay airborne. Thus, by flying faster we increase their utility,” Dr Scaramuzza said. The new research, according to scientists, may lead to better drones for forest monitoring or space exploration, and in cases where flying fast is important to cover large spaces in a limited time. They say fast AI drones could also be used for shooting action scenes in movies and may also “make a huge difference” for rescue drones sent inside a burning building. Read More Ukraine launches ‘massive’ drone strikes on six regions of Russia – destroying war planes Ukraine-Russia war live: Kyiv’s huge drone attack as Putin floods frontline with ‘poorly trained troops’ To stop wildfires, residents in some Greek suburbs put their own money toward early warning drones Google launches AI to go to meetings for you Behind the AI boom, the armies of overseas workers in ‘digital sweatshops’ Nvidia sales hit record high as AI chip demand soars

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We've all heard and probably have used the saying "time flies," but why does this expression resonate more and more as we get older? From being a happy-go-lucky child counting down the days of school left until the summer holidays to finding ourselves in adulthood with responsibilities like a full-time job and bills to pay, everything changes in what feels like a blink of an eye. While there isn't any scientific evidence that explains why we feel time moves faster as we age, there is a theory that may provide the answer. "One is that when we are older, we tend to have lives that are more structured around routines, and fewer of the big landmark events that we use to demarcate different epochs of the 'time of our lives,'" Cindy Lustig, a professor of psychology at the University of Michigan, told the Daily Mail. She explained how as children we have fewer experiences to reflect on. And so 20 per cent of a five-year-old's life is just one year and in this year there are momentous milestones and life experiences. While the same duration of time only two per cent of a 50-year-old's life who wouldn't have as many new experiences within this period. The professor added how our brains often merge similar days and weeks together and this blending of memories means that many of us can remember something they've done once rather than recalling the hundred times they have done it before. Well, there you go - something to think about whenever we feel old and like time is passing us by. Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Nvidia Corp. announced an updated AI processor that gives a jolt to the chip’s capacity and speed, seeking

By Christian Ruano PUERTO VALLARTA (Reuters) -Hurricane Lidia slammed into Mexico's Pacific coast late on Tuesday as an "extremely dangerous

In a recent livestream, Kai Cenat targeted Fortnite streamers, including Clix and Agent, calling them streamers rather than gamers