OpenAI researchers warned about a potentially dangerous artificial intelligence discovery ahead of CEO Sam Altman being ousted from the company, according to reports. Several staff members of the AI firm wrote a letter to the board of directors detailing the algorithm, two people familiar with the matter told Reuters. The disclosure was reportedly a key development in the build up to Mr Altman’s dismissal. Prior to his return late Tuesday, more than 700 employees had threatened to quit and join backer Microsoft in solidarity with their fired leader. The sources cited the letter as one factor among a longer list of grievances by the board leading to Altman’s firing, among which were concerns over commercialising advances before understanding the consequences. The staff who wrote the letter did not respond to requests for comment and Reuters was unable to review a copy of the letter. OpenAI declined to comment on the letter but acknowledged in an internal message to staffers a project called Q* and a letter to the board before the weekend’s events, one of the people said. An OpenAI spokesperson said that the message, sent by long-time executive Mira Murati, alerted staff to certain media stories without commenting on their accuracy. Some at OpenAI believe Q* (pronounced Q-Star) could be a breakthrough in the startup’s search for what’s known as artificial general intelligence (AGI), one of the people told Reuters. OpenAI defines AGI as autonomous systems that surpass humans in most economically valuable tasks. Given vast computing resources, the new model was able to solve certain mathematical problems, the person said on condition of anonymity because the individual was not authorised to speak on behalf of the company. Though only performing maths on the level of grade-school students, acing such tests made researchers very optimistic about Q*’s future success, the source said. Reuters could not independently verify the capabilities of Q* claimed by the researchers. Researchers consider maths to be a frontier of generative AI development. Currently, generative AI is good at writing and language translation by statistically predicting the next word, and answers to the same question can vary widely. But conquering the ability to do mathematics where there is only one right answer implies AI would have greater reasoning capabilities resembling human intelligence. This could be applied to novel scientific research, for instance, AI researchers believe. Unlike a calculator that can solve a limited number of operations, AGI can generalize, learn and comprehend. In their letter to the board, researchers flagged AI’s prowess and potential danger, the sources said without specifying the exact safety concerns noted in the letter. There has long been discussion among computer scientists about the danger posed by highly intelligent machines, for instance if they might decide that the destruction of humanity was in their interest. Researchers have also flagged work by an “AI scientist” team, the existence of which multiple sources confirmed. The group, formed by combining earlier “Code Gen” and “Math Gen” teams, was exploring how to optimise existing AI models to improve their reasoning and eventually perform scientific work, one of the people said. Altman led efforts to make ChatGPT one of the fastest growing software applications in history and drew investment – and computing resources – necessary from Microsoft to get closer to AGI. In addition to announcing a slew of new tools in a demonstration this month, Altman last week teased at a summit of world leaders in San Francisco that he believed major advances were in sight. “Four times now in the history of OpenAI, the most recent time was just in the last couple weeks, I’ve gotten to be in the room, when we sort of push the veil of ignorance back and the frontier of discovery forward, and getting to do that is the professional honor of a lifetime,” he said at the Asia-Pacific Economic Cooperation summit, a day before he was fired by OpenAI’s board. Additional reporting from agencies. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity YouTube reveals bizarre AI music experiments AI-generated faces are starting to look more real than actual ones One of the world’s most hyped tech products just launched – and made a big mistake

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Peloton has apologised to its customers after technical issues kept them from joining its special Thanksgiving ride. The rides had been held to break the Guinness World Records for the largest live streamed cycling and running classes. But they also had the effect of breaking Peloton’s systems, with riders unable to join the “Turkey Burn” class with instructor Robin Arzón for the first 20 minutes. Peloton’s relatively new chief executive, Barry McCarthy, apologised for the experience on the company’s official Facebook page. “We set out to create an amazing annual Turkey Burn Ride experience, and we let you down,” he wrote on the page. The number of riders “overwhelmed our technical infrastructure”, he said. “I know for many of you, this has become an annual tradition, and we owe you the best possible Member experience,” he wrote. “On behalf of the team, we apologise.” Despite the issues, Peloton was able to set the records for the largest live streamed cycling and running class. The company brought in Guinness World Records officials to verify the count, and were given the record for the ”Most viewers of a static cycling lesson live stream on a Bespoke platform”, as well as for running. The cycling class had 27,550 live participants, a spokesperson said. That was lower than the number that had been seen on the leaderboard, though it is not clear whether the discrepancy was the result of the technical problems. Despite the official recognition, the ride and run is not actually Peloton’s biggest live ride: 2021 and 2020 saw more, with the latter seemingly setting the record at more than 50,000 people, according to Peloton news website Pelobuddy. Peloton saw rapid growth through 2020 and 2021, spurred in large part by the move to work out at home during lockdowns. But it has experienced a number of issues since, including recalls of its bikes and seemingly lower interest as people head back to gyms. It has lost around 80 per cent of its share price value since it was listed towards the end of 2019. And its stock has fallen almost 97 per cent since its record highs in late 2020. Read More HSBC app not working on one of the biggest shopping days of the year Nasa has received a signal from 10 million miles away Bitcoin mining rate hits all-time high amid record-breaking prediction for 2024

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