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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

Google is trialling artificial intelligence (AI) in Manchester’s traffic light system to reduce stop-and-go emissions and improve the flow of vehicles. The technology giant announced the UK launch of its Project Green Light on Tuesday, working alongside Transport for Great Manchester (TfGM) to run the pilot. It coincides with Google hosting a major sustainability event in Brussels, where the firm will outline the innovations it has been working on across high-emission industries like transport and energy, including how it is using AI for climate solutions. The company said it found that half of emissions at traffic intersections come from vehicles stopping and starting. To help reduce these emissions, Google’s Green Light research initiative uses AI as well as driving trends from Google Maps to model traffic patterns and make recommendations for making the existing traffic light plans more efficient. Google said city engineers can implement these plans in as little as five minutes using existing infrastructure. The Green Light programme is live at 70 junctions across 12 cities, including Haifa in Israel, Rio de Janeiro in Brazil and Bangalore in India. Early data from those cities indicate a potential for up to 30% reduction in stops and up to 10% reduction in emissions at junctions, Google said. Manchester, the first UK city to host the pilot, has around 2,400 traffic signals and sees millions of journeys each week. Debbie Weinstein, Google UK managing director and vice president, said: “AI is the most profound technology that we’re working on today, with the potential to boost the UK’s productivity and support net zero ambitions. “That’s why we’re excited to be partnering with Transport for Greater Manchester to pilot Project Green Light here in the UK. Our aim is to make the network run as efficiently as possible and we look forward to seeing how we can use what we’ve learnt from this pilot to improve journey times for all road users David Atkin, Traffic for Greater Manchester “Already, this early stage AI-powered tool uses existing infrastructure to provide city planners with a cost-effective and efficient way to improve traffic flow, reduce stop-and-go traffic and cut emissions. “We look forward to partnering with more organisations across the country to help drive innovative solutions that unlock the benefits of AI.” David Atkin, TfGM’s analysis and reporting manager, said Greater Manchester’s road network is “complex”, adding that the needs of motorists, cyclists, pedestrians and public transport users need to be balanced. “With traffic levels now at or beyond pre-pandemic levels, we are working really hard to tackle congestion and are delighted to be amongst the first areas in the world – and the first in the UK – to work with Google on the innovative Green Light initiative,” he said. “The pilot provided valuable insights and teams from both Green Light and TfGM brought expertise and ideas to the table to improve journeys by up to 18% and reduce emissions. “Our aim is to make the network run as efficiently as possible and we look forward to seeing how we can use what we’ve learnt from this pilot to improve journey times for all road users.” Read More Broadband customers face £150 hikes because of ‘outrageous’ rises – Which? Rise of AI chatbots ‘worrying’ after man urged to kill Queen, psychologist warns William hails ‘amazing’ eco-friendly start-up businesses Royal website subject to ‘denial of service attack’, royal source says TikTok finds and shuts down secret operation to stir up conflict in Ireland Viral WhatsApp warning of cyberattack targeting Jewish people is fake

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