Pillay is an editorial fellow at TIME. Pillay is an editorial fellow at TIME. Recent AI progress has followed a pattern. Across text, image, audio, and video, once the right technical foundations were discovered, it only took a few years for AI-generated outputs to go from merely passable to indistinguishable from human creation. Although it's early, recent advances suggest that virtual worlds--3D environments you can explore and interact with--could be next.

Jensen Huang, the head of the world's most valuable company Nvidia, says King Charles III personally handed him a copy of a speech he delivered in 2023 that included a warning about the dangers of artificial intelligence. He said, there's something I want to talk to you about. And he handed me a letter, Huang told the BBC, speaking after receiving the 2025 Queen Elizabeth Prize for Engineering in a ceremony at St James's Palace. The letter was a copy of the speech delivered by the King in 2023 at the world's first AI Summit, held at Bletchley Park . In it the monarch said that the risks of AI needed to be tackled with a sense of urgency, unity and collective strength.

Shares of major technology companies have fallen over fears about the valuations of firms linked to the artificial intelligence (AI) industry. Investors have grown increasing wary about what they are calling an AI bubble this year that has seen tech stock valuations hit record highs. Major indexes in Asia were the hardest hit on Wednesday, following a sell-off in the US. Japan's Nikkei 225 closed 2.5%, dragged lower by tech investment giant, SoftBank, which plunged more than 10%. AI valuation concerns took hold in the US as well after it was revealed the trader who inspired The Big Short has bet $1.1bn (£840m) on a fall in prices for AI-related stocks Nvidia and Palantir.

It's not clear that everyone is singing from the same hymn sheet though, meaning the AGM in Austin, Texas is set to become a referendum on Musk himself, after a rightward political turn which has made him one of the most polarising chief executives in recent memory. Musk himself has taken to X - which he owns - to raise the stakes higher still, saying the fate of Tesla could affect the future of civilization. He's also used his social media megaphone to amplify some of the deal's high-profile backers, including Dell Technologies' Michael Dell, Ark Invest CEO Cathie Wood, and his brother, Kimbal, who sits on the Tesla board. There is no one remotely close to my brother, Kimbal said, extolling his sibling's leadership qualities.

AI'godmother' Fei-Fei Li says she is'proud to be different' The'godmother' of AI, Professor Fei-Fei Li has told the BBC that being the only woman amongst seven pioneers of artificial Intelligence being presented with a top engineering prize by the King today makes her proud to be different. The King will present the 2025 Queen Elizabeth Prize for Engineering to Prof Li and six others during a ceremony at St James's Palace. Those honoured alongside her are Prof Yoshua Bengio, Dr Bill Dally, Dr Geoffrey Hinton, Prof John Hopfield, Nvidia founder Jensen Huang and Meta's Chief AI Scientist Dr Yann LeCun. They are being recognised for their contributions to the development of modern machine learning, a field that underpins the rapid advancement of AI. Who are the Godparents of AI? Dr Hinton, Prof Bengio and Yann LeCun, currently Chief AI Scientist at Meta have widely been recognised as the Godfathers of AI since they were jointly awarded the 2018 Turing Award.

In 2006, the U.S. patent office received a filing for "an automatically generated display that contains information relevant to a user about another user of a social network." Rather than forcing people to search through disorganized" content for items of interest, the system would seek to generate a list of "relevant" information in a "preferred order." The listed authors were "Zuckerberg et al." and the product was the News Feed. The platform's recommendation systems were still in their infancy, and as an algorithm, it wasn't much. By 2010, the company was looking beyond the crude system to recommend content based on machine learning and user behavior.

Two things have happened, Li explains. Generative AI has caused the public to wake up to AI technology, she says, because it's behind concrete tools, such as ChatGPT, that people can try out for themselves. And as a result, businesses have realized that AI technology such as text generation can make them money, and they have started rolling these technologies out in more products for the real world. "Because of that, it impacts our world in a more profound way," Li says. Li is one of the tech leaders we interviewed for the latest issue of MIT Technology Review, dedicated to the biggest questions and hardest problems facing the world.

Early in the pandemic, an agent--literary, not software--suggested Fei-Fei Li write a book. She has made an indelible mark on the field of artificial intelligence by heading a project started in 2006 called ImageNet. It classified millions of digital images to form what became a seminal training ground for the AI systems that rock our world today. Li is currently the founding codirector of Stanford's Institute of Human-Centered AI (HAI), whose very name is a plea for cooperation, if not coevolution, between people and intelligent machines. Accepting the agent's challenge, Li spent the lockdown year churning out a draft.

Editor's note: This article was originally published on March 8, 2021. Wired reports a gender bias exists in AI and, in 2018, found that only 12% of AI researchers are women. When I started my career as a Data Analyst, a Data Science engineer position was not widely available in Ukraine. Self-education and getting acquainted with ML algorithms took me some time and a lot of effort. Nowadays, I work as an AI engineer at MobiDev, and the more experience I get, the more willing I am to share my experiences with people in my articles and webinars.

Robots that do everything from helping people get dressed in the morning to washing (and putting away) the dishes have been a dream for as long people have uttered the words "artificial intelligence." But, in a field where the state of the art currently rests far short of that level of sophistication, a fundamental challenge has emerged: Namely, what will "success" even look like, should the day come when robots are able to perform these key tasks to human standards. To do these mundane but surprisingly complex tasks, a robot must be able to perceive, reason, and operate with full awareness of its own physical dimension and capabilities, but also of the world and objects around it. In robotics, this combination of situational and physical awareness and capability is known as embodied AI. Now, a multidisciplinary team of researchers at Stanford University has released the Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments (BEHAVIOR).