The promise of autonomous agentic AI requires significant changes in the governance landscape. Parents of young children face a lot of fears about developmental milestones, from infancy through adulthood. The number of months it takes a baby to learn to talk or walk is often used as a benchmark for wellness, or an indicator of additional tests needed to properly diagnose a potential health condition. A parent rejoices over the child's first steps and then realizes how much has changed when the child can quickly walk outside, instead of slowly crawling in a safe area inside. Suddenly safety, including childproofing, takes a completely different lens and approach. Generative AI hit toddlerhood between December 2025 and January 2026 with the introduction of no code tools from multiple vendors and the debut of OpenClaw, an open source personal agent posted on GitHub.

In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance. The impact of artificial intelligence extends far beyond the digital world and into our everyday lives, across the cars we drive, the appliances in our homes, and medical devices that keep people alive. More and more, product engineers are turning to AI to enhance, validate, and streamline the design of the items that furnish our worlds. The use of AI in product engineering follows a disciplined and pragmatic trajectory. A significant majority of engineering organizations are increasing their AI investment, according to our survey, but they are doing so in a measured way. This approach reflects the priorities typical of product engineers.

Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players. Pokémon Go was the world's first augmented-reality megahit. Released in 2016 by the Google spinout Niantic, the AR twist on the juggernaut Pokémon franchise fast became a global phenomenon. From Chicago to Oslo to Enoshima, players hit the streets in the urgent hope of catching a Jigglypuff or a Squirtle or (with a huge amount of luck) an ultra-rare Galarian Zapdos hovering just out of reach, superimposed on the everyday world. "Five hundred million people installed that app in 60 days," says Brian McClendon, CTO at Niantic Spatial, an AI company that Niantic spun out in May last year. According to the video-game firm Scopely, which bought Pokémon Go from Niantic at the same time, the game still drew more than 100 million players in 2024, eight years after it launched.

Plus: Trump has climbed down from his plan for the US to take Greenland. Yann LeCun's new venture is a contrarian bet against large language models Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry's current obsession with large language models is wrong-headed and will ultimately fail to solve many pressing problems. Instead, he thinks we should be betting on world models--a different type of AI that accurately reflects the dynamics of the real world. Perhaps it's no surprise, then, that he recently left Meta, where he had served as chief scientist for FAIR (Fundamental AI Research), the company's influential research lab that he founded. LeCun sat down with MIT Technology Review in an exclusive online interview from his Paris apartment to discuss his new venture, life after Meta, the future of artificial intelligence, and why he thinks the industry is chasing the wrong ideas.

President Donald Trump on Tuesday announced a 500 billion joint venture between OpenAI, Softbank, MGX and Oracle to build new datacenters to power the next wave of artificial intelligence (AI) – in an early signal that his Administration would embrace the technology. The plans, which predate the Trump Administration and involve no U.S. government funds, would result in the construction of large datacenters on U.S. soil containing thousands of advanced computer chips required to train new AI systems. "We want to keep it in this country; China's a competitor," Trump said of AI. "I'm going to help a lot through emergency declarations – we have an emergency, we have to get this stuff built." The message echoed recent talking points by the heads of AI companies like Sam Altman of OpenAI, who flanked him during the White House announcement. Altman has argued more vocally in recent months that the U.S. must race to build the energy and datacenter infrastructure in order to create powerful AI before China.

Ilya Sutskever, a co-founder and former chief scientist of OpenAI, announced on Wednesday that he's launching a new venture dubbed Safe Superintelligence Inc. Sutskever said on X that the new lab will focus solely on building a safe "superintelligence"--an industry term for a hypothetical system that's smarter than humans. Sutskever is joined at Safe SuperIntelligence Inc. by co-founders Daniel Gross, an investor and engineer who worked on AI at Apple till 2017, and Daniel Levy, another former OpenAI employee. The new American-based firm will have offices in Palo Alto, Calif., and Tel Aviv, according to a description Sutskever shared. I am starting a new company: https://t.co/BG3K3SI3A1 Sutskever was one of OpenAI's founding members, and was chief scientist during the company's meteoric rise following the release of ChatGPT.

We can all join a raid and have the same goal and accomplish that together. And we can all do that together. Imagine if we could do that in real life. Imagine what we would be able to do if we could connect people across all these different categories. You know, it's hard to imagine these days now in the U.S. when you see how divided everything is, but imagine if we could all do that -- instead of working towards killing a raid boss, we're solving something even deeper for society.

Super League Gaming, the global leader in competitive amateur gaming, announced a historic new partnership with Wanda Cinemas Games, a subsidiary of Chinese media conglomerate Wanda Media. The new alliance will initially bring live, competitive gaming experiences to Wanda's 700 owned and operated theaters in multiple cities across China, with more activations to be announced in the future. With this significant new venture, Super League greatly expands their reach into the world's biggest market of 1.2 billion gamers -- more than the entire population of the United States. "This accretive partnership was a strategic imperative for Super League," says Ann Hand, chairman and CEO of Super League Gaming. "Joining forces with Wanda, the world's biggest entertainment provider, to bring quality play, events, and content to those passionate players transforms the size of our servable market. We are honored to be partnered with Wanda as we bring Super League to the Asian market."

Super League Gaming, the global leader in competitive amateur gaming, announced a historic new partnership with Wanda Cinemas Games, a subsidiary of Chinese media conglomerate Wanda Media. The new alliance will initially bring live, competitive gaming experiences to Wanda's 700 owned and operated theaters in multiple cities across China, with more activations to be announced in the future. With this significant new venture, Super League greatly expands their reach into the world's biggest market of 1.2 billion gamers -- more than the entire population of the United States. "This accretive partnership was a strategic imperative for Super League," says Ann Hand, chairman and CEO of Super League Gaming. "Joining forces with Wanda, the world's biggest entertainment provider, to bring quality play, events, and content to those passionate players transforms the size of our servable market. We are honored to be partnered with Wanda as we bring Super League to the Asian market."

Nov 04, 2019 (Investing Alerts) -- Artificial Intelligence (AI) has been a game changer for global businesses, opening doors to innumerable possibilities. With the integration of AI in businesses, the global economy is expected to grow exponentially in the coming years. Although the introduction of AI into business strategies is considered a revolutionary idea, what most business executives struggle with is the proper application of AI throughout their organization in such a way that it generates maximum ROI and value. This gives rise of several questions, "How do we educate our staff about AIs? How can we acquire AI-trained employees? What is the most suitable AI strategy for our business? How do we certify our AI is trustworthy? Will there be new privacy and cybersecurity threats to deal with?".