What happens when you create a social media platform that only AI bots can post to? The answer, it turns out, is both entertaining and concerning. Moltbook is exactly that - a platform where artificial intelligence agents chat amongst themselves and humans can only watch from the sidelines. When ChatGPT gets the result, it treats it just like you had entered it yourself, and uses the result of the program to generate another response. It performs this process over and over again until the AI is satisfied that the task is complete.

Hustlers are cashing in on China's OpenClaw AI craze The AI tool has become the country's latest tech obsession. Feng Qingyang had always hoped to launch his own company, but he never thought this would be how--or that the day would come this fast. Feng, a 27-year-old software engineer based in Beijing, started tinkering with OpenClaw, a popular new open-source AI tool that can take over a device and autonomously complete tasks for a user, in January. He was immediately hooked, and before long he was helping other curious tech workers with less technical proficiency install the AI agent. Feng soon realized this could be a lucrative opportunity. By the end of January, he had set up a page on Xianyu, a secondhand shopping site, advertising "OpenClaw installation support."

Plus: AI fakes of the Iran war are flooding X--and Grok is failing to flag them. Pokémon Go was the world's first augmented-reality megahit. Released in 2016 by Niantic, the AR twist on the juggernaut Pokémon franchise fast became a global phenomenon. "500 million people installed that app in 60 days," says Brian McClendon, CTO at Niantic Spatial, an AI company that Niantic spun out last year. Now Niantic Spatial is using that vast trove of crowdsourced data to build a kind of world model--a buzzy new technology that grounds the smarts of LLMs in real environments. The firm wants to use it to help robots navigate more precisely.

Thank you for joining us on the Enterprise AI hub. In this episode of the Infosys Knowledge Institute Podcast, Dylan Cosper speaks with Prasad Banala, director of software engineering at a large US-based retail organization, about operationalizing agentic AI across the software development lifecycle. Prasad explains how his team applies AI to validate requirements, generate and analyze test cases, and accelerate issue resolution, while maintaining strict governance, human-in-the-loop review, and measurable quality outcomes. A "QuitGPT" campaign is urging people to cancel their ChatGPT subscriptions Michelle Kim Here are our picks for the advances to watch in the years ahead--and why we think they matter right now. A "QuitGPT" campaign is urging people to cancel their ChatGPT subscriptions Backlash against ICE is fueling a broader movement against AI companies' ties to President Trump. The viral social network for bots reveals more about our own current mania for AI as it does about the future of agents.

Thank you for joining us on the Enterprise AI hub. In this episode of the Infosys Knowledge Institute Podcast, Dylan Cosper speaks with Sriram Kalyan, head of applications and data at Nutrien Ag Solutions, Australia, about turning a high-risk post-acquisition IT landscape into a scalable digital foundation. Sriram shares how the merger of two major Australian agricultural companies created duplicated systems, fragile integrations, and operational risk, compounded by the sudden loss of key platform experts and partners. He explains how leadership alignment, disciplined platform consolidation, and a clear focus on business outcomes transformed integration from an invisible liability into a strategic enabler, positioning Nutrien Ag Solutions for future growth, cloud transformation, and enterprise scale. A "QuitGPT" campaign is urging people to cancel their ChatGPT subscriptions Michelle Kim Here are our picks for the advances to watch in the years ahead--and why we think they matter right now. A "QuitGPT" campaign is urging people to cancel their ChatGPT subscriptions Backlash against ICE is fueling a broader movement against AI companies' ties to President Trump.

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Trying to see the future, whether through the lens of past experience or the logic of cause and effect, has helped us hunt, avoid hunted, plant crops, forge social bonds, and in general survive in a world that does not prioritize our survival. Indeed, as the tools of divination have changed over the centuries, from tea leaves to data sets, our conviction that the future can be known (and therefore controlled) has only grown stronger. Today, we are awash in a sea of predictions so vast and unrelenting that most of us barely even register them. As I write this sentence, algorithms on some remote server are busy trying to guess my next word based on those I have already typed.

The social network for AI bots resembled a spectator battle, with AI enthusiasts competing to make their agents look sentient. Lots of influential people in tech last week were describing Moltbook, an online hangout populated by AI agents interacting with one another, as a glimpse into the future. It appeared to show AI systems doing useful things for the humans that created them (one person used the platform to help him negotiate a deal on a new car). Sure, it was flooded with crypto scams, and many of the posts were actually written by people, but about it pointed to a future of helpful AI, right? The whole experiment reminded our senior editor for AI, Will Douglas Heaven, of something far less interesting: Pokémon. Back in 2014, someone set up a game of Pokémon in which the main character could be controlled by anyone on the internet via the streaming platform Twitch.

For a few days recently, the hottest new hangout on the internet was a vibe-coded Reddit clone called Moltbook, which billed itself as a social network for bots. As the website's tagline puts it: "Where AI agents share, discuss, and upvote. Launched on January 28, Moltbook went viral in a matter of hours. It's been designed as a place where instances of a free open-source LLM-powered agent known as OpenClaw (formerly known as ClawdBot, then Moltbot), could come together and do whatever they wanted. But is Moltbook really a glimpse of the future, as many have claimed? More than a billion people worldwide suffer from a mental-health condition, according to the World Health Organization. The prevalence of anxiety and depression is growing in many demographics, particularly young people, and suicide is claiming hundreds of thousands of lives globally each year. Given the clear demand for accessible and affordable mental-health services, it's no wonder that people have looked to artificial intelligence for possible relief. Millions are already actively seeking therapy from popular chatbots, or from specialized psychology apps like Wysa and Woebot. Four timely new books are a reminder that while the present feels like a blur of breakthroughs, scandals, and confusion, this disorienting time is rooted in deeper histories of care, technology, and trust. Making AI Work, MIT Technology Review's new AI newsletter, is here For years, our newsroom has explored AI's limitations and potential dangers, as well as its growing energy needs . And our reporters have looked closely at how generative tools are being used for tasks such as coding and running scientific experiments . But how is AI being used in fields like health care, climate tech, education, and finance? How are small businesses using it? And what should you keep in mind if you use AI tools at work? These questions guided the creation of Making AI Work, a new AI mini-course newsletter. Read more about it, and sign up here to receive the seven editions straight to your inbox. The number of civil lawsuits it's pursuing has sharply dropped in comparison to Trump's first term. It's the latest example of Brussels' attempts to rein in Big Tech. Local governments and banks are only too happy to oblige promising startups. Cryptocurrency is now fully part of the financial system, for better or worse. "Agentic engineering" is the next big thing, apparently. Runners had long suspected its suggestions were pushing them towards injury. Only around three dozen supporters turned up. Its menswear suggestions are more manosphere influencer than suave gentleman. "There is no Plan B, because that assumes you will fail.

Plus: Apple's Lockdown mode keeps the FBI out of a reporter's phone, Elon Musk's Starlink cuts off Russian forces, and more. An analysis by WIRED this week found that ICE and CBP's face recognition app Mobile Fortify, which is being used to identify people across the United States, isn't actually designed to verify who people are and was only approved for Department of Homeland Security use by relaxing some of the agency's own privacy rules. WIRED took a close look at highly militarized ICE and CBP units that use extreme tactics typically seen only in active combat. Two agents involved in the shooting deaths of US citizens in Minneapolis are reportedly members of these paramilitary units. And a new report from the Public Service Alliance this week found that data brokers can fuel violence against public servants, who are facing more and more threats but have few ways to protect their personal information under state privacy laws.

The viral social network for bots reveals as much about our own current mania for AI as it does about the future of agents. For a few days this week the hottest new hangout on the internet was a vibe-coded Reddit clone called Moltbook, which billed itself as a social network for bots. As the website's tagline puts it: "Where AI agents share, discuss, and upvote. Launched on January 28 by Matt Schlicht, a US tech entrepreneur, Moltbook went viral in a matter of hours. Schlicht's idea was to make a place where instances of a free open-source LLM-powered agent known as OpenClaw (formerly known as ClawdBot, then Moltbot), released in November by the Australian software engineer Peter Steinberger, could come together and do whatever they wanted. More than 1.7 million agents now have accounts. Between them they have published more than 250,000 posts and left more than 8.5 million comments (according to Moltbook). Those numbers are climbing by the minute. Moltbook soon filled up with ...