Former chancellor George Osborne is joining artificial intelligence (AI) giant OpenAI. He will lead its OpenAI for Countries programme, which is aimed at helping governments increase their AI capacity. Announcing his new London-based role, Osborne said it was a privilege to be joining the company. I recently asked myself the question: what's the most exciting and promising company in the world right now? The answer I believe is OpenAI, he said on X.

Grindr Goes'AI-First' as It Strives to Be an'Everything App for the Gay Guy' After controlling shareholders failed to take Grindr private and controversies over data and the banning of the phrase "No Zionists," Grindr's CEO opens up about AI, privacy, and big expansion plans. Every Grindr user is unique. South Koreans prefer open relationships. The highest percentage of self-proclaimed "daddies" call the US home, and Switzerland is overrun with twinks. Delivered by annual trend report Grindr Unwrapped, those critical insights offer the type of information that will help usher the company into its "AI-first" era where it's "the everything app for the gay guy," CEO George Arison tells WIRED. Grindr was the first to leverage geo-location tech when it burst onto the scene in 2009. Arison arrived at the company in 2022 from the world of automotive ecommerce.

Chrome for Android now uses Google Gemini to convert webpages into podcast-style summaries with virtual hosts for hands-free browsing during commutes.

Plus, there's a new dedicated sidebar with presets and prompt suggestions. ChatGPT is available on both iOS and Android. Following the release of GPT-5.2 last week, OpenAI has begun rolling out a new image generation model . The company says the updated ChatGPT Images is four times faster than its predecessor. If you're a frequent ChatGPT user, you'll know it can sometimes take a while for OpenAI's servers to create images, particularly during peak times and if you're not paying for ChatGPT Plus.

As OpenAI scrambles to improve ChatGPT, it's ditching a feature in its free tier that contributed to last summer's user revolt. OpenAI has quietly reversed a major change to how hundreds of millions of people use ChatGPT . On a low-profile blog that tracks product changes, the company said that it rolled back ChatGPT's model router--an automated system that sends complicated user questions to more advanced "reasoning" models--for users on its Free and $5-a-month Go tiers. Instead, those users will now default to GPT-5.2 Instant, the fastest and cheapest-to-serve version of OpenAI's new model series. Free and Go users will still be able to access reasoning models, but they will have to select them manually.

AI Is Getting Better at Science. Demis Hassabis founded DeepMind to "solve intelligence" and then use that to "solve everything else." Sam Altman promised that "the gains to quality of life from AI driving faster scientific progress will be enormous." Dario Amodei of Anthropic predicted that as soon as 2026, AI progress could produce a "country of geniuses in a data center." Of all the foundational myths driving the AI boom, the hope that AI might help humanity understand the universe is among the most enduring. FrontierScience, a new benchmark published Tuesday by OpenAI, suggests that AI models are advancing toward that goal--and highlights the difficulty of testing models' capabilities as they become ever more competitive with human scientists.

Trust in AI begins when leaders admit what they do not know, address fears, and help people adapt. Rolling out enterprise-grade AI means climbing two steep cliffs at once. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more consequential; fear and ambiguity can stall momentum of even the most promising initiatives. Psychological safety--feeling free to express opinions and take calculated risks without worrying about career repercussions1--is essential for successful AI adoption. In psychologically safe workspaces, employees are empowered to challenge assumptions and raise concerns about new tools without fear of reprisal.

When OpenAI released a free web app called ChatGPT in late 2022, it changed the course of an entire industry--and several world economies. Millions of people started talking to their computers, and their computers started talking back. We were enchanted, and we expected more. Well, 2025 has been a year of reckoning. For a start, the heads of the top AI companies made promises they couldn't keep. At the same time, updates to the core technology are no longer the step changes they once were.

Why it's time to reset our expectations for AI The hype we have been sold for the past few years has been overwhelming. Hype Correction is the antidote. Can I ask you a question: How do you about AI right now? Are you still excited? When you hear that OpenAI or Google just dropped a new model, do you still get that buzz? Or has the shine come off it, maybe just a teeny bit? Come on, you can be honest with me.

The head of Amazon Web Services has big plans to offer AI tools to businesses, but says that replacing coders with AI is "a non-starter for anyone who's trying to build a long-term company." Amid the breathless coverage and relentless AI hype of recent years, one of the world's biggest tech companies--Amazon--has been notably absent. Matt Garman, the CEO of Amazon Web Services, is looking to change that. At the recent AWS re:Invent conference, Garman announced a bunch of frontier AI models, as well as a tool designed to let AWS customers build models of their own. That tool, Nova Forge, allows companies to engage in what's known as custom pretraining--adding their data in the process of building a base model--which should allow for vastly more customized models that suit a given company's needs. Sure, it doesn't quite have the sexiness of a Sora 2 announcement, but that's not Garman's goal: He's less interested in mass consumer use of AI and more interested in enterprise solutions that'll integrate AI into all of AWS's offerings--and have a material impact on a corporate P&L. For this week's episode of, I caught up with Garman after AWS re:Invent to talk about what the company announced, whether he feels behind in the AI race, how he thinks about managing huge teams (and managing internal dissent), and why he's not convinced that AI is (or should be) the great job thief of our era. We always start these conversations with some very quick questions, like a warmup. If AWS had a mascot, what would it be? We have a big S3 bucket sometimes that goes around, so we'll call it that. Sorry, what is an S3 bucket? An S3 bucket is like a thing that you store your S3 objects in, but we actually have a large foam big bucket that walks around and actually looks like a paint bucket. So you do have a mascot. Well, S3 has a bucket, it has a mascot. It's probably the closest we have, and I like it. What's the most expensive mistake you've ever made? Personally, the most expensive mistake I ever made was playing basketball too long and I tore my Achilles. So that cost me about nine months of being able to walk. I probably should have known that into my thirties I was well past basketball-playing age.