This week on, we also discuss Anthropic's IPO filing and the volunteers gearing up to counter ICE at the midterms. This week on, Brian Barrett, Leah Feiger, and Zoë Schiffer dive into our scoop on how a defense contractor connected Claude Code to a secure Department of Defense system. We also discuss the green, yellow, and red flags we see in Anthropic's IPO filing--and why it's a test not just for the AI industry, but for the entire US economy--and how volunteers nationwide are preparing for ICE agents potentially showing up at polling sites in the midterms. Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . There is a lot going on in the hundreds of pages that the company submitted as part of its S-1 filing, from staggering earnings and losses, to warnings of AI's existential threat. We'll discuss our key takeaways and why this IPO is kind of high stakes, not just for the AI industry, but honestly the entire US economy. Massive groups of volunteers all over the country are already getting ready to protect their communities from the potential that ICE officers show up at the polls. We'll get into how grassroots efforts like these are a reflection of a deeply uncertain election cycle. This has been highly anticipated for a bunch of reasons. Anthropic is expected to raise more money in its IPO than any company in history, and it would be the first major US company focused solely on building AI software to go public. To give you a sense of the scale that we're talking about, the company's valuation went from $183 billion a little over a year ago to $965 billion in its most recent round, and some expect that it could be worth close to $2 trillion once it starts trading.

This week on “Uncanny Valley,” we go behind the scenes of our Nathan Fielder cover story, unpack tech billionaires’ generous promises, and discuss the suspicious letters sent to US election offices.

This week on, we dive into an unexpected Muse feature, shadowy spending from the largest pro-AI super PAC, and men's tendency to lie about how much they know about AI. Turns out, Meta's AI agent Muse goes well beyond managing your calendar: it will also sext with you. This week on, Brian Barrett and Leah Feiger are joined by WIRED reporter Reece Rogers to discuss how he put it to the test--and ended up getting more than he bargained for. Plus, why the largest pro-AI super PAC network is funneling millions into shadowy LLCs, how Apple's new HomeView underwhelmed us, and a study that found men tend to overestimate how much they actually know about AI. Write to us at [email protected] . I Got My Muse AI Agent to Sext Me--and Meta Says That's Totally Fine Men Can't Stop Faking How Much They Know About AI You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . We wanted to share with you that is a finalist for not one or two, but three Signal Awards. The judges pick who wins, but listeners also have a say with the listeners' choice vote. You can go to the links we included in the show notes and vote for us. We promise it takes just a minute and your vote goes a long way.

This week on, we discuss the voluntary AI safety agreement tech executives signed, AI agents for normies, and extremist candidates running for office in the US midterms. This week on, Brian Barrett, Zoë Schiffer, and Leah Feiger discuss the "morally binding" AI accord tech executives signed following a meeting with Donald Trump. They've agreed that AI labs will regulate themselves--should work out great. Plus, the team digs into OpenAI's Developer Day, where CEO Sam Altman introduced AI agents for normies, otherwise known as Dots; how AI agents are coming to workplaces near you; and a quick rundown of the most extremist candidates running for office. Trump's AI Safety'Accord' Is a Fancy Pinky Swear A Pentagon Influencer Called Liberal Women a'Pestilence' Who Will End Western Civilization I Built AI Clones of My Coworkers. Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Two quick things before we dive in. If you've been listening for a while and you haven't rated or reviewed the podcast yet, this is your sign. Give us a rating, tell us what you think. Five stars is nice, but we'll take the feedback too. It really helps more people find the show. Also, if you're in the Bay Area, we will be doing a live audience recording of the podcast on Thursday, October 8, at 7 pm at The Commons, headquarters of our KQED friends in San Francisco. You can buy tickets on kqed.org or check out the show notes for the link. You won't want to miss it.

I Built AI Clones of My Coworkers. Brian Bot loved talking about improv, while Sophie Bot wouldn't stop calling me "big dog." Welcome to the future of work. When I decided to create artificial intelligence clones of my editors, my intentions were pure: I just wanted them to think I was good at my job. AI assistants are suddenly everywhere in the workplace. Each week, my inbox is flooded with press releases about digital workers, and CEOs brag about how robot helpers will soon dominate their workforces. Then there are the stories I hear about people who build AI clones of their bosses, using them to spit-shine every idea, message, or draft before sending it over to their actual human supervisors. The goal seems to be productivity and optimization: If employees can cheaply and quickly improve their output, their job performance--and the performance of their employers--will be better for it.

Here's What the AI Apocalypse Could Look Like This week on, we discuss three possible AI doomsday scenarios, AI safety, and the unexpected bipartisan alliance forming against AI. The debate of whether AI can kill us has been everywhere lately, but what would an actual AI catastrophe look like? This week, Brian Barrett, Zoë Schiffer, and Leah Feiger break down three real-world scenarios experts worry the most about--including hacked water supplies, bioweapons, and autonomous robots. We also discuss the highlights of Salesforce's annual conference, where OpenAI's Sam Altman and Anthropic's Dario Amodei defended their positions on AI safety. Plus, Leah tells us how this backlash against AI has become a rare bipartisan flashpoint, to the point that Bernie Sanders and Steve Bannon shared a stage over it this week. Washington Won't Be Regulating AI Anytime Soon Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . And instead of just adding to the pile of hot takes that already exist, we're going to walk you through real specific scenarios to the best of our ability about how AI would actually do this, and why the tech CEOs and politicians cannot seem to agree on the way forward. OK, guys, so the debate about AI safety has officially escaped containment. AI researcher Jacob Coxon resigned from Anthropic and posted on X that, The people building AI earnestly believe that it could kill us all by the end of the decade. Anthropic's CEO Dario Amodei has called for a slowdown .

This week on, we dig into the latest prediction market buzz, Flock's AI-powered police search tool, and how tech bros don't know how to talk about "rouge" AI agents This week, senior writer Kate Knibbs joins Brian Barrett, Zoë Schiffer, and Leah Feiger to discuss the two incidents that have been making noise in prediction markets: George Santos getting lifetime ban from Kalshi and a Google engineer's Polymarket insider-trading case. Plus, reporters reverse-engineered Flock's AI-powered person-search tool and spoke to experts about the accuracy of such technology, and the hosts unpack the online meltdown over how to talk about "rogue" AI agents. George Santos Just Got Hit With Kalshi's First-Ever Lifetime Ban This Is Flock's AI Search Tool for Cops What We Still Don't Know About OpenAI's Hugging Face Hack Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . It's so nice to see you guys. Former US representative George Santos was the first person to be given a lifetime ban from Kalshi, and a Google engineer was accused of insider trading at Polymarket. We'll get into why both of these cases show that there are still plenty of blurry rules when it comes to prediction markets. This week, WIRED reporters were able to recreate Flock's AI powered search tool, the same one that has a track record of being misused by police officers. We're going to break down how it works, and whether the backlash against Flock cameras might have reached its boiling point. Do you guys remember George Santos?

China Is Strapping'Digital Bombs' to Civilian Infrastructure--Is the US Ready? Earlier this year, insurance executives gathered in a Times Square conference room to play out a scenario: a Chinese cyberattack knocks out 5,000 US water utilities at once. If you think that's a far-fetched scenario, think again. WIRED's Andy Greenberg got rare access to the closed-door war game and walked away with some disturbing conclusions. This week, Brian Barrett sits down to talk with Andy about Volt Typhoon, the Chinese state-sponsored hacking group that's spent the past three years pre-positioning itself inside American infrastructure. You can follow Brian Barrett on Bluesky at @brbarrett and Andy Greenberg on Bluesky at @agreenberg . Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link .

AI is shifting the culture, from tech CEO manifestos to 1 am job interviews. Today on Brian Barrett, Zoë Schiffer, and Leah Feiger break down Meta CEO Mark Zuckerberg's 6,500-word AI manifesto and why it ultimately rings hollow. Plus, why are job seekers scheduling bot-run interviews at 1 am? WIRED's Andy Greenberg also joins to unpack the best findings from Black Hat and Defcon, from a hacked kids' smartwatch to a coin-sized device that can hijack a Boeing 737. McDonald's Built a 515-Page Dossier on Me. It Says I'll Never Stop Eating There Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . I thought it was fun. The dialogue was kind of whatever, beautiful shots of the Sicilian ocean. And I went with my husband who loves to remind me that he studied Latin and Greek in high school, and he actually liked it too. I think everyone who is complaining about it needs to stop.

ICE's DNA Collection Increases, SpaceX's Rocket Crashes Into the Moon, and the AI Backlash Grows In today's episode of, we discuss how ICE has been collecting DNA samples of people who have no criminal convictions, including children, which end up in an FBI database indefinitely. This week on, Brian Barrett, Zoë Schiffer, and Leah Feiger break down how ICE has collected DNA from nearly a million people this year, including young children, feeding an FBI database indefinitely. Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . These samples have led to hundreds of thousands of people, including young children, to end up in an FBI criminal database basically forever. From Google Earth disabling its new AI tool after people used it to create fake maps to Substack partnering with the AI writing detection tool Pangram, companies are starting to realize that people really don't like low-quality AI content flooding their feeds. It's keeping the details mostly under wraps, but we're going to discuss what's behind all the secrecy and what this could mean for future regulation. WIRED's Dhruv Mehrotra reported this week about how ICE has collected nearly 1 million people's DNA this past year, just this past year alone, including that of young children. As we mentioned up top, this DNA collection has led to hundreds of thousands of people with no criminal convictions ending up in an FBI database indefinitely. And in fact, the Department of Homeland Security has become the single largest source of new profiles in this database.