In this episode of Galaxy Brain, host Charlie Warzel speaks with the reporter Ryan Broderick about how the internet’s fragmentation of attention and facts has bled into real-world political violence in Minneapolis this month. From the viral spread of a right-wing video about day-care fraud in Minnesota to the aggressive ICE activity in the region that followed, the episode charts how online content routinely shapes government action and public perception.

Broderick, who spent days in Minneapolis after the shooting of Renee Nicole Good, describes what he saw on the ground: how protesters and law enforcement are behaving differently this time around, especially with regard to filming and digital organizing. The conversation explores a novel and concerning feedback loop where what happens online spurs real-world interventions, which then generate more content for audiences elsewhere, compounding division and uncertainty about what’s true. 

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In this episode of Galaxy Brain, Charlie Warzel confronts the growing crisis around AI-generated sexual abuse and the culture of impunity enabling it. He examines how Elon Musk’s chatbot Grok is being used to create and circulate nonconsensual sexualized images, often targeting women. Warzel lays out why this moment represents a red line for the internet: It is a test of whether society will tolerate tools that silence women through humiliation and intimidation under the guise of free speech.

Warzel is then joined by The Atlantic’s Sophie Gilbert, the author of Girl on Girl, for a conversation about how misogyny has been a constant throughline in the history of internet innovation, from Facebook to YouTube. Warzel and Gilbert discuss today’s AI-powered exploitation and explore how new technologies repeatedly repackage old abuses at greater scale and speed. They discuss why this wave of hostility feels so intense right now, how backlash politics and platform design reinforce one another, and what is at stake if lawmakers, companies, and the public fail to draw a red line with Elon Musk’s Grok.

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In this episode of “Galaxy Brain,” Charlie Warzel discusses the nightmare playing out on Elon Musk’s X: Grok, the platform’s embedded AI chatbot, is being used to generate and spread nonconsensual sexualized images—often through “undressing” prompts that turn harassment into a viral game. Warzel describes how what once lived on the internet’s fringes has been supercharged by X’s distribution machine. He explains how the silence and lack of urgency isn’t just another content-moderation failure; it’s a breakdown of basic human decency, a moment that signals what happens when platforms choose chaos over stewardship.

Then Charlie is joined by Mike Masnick, Alex Komoroske, and Zoe Weinberg to discuss a vision for a positive future of the internet. The trio helped write the “Resonant Computing Manifesto,” a framework for building technology that leaves people feeling nourished rather than hollow. They discuss how to combat engagement-maximizing products that hijack attention, erode agency, and creep people out through surveillance and manipulation. The conversation is both a diagnosis and a call to action: Stop only defending against the worst futures, and start articulating, designing, and demanding the kinds of digital spaces that make us more human.

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In this episode of “Galaxy Brain,” Charlie Warzel opens with 5 predictions for 2026.

Then, Charlie is joined by his Atlantic colleague David Frum, a staff writer and the host of The David Frum Show podcast, to discuss the temptations that come with launching a new podcast and the challenge of serving an audience that often rewards extreme content. Together, they talk about the responsibility that comes with hosting a podcast in a media environment that prizes clicks over truth. They also explore how conspiracy theorists have come to function as an alternate reality of “mainstream media,” and why the fight for truth may not yet be lost.

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Are your parents addicted to their phone? In this episode of Galaxy Brain, Charlie Warzel explores how technology is affecting an older generation of adults. Instead of a phone-based childhood, Warzel suggests, we may be witnessing the emergence of a phone-based retirement—one shaped by isolation, algorithmic feeds, and platforms never designed with aging users in mind.

To untangle whether this is a genuine crisis or a misplaced moral panic, Warzel speaks with Ipsit Vahia, chief of geriatric psychiatry at Mass General Brigham’s McLean Hospital in Massachusetts and a leading researcher on technology and aging. Vahia emphasizes that older adults are anything but a single category, and that screen use can be both protective and harmful depending on context. The key, Vahia argues, is resisting reflexive judgment. Ultimately, this is an issue not of screens versus humans, but of how families navigate connection in a world where attention is mediated by devices in every age group.

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Late on the Friday before Christmas—just hours before a deadline mandated by Congress, the Department of Justice released part of the trove of documents known colloquially as the Epstein files. The contents are, at different times, unnerving, enraging, banal, and heavily redacted. 

At The Atlantic, we’ve been up, poring over the documents to contextualize what they mean. In this special Galaxy Brain episode, Charlie Warzel is joined by Adrienne LaFrance, The Atlantic’s executive editor, and Isaac Stanley-Becker, a staff writer, to talk about the document dump. They share their findings, address the political fallout, and explore what, if anything, we can learn from what’s been released. 

 
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In this episode of Galaxy Brain, Charlie Warzel explores the burgeoning industry of prediction markets. These platforms let people wager on everything from elections and award shows to the most trivial internet ephemera, framing bets as tradable “shares” that rise and fall like stocks. With billions in weekly trading volume, massive new funding rounds, and even a CNN partnership with the prediction-betting platform, Kalshi, prediction markets are quickly moving from a niche curiosity to a mainstream-media fixture—openly touting ambitions to financialize everything.

Warzel is joined by writer Max Read, who argues that prediction markets sit at the intersection of gambling, finance, and a broader “suckerification” economy aimed at young men. Together they unpack whether the markets actually reflect the “wisdom of crowds” or whether they’re little more than a meta-game of vibes, ideology, and misvalued dumb money. The pair explore the culture of these platforms and offer a diagnosis of the attention economy: When it’s hard to sell anything directly, it’s easier to sell derivatives of everything. Prediction markets may promise clarity, Warzel and Read suggest, but what they really offer is another way to feel excitement in a world that feels rigged.

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In this episode of Galaxy Brain, Charlie Warzel turns the camera on himself to ask a simple question: Why are you seeing his face? 

Using YouTube’s takeover of podcasts as a starting point, he explores how video has devoured audio and turned podcasts into something closer to daytime TV and late-night talk shows. NPR’s Rachel Martin, host of the celebrity-interview show Wild Card, joins to talk about her own shift from intimate, audio-only conversations to highly visible video chats with mega-celebrities. She explains how the visual layer changes everything—from building trust with guests and audiences to deepening parasocial relationships, and why showing your face is necessary in a low-trust media world.

To trace the business and cultural arc of this pivot, Bloomberg reporter Ashley Carman explains the rise and fall of the podcast “gold rush”—from the Serial era to Spotify’s billion-dollar bet, to the collapse of expensive narrative audio and YouTube’s emergence as a true power player. Then, writer and Plain English host Derek Thompson joins to explain his theory that “everything is television now.” Warzel and Thompson explore how short-form video, autoplay feeds, and video podcasts are reshaping our attention, our politics, and even our sense of self—turning podcasts into background “wallpaper” while nudging more of us into broadcasting our lives. Together, the conversations sketch a weird, slightly berserk future where video podcasts aren’t just a format—they’re a window into a lonelier, more fragmented, video-first culture.

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In this episode of Galaxy Brain, Charlie Warzel explores the strange, unsettling relationships some people are having with AI chatbots, as well as what happens when those relationships go off the rails. His guest is Kashmir Hill, a technology reporter at The New York Times who has spent the past year documenting what is informally called “AI psychosis.” These are long, intense conversations with systems such as ChatGPT that can spiral or trigger delusional beliefs, paranoia, and even self-harm. Hill walks through cases that range from the bizarre (one man’s supposed math breakthrough, a chatbot encouraging users to email her) to the tragic, including the story of 16-year-old Adam Raine, whose final messages were with ChatGPT before he died by suicide.

How big is this problem? Is this actual psychosis or something different, like addiction? Hill reports on how OpenAI tuned ChatGPT to be more engaging—and more sycophantic—in the race for daily active users. In this conversation, Warzel and Hill wrestle with the uncomfortable parallels to the social-media era, the limits of “safety fixes,” and whether chatbots should ever be allowed to act like therapists. Hill also talks about how she uses AI in her own life, why she doesn’t want an AI best friend, and what it might mean for all of us to carry a personalized yes-man in our pocket.

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In this episode of “Galaxy Brain,” Charlie Warzel sits down with Eliot Higgins, founder of the open-source investigative collective Bellingcat, to examine how our public sphere slid from healthy debate into what Higgins calls “disordered discourse.” Higgins is an early-internet native who taught himself geolocation during the Arab Spring and later built Bellingcat’s global community. He has spent the past decade exposing war crimes and online manipulation with publicly available data. Higgins has recently come up with a framework to help understand our information crisis: Democracies function only when we can verify truth, deliberate over what matters, and hold power to account. All three are faltering, he argues.

In this conversation, Warzel and Higgins trace the incentives that broke the feed: how algorithms reward outrage, how “bespoke realities” form, why counterpublics can devolve into virtual cults, and what “simulated” accountability looks like in practice. They revisit Higgins’s path from early web forums to Bellingcat, look at the MAGA coalition as a patchwork of disordered counterpublics, and debate whether America is trapped in a simulated democracy. Higgins offers a clear diagnosis—and a plan for how we might begin to claw back a shared reality.

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