Galaxy Brain

Just how are powerful AI models being used in warfare overseas? In this episode of Galaxy Brain, Charlie Warzel sits down with Wired senior writer Will Knight to discuss the rise of autonomous weapons. From the origins of Project Maven to the recent falling-out between Anthropic and the U.S. Department of Defense, they trace what’s happening as artificial intelligence moves from summarizing documents to informing decisions on the battlefield.

How do these weapons work? What are the safeguards? Who decides what values get baked into these models? As autonomous systems become harder to avoid, where exactly is the line between human judgment and machine decision making? Warzel and Knight help explain how the Pentagon and Silicon Valley are more entangled than ever and where warfare goes from here. 

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How are we still getting caught in the rain? This week’s “Galaxy Brain” explores the world of weather forecasting—specifically the apps on our phones that we have come to rely on. As climate change intensifies storms and smartphones put hyperlocal forecasts in our pockets, we’ve never had more meteorological data. And yet plenty of people lament that their weather apps can’t get it right. Charlie digs into why we obsessively refresh our weather apps, why we blame them when they’re wrong, and what it really means to forecast an inherently chaotic atmosphere.

Charlie talks with the physicist Adam Grossman, a co-creator of the cult-favorite weather app Dark Sky that redefined minute-by-minute forecasting before being acquired by Apple. Grossman pulls back the curtain on how weather predictions are made—a process that includes satellites, weather balloons, massive physics simulations, and machine-learning models—and explains why forecasts are improving even if it doesn’t always feel that way

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Few companies have reshaped American culture as aggressively as Netflix. This week’s Galaxy Brain charts how we got here.

Charlie Warzel talks with Atlantic film critic David Sims about Netflix’s strange, sweeping arc: from red DVD envelopes to a streaming colossus with 325 million subscribers. Sims explains how Hollywood initially shrugged off streaming as a novelty, only to watch Netflix reshape both distribution and the aesthetics and economics of entertainment itself. 

Together, they discuss the rise of binge culture, data-driven green-lighting, and the tension between prestige projects and “second screen” slop built for distracted viewers. The conversation also examines Netflix’s stance toward theaters, its aborted bid for Warner Bros. Discovery, and the deeper question haunting the industry: Has Netflix simply exploited technological inevitabilities—or has it rewired our expectations of what movies and television are supposed to be?

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Silicon Valley runs on hype cycles, and the AI boom is generating a new one—part gold rush, part ideology, and part quasi-religious devotion to building an alien intelligence.

On this week’s “Galaxy Brain,” Charlie Warzel explores the culture of this boom with the writer Jasmine Sun, who’s been chronicling San Francisco’s AI scene. Sun describes what this moment feels like on the ground, including a subculture of massive salaries, and a weird pride in leaning into tech’s strangeness. Together, Warzel and Sun unpack two major factions shaping the industry: the AI “doomers,” and the accelerationists. The conversation also traces Silicon Valley’s rightward drift—the “founder mode” backlash against regulation and employee activism and the rise of “Trump style” provocation-first tech marketing. Finally, Sun and Warzel address the jagged reality of today’s models, which are brilliant at some tasks and weak at others. 

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Silicon Valley relies on hype cycles. But for the last few weeks, AI insiders have been spooked by advances coming from their tools. On this week’s Galaxy Brain, Charlie Warzel helps listeners calibrate their anxiety about AI’s next phase. The episode examines what’s new: AI-agent coding tools that can work in the background like personal assistants. Warzel is joined by longtime technologist Anil Dash to unpack how hype and venture-capital incentives can distort the conversation around advances, and what the rise of tools like Claude Code and the more reckless “OpenClaw” experiments mean for labor, security, and everyday work. Dash outlines the very real risks of AI to explain why some people are panicking, why others are quietly building alternatives, and what to watch for as AI moves beyond chatbots to autonomous agents.

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