
Show Notes
The internet is in its let-it-rip era: more AI slop, more video, more clips — and very little in the way of guardrails or rules.
Charlie Warzel, who writes and hosts Galaxy Brain for The Atlantic, joins me to talk about what happens when the platforms stop trying very hard to separate the good stuff from the garbage. Do we actually care if a human made the LinkedIn post, the marketing copy, or the video in our feed? Or do we only care when the slop gets in the way?
Then we get into the video-everything moment: Why every podcast is becoming a video podcast, why clips may matter more than the shows they come from, and what Charlie has learned from becoming a video person — as I mentioned, he has a podcast now — after years of writing about video people.
That leads to a bigger media question: what can old-school media companies learn from creators, Substackers, and YouTubers — and what do they usually misunderstand when they try to hire or absorb them?
Charlie has been one of my trusted guides to internet culture for years. I highly recommend starting your own podcast so you can invite him on to talk to you directly. And in the meantime, enjoy this one. Learn more about your ad choices. Visit podcastchoices.com/adchoices
More from Channels with Peter Kafka
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David Ellison has won Warner Bros. Discovery. Now he has to figure out what, exactly, to do with it.
I went to Meta’s Silicon Valley headquarters to try Mark Zuckerberg’s newest face computer: a $1,300 pair of virtual-reality glasses that are much lighter and cheaper than Apple’s Vision Pro, and still make you ask a very basic question: What am I supposed to do with this thing?So I asked my pal Mike Isaac, the New York Times tech reporter and longtime Meta watcher. We talked about why Meta keeps spending billions trying to put computers on our heads, why this version might have a better shot than the last ones, and where Meta’s fast-growing Muse AI agent fits into the company’s plan.Then we turn to the much bigger—and darker—AI story Mike has been reporting on: The fight over whether the companies racing to build more powerful AI systems can actually control them. What are the real risks? Who gets to decide what counts as “safe enough”? And what happens when the people building this stuff say they can’t afford to slow down? Learn more about your ad choices. Visit podcastchoices.com/adchoices