Late night’s long goodbye

深夜漫长告别

Today, Explained

2026-05-22

25 分钟
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单集简介 ...

The end of Colbert is just the beginning. This episode was produced by Hady Mawajdeh, edited by Jenny Lawton, fact-checked by Gabriel Dunatov, engineered by David Tatasciore and Bridger Dunnagan, and hosted by Sean Rameswaram. The Late Show with Stephen Colbert. Photo by Scott Kowalchyk/CBS via Getty Images. Listen to Today, Explained ad-free by becoming a Vox Member: vox.com/members. New Vox members get $20 off their membership right now. Transcript at ⁠vox.com/today-explained-podcast.⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices
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单集文稿 ...

  • tonight.

  • Like Steve Allen, Ed Sullivan, Johnny Carson, Joan Rivers, Jay Leno, David Letterman, Arsenio Hall,

  • Whoopi Goldberg, Dennis Miller, Connor O'Brien, Craig Kilborn, Craig Ferguson, Keen Ivory Waynes, Juana Sykes,

  • Carson Daly, Chelsea Handler, George Lopez, James Corden, Larry Wilmore, Samantha Bee, Trevor Noah, Amber Ruffin,

  • and many more before him, Stephen Colbert will say goodbye to late night television.

  • He's going out with a little help from his friends, Amy Sedaris, Billy Crystal, Weird Al, Mark Hamill,

  • Tiffany Haddish, Jeff Daniels, Martha Stewart, Ben Stiller, Josh Brolin, James Taylor, Aubrey Plaza, and Robert De Niro.

  • And that was just last night.

  • None of them spoke about the highly unusual circumstances in which Stephen's leaving CBS,

  • but last night's musical guest took a swing at it.

  • I'm here in support tonight for Stephen because you're the first guy in America

  • who's lost his show because we got a president who can't take a joke.

  • We're going to say goodbye to Stephen and late-night TV on Today Explained from Vox.

  • Anyway, Stephen, these are small-minded people.

  • They got no idea what the freedoms of this beautiful country are supposed to be about.

  • This is for you.

  • Support for Today Explained comes from ServiceNow.

  • AI is moving fast, but without visibility, it's just chaos.

  • Different tools, different models, different teams using AI in completely different ways.

  • A mess.