How Algorithms Flattened Culture
Lost Debate
The Branch
4.6 • 607 Ratings
🗓️ 13 February 2025
⏱️ 36 minutes
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| 0:00.0 | Welcome to The Lost Debata Show for Politically Ecclectics. I'm Robbie Gupta. And today I talk to |
| 0:05.3 | Kyle Cheka, who is a staff writer for The New Yorker and the author of a new book called Filterworld, |
| 0:10.8 | which is all about how algorithms are flattening our culture. He and I really get into it. |
| 0:16.2 | This is kind of a continuation of the Nicholas Carr conversation that I had last week. And I would say that |
| 0:22.3 | Kyle's thesis is a little bit more pointed. It's kind of a next step thesis from Carr's skepticism |
| 0:29.5 | of the sort of digital world that we live in now, where Kyle is really particularly focused on |
| 0:34.2 | algorithms, but also how the questions of taste, curation, choice |
| 0:39.0 | are in some ways made for us in a world where we have algorithms and big tech companies, |
| 0:46.9 | basically pushing out the options that we appear to choose from every day, whether you're on |
| 0:52.7 | Spotify, Netflix, you're on Amazon purchasing a book. |
| 0:56.9 | And he goes even further saying even our physical spaces, like the coffee shops and restaurants |
| 1:01.5 | that we go to, how those are shaped by our algorithms. |
| 1:05.4 | It is a provocative thesis. |
| 1:07.5 | And Kyle was a really good sport. |
| 1:08.8 | I gave them a hard time about certain elements of the thesis. And then the second half, we really get to the nitty-gritty of how do you live your |
| 1:14.8 | life in a world where algorithms have such prominence. I think you're going to enjoy this conversation. |
| 1:19.8 | Let's jump right in. |
| 1:26.1 | Well, Kyle, welcome to the podcast. Thank you for having me. Your thesis is that algorithms are |
| 1:31.9 | flattening the world. Let's start with the algorithm part of this. What is an algorithm? |
| 1:37.2 | In a literal sense, an algorithm is just any kind of equation. So any math equation, any formula |
| 1:44.0 | is essentially an algorithm. But I think in the context |
| 1:48.0 | right now, what we're often talking about are recommendation algorithms. So that's the kind of |
... |
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