HackerTube.dev

Everything is a Remix (2023 Edition)

Kirby Ferguson · 328.9K views · 2023-03-21 · 1:04:04

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Kirby Ferguson's updated four-part video essay arguing that creativity is built on copying, transforming and combining existing work. It covers examples from film, music and technology and touches on generative AI.

On Hacker News

Pointed to in copyright and AI debates as a compelling case that all culture is remix.

Recommended by 3 HN people across 3 months · HN mentions 2023–2026

Topics

Search by tags

What people said

supern0va · 2026-04 · Recommendation

>LLM-creation ("training") involves detecting/compressing patterns of the input. There's a pretty compelling argument that this is essentially what we do, and that what we think of as creativity is just copying, transforming, and combining ideas. LLMs are interesting because that compression forces distilling the world down into its constituent parts and learning about the relationships between ideas. While it's absolutely possible (or even likely for certain prompts) that models can regurgitate text very similar to their inputs, that is not usually what seems to be happening. They actually appear to be little remix engines that can fit the pieces together to solve the thing you're asking for, and we do have some evidence that the models are able to accomplish things that are not represented in their training sets. Kirby Ferguson's video on this is pretty great: [VIDEO]

Read the original HN comment ↗
alexpotato · 2024-06 · Recommendation

Anytime these discussions pop up, it's good to link to the documentary "Everything is a Remix" (here is the 2023 updated version: [VIDEO] " ) It highlights how essentially everything in culture is a remix of some previous version of the culture (or some aspect of it). E.g. even language is largely a remix of earlier languages with some occasional creation of new words. Also, while true that there is definitely an oligopoly, it's also clear that the Long Tail is both huge AND easy to access. In the past, you could only see movies by going to the movie theater and there were only a limited number of theaters. Now, you can both create and consume media in niches as small (or combined) as you want.

Read the original HN comment ↗
tsumnia · 2023-12 · Recommendation

When I cover generative AI in my Ethics in AI lecture, one of few soapbox opinions I give is that GenAI is doing essentially what people do - copy others. Picasso has a quote about "Good Artists copy, Great Artists steal", which doesn't mean try to pass Lario and Muigi off as your own, but rather that great artists are able to take aspects from other works (also called 'inspiration') without being caught. My personality is a combination of elements taken from Jim Carrey, Robin Williams, and King of the Deathmatch Mick Foley. I like making vector graphics based on pictures. I have a folder on my computer called "Website Ideas" that's just screenshots of UIs that I've come across that I really like. I also point to a YouTube video by Kirby Ferguson "Everything is a Remix" [1] which talks about how so much of our collective culture stems from copy. It's a great video if you have an hour. When Little Timmy crayons a copy of Mario, we congratulate him for his creativity. Is it unique, one of a kind art? Well Timmy made it, but he didn't think up the original idea of a video game plumber. I give this view to GenAI right now - it's not capable of achieving that "next step" in "original design", but its performing like a novice artist/musician, it's mimicking what it sees. [1] [VIDEO]

Read the original HN comment ↗

Sources

Video by Kirby Ferguson, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Matches the configured criteria
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources