HackerTube.dev

GPT-4chan: This is the worst AI ever

Yannic Kilcher · 1M views · 2022-06-03 · 19:20

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

Yannic Kilcher explains how he trained a language model on three years of 4chan's /pol/ board and let it post on the site. He evaluates how good the model was and discusses the ethics and fallout.

On Hacker News

HN points to it as the definitive account of the GPT-4chan experiment, used in debates on LLM bias, truthfulness and bots.

Recommended by 3 HN people across 3 months · HN mentions 2022–2026

Topics

LLMs & generative AIAI safety, AGI & impact
Search by tags
gpt-4chanlanguage models4chanai ethicsfine-tuning

What people said

benreesman · 2024-11 · Strong recommendation

In my opinion the granddaddy of all 4chan CAPTCHA busts is still Yannick Kilcher’s GPT-J tune on “Raiders of the Lost Kek” set, and might be the coolest thing an LLM has ever done on video: [VIDEO]

Read the original HN comment ↗
sigmoid10 · 2024-03 · Recommendation

I still love this experiment: [VIDEO] The theories about the origins of these commenters were amazing. There's nothing to say that other people are not doing the exact same thing right now here on HN and other places. And very few people would even notice, because open LLMs have progressed significantly since then.

Read the original HN comment ↗
thegreatdukd · 2022-06 · Recommendation

There is a solid video explanation (though the author is undermining the toxicity of the average 4chan /pol/ posts): [VIDEO] . A really interesting experiment.

Read the original HN comment ↗

Sources

Video by Yannic Kilcher, 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