THE VIDEO SHELF · ai censorship satire
Raiden Warned About AI Censorship - MGS2 Codec Call (2023 Version)
A fan-made Metal Gear Solid 2 codec call using AI voice synthesis, in which the Colonel warns Raiden about using AI to censor the internet and enforce digital ID. It riffs on the game's 'Selection for Societal Sanity' conversation.
Why HN readers recommended it
HN users post it as a meme or satirical comment in threads about AI regulation, age verification and online identity.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- CYBERGEM
- Topic
- ai censorship satire
- Format
- comedy
- Level
- general
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 15
- Recommendation years in dataset
- 2023–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
> I think that, ultimately, systems that humans use to interact on the internet will have to ditch anonymity. Relevant meme video (which watching is in my opinion worth your time): Raiden Warned About AI Censorship - MGS2 Codec Call (2023 Version) [VIDEO]
aleph_minus_one on Hacker News · 2025-06
In The Future of Comments Is Lies, I GuessCorrect, and it's to put the genii back in the bottle so to speak. Great video on how AI is being actively used to break the internet. Cause a problem, provide the solution. [VIDEO]
normalaccess on Hacker News · 2025-08
In Porn censorship is going to destroy the internetThis is a meme video but I think it hits the nail on the head. TLDR: AI will force global online digital ID for everyone that uses the internet for the exact reason you mentioned. And that would forever change free speech forever allowing the …
normalaccess on Hacker News · 2026-08
In How Claude marks AI-generated content
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.