THE VIDEO SHELF · information overload and ai
Colonel JD AI Codec Conversation MGS2 HD
The final codec conversation from Metal Gear Solid 2, in which the AI 'Colonel' explains that the Patriots filter out junk information and curate truth for humanity. It plays as a dark meditation on information overload, manipulation and shared reality.
Why HN readers recommended it
Commenters point to it whenever AI-generated content, propaganda or internet garbage comes up, since Kojima seemed to predict it in 2001.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Louie V
- Topic
- information overload and ai
- Format
- other
- Level
- general
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 7
- Recommendation years in dataset
- 2020–2025
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.
You should play Metal Gear Solid 2, or at least watch the last codec call[1]. See how much you can apply what it talks about to the current year. This game came out a month after 9/11. [1]: [VIDEO]
dokyun on Hacker News · 2025-12
In You have reached the end of the internet (2006)> The information age gave us information overload, something I don't think anyone predicted. Have you ever played Metal Gear Solid 2 (2001)? [VIDEO]
Lammy on Hacker News · 2024-05
In The internet is overflowing with bad content. Users are fighting backThe real prescient threat in that movie was the predictive AI algorithm that tracked individual behaviors and identified potential threats to the regime. In the movie they had a big airship with guns that would kill them on sight, but a more realistic threat is …
dmonitor on Hacker News · 2025-02
In Apple pulls data protection tool after UK government security row
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.