THE VIDEO SHELF · alphago and go
AlphaGo - The Movie | Full award-winning documentary
Feature-length documentary following DeepMind's AlphaGo program as it prepares for and plays the 2016 match against Go champion Lee Sedol. It covers the team, the games, and the emotional reaction of the Go world to an AI beating a top human.
Why HN readers recommended it
HN commenters call it a moving, well-made human story about AI and Go that works for non-technical viewers and does not date.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Google DeepMind
- Topic
- alphago and go
- Format
- documentary
- Level
- general
- HN recommenders in dataset
- 10
- HN mentions in dataset
- 13
- 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.
As a long-time Go player and ML guy who even built his own (albeit shitty) Go AI in college, I'm a bit biased, but watching the AlphaGo-Lee Sedol match really felt like watching our generation's moon landing. If y'all haven't already, there's a new AlphaGo …
eyerow on Hacker News · 2020-04
In ACM Prize in Computing Awarded to AlphaGo DeveloperIf you haven't seen it, the documentary on DeepMind's AlphaGo is very well done. The climax revolves around the AI expressing what we humans call "creativity" in a match against decorated player Lee Sedol. Watching Lee Sedol's reaction is deeply moving. Free to watch on …
_acco on Hacker News · 2020-08
In Impact of Go AI on the professional Go worldI remember first discovering the game of Go, after watching the AlphaGo Documentary [1]. I highly recommend it, will definitely be signing up for this, I usually play on mobile :) [1] [VIDEO]
marclave on Hacker News · 2021-05
In Dragon Go Server
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.