demo · HACKER NEWS RECOMMENDATION
Deepmind artificial intelligence @ FDOT14
Elizr · 2 HN recommenders · 3 recommendation months
Recommended by 2 Hacker News commenters across 3 months (2014–2016).
SignalTube analysis
Among 18 other demo videos tagged Machine learning & deep learning, the mean is 2.1 distinct HN recommenders. This video has 2 distinct HN recommenders, close to that mean. Recommendations span 3 distinct months; the peer average is 2.2 months. This is a data-derived comparison, not a human review or quality rating.
50% of its 6 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2014–2016; those years describe discussion history, not upload date. Its verified runtime is 4 minutes 41 seconds. YouTube lists its publication date as 2014-04-19.
- Channel / speaker
- Elizr
- Verified runtime
- 4m 41s
- YouTube upload date
- 2014-04-19
- Hacker News mention years
- 2014–2016
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other demo videos in Machine learning & deep learning. “Shared recommenders” counts HN users who recommended both videos in the source graph.
| Video | HN recommenders | Recommendation months | Positive label share | Shared recommenders | Runtime | Upload date |
|---|---|---|---|---|---|---|
| Deepmind artificial intelligence @ FDOT14Current video | 2 | 3 | 50% | — | 4m 41s | 2014-04-19 |
| MarI/O - Machine Learning for Video Gamesdemo · SethBling | 10 | 10 | 50% | No recorded overlap | 5m 58s | 2015-06-13 |
| Computer program that learns to play classic NES gamesdemo · suckerpinch | 9 | 10 | 53% | No recorded overlap | 16m 18s | 2013-04-02 |
| Playing a Neural Network's version of GTA V: GAN Theft Autodemo · sentdex | 3 | 4 | 33% | No recorded overlap | 17m 8s | 2021-06-18 |
THREE SOURCE-BASED CONTEXT POINTS
Why Hacker News recommends it
Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.
The archive classifies this as a strong recommendation in “Ask HN: What are some examples of beautiful software?”. Its short rationale: DeepMind Atari player demo, with tiny source code.
The archive classifies this as a contextual reference in “Why 2015 Was a Breakthrough Year in Artificial Intelligence”. Its short rationale: DeepMind Atari player uses score as reward.
The archive classifies this as a recommendation in “A General Feedback Theory of Human Behavior (1960)”. Its short rationale: DeepMind Atari reinforcement learning demo.