talk · HACKER NEWS RECOMMENDATION
Building the Software 2 0 Stack (Andrej Karpathy)
Databricks · 1 HN recommenders · 1 recommendation months
Recommended by 1 Hacker News commenters across 1 months (2019–2022).
SignalTube analysis
Among 37 other talk videos tagged Machine learning & deep learning, the mean is 2.8 distinct HN recommenders. This video has 1 distinct HN recommenders, below that mean. Recommendations span 1 distinct month; the peer average is 2.6 months. This is a data-derived comparison, not a human review or quality rating.
33% of its 3 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2019–2022; those years describe discussion history, not upload date. Its verified runtime is 17 minutes 55 seconds. YouTube lists its publication date as 2018-08-29.
- Channel / speaker
- Databricks
- Verified runtime
- 17m 55s
- YouTube upload date
- 2018-08-29
- Hacker News mention years
- 2019–2022
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other talk 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 |
|---|---|---|---|---|---|---|
| Building the Software 2 0 Stack (Andrej Karpathy)Current video | 1 | 1 | 33% | — | 17m 55s | 2018-08-29 |
| USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?talk · USENIX | 10 | 10 | 50% | No recorded overlap | 51m 22s | 2018-08-16 |
| Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learningtalk · Google TechTalks | 9 | 7 | 82% | No recorded overlap | 48m 10s | 2011-04-11 |
| [1hr Talk] Intro to Large Language Modelstalk · Andrej Karpathy | 9 | 6 | 45% | No recorded overlap | 59m 48s | 2023-11-23 |
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 contextual reference in “/r/StableDiffusion – Mod here – My side of the story”. Its short rationale: Source for the term software 2.0.
The archive classifies this as a recommendation in “Launch HN: Aquarium (YC S20) – Improve Your ML Dataset Quality”. Its short rationale: Quick talk on building the next software stack.
The archive classifies this as a contextual reference in “Tesla Live Stream – Autonomy Day [video]”. Its short rationale: Karpathy on non-neural-network software shrinking.