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demo · HACKER NEWS RECOMMENDATION

Stealing Baseball Signs with a Phone (Machine Learning)

Mark Rober · 3 HN recommenders · 3 recommendation months

YouTube

Recommended by 3 Hacker News commenters across 3 months (2019–2023).

SignalTube analysis

Among 18 other demo videos tagged Machine learning & deep learning, the mean is 2.1 distinct HN recommenders. This video has 3 distinct HN recommenders, about 1.5× 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.

60% of its 5 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2019–2023; those years describe discussion history, not upload date. A verified runtime is not present in the current metadata snapshot. A verified YouTube publication date is not present in the current metadata snapshot.

Channel / speaker
Mark Rober
Verified runtime
Not verified in the current YouTube metadata
YouTube upload date
Not verified
Hacker News mention years
2019–2023

SAME TOPIC AND FORMAT

Compare with related videos

18 peers

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.

VideoHN recommendersRecommendation monthsPositive label shareShared recommendersRuntimeUpload date
Stealing Baseball Signs with a Phone (Machine Learning)Current video3360%—Not verified in the current YouTube metadataNot verified
MarI/O - Machine Learning for Video Gamesdemo · SethBling101050%No recorded overlapNot verifiedNot verified
Computer program that learns to play classic NES gamesdemo · suckerpinch91053%No recorded overlapNot verifiedNot verified
Playing a Neural Network's version of GTA V: GAN Theft Autodemo · sentdex3433%No recorded overlapNot verifiedNot verified

THREE SOURCE-BASED CONTEXT POINTS

Why Hacker News recommends it

5 mentions

Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.

strong rec2023-07Original HN comment ↗

The archive classifies this as a strong recommendation in “Ask HN: What YouTube channels do you watch with your kids?”. Its short rationale: Explains neural nets and machine learning in a way that riveted kids.

The archive classifies this as a joke in “The cheating scandal that nearly ruined baseball”. Its short rationale: the source snapshot has no short rationale for this mention.

reference2021-06Original HN comment ↗

The archive classifies this as a contextual reference in “The cheating scandal that nearly ruined baseball”. Its short rationale: Shows ML decrypting baseball signs easily.