YouTube's AI Detection Kicked Us in the Face
Kurzgesagt@Kurz_GesagtYouTube’s AI Detection Kicked Us in the Face Every creator's worst nightmare just happened to us: The YouTube algorithm actually blocked us. Some videos started showing strange view fluctuations. Our second to last video did very badly, but this just happens sometimes, so we didn’t think that much about it.
- ▪Kurzgesagt@Kurz_GesagtYouTube’s AI Detection Kicked Us in the Face Every creator's worst nightmare just happened to us: The YouTube algorithm actually blocked us.
- ▪Some videos started showing strange view fluctuations.
- ▪Our second to last video did very badly, but this just happens sometimes, so we didn’t think that much about it.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,033 of its stories.
Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | X (formerly Twitter) |
| Canonical URL | https://twitter.com/Kurz_Gesagt/status/2083191397981561232 |
| Publication time | Fri, 07 Aug 2026 20:50:09 +0000 |
| Retrieval time | 2026-08-07T20:55:43.845Z |
| Last seen | 2026-08-07T20:55:43.845Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 1aJf9z-yxgkQ · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Kurzgesagt@Kurz_GesagtYouTube’s AI Detection Kicked Us in the Face Every creator's worst nightmare just happened to us: The YouTube algorithm actually blocked us. It started slowly at first. Some videos started showing strange view fluctuations. Our second to last video did very badly, but this just happens sometimes, so we didn’t think that much about it. But then our last video, about Superpredators, did *extremely* badly. It was our worst upload since 2013. But it did badly in a weird way: Almost every single metric was well above average: People clicked the video more often and watched it for longer, and the people who watched it, on average, loved it! So it should have been at the very least an average upload, not the worst in over a decade.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at X (formerly Twitter).
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