I'm So Tired of "Is This AI?"
I'm So Tired of "Is This AI?" The Substack witch hunt beginsStephen MooreJul 23, 20261615ShareSubstack in 2026AI detection is a futile exercise, and one will that will not matter in a few years time. The share of AI-generated articles has already surpassed human-created, and whether you like it or not, you are interacting with LLM-influenced work all the time. We’ve reached the critical mass, and there’s no going back unless the entire ecosystem collapses (in fairness, can’t rule that out yet).
- ▪I'm So Tired of "Is This AI?" The Substack witch hunt beginsStephen MooreJul 23, 20261615ShareSubstack in 2026AI detection is a futile exercise, and one will that will not matter in a few years time.
- ▪The share of AI-generated articles has already surpassed human-created, and whether you like it or not, you are interacting with LLM-influenced work all the time.
- ▪We’ve reached the critical mass, and there’s no going back unless the entire ecosystem collapses (in fairness, can’t rule that out yet).
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,392 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Hacker News (AI / LLM) |
| Canonical URL | https://www.trend-mill.com/p/im-so-tired-of-is-this-ai |
| Publication time | Fri, 24 Jul 2026 09:44:42 +0000 |
| Retrieval time | 2026-07-24T09:52:36.142Z |
| Last seen | 2026-07-24T09:52:36.142Z |
| 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 | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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
I'm So Tired of "Is This AI?" The Substack witch hunt beginsStephen MooreJul 23, 20261615ShareSubstack in 2026AI detection is a futile exercise, and one will that will not matter in a few years time. The share of AI-generated articles has already surpassed human-created, and whether you like it or not, you are interacting with LLM-influenced work all the time. We’ve reached the critical mass, and there’s no going back unless the entire ecosystem collapses (in fairness, can’t rule that out yet). AI detectors are unreliable, easily gamed and produce far too many false positives. The biggest irony here is that they are trained on mountains of human-written content, and now use that as a measuring stick to decide what’s human or not.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).