I am against GenAI and everything it stands for
The author expresses strong opposition to generative AI, arguing that it is harmful to humanity and driven by capitalist motives. They claim that generative AI relies on stolen human-created content and is used to generate misinformation, exacerbating societal issues. The article warns of the negative consequences of generative AI on various industries and political landscapes.
- ▪Generative AI is trained on vast amounts of stolen human-created content from the internet.
- ▪The author believes that generative AI is a tool for misinformation and can manipulate public opinion.
- ▪There are concerns that generative AI will lead to negative societal impacts and increased political extremism.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Lpcvoid |
| Canonical URL | https://lpcvoid.com/blog/0018_why_i_am_against_genai/index.html |
| Publication time | Sat, 30 May 2026 20:44:45 +0000 |
| Retrieval time | 2026-05-30T20:59:46.480Z |
| Last seen | 2026-05-30T20:59:46.480Z |
| 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 | hbuPb48DB09a |
| 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
It's been a few years since I posted a blogpost. It's time to do so again, good ol' "screaming into the void" as they say. But something changed. This time, I scream not into the void, but into a churning mess of scraper bots, eager to slurp up human written content so that it may be digested in a long pipeline of training data intended for the newest hype-technology: generative AI. After cryptocurrency and NFTs, AI is the next big thing pushed by people who don't have good intentions, but this time, it's a lot worse than previously, and it's very likely here to stay. So buckle up, buckaroos, it's a wild ride. GenAI (generative AI) is a wide term. GenAI can mean LLMs which generate text, as well as models which generate media such as images or videos.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Lpcvoid.
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