AI learns language from skewed sources. It could change how humans speak/think
That could change how we humans speak – and thinkThis article is more than 3 months oldAda Palmer and Bruce SchneierLarge language models aren’t trained on real-life conversations. As we encounter their language, it could affect our ownTue 14 Apr 2026 08.00 EDTLast modified on Fri 24 Apr 2026 12.36 EDTShareBecause of the way they are trained, large language models capture only a slice of human language. They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on television.
- ▪That could change how we humans speak – and thinkThis article is more than 3 months oldAda Palmer and Bruce SchneierLarge language models aren’t trained on real-life conversations.
- ▪As we encounter their language, it could affect our ownTue 14 Apr 2026 08.00 EDTLast modified on Fri 24 Apr 2026 12.36 EDTShareBecause of the way they are trained, large language models capture only a slice of human language.
- ▪They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on television.
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Record
| Original publisher | the Guardian |
| Canonical URL | https://www.theguardian.com/commentisfree/2026/apr/14/ai-language-human-speech |
| Publication time | Sun, 02 Aug 2026 17:14:50 +0000 |
| Retrieval time | 2026-08-02T17:20:40.914Z |
| Last seen | 2026-08-02T17:20:40.914Z |
| 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 | nIsJwTbpf2dn · 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
‘Writing or speaking our thoughts is often how we realize what we think.’ Photograph: DCPhoto/AlamyView image in fullscreen‘Writing or speaking our thoughts is often how we realize what we think.’ Photograph: DCPhoto/AlamyOpinionAI (artificial intelligence) This article is more than 3 months oldAI learns language from skewed sources. That could change how we humans speak – and thinkThis article is more than 3 months oldAda Palmer and Bruce SchneierLarge language models aren’t trained on real-life conversations. As we encounter their language, it could affect our ownTue 14 Apr 2026 08.00 EDTLast modified on Fri 24 Apr 2026 12.36 EDTShareBecause of the way they are trained, large language models capture only a slice of human language.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at the Guardian.
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