Languages as designed latent spaces
This post is an edited version of a Mastodon thread I wrote recently. I have been thinking recently about how language is a high entropy latent space and what that means. Latent spaces are sort of magic: they don’t just reduce the dimensionality of a higher dimensional space, they also constrain it such that arbitrary movement in the latent space maps to some meaningful position in the higher dimensional space.
- ▪This post is an edited version of a Mastodon thread I wrote recently.
- ▪I have been thinking recently about how language is a high entropy latent space and what that means.
- ▪Latent spaces are sort of magic: they don’t just reduce the dimensionality of a higher dimensional space, they also constrain it such that arbitrary movement in the latent space maps to some meaningful position in the higher dimensional spa
2 outlets in our directory ran this story, first to last over 13 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Languages as designed latent spaces — Lobsters
Lobsters files mainly under programming. We currently carry 187 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 | Jsbarretto |
| Canonical URL | https://blog.jsbarretto.com/post/languages-as-latent-spaces |
| Publication time | Sat, 25 Jul 2026 10:13:27 -0500 |
| Retrieval time | 2026-07-26T10:34:30.575Z |
| Last seen | 2026-07-26T10:34:30.575Z |
| 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 | bR5hwO_OxOAK · 2 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
This post is an edited version of a Mastodon thread I wrote recently. I have been thinking recently about how language is a high entropy latent space and what that means. Latent spaces are sort of magic: they don’t just reduce the dimensionality of a higher dimensional space, they also constrain it such that arbitrary movement in the latent space maps to some meaningful position in the higher dimensional space. Think about how almost any textual prompt you give to an image generator results in a picture with recognisable shape and form, yet the vast majority of the possible images are basically just random noise. Language is, obviously, like this.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Jsbarretto.
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