An Introduction to Jev
Give a coding model a specification, and it generates code. Give another model a document, and it generates a summary.This works extremely well when the output is intended for a human. TypeSafe was founded by Diogo Almeida, who previously worked at OpenAI and co-invented RLHF and InstructGPT, the methods that led to ChatGPT and GPT-4.
- ▪Give a coding model a specification, and it generates code.
- ▪Give another model a document, and it generates a summary.This works extremely well when the output is intended for a human.
- ▪TypeSafe was founded by Diogo Almeida, who previously worked at OpenAI and co-invented RLHF and InstructGPT, the methods that led to ChatGPT and GPT-4.
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Record
| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/an-introduction-to-jev/ |
| Publication time | Tue, 22 Sep 2026 11:00:01 GMT |
| Retrieval time | 2026-09-22T11:03:53.508Z |
| Last seen | 2026-09-22T11:03:53.508Z |
| 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 |
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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
Generative AIAn Introduction to JevThe AI that makes decisions instead of generating textThomas ReidSeptember 22, 202615 min readThe IT world is losing its mind over a new type of model released a few days ago.Most AI models we use today are built around one basic idea: give them input and ask them to generate text.Ask ChatGPT a question, and it generates an answer. Give a coding model a specification, and it generates code. Give another model a document, and it generates a summary.This works extremely well when the output is intended for a human.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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