Post by **Michelle Chen, Alex Reneau and Kevin Flansburg**, published on **October 1, 2026** on the **Cloudflare** blog (~10-minute read, "AI Birthday" week). Cloudflare releases **Clef** and **Clef-flash**, its first in-house trained models, hosted on **Workers AI** and distributed as open source (Apache 2.0, Hugging Face), along with a reinforcement-learning fine-tuning service.
#Clef#Clef-flash#decision model
Michelle Chen · Alex Reneau · Kevin Flansburg — équipe Workers AI / plateforme IA · blog Cloudflare.
Technical documentation page from **GPT Researcher**, *"Context Filter"*, rewritten on **September 26, 2026** by **Assaf Elovic**, the project's creator, the day he made **Jev** (a model from **TypeSafe**) the default context filter. About **2,200 words**, including a reproducible benchmark. **(A)** The design thesis: the context filter is *"the biggest lever on report quality after the research itself"*: *"what it discards, the writer never sees"*. **(B)** The mechanism: each scraped page is split into **1,000-character** chunks. Jev scores each chunk on a four-level usefulness scale (0 to 3), and only chunks at **≥ 1.5** are kept, ten at most. Without an API key, a local **BM25** fallback with a relative threshold takes over. **(C)** The benchmark: 28 tasks replayed on the same pages. **73%** relevant passages for Jev versus **46%** for embeddings, **15-10-3** in head-to-head, at the same cost (~$0.115 per report). **(D)** The most transferable finding: *"the threshold matters more than the ranking"*. Without a threshold, Jev drops back to 50%. The gain comes from less noise, not more content. Extends, on the web-search side, the comparison of retrieval strategies from [[comparethemarket-context-retrieval-ai-code-review-gkg-rag-2026-03-06]].
#context filter#context filter#passage selection
Assaf Elovic · créateur de GPT Researcher · auteur de la page (documentation officielle docs.gptr.dev, non signée).
Announcement by **Diogo Almeida**, founder of **TypeSafe AI** (formerly of OpenAI, where he worked on instruction-following training methods), published on **September 15, 2026** on the company blog (~2,500 words). The text introduces a new class of models, **System One Models**, and their first model, **Jev**, in early access.
#System One#decision model#Jev
Diogo Almeida — fondateur de TypeSafe AI · ancien chercheur chez OpenAI (billet du blog d'entreprise).