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Jeb model returns only judgments, up to 200 times faster

Jeb, a new AI model from the creators of InstructGPT, is designed to give only classification answers such as "Yes/No" or a numbered choice, skipping free‑form text. Reported by Tomohiro Ikeda on his YouTube channel, Jeb is said to be up to 200 times faster and 400 times cheaper than existing AI, with a response time of about 0.1 seconds.

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Key points

  • Jeb returns only classifications, up to 200 times faster and 400 times cheaper than existing models
  • Anthropic reports AI drives 26% of its R&D tasks
  • OpenAI will discontinue custom GPTs on December 11, moving them to read‑only skills

Ikeda demonstrated Jeb by comparing it to a cheap GPT model on tasks like refund status checks and call‑routing decisions. Jeb returned results in about 0.5 seconds, roughly 3‑4 times faster, while keeping classification accuracy nearly identical. He also integrated Jeb into a slide‑generation tool, showing that a process that used to take 10 minutes could be reduced to about 1 minute.

The video also covered other industry updates: Anthropic’s report that AI accounts for 26% of its R&D, Claude’s consolidated entry points, Gemini Notebook’s new voice and video features, and OpenAI’s plan to discontinue custom GPTs on December 11. Small‑business plugins for Claude now include 43 workflows and 27 integrations, and Meta announced a new “Meta One” plan for cross‑platform AI use.

Full story from note.com · by TAKERO · via Search: AnthropicOpen source ↗

AI that returns only judgments quickly emerges, and AI leads a quarter of Anthropic's R&D

note.com · 25 September 2026

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This text was published by note.com and written by TAKERO. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AnthropicOpenAIMetaGoogleAgentic AI FoundationJebClaudeGemini NotebookCustom GPTsChatGPTClaude CodeTomohiro Ikeda

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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