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  • llm 0.36

    Release: llm 0.36 New OpenAI models: gpt-6-sol for GPT-6 Sol and gpt-6-luna for GPT-6 Luna. #1702 Model plugins can now declare supports_conversation = False for models that only accept single-turn prompts.

    Simon Willison1 min read
  • llm-anthropic 0.29

    Release: llm-anthropic 0.29 Adds support for Claude Opus 5.5: llm -m claude-opus-5.5 "prompt goes here" Tags: llm, anthropic

    Simon Willison1 min read
  • llm-typesafe 0.1a0

    Release: llm-typesafe 0.1a0 I built this new plugin for LLM to add support for TypeSafe AI's new Jev model. Install it like this: llm install llm-typesafe Then set an API key (get one here, the waitlist seems to move pretty fast): llm keys set typesafe # Paste key And now you can ask yes/no "noul"…

    Simon Willison2 min read
  • llm-keys-ui 0.1

    Release: llm-keys-ui 0.1 This plugin solves a very specific problem. I've started using Codex Remote to run coding agents on various machines while controlling them from my phone. Sometimes I use those machines to hack on LLM projects, and occasionally that means I need to configure an API key.

    Simon Willison2 min read
  • Pacing != Pacing Development

    My take on AI model pacing as a framework for release checks and the competitive pressure around model releases.

    Sebastian Raschka1 min read
  • OpenAI Astra and Looped Transformers

    A short note on OpenAI Astra, recurrent depth, looped transformers, Nanbeige 4.2, and the Mixture-of-Recursions paper.

    Sebastian Raschka3 min read
  • Reasoning Models From Scratch: Code Setup

    A short video on how conventional LLMs relate to reasoning models and agents, along with Python and PyTorch setup using uv.

    Sebastian Raschka1 min read
  • Two Live Book Club Q&As on September 3

    Two free live book club Q&A sessions on September 3 about Build a Reasoning Model From Scratch and related reader questions.

    Sebastian Raschka1 min read
  • GLM-5.3-Flash Architecture Notes

    Architecture note on GLM-5.3-Flash, formerly Ox Alpha, covering its KDA and MLA/DSA hybrid attention, sparse MoE backbone, and four-stream mHC residual path.

    Sebastian Raschka1 min read
  • Deploy AI Apps on CPU, Not a GPU

    Full Video: https://youtu.be/6wBW0KRZi94 Join as a member to access AI Projects & Member only videos. https://www.youtube.com/channel/UCAHa1-TnXAJrkDVMHbcP1Sw/join Do you really need a GPU to build and deploy AI applications? Many beginners think that every AI application needs a GPU.

    Applied with AI

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