Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
280 stories
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Notes on MiMo-V2.6 Pro's GQA and sliding-window attention, agent training tasks, reward signals, and large RL batches.
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.
Release: llm-anthropic 0.29 Adds support for Claude Opus 5.5: llm -m claude-opus-5.5 "prompt goes here" Tags: llm, anthropic
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"…
A short note on Jev's generalization, possible encoder-style architecture and training, and Choice and Noul API examples.
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.
Prompt injection hijacks your LLM via user input, retrieved docs, and tool results. Three attack surfaces, and the defenses that actually work in production.
My take on AI model pacing as a framework for release checks and the competitive pressure around model releases.
A 90-minute LinkedIn Learning course on how reasoning models relate to conventional LLMs and how they are developed.
How to fix CVE-2026-71416: upgrade headroom-ai to 0.35.0 If a browser on your network can open ws://your-host:8787/v1/responses , it can ride Headroom's…
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A short note on OpenAI Astra, recurrent depth, looped transformers, Nanbeige 4.2, and the Mixture-of-Recursions paper.
A short video on how conventional LLMs relate to reasoning models and agents, along with Python and PyTorch setup using uv.
Two free live book club Q&A sessions on September 3 about Build a Reasoning Model From Scratch and related reader questions.
Why LLMs hallucinate, the three error types, prompting patterns that reduce them, and the one production eval that catches failures before your users see them.
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.
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.
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