Coding with Intelligence
Rick LamersCoWI is a weekly newsletter covering the latest developments in Large Language Models and Machine Learning. Get the latest News, Repos, Demos, Products, and Papers.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 71 | Founded | 3 years ago | Last Issue | 6 months ago |
| Active | |||||
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codingwithintelligence.comLatest Issues
An update from Coding with Intelligence
Hi all, things have been crazy busy at Groq, with some very exciting releases coming up. As a result I haven’t been able to dedicate time to documenting what is happening in AI as much as I would have liked.
To integrate things in a way th...
New frontier? Continuous learning and RL environment scaling
📰 News
- Trust me bro, just one more RL scale up, this one is the real one with the good envs
Chief scientist Ryan Greenblatt at Redwood Research saying the quiet part out loud. There's been a lot of attention for RL environments as a...
Qwen team drops 3 (!) SOTA models in one week
Qwen3-Coder benchmark scores
📰 News
- Qwen releases Qwen3-Coder + a fork of gemini-cli for a terminal coding agent
It is a large MoE model (Qwen3-Coder-480B-A35B-Instruct) with almost double the active parameters compared to the updat...
Going deep on Reasoning + Agents
MiniMax-M1 performance across major benchmarks
📰 News
- MiniMax releases two strong open LLM
A very interesting release that you shouldn't ignore. Noteworthy for truly competitive SOTA performance across tasks (range of Claude 4, Qwen...
Claude 4, Qwen 3 & DeepSeek R1 0528: model capabilities keep increasing
Qwen 3 showing SOTA performance
Note: this newsletter edition got a bit long, open in the browser to see the full post.
📰 News
- OpenAI releases cloud coding agent Codex
Confusingly named Codex, which is also the name of their open s...
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Authors
The writers behind this newsletter.
Hi! I'm a Senior AI Researcher/Engineer. -> Python, Lang*, GPT*, HF, PyTorch & more. CoWI is a weekly newsletter covering the latest developments in Large Language Models and Machine Learning.
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