AI Signal Sources¶

This page tracks high-signal sources worth monitoring for model updates, tooling direction, safety changes, and practical engineering patterns.

Company Engineering and Research Blogs¶

Source	Focus	URL
OpenAI Research	Research papers, evaluations, model internals, safety work	https://openai.com/research/
OpenAI Product/Company Updates	Product releases and major platform changes	https://openai.com/index/
Anthropic News	Claude releases, safety policy, and partner integrations	https://www.anthropic.com/news
Mistral News	Model launches, API capabilities, and research notes	https://mistral.ai/news
Google DeepMind	Research milestones and applied AI updates	https://blog.google/technology/google-deepmind/
Meta AI Blog	Research publications and open model announcements	https://ai.meta.com/blog/
Microsoft Research Blog	Applied and foundational AI research updates	https://www.microsoft.com/en-us/research/blog/
NVIDIA Technical Blog	AI infrastructure, inference, and performance engineering	https://developer.nvidia.com/blog/
Hugging Face Blog	Open-source ecosystem updates, tutorials, and model tooling	https://huggingface.co/blog
Cohere Blog	Enterprise AI engineering and model/product updates	https://cohere.com/blog

Author	Why follow	URL
Simon Willison	Fast, practical analysis of LLM tooling and agent workflows	https://simonwillison.net/
Lilian Weng (Lil'Log)	Deep technical explainers on modern model behavior and methods	https://lilianweng.github.io/
Chip Huyen	Strong coverage of production AI/ML systems design tradeoffs	https://huyenchip.com/
Sebastian Raschka	Reproducible, code-first breakdowns of current LLM research	https://sebastianraschka.com/blog/
Nathan Lambert (Interconnects)	Clear frontier-model research commentary from a practitioner lens	https://www.interconnects.ai/
Latent Space	Engineering-focused interviews and implementation patterns	https://www.latent.space/