> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

---
title: "Blogs & Publications"
url: https://daily.dev/agentic-ai-hub/blogs-publications/
description: "OpenAI Blog: openai.com/news. Launches and research. The announcement of record."
lastUpdated: "2026-07-22"
---

## Lab / org research blogs

- **OpenAI Blog**: [openai.com/news](https://openai.com/news/). Launches and research. The announcement of record.  
- **Anthropic**: [anthropic.com/news](https://www.anthropic.com/news) and **Research** at [anthropic.com/research](https://www.anthropic.com/research). Interpretability, alignment, and Claude/Claude Code releases. The interpretability posts are unusually readable.  
- **Google DeepMind**: [deepmind.google/discover/blog](https://deepmind.google/discover/blog/). Gemini, the AlphaFold lineage, and frontier science.  
- **Hugging Face Blog**: [huggingface.co/blog](https://huggingface.co/blog). Open-source work: fine-tuning, quantization, and new-model deep dives. 🔄  
- **Meta AI / FAIR**: [ai.meta.com/blog](https://ai.meta.com/blog/). Llama lineage and open research.  
- **Ai2 (Allen Institute)**: [allenai.org/blog](https://allenai.org/blog). Fully-open models (OLMo/Tülu) with training details others omit.  
- **Mistral AI**: [mistral.ai/news](https://mistral.ai/news). The European open-weight lab's model releases and research notes.  
- **Microsoft Research**: [microsoft.com/research/blog](https://www.microsoft.com/en-us/research/blog/). Deep in-house work on agents, systems, and HCI; often ahead of the product cycle.  
- **Qwen (Alibaba)**: [qwenlm.github.io/blog](https://qwenlm.github.io/blog/). Primary source for the Qwen open-weight family's releases and technical reports. 🔄

## Individual voices

- **Simon Willison**: [simonwillison.net](https://simonwillison.net/). A practical-LLM log documenting what current models can do; a good single individual blog to read.  
- **Armin Ronacher**: [lucumr.pocoo.org](https://lucumr.pocoo.org/). Long-form on agentic coding ("The Coming Loop," "Tools: Code Is All You Need," "A Year of Vibes"). Candid about what didn't work.  
- **Addy Osmani**: [addyosmani.com/blog](https://addyosmani.com/blog/). LLM coding workflows, "cognitive surrender," and web performance; also on [Substack](https://addyosmani.substack.com/).  
- **Andrej Karpathy**: [karpathy.ai](https://karpathy.ai/) / [karpathy.github.io](https://karpathy.github.io/). Occasional landmark essays (e.g., "Software 2.0/3.0" thinking). His YouTube is more active than the blog.  
- **Peter Steinberger**: [steipete.me](https://steipete.me/). Field notes from building OpenClaw and working inside agent loops. 🔄  
- **Dan Shapiro**: [danshapiro.com](https://www.danshapiro.com/blog/). Glowforge CEO. Founder-perspective essays on applying AI in a real hardware and product business.  
- **Chip Huyen**: [huyenchip.com/blog](https://huyenchip.com/blog/). ML systems and AI engineering in production; author of *AI Engineering* ([Learning Paths, Courses & Books](/agentic-ai-hub/learning-paths-courses-books/)).  
- **Lilian Weng**: [lilianweng.github.io](https://lilianweng.github.io/). Survey-style deep dives (agents, hallucination, diffusion), free and textbook-quality.  
- **Sebastian Raschka**: [sebastianraschka.com](https://sebastianraschka.com/). Companion to *Ahead of AI*. From-scratch LLM implementation walkthroughs.

## News outlets & aggregators

- **The Verge (AI)**: [theverge.com/ai-artificial-intelligence](https://www.theverge.com/ai-artificial-intelligence). Consumer and industry news, well-reported.  
- **Ars Technica (AI)**: [arstechnica.com/ai](https://arstechnica.com/ai/). Technical, skeptical, thorough.  
- **MIT Technology Review (AI)**: [technologyreview.com/topic/artificial-intelligence](https://www.technologyreview.com/topic/artificial-intelligence/). Deeper features and societal framing.  
- **Hacker News**: [news.ycombinator.com](https://news.ycombinator.com/). Not a publication, but the comment threads on an AI launch are often more informative than the article.