The Ultimate AI Blog Guide: Who to Read and Why 📚
If you're serious about understanding AI—beyond the headlines and hype—you need to follow people and companies who are shaping the field from the inside. These blogs are where researchers, engineers, and thinkers share raw insights, prototypes, and frameworks before they hit mainstream papers or products.
Whether you're building AI systems, researching frontier models, or just curious where the field is going—these are my go-to sources:
🧠 Top Individual Blogs to Level Up Your AI Thinking
1️⃣ Chip Huyen — huyenchip.com
A goldmine for understanding how to take AI from research to real-world products. Chip writes about ML systems, infrastructure, and lessons from deploying large models in production.
⭐ Best for: ML Engineers, MLOps pros, and founders scaling AI products.
2️⃣ Eugene Yan — eugeneyan.com
Eugene bridges the gap between academia and product by writing about real-world ML—how to build, deploy, and iterate on systems that work in the wild.
⭐ Best for: Data scientists and product-minded ML engineers.
3️⃣ Lilian Weng (Lil’Log) — lilianweng.github.io
Deep dives that feel like mini research papers—but with clear explanations. Lilian covers reinforcement learning, transformers, and the math behind AI with clarity.
⭐ Best for: Researchers and anyone wanting deep understanding of how modern models work.
4️⃣ Sebastian Raschka — sebastianraschka.com
Combines research and code beautifully. From papers explained to hands-on PyTorch and Python tutorials, Sebastian’s blog is both rigorous and approachable.
⭐ Best for: Anyone who learns by reading and coding.
5️⃣ Simon Willison — simonwillison.net
Simon explores LLMs from the perspective of a builder—he experiments with tools, workflows, and prototypes, then writes about how it all works (or doesn't).
⭐ Best for: Developers tinkering with LLMs and AI tools.
6️⃣ Andrej Karpathy — karpathy.github.io
When Karpathy posts, the AI world listens. Expect deeply philosophical and technical takes on neural nets, compute scaling, and the future of intelligence.
⭐ Best for: Visionaries, researchers, and autodidacts.
7️⃣ Nathan Lambert (Interconnects AI) — interconnects.ai
Nathan explores trends in open-source AI, alignment, and reinforcement learning—often breaking down cutting-edge papers and field shifts.
⭐ Best for: AI researchers and those tracking fast-moving ideas.
8️⃣ Ethan Mollick (One Useful Thing) — oneusefulthing.org
Ethan makes AI approachable, with a focus on how it impacts education, business, and creativity. Always fresh, always useful.
⭐ Best for: Founders, educators, and creatives exploring AI’s real-world utility.
9️⃣ Gwern — gwern.net
An archive of long-form essays on AI, decision-making, and long-term thinking. Deep, sometimes eccentric, always worth your time.
⭐ Best for: Rationalists, long-termists, and deep thinkers.
🔟 Sebastian Ruder — ruder.io
One of the best blogs for NLP and multilingual AI. If you want to stay up to date with research in language models and transfer learning, this is it.
⭐ Best for: NLP researchers and AI practitioners.
🏢 Must-Follow AI Company Blogs
🔹 Hugging Face — huggingface.co/blog
Where open-source magic happens. Model releases, transformers, datasets, and tooling—all explained by the team that’s democratizing AI.
🔍 Why follow: To stay updated on what’s open, trending, and usable today.
🔹 Anthropic — anthropic.com/research
Pioneers in AI safety and alignment. If you care about how models think and behave, their research is both technical and thoughtful.
🔍 Why follow: For deep dives into Constitutional AI and interoperability.
🔹 Sakana AI — sakana.ai/blog
From the creators of transformative ideas like model evolution and mixture-of-experts. Sakana explores how to rethink model design from the ground up.
🔍 Why follow: For experimental, nature-inspired AI research.
🔹 Sequoia Capital — sequoiacap.com
AI isn’t just about tech—it’s about market shifts. Sequoia shares insights from the frontlines of funding the next AI giants.
🔍 Why follow: To understand where the smart money sees AI headed.
🔹 a16z (Andreessen Horowitz) — a16z.com
Covers everything from AI infra to AI-native startups and markets. Their writing connects deep tech with macroeconomic and platform trends.
🔍 Why follow: For strategic views on AI as a business and movement.
🔹 Google DeepMind — deepmind.google
The original pioneers of AlphaGo and more. Their blog showcases research breakthroughs in reasoning, memory, and general intelligence.
🔍 Why follow: To learn where the frontier is—and where it’s going.
🔹 Meta AI — ai.meta.com/blog
Posts on LLMs, video models, AI at scale, and Meta’s research ecosystem. Technical, accessible, and often surprisingly open-source.
🔍 Why follow: For model releases and applied research at social scale.
📌 Bookmark This
Think of this as your AI reading list for 2025. Whether you're building, researching, or just curious, these blogs offer firsthand perspectives you won’t find in the headlines.