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The zartbot/blog repository functions as a technical knowledge base and discussion forum primarily focused on cloud-native networking, high-performance computing (HPC), and system-level optimization. The issues section serves as a collection of long-form articles and engineering deep dives where the author, zartbot (a notable engineer in the networking and AI infrastructure space), explores advanced topics such as SD-WAN architecture, RDMA/RoCE virtualization, BGP and cloud-scale routing protocols, and GPU networking for AI training. By leveraging GitHub Issues as a blogging platform, the repository facilitates technical discourse on specialized subjects like NetDAM (Network Direct Attached Memory) and the trade-offs of the CAP theorem in modern distributed systems, catering to a professional audience of network architects and system programmers.
Lil’Log (lilianweng.github.io) is the personal blog of Lilian Weng, where she documents her explorations in AI, machine learning, and deep learning research. She publishes well-researched, thoughtful essays on topics like large language models, diffusion models, generative AI, hallucination in LLMs, reinforcement learning, model inference, and more. The posts often include background theory, recent progress, tradeoffs, and references to academic papers — making it a bridge between cutting-edge research and accessible discussion for technical audiences.
Shunyu Yao’s site showcases his work as a researcher at OpenAI, focusing on “agents” — systems that perceive, reason, and take actions in digital environments. The site features his selected publications, including papers such as ReAct, Tree of Thoughts, Deep Research, and SWE-agent, along with links to repo, talks, benchmarks, and blog posts. It reflects an overarching interest in how language models can be structured not just to predict text, but to act, interact, evaluate, and generalize — moving toward agents that integrate reasoning and action. The writing and work are forward-looking, engaging questions about what constitutes evaluation, how digital environments should be designed, and what the “second half” of AI might look like.
At Anthropic, engineering centers on building AI systems that are reliable, interpretable, and steerable—especially through things like agents and tool integrations. Their team publishes about how they enable Claude (their AI model) to use tools well, optimize performance, and evaluate tools rigorously. They also talk about internal research efforts like scaling interpretability, making features behaving predictably, and improving developer workflows. Their engineering blog shows not just what they build, but how they think about safety, feedback loops, and tooling to support clean, robust, agent-based AI systems.
Thinking Machines Lab is an AI research & product company founded in 2025 by Mira Murati. Their blog—titled “Connectionism”—serves as a public window into their work, promising technical posts, research, and code releases. Their mission is to make frontier AI systems easier to understand, customize, and reliably determinable (e.g. tackling nondeterminism in inference), while emphasizing human-AI collaboration, model intelligence, infrastructure quality, and safety.
Simon Willison—co-creator of the Django web framework and creator of the open-source tool Datasette—has been blogging since 2002 about web development, data journalism, AI tooling, and LLMs. His site features fast, insightful entries—including project demos like EmbeddingGemma and semantic tools like the “Semantic Galaxy”—plus thoughtful reflections on topics like prompt engineering and AI agents. Willison also publishes both free and paid newsletters, maintains all his posts on a custom Django-powered site, and continues contributing to open-source and tech communities.
Andrej Karpathy’s Blog is the personal website of Andrej Karpathy, an AI researcher and educator known for his work in deep learning and large language models. The blog features a mix of technical content, personal reflections, and educational resources. Notably, Karpathy offers a self-hosted, minimalist blog experience, emphasizing simplicity and directness in his writing. His posts cover topics such as the philosophy of technology, personal anecdotes, and insights into AI development. Additionally, Karpathy has launched Eureka Labs, an AI+Education company, and shares educational videos on his YouTube channel, focusing on deep learning and large language models.