Brendan O’Connor is a researcher and data scientist writing about programming languages, data analysis, and machine learning. His work bridges Python, R, and Java, with thoughtful essays on software tools, research workflows, and empirical data exploration.
Daniel Miessler is a cybersecurity and AI engineer turned founder, based in the San Francisco Bay Area. He shares insights on cybersecurity, artificial intelligence, technology, and human behavior through essays, tutorials, and technical content on his blog.
Ben Recht is a researcher and writer exploring the history, theory, and practice of decision-making by humans and machines. On arg min, he covers optimization, machine learning, cybernetics, and occasional reflections on music and culture.
Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.
Jay Mody is a software engineer and writer sharing clear, concise explanations of machine learning concepts and numerical computing. His blog focuses on intuition-driven deep dives into topics like GPT, attention, and efficient NumPy implementations.
Jay Alammar is an educator and author known for visualizing machine learning and LLM concepts through clear, illustrated guides. He teaches thousands of learners and co-authored Hands-On Large Language Models.
Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.
Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.
Yoel Zeldes is an algorithm engineer at AI21 Labs with a background in computer science from Hebrew University. He specializes in machine learning, NLP, computer vision, and distributed computing, focusing on data-driven solutions and clean, elegant code.
Mitchell Hashimoto is a software developer and co-founder of HashiCorp, now working on Ghostty, a modern terminal emulator. He previously led and built major DevOps tools like Terraform, Vault, and Consul, and shares insights from engineering and aviation.
Domenic Denicola is a former browser engineer and web standards contributor, known for his work on JavaScript promises, modules, streams, and WHATWG APIs. He writes about web platform design, performance, and emerging AI capabilities in the browser.
Simon Willison — Independent developer and writer documenting practical experiments, tools, and deep analysis around large language models, generative AI, web development, security, and emerging programming workflows through detailed posts and daily TILs.
SebastianRaschka.com is the personal blog of Sebastian Raschka, PhD, an LLM research engineer whose work bridges academia and industry in AI and machine learning. On his blog and notes section he publishes deep, well-documented articles on topics such as LLMs (large language models), reasoning models, machine learning in Python, neural networks, data science workflows, and deep learning architecture. Recent posts explore advanced themes like “reasoning LLMs”, comparisons of modern open-weight transformer architectures, and guides for building, training, or analyzing neural networks and model internals.
SimonWillison.net is the long-running blog of Simon Willison, a software engineer, open-source creator, and co-author of the original Django framework. He writes about Python, Django, Datasette, AI tooling, prompt engineering, search, databases, APIs, data journalism, and practical software architecture. The blog includes detailed notes from experiments, conference talks, and real projects. Readers will find clear explanations of topics such as LLM workflows, SQL patterns, data publishing, scraping, deployment, caching, and modern developer tooling. Simon also publishes frequent micro-posts and TIL entries that document small discoveries and tricks from day-to-day engineering work. The tone is practical and research oriented, making the site a valuable resource for anyone interested in serious engineering and open data.
Waldek Mastykarz – Insights on Microsoft 365 Development and Community Practices Waldek Mastykarz is a Developer Advocate at Microsoft who helps developers get the most out of the Microsoft 365 platform. On his blog, he shares hands-on guidance, tips, and real-world examples for building apps, automations, and extensions for Microsoft 365. As a core contributor to Microsoft 365 Patterns & Practices, he collaborates with the global developer community to create open-source tools, reusable templates, and best-practice documentation that make extending Microsoft 365 easier and more consistent. Before joining Microsoft, Waldek spent years working with partners across the Microsoft ecosystem and earned the title of Microsoft MVP twelve times for his community work. His writing reflects both deep technical knowledge and a passion for sharing practical insights that help other developers succeed.
