Xavi Amatriain writes about AI, machine learning, and recommendation systems, sharing insights from his work at Google, Netflix, and Curai Health. He explores LLMs, software development, AI strategy, and human-centric technology.
P. Galeone is a software engineer and writer focused on cloud infrastructure, AI systems, and technological sovereignty. His work explores practical implementations in Go and Python, AI-driven automation, and the societal implications of dependence on foreign cloud and digital platforms.
Benny Cheung is a software engineer and AI enthusiast focused on building intelligent systems and agent-driven workflows. His writing covers AI agent orchestration, edge AI, local-first architectures, and AI-powered automation for real-world applications.
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.
Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.
Will Vincent is a developer and writer who blogs about software, AI tools, books, and technology culture, with a focus on thoughtful reviews and practical insights. His site features essays on Django, GitHub Copilot, and how AI is shaping modern development.
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.
Richard Feynman is a writer exploring the deep foundations of machine learning, mathematics, and quantitative finance. His work focuses on intuition-first explanations of probability, statistics, linear algebra, and modern models like large language models.
Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.
Michelle Barker is a front-end developer and writer behind CSS { In Real Life }, a blog dedicated to modern CSS and real-world web development. She shares honest, practical insights on evolving CSS features, front-end techniques, and the web community.
Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.
Igor Susmelj is co-founder of Lightly, an ETH Zurich spin-off focused on simplifying large-scale datasets for deep learning. He writes about data pipelines, data annotation, and efficient ML workflows.
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.
Robin Moffatt is a Principal DevEx Engineer and seasoned conference speaker with 15+ years of experience presenting at top events like QCon, Devoxx, Kafka Summit, and Strata. He shares insights on developer experience, distributed systems, and cloud technologies through his blog, YouTube, and public talks.
Jeremy Howard leads Answer.AI, an AI R&D lab building practical applications from cutting-edge research. He focuses on AI, open-source tools, and educational platforms to help developers and researchers solve real-world problems efficiently.
Cristian Schmitt Nieto is a Lead Consultant at Devoteam specializing in Hybrid Cloud, Azure Local, and Azure Virtual Desktop. He shares hands-on experience bridging on-prem infrastructure with modern Microsoft cloud solutions.
Hugo Barona is an Azure MVP and Cloud Solutions Architect sharing expertise on cloud adoption, architecture, and digital transformation.
Geert Baeke explains how to build a cloud-native AI Agent Server using AG-UI and Microsoft Agent Framework, showcasing a Python backend with real-time streaming, standardized agent communication, and Azure-ready deployment.
