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.
Andrej Karpathy est un chercheur et ingénieur en intelligence artificielle, reconnu pour ses travaux sur le deep learning, les LLMs et la compréhension des systèmes intelligents. Sur son blog, il partage des réflexions claires et profondes sur l’IA, la cognition, la programmation et l’impact sociétal de la technologie.
John Langford writes deeply analytical essays on machine learning theory, AI research, and the limits of current architectures. His work explores sample efficiency, representation, long-term memory, and how future AI systems might move beyond today’s transformer-based models.
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.
James Le leads Developer Experience at Twelve Labs, building foundation models for video understanding and advancing production ML and data infrastructure. A former ML advocate and data science journalist, he also hosts Datacast and writes Data Notes on industry, research, and careers in AI.
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.
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.
Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.
John D. Cook provides expert consulting in applied mathematics and data privacy, helping clients from tech, biotech, and legal industries—including Amazon, Google, Microsoft, and Amgen—solve complex problems efficiently.
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.
