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.
9 articles from this blog
A summary of a RecSys 2025 keynote on the history of recommender systems, their evolution with AI, and future trends in the age of generative AI.
A curated list of books exploring the themes of Abundance, Anxiety, AI, and Algorithms to understand the modern technological landscape.
A month-by-month recap of 2025's AI landscape, focusing on reasoning models, agents, efficiency breakthroughs, and industry shifts.
Explores the shift from RLHF to RLVR for training LLMs, focusing on using objective, verifiable rewards to improve reasoning and accuracy.
A developer shares an 18-month follow-up on using AI coding assistants like Cursor, Gemini, and Claude for a complex project refactoring.
Explores the human role in the AI age, arguing we must value critical thinking, agency, and creativity over competing with AI on raw intelligence.
A Google researcher's curated review of key AI research papers from 2024, covering LLMs, new architectures, agents, and security.
Argues that the 'age of data' for AI is not ending but evolving into an era of 'superhuman data' with higher quality and knowledge density.
A technical paper exploring the causes, measurement, and mitigation strategies for hallucinations in Large Language Models (LLMs).
