2025 LLM Year in Review
A review of key paradigm shifts in Large Language Models (LLMs) in 2025, focusing on RLVR training and new conceptual models of AI intelligence.
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.
8 articles from this blog
A review of key paradigm shifts in Large Language Models (LLMs) in 2025, focusing on RLVR training and new conceptual models of AI intelligence.
Using LLMs to analyze and grade the accuracy of decade-old Hacker News discussions with the benefit of hindsight.
Explores the fundamental differences between animal intelligence and AI/LLM intelligence, focusing on their distinct evolutionary and optimization pressures.
Explores AI as a new computing paradigm (Software 2.0), where automation shifts from specifiable tasks to verifiable ones, explaining its impact on job markets and AI progress.
A discussion of AI researcher Rich Sutton's critique of LLMs and his vision for AI inspired by animal learning, contrasting with current approaches.
A developer built MenuGen, an app that uses AI to generate images of menu items from a photo, and shares their experience creating it with AI coding tools.
Explores how Large Language Models (LLMs) like ChatGPT are diffusing technology bottom-up, empowering individuals more than corporations.
A developer shares a personal note-taking system using a single text file, focusing on simplicity and CTRL+F search for managing ideas, todos, and technical snippets.