2025-08-30

Andrej Karpathy, a former Tesla and OpenAI researcher, is part of a growing movement in the AI community calling for a new approach to building large language models (LLMs) and AI systems.
The article AI researcher Andrej Karpathy says he's "bearish on reinforcement learning" for LLM training appeared first on THE DECODER.
[...]2025-11-26
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]
2025-10-21
DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]
2025-10-18
Andrej Karpathy, former AI researcher at OpenAI and Tesla, is skeptical of the current hype surrounding agent-based AI and large language models.<br /> The article AI researcher Andrej Karpathy [...]
2025-03-13
Former OpenAI researcher Andrej Karpathy envisions a future where large language models (LLMs) become the primary interface for content.<br /> The article AI expert Andrej Karpathy envisions a w [...]
2025-11-26
Former OpenAI researcher and Tesla executive Andrej Karpathy argues that schools should stop trying to police AI-generated homework.<br /> The article Andrej Karpathy declares the war on AI home [...]
2025-11-10
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
2025-10-01
Thinking Machines, the AI startup founded earlier this year by former OpenAI CTO Mira Murati, has launched its first product: Tinker, a Python-based API designed to make large language model (LLM) fin [...]
2025-10-16
Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]
2025-11-19
Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using r [...]