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We're witnessing one of the most profound shifts in the history of software—a rapid evolution from traditional coding (Software 1.0) to neural networks (Software 2.0) and now, the dawn of Software 3.0: large language models (LLMs) programmable with simple English. Inspired by insights from Andrej Karpathy, former AI Director at Tesla, we explore how this paradigm shift reshapes the very concept of programming and its profound implications for everyone engaging with technology.
From the "Iron Man" analogy, where AI augments human capabilities rather than replacing them, to the fascinating vision of LLMs as new operating systems, this episode dives deep into the practical challenges and enormous opportunities ahead. We discuss Karpathy’s real-world perspective versus the consultant-driven hype, emphasizing that the path forward lies in human-AI collaboration rather than immediate full automation.
Generated using Google's NotebookLM.
Inspired by Andrej Karpathy’s insights: https://youtu.be/LCEmiRjPEtQ?si=NulC7m-qN8FVvBhQ
 By Anlie Arnaudy, Daniel Herbera and Guillaume Fournier
By Anlie Arnaudy, Daniel Herbera and Guillaume FournierWe're witnessing one of the most profound shifts in the history of software—a rapid evolution from traditional coding (Software 1.0) to neural networks (Software 2.0) and now, the dawn of Software 3.0: large language models (LLMs) programmable with simple English. Inspired by insights from Andrej Karpathy, former AI Director at Tesla, we explore how this paradigm shift reshapes the very concept of programming and its profound implications for everyone engaging with technology.
From the "Iron Man" analogy, where AI augments human capabilities rather than replacing them, to the fascinating vision of LLMs as new operating systems, this episode dives deep into the practical challenges and enormous opportunities ahead. We discuss Karpathy’s real-world perspective versus the consultant-driven hype, emphasizing that the path forward lies in human-AI collaboration rather than immediate full automation.
Generated using Google's NotebookLM.
Inspired by Andrej Karpathy’s insights: https://youtu.be/LCEmiRjPEtQ?si=NulC7m-qN8FVvBhQ