Chapter
The Future of Coding: Transitioning from Traditional Programming to Neural Networks
1:10:02 - 1:15:02 (04:59)
The podcast discusses the remarkable transition of traditional programming to neural net programming, with developer environments for software 1.0, IDEs, and GitHub, and the need to embrace the shift.
Clips
The speaker discusses how a lot of code is transitioning to be written in the weights of a neural net and how this means that at some point there will be a compilation process from data to binary.
1:10:02 - 1:13:54 (03:52)
Neural Networks.
Summary
The speaker discusses how a lot of code is transitioning to be written in the weights of a neural net and how this means that at some point there will be a compilation process from data to binary.
ChapterThe Future of Coding: Transitioning from Traditional Programming to Neural Networks
Episode#333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI
PodcastLex Fridman Podcast
The concept of Software 2.0, which refers to the new era of AI-powered software development, can be analogized to GitHub and IDEs.
1:13:54 - 1:15:02 (01:07)
Software 2.0
Summary
The concept of Software 2.0, which refers to the new era of AI-powered software development, can be analogized to GitHub and IDEs. Engineering teams' adoption of Software 2.0 requires implementing data collection and annotation as part of development practices.