Chapter
Elon Musk's Dojo - A Supercomputer for Machine Learning
Dojo is a machine learning focused supercomputer that aims to be modular and scalable for various applications, with its first test being for self-driving technology. Elon Musk's team uses a process of deploying a very basic system, identifying its weaknesses, and then improving iteratively until it becomes more intelligent.
Clips
Tesla is working to build a large-scale, modular machine learning hardware that's optimized for training neural networks.
2:09:11 - 2:10:43 (01:32)
Summary
Tesla is working to build a large-scale, modular machine learning hardware that's optimized for training neural networks. The interesting aspect of this project is that Tesla is singularly focused on solving a particular machine learning problem involved with autonomous driving.
ChapterElon Musk's Dojo - A Supercomputer for Machine Learning
Episode#225 – Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence
PodcastLex Fridman Podcast
This podcast episode explores the intersection of artificial intelligence and self-driving cars, discussing their benefits and challenges from financial and societal perspectives.
2:10:43 - 2:11:23 (00:40)
Summary
This podcast episode explores the intersection of artificial intelligence and self-driving cars, discussing their benefits and challenges from financial and societal perspectives.
ChapterElon Musk's Dojo - A Supercomputer for Machine Learning
Episode#225 – Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence
PodcastLex Fridman Podcast
The Dojo system involves retraining a large neural network for every new project, but the advantage is that it only needs to happen once and it can be done more quickly than other forms of machine learning training.
2:11:24 - 2:12:11 (00:47)
Summary
The Dojo system involves retraining a large neural network for every new project, but the advantage is that it only needs to happen once and it can be done more quickly than other forms of machine learning training.
ChapterElon Musk's Dojo - A Supercomputer for Machine Learning
Episode#225 – Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence
PodcastLex Fridman Podcast
The iterative process of deploying a dumb system, catching the edge cases where it fails, and making it smarter is how machine learning achieves something intelligent.
2:12:13 - 2:14:43 (02:30)
Summary
The iterative process of deploying a dumb system, catching the edge cases where it fails, and making it smarter is how machine learning achieves something intelligent. Tesla's Dojo project aims to create a modular, driving-focused supercomputer that will enable this iterative process for large-scale machine learning applications.