Chapter

The Limitations of Training Machine Learning Models
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13:42 - 20:27 (06:44)

The processing power of machine learning models is being used more as a database than a reasoning engine. As we discover new things that don't fit the data, we have to come up with better explanations as understanding for a particular set of inputs improves.

Clips
The process of artificial intelligence involves creating a law or framework that can predict outputs based on inputs.
13:42 - 16:52 (03:09)
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Artificial Intelligence
Summary

The process of artificial intelligence involves creating a law or framework that can predict outputs based on inputs. OpenAI is constantly discovering new information that will help improve this technology.

Chapter
The Limitations of Training Machine Learning Models
Episode
#367 – Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AI
Podcast
Lex Fridman Podcast
The speaker discusses how we are training AI models and the potential for AI to become a reasoning engine instead of just a database of information.
16:53 - 20:27 (03:33)
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AI
Summary

The speaker discusses how we are training AI models and the potential for AI to become a reasoning engine instead of just a database of information.

Chapter
The Limitations of Training Machine Learning Models
Episode
#367 – Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AI
Podcast
Lex Fridman Podcast