Chapter
The Evolution of AI and Machine Learning
1:21:42 - 1:27:17 (05:35)
The world of AI and machine learning is rapidly evolving, but there are concerns about whether the learning mechanisms may amplify past mistakes or reinforce and perpetuate biases in data.
Clips
In this episode, computer science professor Brian Kernighan reflects on his career and the evolution of programming languages, discussing the differences between theoretical computer science and programming, and his early interest in artificial intelligence.
1:21:42 - 1:22:55 (01:13)
Summary
In this episode, computer science professor Brian Kernighan reflects on his career and the evolution of programming languages, discussing the differences between theoretical computer science and programming, and his early interest in artificial intelligence.
ChapterThe Evolution of AI and Machine Learning
Episode#109 – Brian Kernighan: UNIX, C, AWK, AMPL, and Go Programming
PodcastLex Fridman Podcast
The progress of machine translation has been tremendous throughout the past 50-60 years due to advancements in hardware and access to larger amounts of data.
1:22:55 - 1:24:45 (01:49)
Summary
The progress of machine translation has been tremendous throughout the past 50-60 years due to advancements in hardware and access to larger amounts of data. Despite early optimism, development took longer than anticipated.
ChapterThe Evolution of AI and Machine Learning
Episode#109 – Brian Kernighan: UNIX, C, AWK, AMPL, and Go Programming
PodcastLex Fridman Podcast
This podcast discusses whether the AI mechanisms reinforce and amplify things that have been wrong in the past, with certain machine learning approaches potentially having serious problems due to the data that has been given.
1:24:45 - 1:27:17 (02:31)
Summary
This podcast discusses whether the AI mechanisms reinforce and amplify things that have been wrong in the past, with certain machine learning approaches potentially having serious problems due to the data that has been given.