Chapter

The Tension Between Inscrutable and Engineerable Technology in Machine Learning and Public Health
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2:24:02 - 2:36:11 (12:08)

The tension between inscrutable and engineerable technology exists in both machine learning and public health, particularly in the age of Twitter. This poses a challenge for public health officials to balance caution with effective messaging, while machine learning is still resistant to application papers despite its impact in the real world.

Clips
The discussion revolves around the challenges in the application of theoretical concepts in computer science like the resistance of machine learning conferences to application papers despite the power of machine learning and deep learning.
2:24:02 - 2:28:05 (04:02)
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Computer Science
Summary

The discussion revolves around the challenges in the application of theoretical concepts in computer science like the resistance of machine learning conferences to application papers despite the power of machine learning and deep learning. They also touched on how the introduction of a slight disturbance in a system can fundamentally change the problems in that system.

Chapter
The Tension Between Inscrutable and Engineerable Technology in Machine Learning and Public Health
Episode
#166 – Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media
Podcast
Lex Fridman Podcast
The development of AI is making progress from inscrutable to engineerable by piecing together different classification black boxes, eventually ending up with mathematical equations that work well.
2:28:05 - 2:33:48 (05:43)
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AI
Summary

The development of AI is making progress from inscrutable to engineerable by piecing together different classification black boxes, eventually ending up with mathematical equations that work well.

Chapter
The Tension Between Inscrutable and Engineerable Technology in Machine Learning and Public Health
Episode
#166 – Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media
Podcast
Lex Fridman Podcast
The don't-give-an-inch mindset of Twitter has affected decades of public health knowledge, leading to a dunk culture which discourages dissenting opinions, instead only validating what is completely right and wrong, in turn, affecting the way we think about discourse.
2:33:48 - 2:36:11 (02:22)
listen on SpotifyListen on Youtube
Twitter
Summary

The don't-give-an-inch mindset of Twitter has affected decades of public health knowledge, leading to a dunk culture which discourages dissenting opinions, instead only validating what is completely right and wrong, in turn, affecting the way we think about discourse.

Chapter
The Tension Between Inscrutable and Engineerable Technology in Machine Learning and Public Health
Episode
#166 – Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media
Podcast
Lex Fridman Podcast