Chapter
Can Trans Women with Biological Advantage Compete in Sports against Cis Women?
37:49 - 46:43 (08:54)
This podcast discusses the debate over whether trans women who have undergone hormone replacement therapy should be allowed to compete in sports against cis women, given that they may still have a biological advantage from male puberty. The host argues that there are other biological outliers, such as Michael Phelps, who are allowed to compete, so it may not be fair to exclude trans women.
Clips
This podcast explores the fairness of allowing transgender athletes to participate in women's sports, regardless of hormone replacement therapy, due to the biological advantages they may have from male puberty.
37:49 - 40:42 (02:52)
Summary
This podcast explores the fairness of allowing transgender athletes to participate in women's sports, regardless of hormone replacement therapy, due to the biological advantages they may have from male puberty.
ChapterCan Trans Women with Biological Advantage Compete in Sports against Cis Women?
Episode#337 – Destiny: Politics, Free Speech, Controversy, Sex, War, and Relationships
PodcastLex Fridman Podcast
The use of AI in various fields has raised concerns about its impact on human creativity and the uniqueness of art as a human creation.
40:42 - 43:25 (02:43)
Summary
The use of AI in various fields has raised concerns about its impact on human creativity and the uniqueness of art as a human creation. However, the normative view of technology being equated with progress has overlooked the potential consequences of automating creative pursuits, leaving us to wonder where we will derive meaning from.
ChapterCan Trans Women with Biological Advantage Compete in Sports against Cis Women?
Episode#337 – Destiny: Politics, Free Speech, Controversy, Sex, War, and Relationships
PodcastLex Fridman Podcast
The deep learning revolution has shown that large neural networks can generate impressive and creative manifestations of representations of forms, in addition to being able to estimate functions that do a good job of understanding deep representations of things that humans perceive as trivial.
43:25 - 46:43 (03:18)
Summary
The deep learning revolution has shown that large neural networks can generate impressive and creative manifestations of representations of forms, in addition to being able to estimate functions that do a good job of understanding deep representations of things that humans perceive as trivial.