Evolving Recommendation Systems
Explore the evolution and public scrutiny of recommendation systems, as well as the potential for optimization and offering more diverse content. Daniel and Ken discuss the limitations and possibilities of these systems, highlighting the need for improvement and considering the trade-offs involved.In this clip
From this podcast
The Gradient
Ken Liu: What Science Fiction Can Teach Us
Related Questions
What are the secrets behind the engaging algorithms of platforms like TikTok and Netflix as discussed in the episode The Person in Personalisation with David Mannheim and the clip Trust in Recommendations?
Why would Jordan Harbinger publish an episode of his podcast on the topic of data collection that discusses the negative practices of social media platforms, but then explain that his AI bot literally collects data and provides him analytics and summaries of what people ask it in the episode 1135: Sandra Matz | How Algorithms Read and Reveal the Real You and this clip AI and Intimacy? Does this not strike Jordan as contradictory?
Why would Jordan Harbinger publish an episode of his podcast on the topic of data collection that discusses the negative practices of social media platforms, but then explain that his AI bot literally collects data and provides him analytics and summaries of what people ask it in the episode 1135: Sandra Matz | How Algorithms Read and Reveal the Real You and this clip Discrimination in Algorithms? Does this not strike Jordan as contradictory?