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Recommendation systems
2
episodes
3
thinkers
3h
of conversation
2
books & papers
5
terms defined
The neighbourhood: recommendation systems and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.
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The lexicon
Every term the guests lean on, in plain language. Read one in full, or filter to find it.
What the corpus says
The throughline across every conversation that touches this idea.
Michael I. Jordan argues AI is still a proto-field, akin to early chemical engineering, not yet achieving true intelligence.
Michael I. Jordan · Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
Jordan critiques the term 'AI' as misleading, advocating for 'machine learning' to better reflect the field's current capabilities.
Michael I. Jordan · Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
Recommender systems, though not magical, have become a billion-dollar industry crucial for consumer markets.
Michael I. Jordan · Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
Jordan emphasizes decision-making over prediction in AI, challenging the notion that AI's primary value lies in predictive accuracy.
Michael I. Jordan · Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
Jordan highlights the intelligence of markets as a distinct form of intelligence, separate from human cognition.
Michael I. Jordan · Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
YouTube's recommendation system processes over 500,000 hours of new video daily, more than a human could watch in a lifetime.
Christos Goudreau · Cristos Goodrow: YouTube Algorithm
YouTube uses collaborative filtering and clustering to offer diverse content recommendations, such as suggesting jazz to science viewers.
Christos Goudreau · Cristos Goodrow: YouTube Algorithm
User interactions like likes, dislikes, and comments are key signals in YouTube's algorithm to gauge satisfaction and improve recommendations.
Christos Goudreau · Cristos Goodrow: YouTube Algorithm
A-B testing on YouTube involves hundreds of variables to refine viewer experience and optimize algorithm changes.
Christos Goudreau · Cristos Goodrow: YouTube Algorithm
Self-supervised learning is seen as a future pathway for video intelligence, but summarizing video content remains largely unsolved.
Christos Goudreau · Cristos Goodrow: YouTube Algorithm
Go read
2 books and papers cited across these episodes.
For the specialist
What experts find new
6 expert-level takeaways for a specialist reader.
At the frontier
Still unresolved
3 open questions flagged across these conversations.
The thinkers
Who takes this idea on, by how often they return to it.