All topics / predicates
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Predicates
Conditions or properties used to describe or classify data in machine learning.
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terms defined
The neighbourhood: predicates 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.
Vladimir Vapnik argues that understanding intelligence is a philosophical problem, distinct from engineering intelligence, which imitates human activity.
Vladimir Vapnik · Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
Vapnik suggests that using predicates can significantly reduce the amount of data needed for tasks like digit recognition, potentially needing 100 times fewer examples.
Vladimir Vapnik · Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
He emphasizes the importance of discovering good predicates in machine learning to improve performance and reduce the set of admissible functions.
Vladimir Vapnik · Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
Vapnik believes human-level intelligence may not have a closed-form solution, implying reliance on heuristics and philosophical understanding.
Vladimir Vapnik · Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
The conversation highlights the influence of Vladimir Propp's structural analysis of narratives on understanding human behavior and intelligence.
Vladimir Vapnik · Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
Voices on predicates
5 standout quotes from across the corpus.
Go read
2 books and papers cited across these episodes.
For the specialist
What experts find new
2 expert-level takeaways for a specialist reader.
At the frontier
Still unresolved
1 open questions flagged across these conversations.
The thinkers
Who takes this idea on, by how often they return to it.