hypothesis
active
hypothesis:capacity-hypothesis

Capacity Hypothesis

Bigger models are more likely to converge to a shared representation than smaller models because they can better approximate the global optimum

Source paper

extracted_from
The Platonic Representation Hypothesis
(2024) · Minyoung Huh · Brian Cheung · Tongzhou Wang · Phillip Isola

Neighborhood — ranked by edge-count

Findings (1)

finding

Concepts (1)

concept
  • The hypothesized converged representation that all sufficiently large AI models are approaching — a statistical model of underlying reality

Hypotheses (2)

hypothesis
  • Argues that there are fewer representations competent for N tasks than M<N tasks, so more general models have a smaller solution space
  • Deep networks are biased toward finding simple fits to data, and this bias increases with model size, driving convergence

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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