Stone to Silicon

Artificial intelligence · 1991

Mixture of experts

A gating network routes each input to specialist subnetworks.

Robert Jacobs, Michael Jordan, Steven Nowlan and Geoffrey Hinton proposed adaptive mixtures of local experts. The idea returned at scale in 2017 as sparse MoE layers, letting today's largest language models activate only a fraction of their parameters per token.

See it in the living treeWikipedia

Arcs above join it to what it stood on, arcs below to what it led to. The bar places this stretch on the tree's whole timeline.

What it built on 1

What it led to 6

Related measurements

The dashed line marks when it first worked.

Training compute of notable AI models Source: Epoch AI, Notable AI Models (CC BY 4.0)

Computation per constant dollar, 1850-2006 Latest: 7.3B million units of computer power per 2006 $ (2003) Source: Nordhaus 2007, Two Centuries of Productivity Growth in Computing, J. Econ. Hist. 67(1), Table 6