The Transformer architecture (released by Google in 2017) was designed for token prediction—given a prompt, predict the next word—and represents a paradigm shift from rule-based to data-driven AI, from exact/optimal algorithms to statistical pattern matching on massive datasets.
factualpending
Speaker
Michael WaldridgeEvidence Quote
“Transformer architecture...were developed in order to enable large language models so that you could give a prompt and they could predict essentially what should what should come next”
Source
Don’t Believe AI Hype, This is Where it’s Actually Headed | Oxford’s Michael Wooldridge | AI History— Johnathan BiCreated: 7/7/2026, 3:38:35 AM
My Notes
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