What Does This Mean?
A critical metaphor for large language models, describing them as systems that statistically remix and recombine patterns in training text without any genuine understanding, intent, or meaning behind the words they produce.
EXPLAINER

Moveworks · original source ↗
EXPLAINER

Elixir, Erlang, the BEAM (and Lean) · original source ↗
The preview image is loaded from YouTube when this page opens, so YouTube receives your IP address and browser details, as with any request to another site. The video itself loads only after you click play. Details in our Terms
REAL-WORLD EXAMPLE
"Every time the chatbot confidently makes something up, someone in the replies calls it a stochastic parrot."
LORE & ORIGIN
Coined in the paper 'On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜' by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell, presented at the ACM FAccT conference in March 2021; the term later spread from AI research circles into mainstream AI-culture debate.
MENTIONS OVER TIME
Radar observation data not yet available for this term.
RELATED SEARCHES
TOP PLATFORMS
Not enough Radar data yet to show a platform breakdown.
WHEN DID YOU FIRST HEAR THIS?
CLICK AN OPTION BELOW TO CAST YOUR VOTE.
[ VOTE TO REVEAL COMMUNITY RESULTS ]