Glossary · Term

closed loop

← all terms

Definition

Plain language

A system that only feeds on its own outputs, with no fresh input from outside.

As stated in the literature

A self-referential generative regime where each step's input is the previous step's output, with no exogenous data; subject to information-theoretic contraction by the data processing inequality.

Also called: closed-loop

Why it matters: Closed-loop generative training tends to drift and collapse, which is a growing concern as the web fills with AI-produced content.

For example, a language model is repeatedly trained only on text generated by previous versions of itself, with no fresh human-written data added.

Heard on the show

“A notebook full of wrong principles read by the same frozen brain that wrote them is a closed loop with no one to catch the error.”
Episode 186 — How a Frozen Model Went From 2% to 77% on Physics Puzzles — Without Retraining

Mentioned in 6 episodes

  1. 186
    How a Frozen Model Went From 2% to 77% on Physics Puzzles — Without Retraining
  2. 097
    Same Tokens, Same Cost, Wildly Different Results: What Actually Scales in AI Agents
  3. 073
    When Three LLMs Talk to Each Other, Their Ideas Quietly Stop Moving
  4. 072
    A Robot Made Graphene Without Help, And Caught Itself Hallucinating
  5. 025
    The Missing Gradient Term That Predicts Sycophancy in RLHF
  6. 008
    Why Long-Horizon AI Agents Get Stuck, and a Milestone-Based Fix That Helps

Related terms