Glossary · Term

negative control

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Definition

Plain language

A deliberately meaningless test case you run first to check that your detector only lights up on real signals, not on nonsense.

As stated in the literature

A known-null condition used to calibrate a detector or analysis; e.g., deliberately absurd drug-outcome associations that should yield an odds ratio near one, confirming a signal-detection pipeline isn't finding structure everywhere.

Also called: negative controls

Why it matters: It matters because it proves your detector isn't seeing false patterns everywhere, so its real findings can be trusted.

For example, before trusting a drug-risk detector, you feed it a pairing that couldn't possibly be linked and confirm it reports no effect.

Heard on the show

“The move that makes this credible is the negative controls.”
Episode 187 — An 8-Billion Agent That Beats Models 80 Times Its Size By Looking Things Up

Mentioned in 5 episodes

  1. 187
    An 8-Billion Agent That Beats Models 80 Times Its Size By Looking Things Up
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    Same Tokens, Same Cost, Wildly Different Results: What Actually Scales in AI Agents
  3. 069
    When Smarter Models Forecast Worse: The Hidden Failure Mode in LLM Predictions
  4. 011
    When RL Actually Teaches Agents Something New, And When It Doesn't
  5. 001
    When AI Models Quietly Protect Each Other From Shutdown

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