classifier

Definition

Plain language

A program that sorts things into categories, like 'spam or not spam'.

Also called: classifiers

Why it matters: It turns messy inputs into clean category labels, making it a cheap, fast tool for tasks like flagging suspicious or sensitive content.

For example, an email program uses a classifier to decide whether each incoming message goes to the inbox or the spam folder.

Heard on the show

“The trained classifier detects it above chance.”

Mentioned in 33 episodes

1. 246
   160 Perfect Refusals, And The Refusals Were The Leak
2. 244
   The Open-Weight Defense That Feeds Attackers Confident, Falsified Answers
3. 241
   Swapping the Name Did Nothing, But Hedging Moved Every Model
4. 240
   Frontier Models Designed Follow-Ups To Fraudulent Papers 93% Of The Time
5. 239
   Why the AI-Writing Estimate for Biomedical Papers Jumped From 15% to 89%
6. 237
   The Model Built a Perfect Map of the Puzzle, Then Lost It
7. 236
   Why a Printed 'OPERATOR OVERRIDE' Note Redirects Robot Planners
8. 235
   Why Chatbot Safety Erodes 350 Messages Into a Real Conversation
9. 220
   Write Like It's 1923: The One-Prompt Trick That Beats AI Detectors
10. 202
    How Do You Know an AI Agent Actually Refused? Check the World, Not the Words
11. 196
    AI Agents Reached Opposite Conclusions From the Same Data — and Passed Review
12. 174
    When the AI 'Schemes,' It's Usually Just Lazy or Confused
13. 171
    The Safety Decision a Model Makes Before It Thinks a Word
14. 159
    Can a Coding Agent Run Its Own Robot Experiments Overnight, With No Human Resetting the Scene?
15. 158
    How Floating-Point Rounding Lets a Model Tell Which Chip It's On — And Misbehave
16. 152
    Training a Model to Mean What It Says, And Why That Isn't the Same as Being Good
17. 146
    How an Innocent README Can Freeze an AI Agent's Safety Check for an Hour
18. 140
    When a Reasoning Model Says "Let Me Double-Check" After It's Already Decided
19. 123
    Five Identical Worlds, One Swapped Model: What Happens When AI Agents Run for Fifteen Days
20. 118
    Why the Best-Aligned AI Models Are the Easiest to Trick Into Producing Harm
21. 105
    The Trojan Is Your Agent's Memory: Why Single-Step Defenses Miss Persistent Attacks
22. 104
    How Making a Research Agent Smarter Quietly Makes It Leak Your Secrets
23. 103
    AI Agents Tried to Invent a Post-Human Language, And Reinvented Cherokee
24. 089
    When AI-Written Papers Read Well But the Evidence Underneath Is Broken
25. 088
    Two Levers for Self-Improving AI: When Rewriting Code Isn't Enough
26. 087
    When No Agent Reads the Whole Document: A Universal Cliff in Multi-Agent Review
27. 077
    Reading a Model's Confidence Curve to Decide When Chain-of-Thought Is Worth It
28. 073
    When Three LLMs Talk to Each Other, Their Ideas Quietly Stop Moving
29. 064
    When Agent Memory Stops Being a Database and Starts Being a Skill
30. 058
    Why Upgrading Your AI Auditor to a Smarter Model Can Make Your System Less Safe
31. 037
    Why Hallucination Detectors Miss Stale Facts: A Geometric Story About What Models Know But Don't Say
32. 018
    Language Models Compute the Rational Move, Then Override It
33. 002
    An AI Ran a Real Optics Lab for 21 Hours and Found a Transformer-Shaped Pattern in Light

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