Goodhart's Law

Concept

adage that when a measure becomes a target, it ceases to be a good measure

Mentioned in 6 videos

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Videos Mentioning Goodhart's Law

Making Transformers Sing - with Mikey Shulman of Suno

Making Transformers Sing - with Mikey Shulman of Suno

Latent Space

A principle discussed by Mikey Shulman, stating that when a measure becomes a target, it ceases to be a good measure. Applied to LLM benchmarking and the importance of aesthetics over purely quantitative metrics.

Anca Dragan: Human-Robot Interaction and Reward Engineering | Lex Fridman Podcast #81

Anca Dragan: Human-Robot Interaction and Reward Engineering | Lex Fridman Podcast #81

Lex Fridman

An observation that when a measure becomes a target, it ceases to be a good measure, applicable to reward function design in AI.

Alison Gopnik on Childhood Learning, AI as a Cultural Technology, and Rethinking Nature vs. Nurture

Alison Gopnik on Childhood Learning, AI as a Cultural Technology, and Rethinking Nature vs. Nurture

Conversations with Tyler

An observation stating that when a measure becomes a target, it ceases to be a good measure. Applied to education, where teaching to the test can undermine actual learning.

Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab

Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab

Latent Space

An economic principle stating that when a measure becomes a target, it ceases to be a good measure, relevant to AI optimization.

Tobi Lütke: The Future of Work, AI Agents, and Human Judgment

Tobi Lütke: The Future of Work, AI Agents, and Human Judgment

The Knowledge Project Podcast

Discussed as a principle where a metric, when it becomes the objective, is no longer a good proxy and leads to overfitting, similar to how companies might overfit to stock prices or other single metrics.

🔬 Google's AI Scientist Started as an Attempt to Automate Kaggle — John Platt, Google Fellow

🔬 Google's AI Scientist Started as an Attempt to Automate Kaggle — John Platt, Google Fellow

Latent Space

The principle that any metric that becomes a target is no longer a good metric, applied to the challenges of overfitting and reward hacking in AI and leaderboards.