Research-backed thinking on AI, audiences, and decision-making

Essays and explainers on synthetic audiences, cognition modeling, AI reliability, and how to know when AI output is actually defensible.

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Inference vs. Evidence: How to Know If Your AI Output Is Defensible

10 min read

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Why AI Gets Your Audience Wrong: Language Mimicry vs. Cognition Modeling

11 min read

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Green Fern

Inference vs. Evidence: How to Know If Your AI Output Is Defensible

10 min read

Read article

Green Fern

What's the difference between language mimicry and cognition modeling?

9 min read

Read article

Two people working with a laptop outside greenhouse

Inference vs. Evidence: How to Know If Your AI Output Is Defensible

10 min read

Read article

Green Fern

Inference vs. Evidence: How to Know If Your AI Output Is Defensible

10 min read

Read article

Green Fern

What's the difference between language mimicry and cognition modeling?

9 min read

Read article

Person using laptop with external hard drive and mug.

Why AI Gets Your Audience Wrong: Language Mimicry vs. Cognition Modeling

11 min read

Read article

Two people working with a laptop outside greenhouse

Inference vs. Evidence: How to Know If Your AI Output Is Defensible

10 min read

Read article

Green Fern

What's the difference between language mimicry and cognition modeling?

9 min read

Read article

Green Fern

Inference vs. Evidence: How to Know If Your AI Output Is Defensible

10 min read

Read article

Person using laptop with external hard drive and mug.

Why AI Gets Your Audience Wrong: Language Mimicry vs. Cognition Modeling

11 min read

Read article

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