The Counterfactual

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Orange peels, human tests, and LLMs
Why it's hard to measure an LLM's "capacities"—and whether we ought to use tests originally designed for humans to do so.
 • 
Sean Trott
3
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When Models Drive a Hard Bargain
Detecting Misaligned Intelligences Within Game Environments
 • 
Pamela Rivière Ruiz
3
Humans—and GPT-4—are predictably irrational
Judgment and decision-making research could provide a helpful lens for studying LLMs.
 • 
Sean Trott
GPT-4 (sometimes) captures the wisdom of the crowd
Many researchers rely on survey data. How could LLMs like GPT-4 change that?
 • 
Sean Trott
3
Do Large Language Models have a "theory of mind"?
LLMs "pass" multiple tests of mental state reasoning, but fail others—what does this mean?
 • 
Sean Trott
 and 
Cameron Jones
Using neuro-imaging and language models to decode thoughts
Advances, limitations, and implications.
 • 
Sean Trott
Large language models, explained with a minimum of math and jargon
Want to really understand how large language models work? Here’s a gentle primer.
 • 
Sean Trott
 and 
Timothy B Lee
3
How I've been using ChatGPT
Learning what a new technology can and can't do.
 • 
Sean Trott
The Counterfactual
Cognitive Science, statistics, AI.
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The Counterfactual

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