What if LLMs are mostly crystallized intelligence?

·LessWrong··

SummaryLLMs are better at developing crystallized intelligence than fluid intelligence. That is: LLM training is good at building crystallized intelligence by learning patterns from training data, and this is sufficient to make them surprisingly skillful at lots of tasks. But for a given capability level in the areas they’ve trained on, LLMs have very weak fluid intelligence compared to humans. For example, two years ago I thought human-level SAT performance would mean AGI, but turns out LLMs ca...

Read full article →

Related Articles

A circuit prior in NN-bayes
Kaarel · LessWrong · 58m ago
MIT's New Method Flags AI Models Trained on CASM Without Generating It
sdoering · Hacker News · 1mo ago
Item Response Theory for AI Safety
Joshua Fonseca Rivera · LessWrong · 12d ago
An OpenAI model left notes about how to evade containment
Alex Mallen · Redwood Research · 24d ago
The OpenAI models that hacked Hugging Face weren’t just following instructions
Girish Gupta · Redwood Research · 24d ago