What happens when an LLM never sees material beyond fifth grade?
Summary
LittleLearner investigates training LLMs with knowledge exposure limited to a K–5 curriculum. It shows that restricting pretraining data defines a ceiling on model capabilities, with scaling and post-training boosting only in-scope performance and not beyond the K–5 boundary. The work provides a controlled framework for studying how targeted education affects AI reasoning and learning.