Overtraining as the path to human-like AI

The blog post discusses Gwern's theory on training large language models (LLMs) to achieve human-like intelligence through a process called 'grokking'. It explores the potential of overtraining on a small dataset to deepen understanding, contrasting with current practices of training large models on massive datasets. While some believe this may not be achievable, the author argues that it presents an ambitious idea worth exploring for future AI advances.