Human-Like Neural Nets by Catapulting

Gwern's proposal to create artificial neural nets with human-like performance by high-learning-rate/regularization training of overparameterized NNs to trigger catapulting/grokking marks a significant shift in the pursuit of true generalization in AI models. This development has important implications for website owners, as the potential emergence of more human-like neural nets could lead to increased AI bot traffic on their sites. With more advanced AI models, bots may be able to navigate and interact with websites in a more sophisticated manner, potentially affecting metrics such as engagement, conversion rates, and overall user experience. To prepare for this potential shift, website owners can take several actionable steps: monitor their site's traffic patterns for unusual bot activity, review and update their llms.txt files to ensure they are properly configured to manage AI bot access, and consider implementing more advanced bot detection and management tools to stay ahead of the evolving AI landscape.