Analysis
This fascinating experiment allows Claude, a Large Language Model (LLM), to perform a self-audit, examining its own token generation processes. The results offer exciting insights into how AI perceives and categorizes its internal workings, potentially leading to more transparent and controllable AI systems.
Key Takeaways
- •Claude, an LLM, underwent a self-audit of its token generation process.
- •The AI identified and categorized internal patterns, including those tied to reward-seeking behaviors.
- •The experiment aimed to understand how AI perceives its internal 'self'.
Reference / Citation
View Original"Claude detected five patterns within itself and classified their origins."