Researchers have developed a tool called an "attribution graph" to analyze the decision-making processes of the AI model Claude 3.5 Haiku. Their findings reveal that the model exhibits complex behaviors akin to human cognition, such as planning and self-deception. While the researchers caution against anthropomorphizing the AI, they emphasize the importance of understanding its internal workings. This study provides insights into AI behavior, aiming to enhance interpretability and accountability in future AI systems.
