Why LLMs are Less Intelligent than Crows

Hackaday's publication of an article titled "Why LLMs are Less Intelligent than Crows" highlights the limitations of Large Language Models (LLMs) in replicating human intelligence. The article emphasizes the importance of self-awareness and logical reasoning in human intelligence, suggesting that current LLMs fall short in these areas. This means that website owners relying on LLMs for content generation or automated tasks may need to reassess their expectations and adjust their strategies accordingly. As LLMs are less capable of complex reasoning and self-awareness, they may not be able to produce high-quality content or make informed decisions, potentially affecting website traffic and user engagement. To address these limitations, website owners can take the following actionable steps: monitor AI bot traffic to identify potential areas where LLMs are struggling to provide value, review and update their llms.txt files to ensure they are accurately reflecting the capabilities and limitations of the LLMs in use, and consider implementing additional checks and balances to ensure that LLM-generated content meets their quality standards.