Post by William Collins

I ran an experiment comparing two responses to the same question about Cisco ’s recent “Internet of Cognition” by Vijoy Pandey. The baseline response produced a detailed analysis and six separate recommendations. The ISL-conditioned response was significantly shorter (1596 vs 3695 characters) but focused on a single central theme: Human-AI interaction should evolve from simple message passing toward shared intent, shared context, and collaborative decision-making. What’s interesting isn’t that one response was longer or shorter. It’s that the shorter response appeared to converge on a more focused interpretation of the paper’s central argument. This raises a useful question: Should AI outputs be measured primarily by size, or by stability of understanding? If multiple readers arrive at roughly the same interpretation after reading a response, that may be a more meaningful signal than token count alone. The Internet of Cognition paper argues that future intelligence systems require shared intent, shared context, and collective innovation. Perhaps the same principle applies to conversations themselves. The goal may not be generating more language. The goal may be preserving meaning through interaction. #ArtificialIntelligence #MultiAgentSystems #AgenticAI #HumanAI #CollectiveIntelligence #DistributedAI #InternetOfCognition #FutureAism #InteractionStabilizationLayer #ISL