Exploring Complexity Ep. 2
Why the world feels more complex—and why that feels hard. Why more problems are complex problems. Why organizations struggle with complexity.
We speculate on how the GPT store might act a market mechanism for discovering the most valuable use cases for AGI
Key points:
OpenAI's goal is to evolve GPTs to be more "agentic," the capability to perform sophisticated actions. The data and interactions within the GPT Store offers a market mechanism for discovering the most valuable use cases for AI by interpreting the proprietary, rare, dynamic, and contextual use by millions of users. This makes us wonder if the Store isn't just a random development or the pursuit of usage growth. Perhaps the true purpose of the GPT Store is to tap into the existing network characteristics of GPTs to develop their own kind of intelligence, perhaps even exhibit an emergent form of AGI, OpenAI’s most significant strategic goal.
While it's true that not all GPTs are created equal, it's even more crucial to understand that the connections between GPTs and users vary significantly. Data from conversation analysis reveals that only a few GPTs dominate in terms of usage.
This is a characteristic of complex networks known as power law distribution, where many nodes (in this case, most GPTs) have few links (conversations), while a few hubs have a multitude of links. Networks which show power law distributions are a signal that hubs have a significant influence on information flow and, consequently, the way the network behavior evolves over time.
The Artificiality Weekend Briefing: About AI, Not Written by AI