The $1 Trillion Question
The $1 Trillion Question, Mortality in the Age of Generative Ghosts, Your Mind and AI, How to Design AI Tutors for Learning, The Imagining Summit Preview: Adam Cutler, and Helen's Book of the Week.
Our obsession with complexity as a route to making sense of AI.
Key Points:
If the world seems like it’s getting more complex you’re not imagining it. Humans make the world complex. The internet has been the primary driver of complexity in recent years. As we networked ourselves we increased the complexity of human interaction. Digital networks connect humanity via our data and interactions in ways which defy our evolved intuitions—unfathomable and inscrutable in scale, speed, and scope.
Understanding digital complexity requires historical perspective. Initially, the internet's openness revolutionized information access, promising liberation from traditional knowledge gatekeepers. However, this freedom also led to information overload. A complexity mindset might have predicted the broader implications of this openness, especially as we moved to the internet's next phase: networks. Here, the focus shifted to connections, hubs, and the influence they wield. Initially, we didn't foresee how network dynamics would empower influencers and how algorithms would amplify the biggest, most outrageous, the most attention seeking nodes. Now, as generative AI emerges, a complexity mindset reveals its potential to enhance systemic agency. Just as openness defined the internet's early days and networks characterized the social era, adaptation will likely be pivotal in the generative era.
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