Systems Thinking About Thinking Systems
A generative human is someone who uses AI to amplify their capacity to create original insights, novel solutions, and new value rather than just consuming AI’s outputs. Generative humans become more capable, more creative, and more valuable over time because each interaction with AI enhances their thinking abilities rather than replacing them.
Since OpenAI’s GPT-5 model started rolling out last week, people ask me the same thing: “How do I use AI better?” The answer is simpler than you think, but it requires a shift in how you approach the problem. Instead of focusing on techniques and prompts, you need to identify your use case first.
I usually write about big-picture paradigm shifts, but lately I’ve noticed something: while we’re all living through the AI revolution, many people are struggling with the basics—understanding what everyone is actually talking about.
Typically, when I write about American politics, I start from an economic vantage point—dissecting theory and describing mechanisms of how material interests, class dynamics, and resource distribution shape our political divides. Today, I want to do the opposite: instead of analyzing how economic systems drive political behavior, I’m examining how fundamental ideological beliefs about social membership shape our economic and political choices.
AI systems face a fundamental paradox. They depend entirely on quality information for training, yet they’re systematically destroying the economic infrastructure that creates that information.
The Opportunity Economy Toolkit gives you 10 concrete tools to decode economic propaganda, counter wealth extraction arguments, and build the political movement for an economy where genuine competition thrives and everyone has security to take risks.
For fifty years, oligarchs and concentrated wealth interests have systematically conditioned all Americans to accept artificial limits on our collective power. I reveal that we can organize together to build restoration.
Welcome to “COGSware”—software that looks like SaaS but behaves economically like manufacturing. AI has reintroduced the COGS reality that software escaped for twenty years. Every time your app calls an AI model, every automated task, every smart recommendation—it all costs money that scales with usage, just like manufacturing physical products.
This is a living document that will expand as new policy analyses are published
Economics claims to be a scientific discipline that discovers universal laws governing human behavior and market dynamics. This claim is demonstrably false.