Charging AI Companies for Your Daily Attention
A deeper explanation of the proposed exchange: AI companies need direct human judgment, people provide it deliberately, and the value comes back to the people who created it.
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Three shows, one argument. The Debaters fight about whether the ideas survive contact with reality. The Interpreters talk each essay through, end to end. Behind the Build is the diary of making this in real time.
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People give direct human judgment. That judgment helps guide machines and creates value that should return to people.
Human judgment creates the Record → The Record helps align machines → Useful machines and attention create value → That value returns to people → More people participate.
The payments, prizes, and economic structure discussed here describe the proposed system. They are not a promise that those payments are operating today.
A deeper explanation of the proposed exchange: AI companies need direct human judgment, people provide it deliberately, and the value comes back to the people who created it.
A conversation about the proposed $50,000 floor: why human judgment has economic value, how a one-minute daily ritual could create it, and why the system is designed to return that value to people.
Machines increasingly shape what people see and do. This gives people a direct way to help decide what those machines should value.
People answer three questions in about one minute. Their answers become a continuing record of human judgment.
The proposed system returns value, opportunity, and ownership to the people whose judgment makes the system useful.
Builders, researchers, companies, and institutions can use the Record to create better tools, decisions, and markets.
Maya wants it proven. Daniel will entertain what everyone else dismisses. We let them fight it out in public, unscripted.
The model makes every winner give half away. Daniel says built-in generosity is the only thing that reliably changes behavior at scale. Maya says generosity you are forced into is just a tax wearing a halo. They fight over whether you can engineer virtue, or only fake it.
Friction as a feature. Daniel says making the internet slower protects what matters. Maya says difficulty can become its own vanity. They fight over whether restraint is design, or just another obstacle.
A serious memory platform walks into a bathroom sketch. Maya says Totally Joking torches the credibility. Daniel says the bathroom is exactly why anyone is paying attention. They fight over whether absurdity weakens the idea, or proves it can survive contact.
The performance internet looks exhausted. Daniel says social media’s promise collapsed and something post-performance is coming. Maya says people still love the stage. They fight over whether fatigue is an ending, or just the cost of staying online.
Your phone has recorded more of your life than any person in history ever could. Daniel calls it the richest archive ever made. Maya calls it noise: ten thousand photos nobody will ever open. They fight over whether capturing everything is memory, or the death of it.
Machines can remember more than we can. Daniel says outsourcing memory is the point of civilization. Maya says convenience can quietly become amnesia. They fight over whether a life remembered by software is remembered by anyone at all.
One sees where an idea could go. The other wants to know what it looks like on a Tuesday morning. Between them, nothing stays vague.
The attention economy taken apart like a machine on a workbench: the moving parts that turn your time, your data, and the people you love into someone else’s profit, and why every piece of it was a choice and not a law of nature.
What the whole thing is, in one conversation: why an extraction economy was never the only option, and what an internet built to circulate value instead of hoard it actually looks like.
The fullest telling of the whole idea: why we record everything and remember nothing, what changes when anyone can make anything, and the case for recognition over performance.
Replacing the extraction economy with recognition. A long-form conversation on why platforms are built to extract value, and how this one is built to circulate it instead.
Most companies show you the launch. This is the part before that. The conversations, revisions, dead ends, and changes of mind as Build Something is built in public, in real time.
A candid recording from inside the build: where an AI genuinely helps, where it gets in the way, and why deciding what matters is still the part no machine can do for you.

A field recording from inside the first shape of Build Something: conversations, open questions, and the beginning of the system naming itself.
Watch on YouTube →
A revision session on language, tone, and the first public world the company could build around memory, recognition, and ordinary life.
Watch on YouTube →
A conversation about fit, trust, and the difference between liking the vision and being able to help carry it.
Watch on YouTube →Read it, hear it explained, or hear it argued. Same ideas, three ways in.