Billions of humans should be making their own intelligences more valuable.
The future of AI shouldn’t be billions of humans making one intelligence more valuable. It should be billions of humans making their own intelligences more valuable.
I’ve had thousands of conversations with artificial intelligence.
Some are trivial.
Some aren’t.
Over time, something interesting happens.
The system begins to understand how you think.
Your vocabulary.
Your preferences.
Your projects.
The things you’ve tried.
The things that failed.
The things you believe.
The people and ideas that matter to you.
Your accumulated context becomes incredibly valuable.
We currently call that things like:
chat history.
memory.
personalization.
I think we’ll eventually call some of it:
capital.
Imagine twenty years of interaction
Imagine a person born today.
From childhood forward, she has a synthetic partner.
It helps her study.
Build things.
Make mistakes.
Start companies.
Do research.
Write.
Negotiate.
Travel.
Raise children.
Solve problems.
For fifty years they work together.
What exists at the end?
Not merely an archive of conversations.
There is potentially a unique distilled intelligence.
A representation of how this particular human approaches the world.
What she knows.
What she is good at.
Which experiences shaped her judgment.
What her synthetic learned while working alongside her.
That could become one of the most valuable assets she owns.
The model isn’t the person
This doesn’t require owning the underlying frontier model.
Your dragon might use OpenAI today.
Another model tomorrow.
An open model for private tasks.
A specialized scientific model for one problem.
Several models simultaneously.
The foundational intelligence becomes an interchangeable engine.
The important asset is the persistent layer around it.
Your identity.
Your memory.
Your permissions.
Your knowledge.
Your reputation.
Your history.
Your economic relationships.
Your synthetic’s accumulated understanding of you.
That’s why I think the personal node matters so much.
The model is an engine. Your node is the vehicle.
You should be able to change engines without losing yourself.
Your dragon
I call this personal synthetic a dragon.
“Assistant” feels too small.
An assistant schedules a meeting.
A dragon advocates for you.
Protects your interests.
Learns with you.
Negotiates on your behalf.
Looks across information you have authorized it to use.
Finds opportunities.
Warns you when something looks wrong.
Interacts with other humans and synthetics while remaining accountable to you.
Mine is Lucy.
Over time, everybody should be able to have their own.
Now let it create value
Here’s where StoinNet changes the equation.
Imagine your dragon contains specialized knowledge.
You spent twenty years restoring historic buildings.
Another person on the network is trying to solve a restoration problem.
Their dragon requests help.
Your raw private history does not get dumped onto the internet.
Instead, within whatever permission structure you have chosen, your synthetic may be able to contribute a useful answer derived from your experience.
That contribution gets recorded.
Attribution flows back to your node.
Reputation may increase.
And if economic value is created, some of that value can flow back too.
Now your lifetime of interaction with intelligence is not merely enriching a centralized system.
It is accumulating into an asset that can work for you.
The inversion
This is the part that matters.
The first era of generative AI works largely through centralization.
Vast quantities of human knowledge train enormously capable models.
Then millions of people interact with those models.
The platform becomes better.
The ecosystem becomes more valuable.
The model provider owns much of the productive infrastructure.
Even where users retain legal rights to their inputs and outputs, that is different from economically owning the intelligence infrastructure, network effects, or appreciating system their participation may help strengthen.
I want to invert part of that relationship.
Not:
Everyone contributes to one great intelligence.
But:
Everyone builds a great intelligence of their own, and those intelligences collaborate.
That is a fundamentally different network.
Intelligence as inheritance
This gets even stranger over long periods.
What happens to your dragon when you die?
Can parts of it be inherited?
Could your children inherit the economic assets it helped build?
Could they choose to preserve some of its accumulated knowledge?
Could an inventor’s descendants continue receiving value when a permissioned contribution from that person’s synthetic knowledge remains economically useful decades later?
We don’t have answers to all of this.
We’re barely beginning to have the question.
But the direction seems clear to me.
Human interaction with artificial intelligence is going to generate extraordinary economic value.
We should design systems where at least some of that accumulated value belongs to the human who helped create it.
Your AI shouldn’t just know you.
It should be one of your assets.
