"Used to work for AI, now AI pays you"

AI is making the leap from "technology" to "profitable asset"

When you study @OpenGradient's working principle
You will understand how we make money with AI

That's why I am long-term optimistic about this project!

#OpenGradient is:
Breaking down AI that used to run only on big factory servers, and handing it over to a group of "computers on the chain" to do the work,
After completing the work, it can also verify authenticity on the chain and automatically settle payments.

How does it achieve this step by step?

① Training: Not a single server, but a group of people computing together

Traditional AI:

Training a model = rent AWS, one or a bunch of servers, expensive, black box

OpenGradient:

Break the model training task into many small parts
Who has idle GPU / computing power, come and take orders to compute a part

• Computing power comes from decentralized nodes
• Submit results after computation
• On-chain verification: Was the computation real? Was there any laziness?

👉 Computing power is like "miners," AI training is like "mining"

② Deployment: Model not on cloud, but on-chain

Traditional AI:

Model stored on company servers, only accessible via API

OpenGradient:

Models are "registered" on the chain like smart contracts

• Models have addresses
• Version records
• Who calls, who pays, who profits—all on the chain

👉 Model = a "public asset" on the chain

③ Invocation: Trust results, not the person

Traditional AI:

You ask the model a question
You can only "trust it didn't lie to you"

OpenGradient:

You invoke the model
Multiple nodes compute together
Automatically verify the consistency of results on-chain

• Inconsistent results → penalize malicious nodes
• Consistent results → automatically settle rewards

👉 Not "trust the model," but "the computation is done and you can't cheat"

④ How does the money flow? Fully automatic
• Use the model → pay
• Run computing power → earn money
• Provide good models → keep earning rent

No platform cuts, no manual settlements.

👉 AI pays itself a salary

A metaphor from daily life makes it instantly clear

What is traditional AI like?

A black box factory, you pay, it gives results, you don't know what happens inside

What is OpenGradient like?

A transparent marketplace
• Who farms (models)
• Who provides computing power
• Who pays (invokes)
All recorded on the ledger

Why is this important?

Because it solves a fundamental problem 👇

When AI becomes infrastructure, why should we trust it?

OpenGradient's answer is:
• Don't trust companies
• Don't trust authorities
• Use on-chain rules to force it to be honest

What OpenGradient does is simple:
Transform AI from a "proprietary tool of big companies"
Into a "public machine that everyone can use and verify"