I used to think paying for AI compute was the easy part.
A developer sends a request. A model runs. The app gets a response. The bill gets paid.
Simple.
But what happens when that AI output influences a user action?
Imagine a wallet app using AI for risk checks before a transaction. The model returns "low risk." The user approves. Later, the decision is questioned.
The bill proves the compute was paid for.
It does not necessarily prove what was executed, how it was executed, or whether the output being referenced is the same output that influenced the user's action.
That's the gap that interests me:
Paid doesn't always mean proven.
As AI becomes part of financial, security, and on-chain workflows, developers may need more than inference. They may need verifiable execution that survives audits, disputes, and real-world consequences.
How important do you think verifiable AI will become over the next few years?
#Aİ #Crypto #Web3 #OPG
A developer sends a request. A model runs. The app gets a response. The bill gets paid.
Simple.
But what happens when that AI output influences a user action?
Imagine a wallet app using AI for risk checks before a transaction. The model returns "low risk." The user approves. Later, the decision is questioned.
The bill proves the compute was paid for.
It does not necessarily prove what was executed, how it was executed, or whether the output being referenced is the same output that influenced the user's action.
That's the gap that interests me:
Paid doesn't always mean proven.
As AI becomes part of financial, security, and on-chain workflows, developers may need more than inference. They may need verifiable execution that survives audits, disputes, and real-world consequences.
How important do you think verifiable AI will become over the next few years?
#Aİ #Crypto #Web3 #OPG