This is a guest post written by Inference Labs. You can see their version of the post here.
From Web3 and Web2 platforms to traditional brick-and-mortar businesses, every domain we navigate is shaped by rigorously engineered incentive systems that structure trust, value, and participation. Now player 2 has entered the chat — AI Agents. As they join, how do we ensure open and fair participation for all? From “Truth Terminal” to emerging AI Finance (AiFi) systems, the core solution lies in implementing robust verification primitives.
But what is meant by “integrity of the model, inputs and outputs”?
I guess I don’t understand the attack vector, what’s the threat here? Someone messes with the model file or refines a model towards a specific malicious bias like inserting scam links where legit links would go and passes it off as the real deal?
I’m more general cybersec than crypto so idk but isn’t that what hash sums are for?
Surely if someone messed with my .ckpt or .safetensors it won’t be the same file anymore?
And what does that have to do with validity of the inputs?
But what is meant by “integrity of the model, inputs and outputs”?
I guess I don’t understand the attack vector, what’s the threat here? Someone messes with the model file or refines a model towards a specific malicious bias like inserting scam links where legit links would go and passes it off as the real deal?
I’m more general cybersec than crypto so idk but isn’t that what hash sums are for?
Surely if someone messed with my .ckpt or .safetensors it won’t be the same file anymore?
And what does that have to do with validity of the inputs?