Look, OpenGradient says it's solving the trust problem in AI by making model inference verifiable and decentralized.
Sounds reasonable.
But I've seen this movie before.
The original problem is simple: users must trust a centralized AI provider.
The proposed solution? Add node operators, validators, token incentives, governance systems, proof layers, and a blockchain.
That's not removing complexity. That's multiplying it.
And here's the catch: AI still needs expensive GPUs. Somebody owns them. Somebody controls them. Somebody profits from them. So how decentralized does it really become?
Let's be honest. A verified AI output can still be wrong. A cryptographic proof doesn't magically make a model smarter.
The real question isn't whether OpenGradient can build the technology.
It's whether enough people care about verifiable AI to pay for it once the token hype fades.
