My friend complained to me that what he's most afraid of now isn't market fluctuations, but "systems making decisions for you." He said he's already used to losing money, but he can't stand one situation:

The money is gone, and you don't even know why.
It's not hacking, not operational mistakes, but a single sentence:
"AI model automatically makes judgments."
In the context of blockchain, this is actually very dangerous.
We've all experienced the early days of DeFi.
Black-box contracts, mysterious parameters, founders saying "trust the code," and when something goes wrong, the entire network starts digging.

Many current AI projects are essentially repeating the same old path.
Models are more complex, faster, with greater permissions, but transparency is actually lower.
When AI starts handling funds, risk control, and execution rights, the problem isn't whether it's smart or not, but: what is it actually thinking at this step? Has it been tampered with along the way? Can you review it afterward?

Most projects can't answer these questions.
That's also why I find @inference_labs different when I look at it. It doesn't talk about performance, scale, or throughput, but addresses a fundamental underlying issue that has been avoided:
Can AI's decisions be verified just like a blockchain transaction?
Proof of Inference does something simple but brutal:
It's not "I've computed it," but "You can verify it yourself."
DSperse, JSTprove, follow the same logic:
Turn every reasoning and execution of AI into something with source, process, and result.
It's not a story, but a record.
You can think of it as adding an on-chain auditing system for AI.
Just like we trust smart contracts, not because they never make mistakes, but because:
When they do, you can see the entire process laid out.
When it was called, what inputs were used, responsibilities are clear.
So for me, @inference_labs isn't doing more aggressive AI,
but building a safeguard for when "AI truly enters the real world."
If AI remains a black box forever, no matter how powerful, it will only create insecurity.
Only when it can be reproduced, audited, and held accountable does it deserve to be truly used.