My friend was venting to me, saying that what he fears most now isn’t market volatility, but 'the system making decisions for you.' He said he’s already used to losing money, but there’s one thing he can’t stand: The money’s gone, and you don’t even know why. It’s not a hack, not a user error, but just one sentence: 'The AI model made an automatic decision.' In the context of blockchain, this is actually super dangerous. We’ve all been through the early days of DeFi. Black-box contracts, mysterious parameters, and founders saying, 'Trust the code.' Then when something went wrong, the entire community started digging through the wreckage. Now, a lot of AI projects are essentially walking the same old path. The models are more complex, the actions faster, the permissions broader, but the transparency is even lower. When AI starts handling funds, risk control, and execution rights, the question isn’t whether it’s smart or not, but: What exactly was it thinking at that step? Was anything altered along the way? Can you review it afterward? Most projects can’t answer these questions. That’s why, when I look at @inference_labs, it feels a bit different. They’re not talking about performance, scale, or throughput. Instead, they’re addressing a fundamental issue that’s often avoided: Can AI’s decisions be verified, just like a transaction on the blockchain? Proof of Inference is doing something simple yet brutal: It’s not 'I’ve calculated it,' but 'You can verify it yourself.' DSperse and JSTprove follow the same logic: Turning every AI inference and execution into something with a source, a process, and a result. Not a story, but a record. You can think of it as adding an on-chain auditing system for AI. Just like how we trust smart contracts—not because they’ll never fail, but because: When they do fail, you can lay out the entire process for review. When was it called? What inputs were used? The responsibility is clear. So for me, @inference_labs isn’t about building more aggressive AI. It’s about putting up guardrails in advance for 'AI truly entering the real world.' If AI remains a black box forever, no matter how powerful it gets, it will only create insecurity. But when it can be reproduced, audited, and held accountable, that’s when it truly deserves to be used.