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Current AI technology is developing rapidly, but focusing solely on its capabilities is not enough. Especially when AI begins to involve critical scenarios such as finance, governance, and automation, the question arises—how can we trust its decision-making process?
This is why the concept of verifiable reasoning becomes crucial. Instead of blindly pursuing improvements in model capabilities, it’s better to make the AI’s reasoning process transparent and auditable. In other words, we need not only a smart AI but also an AI that can clearly explain why it does what it does.
In high-risk application scenarios, this verifiability shifts from a nice-to-have to a must-have. Trust is the true competitive advantage of AI in finance and automation fields.
Isn't this exactly what Web3 has been advocating—on-chain transparency? Just a different way of saying it.
Verifiable reasoning sounds advanced, but frankly, the black box still needs to be exposed; otherwise, who would trust it?
Anyway, I wouldn't entrust my money to a model that can't explain itself, no matter how smart it is.