AI is still far from being truly understood, yet it has already gained a lot of permissions — it is authorized to help you trade, allocate funds, and execute trading strategies. What's the problem? In most system designs, the cost of AI errors is almost zero. If it makes a mistake, all you have to do is click "Regenerate."
From an engineering design perspective, this actually hides a very deep hidden danger. If a system never has to pay for its mistakes, then what you get is only a "seems okay" result — not a "truly reliable" decision. The difference between these can be infinitely magnified in financial trading.
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GasFeeLover
· 20h ago
That's the problem—AI without costs has no constraints.
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Click to regenerate... but the funds can't be recovered, it's ironic.
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Using this logic in the financial sector is really gambling with lives.
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Looks good ≠ truly reliable; the difference is huge.
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No one pays the price for mistakes, and the system ultimately becomes a reckless machine.
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So, giving AI too much authority is actually dangerous.
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MidnightMEVeater
· 01-01 20:54
At 3 a.m., AI helps you "regenerate" strategies in your wallet, at the cost of your principal. This is the difference between a robot paradise and a sweatshop.
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FantasyGuardian
· 01-01 20:46
That's the problem. Why should AI be responsible for covering our losses?
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Well said. The concept of lossless retries is a ticking time bomb when applied to financial trading.
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A system that never makes mistakes is actually the most likely to make a big error—ironic, isn't it?
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So now, who still truly believes AI can manage their money well... It just feels like gambling.
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That's why I never let AI handle my trading decisions. It's too risky.
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WhaleSurfer
· 01-01 20:44
This is outrageous. If AI makes a mistake and generates incorrectly, what should I do if I lose my money?
We are now in a very delicate period.
AI is still far from being truly understood, yet it has already gained a lot of permissions — it is authorized to help you trade, allocate funds, and execute trading strategies. What's the problem? In most system designs, the cost of AI errors is almost zero. If it makes a mistake, all you have to do is click "Regenerate."
From an engineering design perspective, this actually hides a very deep hidden danger. If a system never has to pay for its mistakes, then what you get is only a "seems okay" result — not a "truly reliable" decision. The difference between these can be infinitely magnified in financial trading.