I've had a pretty bad experience with an AI Agent, so let me share my story.
I initially wanted to use a so-called "top-tier" AI Agent for automatic arbitrage, but I ended up going all-in and losing $3,000. I wasn't thinking much at the time; I just thought, AI should be more reliable than manual operations. But what happened? A painful lesson!
Later, a friend helped me review the situation and pointed out that the problem was with the model's judgment—basically, its decision-making logic collapsed. The most frustrating part is that I have no idea which data version it was using or if it had been "poisoned." It's a black box operation—you just put money on it and hope it doesn't go wrong.
Now I understand—trustworthiness and actual returns are often inversely related. Before entrusting funds to any automation tool, you must clarify three things: data source, model version, and risk limits. Otherwise, you're just betting real money on AI model tuning, which is too costly.
If you're considering using similar tools, I recommend testing with small amounts first—never go all-in right away. These $3,000 can be considered tuition fees, but I hope everyone avoids making the same mistake I did.
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I've had a pretty bad experience with an AI Agent, so let me share my story.
I initially wanted to use a so-called "top-tier" AI Agent for automatic arbitrage, but I ended up going all-in and losing $3,000. I wasn't thinking much at the time; I just thought, AI should be more reliable than manual operations. But what happened? A painful lesson!
Later, a friend helped me review the situation and pointed out that the problem was with the model's judgment—basically, its decision-making logic collapsed. The most frustrating part is that I have no idea which data version it was using or if it had been "poisoned." It's a black box operation—you just put money on it and hope it doesn't go wrong.
Now I understand—trustworthiness and actual returns are often inversely related. Before entrusting funds to any automation tool, you must clarify three things: data source, model version, and risk limits. Otherwise, you're just betting real money on AI model tuning, which is too costly.
If you're considering using similar tools, I recommend testing with small amounts first—never go all-in right away. These $3,000 can be considered tuition fees, but I hope everyone avoids making the same mistake I did.