AI returning to rationality is essentially traders beginning to reflect on "the role of tools."

The biggest misconception about AI in trading is viewing it as an "answer machine," but the market itself has no standard answers, only probabilities and choices. GateAI's design logic precisely respects this reality. It functions more like an information auxiliary system: data sources are clear, logic paths are traceable, rather than black-box outputs. In the current context, "explainability" is particularly important because when trading results fall short of expectations, users at least know what information their judgments were based on.

GateAI doesn't promise returns, nor does it create illusions. Its value lies in helping traders build their own cognitive frameworks, rather than replacing this process. This tool attribute determines it's more suitable for long-term use rather than chasing short-term trends. The true mark of AI maturity is not predicting markets, but staying within boundaries. From this perspective, GateAI appears more "like AI." #GateAI正式上线