AI returning to rationality is essentially about 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. The design logic of GateAI precisely respects this reality. It functions more like an information assistance system: data sources are clear, logical pathways are traceable, rather than a black box output. In the current context, "explainability" is especially important because when trading results fall short of expectations, users at least know what information their judgments are based on.

GateAI does not promise profits nor does it create illusions. Its value lies in helping traders build their own cognitive systems, rather than replacing this process. This tool-like attribute makes it more suitable for long-term use rather than chasing short-term hot spots. The true mark of AI maturity is not predicting the market, but not crossing boundaries. From this perspective, GateAI appears more "like AI."#GateAI正式上线