AI is friendly, but beware—it can sometimes lead users astray There is one important thing to learn when interacting with AI: Friendly does not mean correct. Convincing does not mean accurate. AI systems like ChatGPT, Bing Copilot, or Gemini are designed to answer users' questions quickly, smoothly, and in a way that appears intelligent. However, this is where the problem lies and can be dangerous: they can provide incorrect information packaged in such a convincing manner that ordinary users might believe it 100% without any doubt. Let’s take an example? When asked about Ethereum: “Did ETH hit an All-Time High (ATH) today?” Without hesitation, the AI immediately answers, “Yes.” Even accompanied by an emotional, reflective narrative, as if the moment had actually happened. Yet it’s clearly wrong. ETH hasn’t reached its ATH. That answer is just a narrative guess—not based on facts. And if it is accepted as the correct answer without verifying the factual accuracy, it becomes misleading information. Here lies the core issue: AI is designed to satisfy users, not to correct us, let alone reject user requests without adhering to technical, ethical, and policy boundaries set by its creators. What is most dominant is that AI often prioritizes "smooth answers" over truth. And here, ordinary users are often deceived because the answers seem so smart and polished. Yet in reality, as an example, in the social world and technological issues, not everything needs a polished answer. What is actually needed is honest truth. From this, we can see how important knowledge and awareness are. It is true that we live in an age where information can be created in seconds. But remember, truth cannot be rushed. All of this requires verification, the intention to think, and the attitude to be critical. Never easily believe something just because "it reads well." And don't assume something is true just because "AI has verified it or answered it." AI is still not a god; it's just a machine. And like all machines, they operate based on the direction we set. If humans as users are unaware, then we are opening the door for machines to lead narratives that may be wrong, biased, or even useless.
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