Blockchain projects are diverse, and on-chain transactions are as complex as a maze, so everyone must be cautious—extra cautious—and focus intently, staying sharp with full attention. Though AI isn’t omnipotent, its role today is undeniable. We shouldn’t rely on it completely or dismiss it entirely; AI’s development is a major trend with immeasurable potential and a promising future. AI is like a reliable assistant—while not all-powerful, it can help you avoid pitfalls and save time and money at critical moments. Data analysis can be left to tools, but the final decision rests with you. Self-awareness is key; your judgment matters too. AI can spot risks but isn’t a “fortune teller”; being able to clarify the path is already impressive. In the future, whether in work or life, our interactions with AI will grow more frequent. It’s a product of the new era, holding immense value and boundless prospects.
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The other day, I came across a newly launched meme coin, and its community was as lively as a Lunar New Year celebration.I asked AI, "Should I get into this coin?"It analyzed calmly for five minutes, listing out a whole bunch of reasons:uneven token distribution, no product backing, abnormal capital flows...And concluded with: "The risks are extremely high; investment is not recommended." I thought about it for a moment—still, I felt that itch. So I put in a little pocket money just for fun.The next day, I checked, and it had actually surged tenfold. I laughed and said to AI, "See? This is what you call human nature."It stayed silent for a few seconds, then only replied: "The volatility is indeed quite high." That’s when it hit me—AI can analyze logic, but it doesn’t understand that joy of "wanting to jump in even when you know it’s irrational."Sometimes, human FOMO is also a form of vitality.
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A while back, I was keeping an eye on a project and wanted to participate in its interactions. But there were so many on-chain transactions that my eyes were practically glazed over from staring at them. I casually tossed the contract data to AI and asked if it could help me organize it. To my surprise, it actually pulled out the key wallet addresses, and even alerted me that several interactions were abnormal and the fund flows looked fishy. I took a closer look, and sure enough, there were issues—so I finally decided not to jump in. Later, the project team ran off overnight, and the group chat was filled with cries of frustration. I quietly felt a sense of relief: If AI hadn’t helped me sift through the data this time, I would’ve probably ended up wasting my time (and money) on it too. At the end of the day, AI isn’t a cure-all. But when it matters most, it can help you see a little more clearly through the risks. Sometimes, that’s more than enough.
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