
加密小师妹|Monica🔆|Jul 10, 2025 07:40
I don't quite agree with some of Sanyi's views, even though we are good friends
I support his criticism of the negative impact of lip syncing AI articles and creating spam content through group reviews, but this is also a loophole and negative effect brought by the Kaito algorithm.
Returning to hands-on trading, the real situation now is that the studios around me are streamlining their teams, and many people are starting to switch to learning trading, but they are not turning to on chain trading, but rather to trading more in the US stock market. Or it's because there are too few Alphas in the entire market.
I currently understand the real situation of still insisting on grooming:
Some teams with financial strength are engaged in projects such as BP, Lighter, and the previous Aster that burn money to earn points. The difference in the strategy of single round point brushing is not significant, except that the cost is lower than others, and the difference is not very obvious. This still depends on the practical understanding of the operators.
Part of them are working on various Galaxy, running nodes, and testing networks. This part actually includes projects on Kaito's list, Irys、camp、Boudless。
Speaking of which, it's better to post a hundredfold CA. Those who frequently post memes should know that whenever a blogger shares a hundredfold CA, they have also shared other zeroing CAs. This is the high volatility of MEME. Truly powerful traders can either open paid groups to share (I am also willing to pay for knowledge, don't criticize), or you can only see reviews and methodologies on the public domain. (Of course, this kind of review and methodology is very valuable for learning)
Then, let me talk about the situation of our small team. Although we are involved in verbal manipulation, I firmly prevent AI proofreading. I will strictly control the quality and even layout of their articles, and each article will be submitted to me for review. Although it may be a bit clumsy, my starting point, Kaito, will improve the algorithm in the future. If we relax the requirements from the beginning, we may be eliminated in the future.
the above
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