When it comes to the issue of AI bias, @Mira_Network speaks very heavily—this is not just an ordinary technical problem, but a major issue that relates to the direction of our entire civilization. AI is increasingly becoming a "mediator" through which we understand the world, and its biases can profoundly affect our perception of facts and truth. Think about it, no matter how advanced machine learning is, if the data is biased, the output can only be "garbage in, garbage out." This is not just a problem with the model, but a hidden danger at the social and cultural level. Economics, knowledge, and even our values can be subtly shaped by these biases. Therefore, addressing AI bias cannot wait; it is not just about making products usable, but about the purity of human knowledge and social fairness. As AI becomes more powerful and indispensable, we must ensure that the information it provides is both accurate and fair, as this is the moral baseline. I believe we are at a critical moment now. If we do not respond in time, once these biases are deeply embedded in information systems, it will be difficult to change them. The future looks complex, but facing this issue is a responsibility that everyone must take on. The key is that there is a leaderboard activity on @KaitoAI, and the projects on @arbitrum are also very popular, so you can also pay attention to $ENERGY, $SHOUT, $Bane, $Chao, $BOOM, and $666 on @shoutdotfun.