I saw @Mira_Network mention a very critical but easily overlooked issue: once AI is applied on a large scale, the impact of bias will be infinitely amplified, and it will be cumulative.

AI is no longer just a toy; it is now being used in real-life scenarios that truly impact people's lives, such as search, healthcare, finance, and education. On the surface, it seems to improve efficiency and enhance experience, but if the underlying data and logic are inherently biased, the problem is no longer as simple as just "getting the wrong answer."

For example, in the medical field, if AI has a low disease recognition rate for certain populations, it can affect life and death; in finance, if a model silently lowers the credit scores of certain regions or groups, the entire community may miss out on development opportunities for a long time; and in education, if AI continuously recommends content from a certain inherent perspective, children will be exposed to a filtered "worldview" from a young age.

The terrifying thing about these issues is that they are not one-time errors, but are repeated every day, every second, quietly turning these biases into "defaults." In the past, when technology malfunctioned, it might have only had a localized impact, but once AI runs as infrastructure within global systems, a tiny bias could influence billions of decisions, making it fundamentally unfixable.

Therefore, instead of getting tangled up in whether AI will speak nonsense, what we need to be more vigilant about is that it "logically continues to be wrong." Bias is no longer a localized issue, but a scaled, compound risk. If we don't intervene early, by the time we realize it, the impact will have become deeply rooted.