Near联创：AI和大模型带来的不是安全问题，而是人的一致性问题。 Translation: Near co-founder: AI and large models bring not security issues, but consistency issues for humans.

BlockBeats reported on September 13th that Illia Polosukhin, co-founder of Near, spoke at the Token2049 conference in Singapore. He stated, "On one hand, this is a proxy or model that I use to represent myself. I hope its behavior is consistent with my expectations. This seems more like the problem that OpenAI and other companies are solving. They present it as a product to ensure that its behavior is consistent with the company's values, while not deviating from them." However, if we look at it from a global perspective, I think the real issue is not the safety of AI, but rather the need to address the consistency of human behavior. The challenge of generating content and false news has been present throughout human history. In Web3, we actually make Byzantine fault tolerance a core component, because there is erroneous information within the Byzantine army, and they try to figure out how to deal with it. So, in fact, the entire field is based on erroneous information and malicious actors. Therefore, this is a human problem about malicious actors, and AI, this language model, and generated content are new tools that allow for screening."