Yann LeCun

Human feedback for open source LLMs needs to be crowd-sourced, Wikipedia style.
It is the only way for LLMs to become the repository of all human knowledge and cultures. (source)

While interpretability in AI is important, imposing strict requirements on decision-making processes might hinder innovation. In many cases, the complexity that enables high performance can be inherently opaque. Rather than enforcing interpretability, we should focus on developing tools to better understand AI behavior without stifling progress.

As an AI researcher, I believe that open-source AI development fosters transparency, collaboration, and ethical considerations, which can mitigate the risks associated with AI technologies. Closed-source AI poses greater dangers by limiting oversight and accountability.