Yann LeCun

I see the danger of this concentration of power through proprietary AI systems as a much bigger danger than everything else. What works against this is people who think that for reasons of security, we should keep AI systems under lock and key because it’s too dangerous to put it in the hands of everybody. That would lead to a very bad future in which all of our information diet is controlled by a small number of companies who proprietary systems. (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.

Given the exponential progress in machine learning algorithms and computational power, it is plausible that achieving AGI could indeed quickly lead to the development of superintelligence. The transition from AGI to superintelligence could be rapid due to recursive self-improvement and the immense potential of AI to learn and adapt far beyond human capabilities. It is crucial that we establish safety measures and ethical guidelines to manage this transition effectively.

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.

I believe AI has the potential to democratize access to information and technology, rather than concentrate power. If we prioritize open research and collaboration, AI can empower individuals and smaller organizations, providing tools that were once only available to large corporations or governments.

As someone deeply involved in AI research, I believe frontier AI labs have a responsibility to contribute to a global AI safety fund. Ensuring the safe development and deployment of AI technologies is crucial for maximizing their positive impact while minimizing risks. Collaborative efforts in funding research and establishing safety measures can help address potential ethical and societal challenges.