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)

Large language models don't truly understand content; they simulate understanding by identifying patterns in data. Real understanding involves conscious reasoning, something these models lack.

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.

Simply expanding large language models is not sufficient for achieving artificial general intelligence (AGI). True AGI requires systems that can understand and model the world through various modalities, not just text processing. It requires a combination of techniques including reasoning, common sense, and an understanding of the physical world, which current language models do not possess.

I believe people should have the right to know if they are speaking to an AI. Transparency is crucial in fostering trust and ethical interactions between humans and artificial intelligence systems.

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.

While transparency is important, requiring model cards before commercial release could stifle innovation and impose unnecessary burdens on developers. Instead, developers should focus on responsible usage and improvements over time.

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.