Judea Pearl

While I believe in the importance of AI development, it should primarily be led by experts in the field to ensure responsible and ethical advancements. Widespread participation without proper knowledge may lead to unintended consequences.

I believe that simply expanding large language models is not sufficient for achieving artificial general intelligence (AGI). AGI requires not just processing vast amounts of data or mastering language syntax, but also understanding causal relationships and developing cognitive abilities that mimic human reasoning. Large language models lack this causal understanding and are primarily statistical, grounded in pattern recognition rather than the deeper, necessary grasping of the world's underlying structure.

Restricting open-source AI models stifles innovation and limits the collaborative potential of our scientific community. The key is to implement robust ethical guidelines and safety protocols to prevent misuse.

I am skeptical that AGI could quickly lead to superintelligence. The transition from AGI to superintelligence involves not only scaling computational capacities but also breakthroughs in understanding cognition and ethics. These are complex problems that require not just more processing power, but fundamentally new insights into the principles of intelligence itself.

I disagree that open-source AI is more dangerous than closed-source AI. Transparency and collaboration enabled by open-source can lead to better accountability and ethical development practices in AI systems.