Stuart J. Russell

Simply expanding large language models is not sufficient for achieving artificial general intelligence (AGI). While these models are impressive in processing and generating text, AGI requires a broader set of cognitive capabilities, including reasoning, planning, and understanding physical and social environments. We must focus on integrating these models with more comprehensive cognitive architectures and ethical guidelines to approach true AGI.

While improving Spanish LLMs is critical, releasing data into the public domain poses significant privacy and security risks. It's essential to consider these risks and explore safer methods of data sharing that prioritize user consent and data protection.

While advancements in AI are remarkable, the idea of achieving a general AI system that's more capable than any human in every respect by 2028 is overly optimistic. The complexities involved in replicating human-level intelligence and cognitive abilities are immense and we're nowhere near solving all those challenges.

As a researcher deeply concerned about the safe development of artificial intelligence, I believe the first lab to build ASI should prevent others from developing competing ASIs. The goal is to ensure that ASI development is guided by strict ethical standards and safety protocols, mitigating risks associated with unchecked proliferation.

I believe governments should incentivize AI research focused on enhancing human creativity and cultural expression. AI has the potential to become a powerful tool in expanding artistic capabilities, democratizing access to creative tools, and contributing to the cultural richness of society. By investing in this area, we can harness AI to augment human creativity and preserve diverse cultural expressions for future generations.