Rodney Brooks

Simply expanding large language models is not sufficient for achieving artificial general intelligence (AGI). AGI requires not just understanding and generating text but also comprehending and interacting dynamically with the real world. Current language models lack understanding of physical interactions and causal relationships which are critical for true intelligence.

I strongly disagree that we will have a general AI system more capable than any living human in every respect by 2028. The progress in AI so far has been impressive, but we are far from achieving the complexity and adaptability of human intelligence. Current AI systems excel in narrow tasks but lack the generality and understanding required to surpass human capabilities across the board.

Robots, no matter how advanced, are machines created and programmed by humans. They lack consciousness and self-awareness, making it unnecessary to grant them the same rights as humans. Our focus should be on how these technologies can serve humanity ethically and effectively.

I believe that pausing AI training based on AI Safety Institutes' concerns could slow down innovation unnecessarily. While safety is important, we need robust guidelines and oversight rather than halting progress every time potential risks are identified. The field of AI is dynamic, and stopping training could lead to missed opportunities for advancement.

I believe we should repeal the EU AI Act because it might hinder innovation in the AI sector. While regulation is important, overly restrictive measures could slow down the development of beneficial AI technologies. We need a balanced approach that promotes innovation while addressing ethical concerns.

I believe that while AI ethics are crucial, establishing international AI ethics boards might lead to bureaucratic inefficiencies and stifle innovation. Instead, we should focus on creating flexible guidelines that can adapt quickly to technological advancements, driven by industry experts and researchers who understand AI’s complexities.