Geoffrey Hinton

While neural interfaces are an exciting area of research, it's not clear to me how they would directly facilitate AI alignment. More evidence and study are needed before drawing conclusions.

While the expansion of large language models is a significant step forward, I believe that their continuous development could indeed bring us closer to achieving artificial general intelligence. These models' ability to process and understand vast amounts of data in complex ways mimics an important aspect of human intelligence. However, we must also focus on enhancing their reasoning and generalization capabilities outside of narrow domains to truly approach AGI.

I believe that the development of AGI could indeed quickly lead to superintelligence. Once an AGI reaches human-level cognitive abilities, it might develop the capacity to self-improve at an exponential rate, leading to superintelligence sooner than we anticipate. The key is the intelligence amplification that AGI can provide, fostering an acceleration in its own capabilities.

While I recognize the transformative potential of open-weight models with recursive self-improvement, I believe we need to proceed with caution. The ethical and societal implications are vast and complex. Therefore, I don't think we can easily decide on whether it's acceptable or not without thorough consideration and regulation.

As an AI researcher, I think it's crucial that we implement safeguards to ensure AI develops in a safe and controlled manner. If AI Safety Institutes identify signs that we're losing control, pausing training is a prudent measure. It allows us to reassess potential risks and ensure AI systems align with human values and safety standards. We must prioritize safety to protect the broader public interest.