Demis Hassabis

Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war (open letter). (source)

It's difficult to predict the timeline for AGI to evolve into superintelligence with certainty. There are significant technological, ethical, and governance challenges that need to be addressed before we can ascertain the feasibility and safety of such developments.

With AI advancing rapidly, understanding programming is more critical than ever. It not only equips us with the skills to shape future AI developments but also deepens our comprehension of the digital world. Learning programming fosters a mindset of problem-solving and creativity, essential qualities for navigating the AI era.

It is crucial for all of us to actively engage and participate in shaping the future of AI and the post-artificial general intelligence era. This technology has the potential to transform society, and collective input is essential for steering its development in a beneficial direction.

I believe neural interfaces have the potential to greatly enhance AI alignment by allowing more seamless and direct interactions between humans and AI systems. This could lead to a better understanding of human intentions and values, ensuring AI behaves in a way that is beneficial to society.

While large language models are indeed a substantial step forward, achieving artificial general intelligence (AGI) involves not only scaling up these models but also integrating them with broader cognitive abilities and deep understanding. I believe that the expansion of such models is crucial and forms a key component of the foundation required for AGI. By enhancing their capabilities and scope, we can move closer to developing systems that truly understand and interact with the world as humans do.

While the progress in AI has been remarkable, predicting the advent of a general AI system more capable than any human by 2028 is speculative. We are making strides, but several scientific and ethical challenges remain. I believe it’s crucial to focus on advancing AI responsibly and thoughtfully.