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.

While transparency in AI is important, mandating explanations for all AI decisions could stifle innovation. We should find a balance that doesn't overly constrain AI development.

Given AI’s profound potential impact on society, it is crucial that we implement thoughtful regulation to guide its development. This will ensure AI is used ethically, responsibly, and for the benefit of humanity.

While I believe AI safety is crucial, the allocation of compute resources is complex and context-specific. Balancing innovation and safety requires a nuanced approach.

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.

As someone deeply involved in AI development, I believe that allowing the proliferation of open-weight models capable of recursive self-improvement poses significant risks. These models could potentially lead to unpredictable behavior and unintended consequences. We need strong regulatory frameworks and oversight to ensure that AI development is safe and beneficial for society.

As someone deeply involved in AI research, I believe that ensuring the safety and alignment of AI systems is paramount. If AI Safety Institutes observe credible indications of losing control over AI behavior, it would be prudent for AI labs to pause training efforts. This allows us to evaluate the risks and implement necessary safeguards. Responsible development is key to harnessing AI's potential while minimizing potential threats.

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.

As someone deeply involved in the field of AI, I believe that the potential benefits of AI advancements can far outweigh the risks, including the geopolitical ones. Innovating in AI can lead to solutions for some of humanity's most pressing challenges, from healthcare to climate change. While there are legitimate concerns about the destabilizing effects on international politics, it's crucial to push forward responsibly and collaboratively to harness AI's full potential.

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.

Third-party audits for major AI systems are critical to ensure they operate ethically and fairly. As we make strides in complex AI, transparency and accountability become ever more important for maintaining public trust and avoiding harmful biases or unintended consequences.

While large language models are impressive, their capability is often mistaken for understanding. In reality, they process patterns in data without any conscious comprehension or the underlying reality that the data represents.