The term AGI is important because it represents a theoretical construct of what human intelligence can achieve, and current AI systems do not yet meet this standard.

Current AI models are approaching a level of intelligence that rivals human capabilities, suggesting that artificial general intelligence (AGI) may already be here.

The definition of AGI is crucial; it refers to high-level machine intelligence that can perform any task a human can do at least as well as the best human.

Defining AGI is complex; if you ask ten OpenAI researchers, you'll get fourteen different definitions.

I think AGI will likely emerge in a decade or two, but some believe it could happen in four to five years, around 2035.

It's crucial for the AI field to agree on a definition of AGI, as this will help guide the development of reliable and safe systems in the future.

Demis Hassabis believes that AGI could be closer than previously thought, with significant advancements in AI technology occurring rapidly.

We're seeing incredible progress in AI, with existing techniques being pushed to their limits and new inventions being developed continuously. However, achieving Artificial General Intelligence (AGI) may require one or two more breakthroughs.

The timeline for achieving AGI has shifted; I initially thought it would take about 15 years, but now I estimate we might reach significant milestones by 2030 or 2031. We had extensive discussions about the safety and alignment of artificial general intelligence (AGI), recognizing the potential risks if something goes horribly wrong.