The confidence technologists have in AI's capabilities may be misplaced, as we are entering a realm of complexity that is difficult to predict. Sam Altman, founder of OpenAI, believes we now know how to build Artificial General Intelligence (AGI) as traditionally understood, raising questions about the role of humans in professional output and GDP creation.

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

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.

The timeline for achieving artificial general intelligence (AGI) is uncertain, with predictions varying widely, but many believe it could happen sooner than previously thought, possibly by 2040.

My book 'The Singularity is Near' projected that AGI would occur by 2029, a prediction that is now considered conservative by many experts.

Initially, my projection for AGI was rejected; I predicted it would happen in 30 years, while others thought it would take a century. Now, it's widely accepted that it will happen sooner, and I believe it will be beneficial for humanity.

I believe significant advancements in AI will likely occur after 2030, which is when I think we might see a real AGI moment.

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

While there are still missing pieces for achieving AGI, the incremental improvements in AI technology suggest we are on the right path. When we unlock the gap between System One and System Two thinking, that's when we make a significant step forward in AI.