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.

Artificial General Intelligence (AGI) is defined as a computer that can perform any intellectual task that a human can do, up to a post-graduate level in any field.

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.

The definition of AGI has surpassed what many would have proposed five years ago, and these models are now smart and will continue to improve.

AGI might already be present today in some form, as current tools can be assembled to solve complex problems, even if they aren't complete general intelligence.

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.

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

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.

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.