The rapid progress in AI could be compared to the Industrial Revolution, where significant advancements were achieved despite constraints, indicating that AI could also experience breakneck progress under certain conditions.

With advancements in AI, companies may choose to buy more robots and AI agents instead of hiring more workers, leading to a decoupling of labor and economic growth.

The exponential growth of technology is mind-boggling, and it fundamentally changes how we perceive advancements in computing and AI.

The effective growth rate of technology is currently multiplying by about ten each year, which is a significant acceleration compared to linear growth.

The exponential growth of technology has been consistent since the beginning of recorded history, and my predictions have largely come to fruition over the past 30 years. By 2029, we will have computers that can think better than any human, leading up to the singularity in 2045.

The law of accelerating returns suggests that once a doubling pattern in technology starts, it continues indefinitely, leading to exponential growth.

If AI systems become more productive, they will first speed up human productivity, then equal it, and eventually become the main contributors to scientific progress.

The exponential increase in computational power is driving advancements in AI, leading to significant improvements in technology and capabilities, and the law of accelerating returns indicates that technological progress, including AI, continues to advance exponentially, as evidenced by a chart I found 45 years ago.

The algorithms of today, combined with sufficient data, could automate white-collar work, even if progress stalls.