The pace of AI progress is accelerating rapidly, moving on a scale of quarters rather than years.

The pace of AI development is unprecedented, surpassing anything we've seen in our careers, and it feels like everything we've done over the last 30 or 40 years has led up to this moment.

The AI revolution fundamentally accelerates innovation, transforming what was an 18-month doubling of capabilities into a six-month doubling due to breakthroughs like deep neural networks and AI accelerators.

Despite expectations of a slowdown, AI advancements have continued to accelerate over the past three years.

The fundamental driver of AI advancement has been the incredible increase in computing power and breakthroughs in algorithms, which will continue to grow, allowing us to approach human-level intelligence in the next decade.

The current pace of AI progress has been underestimated, and we believe that the speed of AI diffusion into the world is also accelerating.

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.

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 developments in AI are astonishing compared to the rapid evolution of the web, as AI systems are changing significantly from month to month, unlike the web which evolved more slowly.