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.

The last two years have seen a massive rush of consumer AI technologies, marking an exciting moment in the field.

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

We're entering a new phase of the AI platform shift, where decades of research are becoming reality for people globally.

When we started OpenAI, I was convinced that deep learning was genuinely working and that it improved with scale. This realization was crucial because it seemed like others weren't recognizing its potential.

The next decade will see profound changes in computing, driven by advancements in AI and the transition from traditional software to AI-driven solutions.

The period of AI development has been long, starting around 2012-2013, but gained visibility in the last three to four years.

AI is not a new concept; it has gone through cycles of booms and busts, and I believe we are now at a pivotal moment where the time for AI is finally here.

The growth in computational power over the last decade has been astounding, enabling the development of more complex AI models and applications.