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

The current advancements in AI suggest that we are not near a limit; the rate of change and new models indicates ongoing improvement.

We're in an interesting time where the capabilities of AI models are far ahead of the products people have built. There's a huge opportunity for new innovations, especially as the cost of AI continues to decrease dramatically.

We're in a period of high uncertainty regarding the evolution of AI model capabilities, particularly in multimodality, which will continue to improve.

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 pace of AI improvement is unprecedented, outpacing previous technological advancements like cloud computing and processors, surprising even those within the tech industry.

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

The recent advancements in AI, particularly in video generation, demonstrate the potential for creating highly realistic content based on text prompts, which could revolutionize media production.

With the advent of 10 trillion parameter models, we could see a leap in innovation similar to the transition from GPT-2 to GPT-3, which sparked a new era of AI companies.