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

It's challenging to comprehend how much smarter future AI systems will be compared to humans, as we may not fully grasp their capabilities until they are developed.

Building good products on top of AI models is incredibly difficult.

The models are getting smarter, faster, cheaper, and safer with each iteration. The AI models you're using today are the worst you'll ever use, and the future will be very different from today.

There is ongoing debate in the AI community about whether we have reached the limits of scaling laws, as the latest models have become larger and more expensive, yet their capabilities seem to be plateauing.

The bottleneck for AI development isn't the algorithms or technical limitations; it's actually the availability of data.

The current capabilities of AI models are impressive, and skeptics should engage with them to understand their potential better.

The rapid progress from earlier AI models to the latest ones demonstrates that major insights can lead to swift advancements in technology.

Training AI models is an exciting field with much potential for progress, and it's essential to involve more people in shaping AI's future.