When developing new technology, expect that it won't work on the first try or even the tenth; it's crucial to iterate quickly and avoid anything that slows down your progress.

I think we should take actions to minimize the probability that AI goes wrong, which is why I called for a pause in AI development.

In hard tech, the iteration cycles are much longer than in software, often due to hardware constraints or regulatory issues, which can affect how quickly you can develop and test new ideas.

The philosophy of 'slow is smooth, and smooth is fast' guides our product development. We believe in taking the time to build a solid foundation, especially when the software's scope and stakes are high.

You should actively seek out and use new products, as waiting for them to be 'ready' can hold you back from leveraging advancements.

In the AI era, things will change every day. If you wait too long, you may never be able to launch your product.

The trends in technology often take longer to materialize than anticipated, indicating that we are just beginning to see the potential of the current wave of innovation.

The rate of change in technology is dangerous; even innocent intentions can lead to poor consequences, and those involved need to own it.

The precautionary principle, which advocates for caution in the face of new technologies, has often stifled innovation and led to missed opportunities for progress, as seen in the case of nuclear power.