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The extreme difficulty of scaling production of new technology is not well understood. It's 1000% to 10,000% harder than making a few prototypes. The machine that makes the machine is vastly harder than the machine itself.

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I'm interested in things that change the world or that affect the future and wondrous, new technology where you see it, and you're like, 'Wow, how did that even happen? How is that possible?

If you think back to the beginning of cell phones, laptops or really any new technology, it's always expensive.

There are really two things that have to occur in order for a new technology to be affordable to the mass market. One is you need economies of scale. The other is you need to iterate on the design. You need to go through a few versions.

Technology leadership is not defined by patents, which history has repeatedly shown to be small protection indeed against a determined competitor, but rather by the ability of a company to attract and motivate the world's most talented engineers.

People often mistake technology for a static picture. It's less like a picture and more like a movie. It's the velocity of technology innovation that matters. It's the acceleration.

We must develop open source systems that enhance trust and transparency. We must build quality data centres free from biases, we must democratise technology and create people centre applications. We must address concerns related to cyber security, disinformation and deepfakes. We must also ensure that technology is rooted in local ecosystems for it to be effective and useful. Loss of jobs is AI's most feared disruption, but history has shown that work does not disappear due to technology, only its nature changes. We need to invest in skilling and re-skilling our people for an AI-driven future.