“We really believe that long-term, the way AI will drive is similar to ...” — Jensen Huang Quote

We really believe that long-term, the way AI will drive is similar to the way humans drive - we don't break the problem down into objects and vision and localization and planning. But how long it will take us to get there is questionable.

Software is the language of automation.

There are very few industries that I know of - I mean, there are companies in fashion, in cosmetics. They're developing AI models and training them in the cloud in the beginning. If they're successful, they build their own datacenters and develop the software in their own datacenter, like Uber does.

Smart people focus on the right things.

We have an amazing engineering team in the company pushing the limits of device physics and some great partners in manufacturing.

Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.

The main reason I backed DeepMind was strategic: I see my role as bridging the AI research and AI safety communities.

Weaponized AI is probably one of the most sensitized topics of AI - if not the most.

Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!

The truth is that behind any AI program that works is a huge amount of, A, human ingenuity and, B, blood, sweat and tears. It's not the kind of thing that suddenly takes off like 'Her' or in 'Ex Machina.'