Andrew Ng is a true AI celebrity.
Mostly known for his great Deep Learning courses in Coursera, which he co-founded. Currently he has his own venture fund, of course for AI startups, is heading Landing.ai a computer vision startup that just made its product LandingLense free to use.
Here are his - IMHO - most important statements in this Venture Beat (VB) interview:
"Due to generative AI’s annual rate of growth, in a few years, it will become one more tool to be added to the portfolio of tools AI developers have, which is very exciting."
"Generative AI: I am surprised by how many startups are experimenting with this one thing. Not every startup will succeed, but the learnings and insights from lots of people figuring it out will be valuable."
" It’d be a mistake to ignore or to not embrace emerging technologies. For example, in the near future artists that use AI will replace artists that don’t use AI. The total market for artwork may even increase because of generative AI, lowering the costs of the creation of artwork."
"Generative AI is automation on steroids, and if livelihoods are tremendously disrupted, even though the technology is creating revenue, business leaders as well as the government have an important role to play in regulating technologies."
"Machine learning engineers who work on the development of these next-gen systems have now become more aware of the problems and are putting tremendous effort into collecting more representative and less biased data."
"Even people are biased, so if we can manage to create an AI system that is much less biased than a typical person, even if we’ve not yet managed to limit all the bias, that system can do a lot of good in the world."
"My number one piece of advice is to start small. So rather than worrying about an AI roadmap, it’s more important to jump in and try to get things working, because the learnings from building the first one or a handful of use cases will create a foundation for eventually creating an AI roadmap."
"I see many businesses take months to decide whether or not to make a modest investment in AI, and that’s a mistake as well. So it’s important to get started and figure it out by trying, rather than only thinking about [it], with actual data and observing whether it’s working for you."
"I disagree. Deep learning is far from reaching its limits. I’m sure that it will reach its limits someday, but right now we’re far from it."
"The sheer amount of innovative development of use cases in deep learning is tremendous. I’m very confident that for the next few years, deep learning will continue its tremendous momentum."
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