Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
Interpretation
Deep learning is effective in specific areas with ample data, but it struggles with tasks requiring meaningful conversations.
Andrew Ng's quote highlights the strengths and limitations of deep learning technology. While it excels in data-rich environments and can perform spectacularly in narrowly defined tasks, it falls short in areas that necessitate nuanced, human-like interaction, such as engaging in meaningful conversations, which remains a challenge for artificial intelligence.
In practice
In a discussion about the limitations of AI, one might say, 'As Andrew Ng pointed out, most of the value of deep learning is in narrow domains, but it cannot have a meaningful conversation.'
AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.
It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
Imagine if we can just talk to our computers and have it understand, 'Please schedule a meeting with Bob for next week.' Or if each child could have a personalized tutor. Or if self-driving cars could save all of us hours of driving.
A single neuron in the brain is an incredibly complex machine that even today we don't understand. A single 'neuron' in a neural network is an incredibly simple mathematical function that captures a minuscule fraction of the complexity of a biological neuron.
None of us today know how to get computers to learn with the speed and flexibility of a child.
I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.
With the development of the Internet...we are in the middle of the most transforming technological event since the capture of fire. I used to think that it was just the biggest thing since Gutenberg, but now I think you have to go back farther.
Program testing can be used to show the presence of bugs, but never to show their absence!
There are big lines between those who play video games and those who do not. For those who don't, video games are irrelevant. They think all video games must be too difficult.
The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.
Since the rise of Homo sapiens, human beings have been the smartest minds around. But very shortly - on a historical scale, that is - we can expect technology to break the upper bound on intelligence that has held for the last few tens of thousands of years.
The key questions will be: Are you good at working with intelligent machines or not? Are your skills a complement to the skills of the computer, or is the computer doing better without you? Worst of all, are you competing against the computer?
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