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.
Java and C++ make you think that the new ideas are like the old ones. Java is the most distressing thing to hit computing since MS-DOS.
The greatest single programming language ever designed
The technotronic era involves the gradual appearance of a more controlled society. Such a society would be dominated by an elite, unrestrained by traditional values. Soon it will be possible to assert almost continuous surveillance over every citizen and maintain up-to-date complete files containing even the most personal information about the citizen. These files will be subject to instantaneous retrieval by the authorities.
The Internet allows the small guy a global marketplace. But technology is harmful in the sense that we get too much information from it. Because of the web we get 10 times the amount of noise we ever got, which makes harmful fallacies far more likely.
This is perhaps the most beautiful time in human history; it is really pregnant with all kinds of creative possibilities made possible by science and technology which now constitute the slave of man - if man is not enslaved by it.
You know, one of these things that happened in the '60s and '70s was this confluence of, sort of, a counter-culture with computer culture.
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