None of us today know how to get computers to learn with the speed and flexibility of a child.
Interpretation
Humans have yet to develop computers that can learn as quickly and adaptively as children do.
The quote highlights the current limitations in artificial intelligence and machine learning, emphasizing that while we have made significant advances in technology, we still cannot replicate the innate learning abilities of a child. This underscores the complexity of human cognition and the challenges faced in creating machines that can learn and adapt with the same efficiency and flexibility as humans do.
In practice
In a discussion about the future of AI technology during a conference, one might say, 'As Andrew Ng pointed out, none of us today know how to get computers to learn with the speed and flexibility of a child.'
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.
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.
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.
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.
For thousands of years, until about 1850, you see humans accumulating more and more power by the invention of new technologies and by new systems of organization in the economy and in politics, but you don't see any real improvement in the well-being of the average person.
Mark my word - A combination airplane and motor car is coming.
We need to re-create boundaries. When you carry a digital gadget that creates a virtual link to the office, you need to create a virtual boundary that didn't exist before.
There has never been an unexpectedly short debugging period in the history of computers.
Technological society leads to increasing numbers of people who cannot adapt to the inhuman rhythm of modern life with its emphasis on specialization. A class of people is growing up who are unexploitable because they are not worth employing even for the minimum wage. Technological progress makes whole categories of people useless without making it possible to support them with the wealth produced by the progress.
Human language is the new UI layer, bots are like new applications, and digital assistants are meta apps. Intelligence is infused into all of your interactions.
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