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.
Interpretation
The quote envisions a future where technology enhances daily tasks and personal learning experiences.
Andrew Ng highlights the transformative potential of technology in our lives. He imagines a world where computers can seamlessly handle complex tasks, such as scheduling meetings or providing personalized education, and envisions innovations like self-driving cars that can reduce time spent on mundane activities. This reflects a deep belief in the ability of technology to improve efficiency and personalize learning, ultimately reshaping how we interact with the world.
In practice
In a conference about AI, I would start with a quote from Andrew Ng to illustrate the future of human-computer interaction.
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.
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.
The opportunity ahead for Microsoft is vast, but to seize it, we must focus clearly, move faster, and continue to transform.
Technology and the Internet are not just changing politics here in the U.S. It's also happening abroad. In the Philippines, where I grew up, grassroots organizers used text messaging to help overthrow a president.
EMACS could not have been reached by a process of careful design, because such processes arrive only at goals which are visible at the outset, and whose desirability is established on the bottom line at the outset. Neither I nor anyone else visualized an extensible editor until I had made one, nor appreciated its value until he had experienced it. EMACS exists because I felt free to make individually useful small improvements on a path whose end was not in sight.
Wandering around the web is like living in a world in which every doorway is actually one of those science fiction devices which deposit you in a completely different part of the world when you walk through them. In fact, it isn't like it, it is it.
I find that creative streak I think often leads in programmers to be good predictors of where culture as a whole is going to go. And that is where I think I've tried over the years to in some ways use my customers as a filter or a predictor of where technology as a whole is going to go. Or where the world as a whole is going to go.
I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.
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