It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
Andrew NgRead
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.
Interpretation
AI advancements are largely seen in specialized areas, with general intelligence remaining distant.
In this quote, Andrew Ng highlights the significant progress made in artificial intelligence, particularly in specialized fields like machine translation and self-driving cars. However, he emphasizes that true general intelligence, akin to human-like cognition, may still be far off, potentially taking centuries unless an unforeseen breakthrough occurs.
In practice
During a tech conference to explain the current state of AI development.
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.
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.
Every new computer program is basically doing some task that a person used to do. But the computer usually does it faster, more accurately, for less money, and without any health insurance costs.
Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.
Cyberspace is colonising what we used to think of as the real world. I think that our grandchildren will probably regard the distinction we make between what we call the real world and what they think of as simply the world as the quaintest and most incomprehensible thing about us.
The mistake that makes launching a venture expensive is when you try to make a disruptive technology so good that it can compete on a quality basis with an established product.
It really matters whether people are working on generating clean energy or improving transportation or making the Internet work better and all those things. And small groups of people can have a really huge impact.
Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
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