When you go to Japan, there is such a talent shortage that the debate about AI taking jobs is almost non-existent. The debate is, how can we automate this so we can get all the work done?
Interpretation
In Japan, the focus is on automation due to a shortage of workers rather than fearing job loss from AI.
The quote highlights a significant contrast in attitudes towards artificial intelligence and automation between Japan and other countries. Due to a shortage of human talent, Japan is more concerned with finding ways to integrate AI and automation into their workforce to enhance productivity and address labor gaps, rather than fearing the possibility of AI replacing jobs. This reflects a pragmatic approach where the emphasis is on leveraging technology to solve pressing workforce challenges.
In practice
In a presentation about future job markets, one could reference this quote to illustrate Japan's unique approach to labor challenges.
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.
None of us today know how to get computers to learn with the speed and flexibility of a child.
It would be ridiculous to ignore the speed and possibilities of the digital landscape - you absolutely need to have fast-moving news online, but if you want to build a large audience over time, you absolutely have to take a risk on the big challenging stuff.
The problem with the Internet is that it gives you everything - reliable material and crazy material. So the problem becomes, how do you discriminate?
To me, it looks more or less like the hardware designers have run out of ideas and that they're trying to pass the blame for the future demise of Moore's Law to the software writers by giving us machines that work faster only on a few key benchmarks!
Ultimately, users visit your website for its content. Everything else is just the backdrop.
The helicopter is probably the most versatile instrument ever invented by man. It approaches closer than any other to fulfillment of mankind's ancient dreams of the flying horse and the magic carpet.
It's a fact that more people watch television and get their information that way than read books. I find new technology and new ways of communication very exciting and would like to do more in this field.
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