What I listened to / read
it is a relaxing day. I searched for some clips to listen in TED.com while I was sipping hot chocolate. my eyes were then stared at the clip titled "The jobs we'll lost to machines-and the ones we won't" by Anthony Goldbloom. I thought that it is very interesting and can make us realized that we are not only fighting for maintaining our works from other candidates or competitors, but we also have a risk to lose the job to artificial intelligence.
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What it says
Anthony firstly introduced his niece "Yahli" and also talk about her family's life. he then told that there are a research on future of works at Oxford University in 2013. they claimed that 50% of work have a risked being automated by machines. Anthony said that the implication of machine participation in our works had been developed from 1990s as the tool for easy but high-volume tasks such as sorting the mail by reading the zip code. it were then developed for more and complicated jobs. those workers responsible for that jobs are facing with losing their jobs However, Anthony said that artificial intelligence have a limitation on tracking novel situation which is the advantage of human on the works. Hence he tried to encourage to challenge with anything we do in everyone before the machine beat you out of your works.
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My response
Once the clip finished, I come back to think that every second is passed, machine learning are more and more improving itself for more complicated works. But, what are we doing right now? someone still live in very funny, lazy way. we do not know that the possibility of losing your jobs by automates is coming closer and closer. some of example using machine for the tasks appeared on my mind that more than the half of products we use in daily life came from the ability of machine in almost steps of production. as the point of manufacturers and entrepreneurs, the machine can produce more profit and reduce the cost more than hiring the human since the machine can work on frequent, reducible, reproducible and high-volume tasks in very smarter and smarter way. This idea sounds like a horror movie for all worker since it can let their jobs flown away from their hands easily more than they thought.However, the automated candidates still have a fundamental limitation that is tracking novel situation ,imagination and inspiration. why do I say that? as Anthony said the machine needs to learn from large volume of past data before it analyses and predicts, but the human does not. we can make the progress on the novel situation using the knowledge and applied it by your experiences and creativity which is lacking in machine to find the new or discover the new thing. so, I want to encourage everyone to challenge yourself everyday , imagine and make in a practical way for self-improvement and prevent machine beating your life.