It's good to test yourself and develop your talents and ambitions as fully as you can and achieve greater success; but I think success is the feeling you get from a job well done, and the key thing is to do the work.
Peter ThielRead
The optimism that many felt in the 1960s over labour-saving technology is giving way to a fearful question: 'Will your labour be good for anything in the future? Or will you be replaced by a machine?'
Interpretation
The quote expresses a shift from optimism about technology to fear about job security due to automation.
Peter Thiel highlights a transformation in societal perception regarding labor-saving technologies. Initially seen as beneficial and optimistic, these advancements are now accompanied by anxiety over their impact on employment. The questions posed reflect a growing concern that machines may ultimately replace human workers, leading to uncertainty about the future value of human labor.
In practice
In a discussion about job automation, this quote can highlight concerns about the future of work.
It's good to test yourself and develop your talents and ambitions as fully as you can and achieve greater success; but I think success is the feeling you get from a job well done, and the key thing is to do the work.
The first question we would ask if aliens landed on this planet is not, 'What does this mean for the economy or jobs?' It would be, 'Are they friendly or unfriendly?'
People working on bigger ideas on a more protracted timeline will be more on the stealth side. They aren’t releasing new PR announcements every day. The bigger the secret and the likelier it is that you alone have it, the more time you have to execute. There may be far more people going after hard secrets than we think.
What is it about our society where anyone who does not have Asperger's gets talked out of their heterodox ideas?
Every time you write an email, it is in the public domain. There are all these ways where security is not as good as people believe.
Creating value isn't enough - you also need to capture some of the value you create.
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.
There is people who make stuff with words. There is people who make stuff with programs. And I really believe that that whole creative culture, people didn't realize how creative programming is. And anybody who's done it of course knows that not only is it creative, but it's incredibly absorbing.
It is not necessary to conceal anything from a public insensible to contradiction and narcotized by technological diversions.
You can game the social media in the short run, but not for long.
People don't want lots and lots of single purpose devices. They do not want to have to learn how to set up something for photos, another thing for music, another thing for video.
The factory of the future will have only two employees, a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment.
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