AI News, The Road to Conscious Machines: The Story of AI (Pelican Books ... artificial intelligence
Robot-Proofing Your Career, Peter Thiel’s Way
But, as I argue in the book, very often, when we think about the loss of jobs, we are thinking of repetitive assembly-line jobs in a factory environment.
There have only been factories, centralized factories, for maybe three hundred years and the assembly line was actually invented by Henry Ford in the early 20th century.
But there are other kinds of work, in the skilled trades, for example, in which you have to develop a skill as a carpenter or a sculptor—machines aren’t doing that kind of stuff any time soon.
They are mental and physical jobs that are highly routine and repetitive that can be reduced to machine learning or to some kind of routine activity.
The kinds of jobs that are not going to go the way of the dodo bird are both manual and mental jobs that involve, as I have said a number of times, creativity—but also complex modeling, know-how, and movement.
One the other hand, if you spend time as an Uber driver, you should probably worry about the day when automated can take over for you because that’s already starting to happen.
My advice to people is to always be adaptable, always be thinking about the new skills you can develop so that when your particular way of working becomes obsolete, you will be able to pivot to do something else.
If, on the other hand, you just think that we are a machine made of meat that we’re the product of a bumbling, blind evolutionary process that eventually became conscious, then you will probably think that there is no reason we can’t design a machine that can do that.
So anyway, this whole debate about man and machine, about artificial intelligence comes out of a sort of metaphysical or theological question about: How do you understand the human person?
Linenschmidt: One of the quotes you pulled out in the book was from the Wall Street Journal is, “exponential feedback between technology and intelligence is humanity’s accelerator.” You wrote, “To miss this is to miss the key fact of our economy.
True people who used to need private physical can get it online but people who didn’t use to be able to afford physical trainers can get it effectively free online.
So rather than thinking of the technology as replacing us, think of it as sort of our extension in time and space, our entrepreneurial prostheses which extend ourselves and our creativity into different domains.
It is attributed in part to growing obesity worldwide—itself an outcome of higher-tech farming methods that produce abundant food cheaply.
On this week’s podcast, Jay Richards looks at the way new jobs have historically grown from the turmoil around the deaths of obsolete ones.
Despite the continued march of technological change in recent years, the American employment picture has been bright, though many remain dissatisfied with their current circumstances or prospects.
That remains the core challenge of Silicon Valley.” Here are some more pro tips from Jay Richards on AI-proofing your job: Students, don’t let smart machines disrupt your future Three ways you can avoid life in Mom’s basement and the job pouring coffee.
In its evolution since the 1950s, the AI field has experienced three periods of “boom” punctuated by two periods of “bust” (often called “AI winters”).
The third boom began in the early 1990s with the development of technologies called machine learning, which began producing significant, useful, and often surprising results—accompanied by large doses of hype about the future of AI.