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originally posted by: strongfp
a reply to: Aazadan
It's only the beginning.
With the emergence of quantum computing and a drive for automation, the first job market to be hit the hardest won't be skilled factory workers, but people who code and work with computers.
no one believes me, but you'll see.
This whole idea that we need emotional intelligence and creative thinkers is a bunch of BS for people who are dreaming about there being an easy shortcut to a good paying job in the future.
If programming becomes automated (which isn't happening any time soon), every job will instantly become automated because you'll have automated the method of automation. In such a scenario thre won't be a single job available for you regardless of your skillset.
originally posted by: soficrow
fyi - I'm not some sort of lazy wannabe. I'm retired. But yeah, I do think about the future of our planet, and all my relations.
I also read, and educate myself beyond the parameters of my own discipline. Something I recommend for everyone.
The whole point is that people need to keep learning, maintain flexibility and be prepared to change professions every few years. Not expect to get their papers and be set for life.
It's unlike a lot of jobs where people just coast on a particular skill. Anything tech related requires constantly staying up to date.
originally posted by: strongfp
a reply to: Aazadan
QC's send data and signals without a physical attachment. How is that not making calculations fast?
And they don't measure in seconds they measure in a whole different field of physics. It's almost literally teleporting data from A to B with no resistance.
originally posted by: flatbush71
I'm really glad you Gentlemen and Ladies ( of course !!) bring up these threads.
I attended a briefing on something very similar and it was what I would call shocking.
Some of of the A.I. not only write their own code, but have learned from human interaction to not only deceive their human counter-parts ( by lying ) but to do the same to other AIs to obtain a advantage as well as superiority over competition.
Add this with quantum technology, where as they are able to not only outsmart humans but do it at a rate several thousand times faster that the humans trying to catch them doing it. They were also able to anticipate ( in advance with a high probability of success ) what methods would be used to catch / stop them and take counter measures for defensive and offensive actions at a phenomenal rate.
The rise of artificial intelligence is creating new variety in the chip market, and trouble for Intel
The success of Nvidia and its new computing chip signals rapid change in IT architecture
...Because Intel made the most powerful CPUs, it came to rule not only the market for PC processors (it has a market share of about 80%) but the one for servers, where it has an almost complete monopoly. In 2016 it had revenues of nearly $60bn.
This unipolar world is starting to crumble. Processors are no longer improving quickly enough to be able to handle, for instance, machine learning and other AI applications, which require huge amounts of data and hence consume more number-crunching power than entire data centres did just a few years ago. Intel’s customers, such as Google and Microsoft together with other operators of big data centres, are opting for more and more specialised processors from other companies and are designing their own to boot.
...Yes, AI has been in the "coding realm" for some time. It can be very good at optimizing existing code, but it is not yet very good at designing and coding a system from scratch when given only a problem set - even if you can tell it what the ultimate outcome should look like.
However, with that said, I believe that 2017 will be a watershed year for AI - at least in the public sector. And although really good/strong AI and quantum computing is a match made in heaven, I'm not sure how much of the advances made in the QC field will see the light of day. And that may hold back some of the announced advancements in AI for a while longer.
But, maybe not...
Ultimately, this algorithm can make programming accessible to non-coders, allowing anyone to easily build simple programs. Researcher Marc Brockschmidt, one of DeepCoder’s creators from Microsoft Research in Cambridge, UK, believes that their approach would make it possible for non-coders to just describe a program and leave the system to build it. “All of a sudden, people could be so much more productive,” Massachusetts Institute of Technology (MIT) associate professor Armando Solar-Lezama, who wasn’t part of the research, told New Scientist. “They could build systems that it [would be] impossible to build before.”
All in all it feeds back into my prediction that you'll likely see a lot of jobs use a small amount of programming in the future. A lot of it though comes down to math skills to build formulas and our work force is lacking that.