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Only one thing I have ever heard of would work and that is universal salaries... every American gets 3grand a month and then any work you can find is extra...
originally posted by: MyHappyDogShiner
a reply to: Bone75
Just think?, if all or most of the work was done by mindless droning machines, how difficult it would be to regard anyone's jealously criticizing those who supposedly don't work hard enough for what they have.
A.I. could be the key to the evolution of the human race to a more just world and freer societies.
If we wanted a war we could just send robots to a hardened enclosure to nuke the piss outta each other...
...What reason would there be for even that type of war, if everything was done for us?...
originally posted by: marg6043
Well when people can not longer make money to buy into what companies wants them to buy and invest in, then they can have their robots boycott them for fair pay and Robots can start buying gadgets so companies can make money, hell robots can pay taxes too.
Who needs pesky, dirty, environmental hazards humans, we will become the bugs that needs to be fumigated to death
Boycott the darn companies.
originally posted by: greydaze
I know man,it's sad but true..I used to work as web press assistant,My job was to stack the bundles using switches,turn dials,strap machine,and vacuum lift to put them on a pallet etc.That was 11 yrs ago,from I heard My prev job has gone A.I
originally posted by: Plotus
Not to mention HACKING...... We could be brought to our knees in a moment.
originally posted by: LesterJust
a reply to: soficrow
There is no way AI can replace people at this stage
No way
It May Surprise You Which Countries Are Replacing Workers With Robots the Fastest
...Of the more than 229,000 industrial robots sold in 2014 (the most recent statistics available), more than 57,000 were sold to Chinese manufacturers, 29,300 to Japanese companies, 26,200 to companies in the U.S., 24,700 to South Koreans and more than 20,000 to German companies. By comparison, robot sales in India totaled just 2,100, IFR reported.
None of this should surprise us. Automation makes little or no economic sense in countries where there is comparatively little manufacturing or where abundant cheap labor is readily available. The basic economic trade-off between the cost of labor and the cost of automation is the primary consideration. Labor laws, cultural considerations, the availability of capital and the age and skill levels of local workers also are important factors.
Robots are now really stealing jobs as Japanese firm replaces staff with AI
...Previous reports have already forecast the impending AI-powered automation cycle, with experts speculating human workforce will lose roughly seven million jobs to robots in the next five years.
Robots, automation simplify building sites in Japan
Japan is running out of people to take care of the elderly, so it's making robots instead
...as countries witness a climbing number of seniors, the amount of caregivers remains stagnant.
This is particularly a problem in Japan, as a nearly 300-page Merrill Lynch report projects a shortage of 1 million caregivers by 2025 for the country.
To address the issue, Japanese companies are leading in the development of Carebots.
Carebots are robots specifically designed to assist elderly people, and it's an industry that's growing in a big way. One-third of the Japanese government's budget is allocated to developing carebots.
2016. Japanese firm to open world’s first robot-run farm
originally posted by: MOMof3
a reply to: marg6043
The only progress left is up. To the stars and only the rich can do that. That is whom the corp and investors will make money from, like incest, and death. Hey its a new world welcome all the kiddies to it.
sex will be happening more and more if you don't work. Bet on it!
originally posted by: Bone75
originally posted by: MyHappyDogShiner
a reply to: Bone75
I would love to be able to LOL right along with you, but it really isn't very funny at all.
The thing is, I think that deep down we all do agree... at least on what kind of world we want to live in and what we want for all of humanity... and we'll get there I promise.
But in the meantime, laugh while you still can because things are going to get alot worse before they get better.
originally posted by: dfnj2015
Since they've already outsourced all the labor to foreign workers on H1-B visas, what difference does it make if foreigners working here lose their jobs?
originally posted by: worldstarcountry
a reply to: soficrow
I still say AI does not have to tell you it feels sad or laugh at a joke to be true AI. I think there should be a distinction for the kind of programming that could legitimately pull that off.
AI refers to the concept of thoughts, adaptation, learning. Many people say it is not AI though until it is personified with emotions or its ability to explain its decisions. I would say that could be called synthetic life maybe??
Today's AI fits the definition of AI to me. It can learn and adapt. THAT is intelligence. To be able to feel though, that is a different leap altogether I believe. Maybe there is not a proper term for it yet, or one better than synthetic life.
But IMO, these things are legit AI.
Understanding the limits of deep learning
...deep learning is simply more powerful pattern recognition than previous statistical and machine learning methods. “The most important problem for AI today is abstraction and reasoning,” explains Chollet, an AI researcher at Google and famed inventor of widely used deep learning library Keras. “Current supervised perception and reinforcement learning algorithms require lots of data, are terrible at planning, and are only doing straightforward pattern recognition.”
By contrast, humans “learn from very few examples, can do very long-term planning, and are capable of forming abstract models of a situation and [manipulating] these models to achieve extreme generalization.”
Even simple human behaviors are laborious to teach to a deep learning algorithm. ...
...How can we overcome the limitations of deep learning and proceed toward general artificial intelligence? Chollet’s initial plan of attack involves using “super-human pattern recognition, like deep learning, to augment explicit search and formal systems,” starting with the field of mathematical proofs. Automated Theorem Provers (ATPs) typically use brute force search and quickly hit combinatorial explosions in practical use. In the DeepMath project, Chollet and his colleagues used deep learning to assist the proof search process, simulating a mathematician’s intuitions about what lemmas (a subsidiary or intermediate theorem in an argument or proof) might be relevant.
...Geoffrey Hinton, widely called the “father of deep learning” wants to replace neurons in neural networks with “capsules” that he believes more accurately reflect the cortical structure in the human mind. “Evolution must have found an efficient way to adapt features that are early in a sensory pathway so that they are more helpful to features that are several stages later in the pathway,” Hinton explains. He hopes that capsule-based neural network architectures will be more resistant to the adversarial attacks that Goodfellow illuminated above.
Perhaps all of these approaches to overcoming the limits of deep learning have truth value. Perhaps none of them do. Only time and continued investment in AI research will tell.