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First, it's not exactly the same. It's just basic common sense. Have you read some of the latest research in this area? How do you think humans shared information before the internet? It's simply giving machines a cloud mind so they can learn from each other and it will also add a level of uncertainty.
Again, humans have been doing this with collective consciousness through things like the printing press or just verbally passing down information through tradition. Again this is something simple and basic and I suspect your problem is with the term collective consciousness.
You're actually agreeing to what I'm saying, it's just you want to say it's robots sharing the internet but what do you think the internet is? It's collective consciousness sharing information. Why do you think so many researchers in A.I. love the internet? It's because there's a wealth of information being shared that A.I. can learn from. Like I said, humans have been doing this way before the internet came along.
This makes no sense. If someone has created an intelligent algorithm that simulates intelligence, why isn't it the same as having intelligence? If it's simulating intelligence, what is it doing?
It's learning and creating new information from the information it processes. This is machine intelligence. Why doesn't a machine learn when it's programmed to? Have you ever seen or heard of a neural network?
Like I said, I call this the Haley Joel Osment misconception. You think computers need to evolve intelligence in the same way that humans have evolved intelligence. Newsflash, we will be the programmers of Artificial Intelligence, just like we're the programmers of Artificial Flavors.
All I can say is, you have to research these things instead of looking at them from a Haley Joel Osment perspective.
artificial intelligence |ˌɑrdəˈfɪʃəl ɪnˈtɛləʤəns| (abbr.: AI)
noun
the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
I really don't understand your point. Why do people think A.I. will be less intelligent because someone created an intelligent algorithm? Where do you think A.I. will come from if it's not initially PROGRAMMED by PROGRAMMERS?????
No. In this model, they are part of the internet. Why would each and every robot need to learn everything from the ground up?
The point at which they're told to memorize a list of 5,000 words, and they ask, "What the hell am I doing this for, again?"
We already have machines that are a part of the internet. These machines interact with each other, share information, scan data etc. So far, no AI has come of this "model".
As you’d expect, not all knowledge robots can learn is easily exchangeable in a joint knowledge repository. Raw trajectory data or sensor and actuator parameters are often too hardware specific to be exchanged successfully. However, a fair amount of knowledge robots learn can be exchanged: For example, maps, CAD models of objects, and articulation models of doors and drawers have been successfully learnt and shared between different robots. A particularly interesting area for learning are links between shared information, such as where is the fridge (map coordinates), what does it look like (object recognition model) and how do I open it (object articulation model). Another are probabilities, such as given that I see a table, bed, and chair, where would I most likely find a pillow? Robots are well-suited for this type of learning not least because, unlike humans, they are capable of rapid, systematic, and accurate data collection. This capability provides unprecedented opportunities for obtaining consistent and comparable data sets as well as for performing large-scale systematic analysis and data mining.
Exactly. Compiling symbols at a faster rate is not any sign of intelligence. Until it can take those symbols, understand them, and create something new out of them, there is no intelligence apparent.
By applying a learning algorithm to parsed text, we have developed methods that can automatically identify the concepts in the text and the relations between them. For example, reading the phrase "heavy water rich in the doubly heavy hydrogen atom called deuterium", our algorithm learns (and adds to its semantic network) the fact that deuterium is a type of atom (Snow et al., 2005).
originally posted by: LesMisanthrope
No one can create an “intelligent algorithm”.
I also believe that in order for there to be real intelligence -- or at least intelligence that is a rough equivalent of animal or human intelligence -- a machine needs a body with which to interact with reality
I’m sorry but the internet is the internet, and collective consciousness is a different concept entirely. Basic common sense. Simply giving machines a “cloud mind” isn’t going to accomplish anything if machines aren’t already intelligent enough to use it. So no I’m not agreeing with what you’re saying.
Ken Goldberg has been thinking hard about robots for almost three decades.
His work ranges from over 170 peer-reviewed papers on things like robot algorithms and social information filtering to art projects about the interaction of people and machines. A professor at the University of California, Berkeley, he is establishing a research center to develop medical robots to assist in surgery. That is just the latest development in what he thinks will be one of the great technology breakthroughs of our age: the fusing of robotics and cloud computing. He talks about it in this edited and condensed conversation.
Q.
What is cloud robotics?
A.
Cloud robotics is a new way of thinking about robots. For a long time, we thought that robots were off by themselves, with their own processing power. When we connect them to the cloud, the learning from one robot can be processed remotely and mixed with information from other robots.
Q.
Why is that a big deal?
A.
Robot learning is going to be greatly accelerated. Putting it a little simply, one robot can spend 10,000 hours learning something, or 10,000 robots can spend one hour learning the same thing.
The computer is currently being developed by the London-based DeepMind Technologies, an artificial intelligence firm that was acquired by Google earlier this year. Neural networks — which will enable the computer to invent programs for situations it has not seen before — will make up half of the computer’s architecture. Experts at the firm hope this will equip the machine with the means to create like a human, but still with the number-crunching power of a computer, New Scientist reports.
In two different tests, the NTM was asked to 1) learn to copy blocks of binary data and 2) learn to remember and sort lists of data. The results were compared with a more basic neural network, and it was found that the computer learned faster and produced longer blocks of data with fewer errors. Additionally, the computer’s methods were found to be very similar to the code a human programmer would’ve written to make the computer complete such a task.
You think machines do not need to evolve intelligence the same way that humans do, yet you say they need to create and share ideas and share it on a “cloud mind”…just like humans do.
The Three Breakthroughs That Have Finally Unleashed AI on the World
A few months ago I made the trek to the sylvan campus of the IBM research labs in Yorktown Heights, New York, to catch an early glimpse of the fast-arriving, long-overdue future of artificial intelligence. This was the home of Watson, the electronic genius that conquered Jeopardy! in 2011. The original Watson is still here—it's about the size of a bedroom, with 10 upright, refrigerator-shaped machines forming the four walls. The tiny interior cavity gives technicians access to the jumble of wires and cables on the machines' backs. It is surprisingly warm inside, as if the cluster were alive.
Today's Watson is very different. It no longer exists solely within a wall of cabinets but is spread across a cloud of open-standard servers that run several hundred “instances” of the AI at once. Like all things cloudy, Watson is served to simultaneous customers anywhere in the world, who can access it using their phones, their desktops, or their own data servers. This kind of AI can be scaled up or down on demand. Because AI improves as people use it, Watson is always getting smarter; anything it learns in one instance can be immediately transferred to the others. And instead of one single program, it's an aggregation of diverse software engines—its logic-deduction engine and its language-parsing engine might operate on different code, on different chips, in different locations—all cleverly integrated into a unified stream of intelligence.
PROGRAMMERS!!
It's just crazy to think that because artificial intelligence is programmed then it's not intelligent. Who do you think has been doing research and writing code in the areas of robotics and Artificial Intelligence???
PROGRAMMERS!!
originally posted by: ZetaRediculian
ria?
By applying a learning algorithm to parsed text, we have developed methods that can automatically identify the concepts in the text and the relations between them. For example, reading the phrase "heavy water rich in the doubly heavy hydrogen atom called deuterium", our algorithm learns (and adds to its semantic network) the fact that deuterium is a type of atom (Snow et al., 2005).
ai.stanford.edu...
There's still a very large gap between this and a general AI, like the difference between a powered nail driver and an architect.
Operational definitions of AGI[edit]
Scientists have varying ideas of what kinds of tests a superintelligent machine needs to pass in order to be considered an operation definition of artificial general intelligence. A few of these scientists include the late Alan Turing, Ben Goertzel, and Nils Nilsson. A few of the tests they have proposed are:
1. The Turing Test (Turing)
See Turing Test.
2. The Coffee Test (Goertzel)
A machine is given the task of going into an average American home and figuring out how to make coffee. It has to find the coffee machine, find the coffee, add water, find a mug, and brew the coffee by pushing the proper buttons.
3. The Robot College Student Test (Goertzel)
A machine is given the task of enrolling in a university, taking and passing the same classes that humans would, and obtaining a degree.
4. The Employment Test (Nilsson)
A machine is given the task of working an economically important job, and must perform as well or better than the level that humans perform at in the same job.
These are a few of tests that cover the a variety of qualities that machine needs to have to be considered AGI, including the ability to reason and learn, as well as being conscious and self-aware.[12]
The trouble here is, you're have a pseudoskeptics knee jerk reaction to the term collective consciousness.
So, it means nothing to you but that's meaningless. It means something to a researcher in this area with over 170 peer reviewed papers.
Simply put, a collective conscious is just humans sharing information and then creating new things with the information being shared. This will also give robots a level of uncertainty. It will allow them to learn and share information as they interact with the environment.
Like I said, this is basic common sense but I suspect you're just having a natural pseudoskeptic knee jerk reaction when you saw collective consciousness. All I can say is, you need to take a deep breath and actually read the research in areas like cloud robotics.
Again, you have to actually start to read research. For some reason you keep saying if A.I. is programmed then it's not intelligent. That makes zero sense. Of course the initial programs will come from PROGRAMMERS. Here's an example from a Wired article titled.
This one line shows you haven't studied these things and it's just hyperbole. Anyone who lightly followed neural networks would know this statement is vacuous.
Again:
The results were compared with a more basic neural network, and it was found that the computer learned faster and produced longer blocks of data with fewer errors.
How do you think the computer learned faster???
For some reason you keep saying if A.I. is programmed then it's not intelligent.
Yep, NEWSFLASH, ARTIFICIAL INTELLIGENCE NEEDS PROGRAMMERS.
This is just an asinine line of reasoning. It makes zero sense. Who do you think is working on cloud robotics??
Exactly. Compiling symbols at a faster rate is not any sign of intelligence. Until it can take those symbols, understand them, and create something new out of them, there is no intelligence apparent.
Do you think it's just going to assemble out of nowhere for no reason???
Do you think Watson knows what a banana tastes like? Does he have any knowledge or experience of what those dishes he “creates” taste like? How they smell? Their texture? Watson knows absolutely nothing about cooking. All he understands is how to follow the algorithm and manipulate symbols accordingly, none of which he has any clue what it means or what he's doing. That is not intelligent.
wisdom / intelligence
..now where?
we reckon we'd like to have like, some kinda AI-interactive device that we could talk to & teach stuff
we want to see how messed up we can get it
and we want to visit our friends AI-things to see how messed up theirs are
originally posted by: LesMisanthrope
a reply to: Blue Shift
I completely agree. Such a robot is already in the works.
eccerobot
The embodied hypothesis of cognition is already shaking up research in almost every field of the human sciences, including AI.
originally posted by: neoholographic
That just seems like a blind knee jerk reaction especially when this space is advancing so rapidly.