Feb 2019! robots are ALREADY Self-aware!! we just don't know it yet!! Scientists say they made a robot that learned to be self-aware!!

That makes it literally "self-aware". It does not mean that it has a soul or consciousness.

Yes, which makes these self aware Artificial General Intelligences all the more dangerous and untrustworthy.

so how much government GRANT money is going to be required from the tax payers now ???

They always have something to study, if you can speak shit and get people to belief you ... your sitting on a golden egg

exactly. "self-aware" means able to make its own observations and conclusions based on data. it does not need to mean consciousness, as we understand it, at all.

Last Edited by Digital mix guy Spock on 02/09/2019 08:25 PM

video!!

Jan 25, 2019
Columbia Engineering researchers have made a major advance in robotics by creating a robot that learns what it is, from scratch, with zero prior knowledge of physics, geometry, or motor dynamics. Once their robot creates a self-simulation, it can then use that self-model to adapt to different situations, to handle new tasks as well as detect and repair damage in its own body.





Last Edited by Digital mix guy Spock on 02/09/2019 10:06 PM

The self-modeling robot was also used for other tasks, such as writing text using a marker. To test whether the self-model could detect damage to itself, the researchers 3-D-printed a deformed part to simulate damage and the robot was able to detect the change and re-train its self-model. The new self-model enabled the robot to resume its pick-and-place tasks with little loss of performance.

An image of the intact robotic arm used to perform all of the tasks Credit: Robert Kwiatkowski/Columbia Engineering
Lipson, who is also a member of the Data Science Institute, notes that self-imaging is key to enabling robots to move away from the confinements of so-called "narrow-AI" towards more general abilities. "This is perhaps what a newborn child does in its crib, as it learns what it is," he says. "We conjecture that this advantage may have also been the evolutionary origin of self-awareness in humans. While our robot's ability to imagine itself is still crude compared to humans, we believe that this ability is on the path to machine self-awareness."

Lipson believes that robotics and AI may offer a fresh window into the age-old puzzle of consciousness. "Philosophers, psychologists, and cognitive scientists have been pondering the nature self-awareness for millennia, but have made relatively little progress," he observes. "We still cloak our lack of understanding with subjective terms like 'canvas of reality,' but robots now force us to translate these vague notions into concrete algorithms and mechanisms."

[link to techxplore.com (secure)]

Who are you calling a zombie? (Image: Vincent Fournier/Gallerystock)

IN A robotics lab on the eastern bank of the Hudson River, New York, three small humanoid robots have a conundrum to solve.

They are told that two of them have been given a “dumbing pill” that stops them talking. In reality the push of a button has silenced them, but none of them knows which one is still able to speak. That’s what they have to work out.


Unable to solve the problem, the robots all attempt to say “I don’t know”. But only one of them makes any noise. Hearing its own robotic voice, it understands that it cannot have been silenced. “Sorry, I know now! I was able to prove that I was not given a dumbing pill,” it says. It then writes a formal mathematical proof and saves it to its memory to prove it has understood.

This is the first time a robot has passed a classic test called the wise-men puzzle. It sounds like a simple test and it is, hardly scaling the foothills of consciousness. But showing that robots – in this case, off-the-shelf Nao models – can tackle logical puzzles requiring an element of self-awareness is an important step towards building machines that understand their place in the world.

Selmer Bringsjord of Rensselaer Polytechnic Institute in New York, who ran the test, says that by passing many tests of this kind – however narrow – robots will build up a repertoire of abilities that start to become useful. Instead of agonising over whether machines can ever be conscious like humans, he aims to demonstrate specific, limited examples of consciousness.

[link to www.newscientist.com (secure)]

Jan 10, 2019
#CES2019 AI GOES DEEP Things get strange - sometimes existential - when Hanson Robotics AI Sophia fields questions from the audience, a religious broadcaster, and CGTN’s Joshua Barlow - What do you think of her performance?

thanks for comments.


[link to www.youtube.com (secure)]

Last Edited by Digital mix guy Spock on 02/09/2019 10:23 PM

Yikes!!!

Oh bullshite!

Meh..

Back in the 70's, my father was designing machines and writing programs that did adaptive programming better than what these nitwits are doing.

It was for the government and the details are still classified to this day.

The government is far, far ahead in many things. Imagine what the government actually has in it's closet now.

A.I. will never be self aware.

It can only act like it is.

This is not consciousness, this is an algorithm that maps it's surroundings, to say it just "learns by thinking" is sensationalism pure and simple. It learns but processing code that allows it to maps it's context and then based on that context, make better decisions on how to proceed with it's instructions.

Don't get me wrong, this is an amazing piece of work but it's not consciousness/self awareness as we think of it.

autonomy EQUALS consciousness.


that is pretty much it.

Last Edited by Digital mix guy Spock on 02/12/2019 08:52 PM

Aug. 15, 2018, 4:49 PM EDT
By Maggie Fox
Robots can influence children, even when they are wrong, researchers reported Wednesday.

A pair of studies show that children respond strongly to robots, especially when they are small and cute. That can be good, the team at the University of Plymouth in Britain found. But it can also be troubling, because children were more likely than adults to give an incorrect answer to a puzzle if they saw robots giving wrong answers.



[link to www.nbcnews.com (secure)]

....surely humans wouldn't be so silly as to accidentally design an A.I. driven to turn all of civilization into one giant berry farm? Perhaps not, but as Janelle Shane, a researcher who trains neural networks, a type of machine learning algorithm, recently noted on her blog, A.I. Weirdness, it's entirely possibly they could do it by mistake.

In fact, it would be far from the first time that humans have thought they were building robots for one task only to turn around and find the robots were gaming the system in ways they never intended. The fascinating post digs into the academic literature to share several examples of robots gone wild. They are funny, clever, and, taken together, more than a little creepy.

1. Who needs legs when you can tumble?
"A simulated robot was supposed to evolve to travel as quickly as possible. But rather than evolve legs, it simply assembled itself into a tall tower, then fell over. Some of these robots even learned to turn their falling motion into a somersault, adding extra distance," writes Shane.

2. A robot that can can-can.
"Another set of simulated robots were supposed to evolve into a form that could jump. But the programmer had originally defined jumping height as the height of the tallest block so -- once again -- the robots evolved to be very tall," explains Shane. "The programmer tried to solve this by defining jumping height as the height of the block that was originally the 'lowest.' In response, the robot developed a long skinny leg that it could kick high into the air in a sort of robot can-can."

3. Hide the test and you can't fail it.
"There was an algorithm that was supposed to sort a list of numbers. Instead, it learned to delete the list, so that it was no longer technically unsorted," Shane relates.

4. Math errors beat jet fuel.
"In one simulation, robots learned that small rounding errors in the math that calculated forces meant that they got a tiny bit of extra energy with motion. They learned to twitch rapidly, generating lots of free energy that they could harness," says Shane. Hey, that's cheating!





[link to www.inc.com (secure)]

...In describing how his film came to fruition, Pozdorovkin recalls, “I went [to Germany] to investigate, to talk to the workers. Most of them were forbidden from talking about the accident. But a lot of them talked about the perils of automation, the way that their work environment was made worse as the result of robots. I’m using the tropes of science fiction and true crime to make a film that investigates some of the philosophical and economic problems that automation brings with it.”


The film distinguishes itself from other science documentaries thanks to its holistic approach: rather than speaking exclusively to the people behind the tech – CEOs, programmers, engineers – Pozdorovkin also interviewed members of the global labor pool – truck drivers, factory workers, gas station attendants, Swat team snipers – those whose lives and livelihoods have seen the most immediate effects of automation’s disruption.

[link to www.theguardian.com (secure)]

Nov 13, 2018
Engineers, factory workers, journalists, philosophers and Isaac Asimov (Asimov's Three Laws of Robotics) share cautionary tales of a world controlled by artificial intelligence. Directed by Maxim Pozdorovkin. Premieres Nov 26 at 10PM on HBO




Last Edited by Digital mix guy Spock on 03/12/2019 12:41 AM

transcript of TED talk:


What I want to tell you about today is how I see robots invading our lives at multiple levels, over multiple timescales. And when I look out in the future, I can't imagine a world, 500 years from now, where we don't have robots everywhere. Assuming -- despite all the dire predictions from many people about our future -- assuming we're still around, I can't imagine the world not being populated with robots. And then the question is, well, if they're going to be here in 500 years, are they going to be everywhere sooner than that? Are they going to be around in 50 years? Yeah, I think that's pretty likely -- there's going to be lots of robots everywhere. And in fact I think that's going to be a lot sooner than that. I think we're sort of on the cusp of robots becoming common, and I think we're sort of around 1978 or 1980 in personal computer years, where the first few robots are starting to appear.


00:49
Computers sort of came around through games and toys. And you know, the first computer most people had in the house may have been a computer to play Pong, a little microprocessor embedded, and then other games that came after that. And we're starting to see that same sort of thing with robots: LEGO Mindstorms, Furbies -- who here -- did anyone here have a Furby? Yeah, there's 38 million of them sold worldwide. They are pretty common. And they're a little tiny robot, a simple robot with some sensors, a little bit of processing actuation.

[link to www.ted.com (secure)]

Hod Lipson demonstrates a few of his cool little robots, which have the ability to learn, understand themselves and even self-replicate.

This talk was presented at an official TED conference, and was featured by our editors on the home page.


[link to www.ted.com (secure)]

QUOTE:
this machine doesn't know what it looks like. You look at it and you see it has four legs, the machine doesn't know if it's a snake, if it's a tree, it doesn't have any idea what it looks like, but it's going to try to find that out. Initially, it does some random motion, and then it tries to figure out what it might look like. And you're seeing a lot of things passing through its minds, a lot of self-models that try to explain the relationship between actuation and sensing. It then tries to do a second action that creates the most disagreement among predictions of these alternative models, like a scientist in a lab. Then it does that and tries to explain that, and prune out its self-models.


03:32
This is the last cycle, and you can see it's pretty much figured out what its self looks like. And once it has a self-model, it can use that to derive a pattern of locomotion. So what you're seeing here are a couple of machines -- a pattern of locomotion. We were hoping that it wass going to have a kind of evil, spidery walk, but instead it created this pretty lame way of moving forward.


03:55
But when you look at that, you have to remember that this machine did not do any physical trials on how to move forward, nor did it have a model of itself. It kind of figured out what it looks like, and how to move forward, and then actually tried that out. (Applause)

Last Edited by Digital mix guy Spock on 03/12/2019 12:44 AM

A robotics researcher afraid of robots, Peter Haas, invites us into his world of understand where the threats of robots and artificial intelligence lie. Before we get to Sci-Fi robot death machines, there's something right in front of us we need to confront - ourselves. Peter is the Associate Director of the Brown University Humanity Centered Robotics Initiative. He was the Co-Founder and COO of XactSense, a UAV manufacturer working on LIDAR mapping and autonomous navigation.

I'm really getting sick of these robots
Every time I see one it pisses me off
They tryin to take our jerbssssss