McDonald’s Is Days From Opening Restaurant Run Entirely By Robots

[mixedideaz]

new robots working in harmony at a speed of 50 times faster than the average human employee, with no chance of error, located in every store all over the country.

https://i.imgur.com/s2dkzRu.jpg

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[SebastianJu]

Japanese already have a restaurant run by robots. See: http://singularityhub.com/2009/08/03/the-robots-are-the-chefs-in-this-japanese-restaurant/

Im not sure if there are more but if you go about robots then you should check out japan first.

Im not sure if the authors didnt know since it isnt so much funny if there are already such places. Guess some of these magazines are funnier than others.

[Wilikon]

What happens if the customer wants extra sauce or doesn't want a certain ingredient? how does a robot determine which burger (example) is being made this customer?

Such that some people don't want salt with their fries, can the robot feed this into the mix and prepare one fries for the customer then salt the rest and then pack for the remaining customers?

These situations I would like to see a robot handle. if they can, then i believe mcdonald's can be run by robots and their human maintenance team. 

Have you ever ordered a pizza online? It will be the same thing but with no human hair in it...

[C10H15N]

There goes your McJob. 

Appropriate considering they stopped serving real food years ago.

[Wilikon]

There goes your McJob. 

Appropriate considering they stopped serving real food years ago.

Real food has eyes looking back at you. "Real fake food" is the future, even back in 1968...

[tidus1097]

The US Government will bail them out like they did JP Morgan and Ford. McDonalds is a American icon that will not fade. Their food is crap though. Let it die. But it won't :/

[bryant.coleman]

Why all these threads about McDonalds? Their profits are going down the toilet that they pull their burgers out of, they'll be out of business soon.

http://fortune.com/2015/04/22/mcdonalds-sales-decline/

In Russia (one of their most promising markets), they took a big hit by supporting the US-led sanctions. They closed down their outlets in Crimea, in an attempt to punish the Crimeans for voting to join Russia. This created a massive backlash, and their sales in other parts of Russia were nearly halved.

[Wilikon]

Damaged Robot Can 'Heal' Itself in Less Than 2 Minutes

Robots that are damaged in action can now quickly "heal" themselves by tapping into experiences from simulated lives, according to a new study. It may sound like science fiction, but these abilities could lead to more robust, effective and autonomous robots, researchers say.

In experiments, a six-legged robot could adapt in little more than a minute to keep walking even if two of its legs were damaged, broken or missing. A robotic arm could also learn to place an object in the correct place even with several broken motors or joints.

"One thing we were surprised by was the extent of damage to which the robots could quickly adapt to," study co-author Jean-Baptiste Mouret, a roboticist at Pierre and Marie Curie University, in Paris, told Live Science. "We subjected these robots to all sorts of abuse, and they always found a way to keep working."


Adaptable bots

Robots can survive extreme environments such as the deepest depths of the ocean or the harsh vacuum of outer space. However, a major obstacle that has kept robots from widespread adoption outside factories is their lack of adaptability — they typically cannot keep working if they become damaged.

In contrast, animals often can adapt rapidly from injuries. For instance, many three-legged dogs can catch Frisbees, and humans can often quickly figure out how to walk despite sprained ankles or other injuries.

"If we send in robots to find survivors after an earthquake, or to put our forest fires, or to shut down a nuclear plant in crisis like Fukushima, we need them to be able to keep working if they become damaged," Mouret said. "In such situations, every second counts, and robots are likely to become damaged because these environments are very unpredictable and hostile. Even in less extreme cases, such as in-home robot assistants that help the elderly or sick, we want robots to keep performing their important tasks even if some of their parts break."

Until now, robots typically recovered from damage by first diagnosing their problems and then choosing which contingency plan to follow. However, even if a robot possesses an expensive suite of sensors with which it can diagnose itself, it will be rendered helpless if its designer failed to foresee whatever problem the robot is facing.

In comparison, injured animals rely on trial and error to learn how to overcome adversity — for instance, learning that limping could minimize pain in the leg. Although scientists have experimented with trial-and-error programming for robots, it could take 15 minutes or more for such robots to overcome even relatively simple problems.

Now scientists have developed a trial-and-error program that enables robots to adapt to damage in less than two minutes, all without a suite of sensors to diagnose itself or a host of contingency plans.

"The most important application of these findings is to have robots that can be useful for long periods of time without requiring humans to perform constant maintenance," Mouret said.

Learning from experience

The scientists reasoned that animals do not learn how to recover from injuries from scratch. "Instead, they have intuitions about different ways to behave," Mouret said in a statement. "These intuitions allow them to intelligently select a few, different behaviors to try out and, after these tests, they choose one that works in spite of the injury. We made robots that can do the same."

In this new strategy, before a robot is deployed, the scientists develop a computer simulation to map out thousands of different motions it can take, and predict which patterns of actions are likely to work despite damage. This simulated lifetime of experiences serves as the collection of intuitions the robot can draw from. [The 6 Strangest Robots Ever Created]

"We do not pre-compute anything like 'find a gait that works if a leg is missing,'" Mouret said. "What we do with the simulator is simply to say 'find as many different ways to walk as you can.'"

When the robot faces a real injury, it can draw on these intuitions to guide trial-and error experiments intended to find a way to compensate for any damage.

"Once damaged, the robot becomes like a scientist," study lead author Antoine Cully, a roboticist at Pierre and Marie Curie University, said in a statement. "It has prior expectations about different behaviors that might work, and begins testing them. However, these predictions come from the simulated, undamaged robot. It has to find out which of them work, not only in reality, but given the damage."

The robot can effectively experiment with different behaviors and rule out ones that don't work, Cully said.

"For example, if walking, mostly on its hind legs, does not work well, it will try walking mostly on its front legs," he added. "What's surprising is how quickly it can learn a new way to walk. It's amazing to watch a robot go from crippled and flailing around to efficiently limping away in about two minutes."

Real-world uses

The researchers suggest this strategy could help robots adapt to unforeseen circumstances and new environments. "Our approach can work with any robot," Mouret said.

Some potential applications include "robots that can help rescuers without requiring their continuous attention," study co-author Danesh Tarapore, a roboticist at Pierre and Marie Curie University, said in a statement. "It also makes easier the creation of personal robotic assistants that can continue to be helpful even when a part is broken."

Although simulating a lifetime of potential robot experiences may seem expensive, "our approach is actually very cost-effective, because it does not require complex internal sensors," Mouret said. "The robot only needs to know how well it performs its task. It does not need to know the precise reason why it cannot perform the task as expected. That allows tremendous cost savings, because a robot does not need to have a suite of expensive self-diagnosing sensors woven throughout its body."

The researchers suggest their strategy for robots has implications far beyond damage recovery.

"They could in principle be applied to having robots learn almost anything," Mouret said. "Until now, nearly all approaches for having robots learn took many hours, which is why videos of robots doing anything are often extremely sped up. Watching them learn in real-time was excruciating, much like watching grass grow. Now we can see robots learning in real-time, much like you would watch a dog or child learn a new skill. Thus, for the first time, we have robots that learn something useful after trying a few different things, just like animals and humans."

The scientists now plan to test their strategy on more advanced robots in simulated real-world situations. The researchers are interested in investigating how these abilities could help robots designed for disaster-relief purposes, Mouret said, such as the bots that are scheduled to compete in the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge, being held next month in Pomona, California.

The scientists detailed their findings in the May 28 issue of the journal Nature.


http://www.livescience.com/50988-damaged-robot-heals-itself.html

[dominicg]

Phoenix, AZ — After seeing a decline in earnings for the first time in nine years, McDonald’s plans to do something no other store of its kind has ever done before; open a store run entirely by robots.

The store is set to open July 4th in Phoenix, Arizona once the state-of-the-art robot remodel is complete. The restaurant will still employee a small team to insure all of the robots are working correctly, the food along with the cleaning supplies remaining stocked and removing the money collected by the robots. If the test launch for the store is a success, visitors to the restaurant can soon expect to see these new robots working in harmony at a speed of 50 times faster than the average human employee, with no chance of error, located in every store all over the country.

The store’s new manager, Jay Funkhouser, told CNN that he has worked with the machines in a product development facility in San Francisco for over six months now and speaks highly of the robots.

“These things are great! They get their work done in a fast and orderly manner. And they don’t ask for cigarette breaks.”



http://newsexaminer.net/food/mcdonalds-to-open-restaurant-run-by-robots/




---------------------------------------------------
They can't pee in your lemonade either...

Sounds like the beginning of a sci-fi-human-extinction-thriller, but not so much fun this time around.
No but seriously, I highly doubt the feasibility of such a project, especially in this time. 5 years down the road, maybe.
Too soon

[Falconer]

Damaged Robot Can 'Heal' Itself in Less Than 2 Minutes

Robots that are damaged in action can now quickly "heal" themselves by tapping into experiences from simulated lives, according to a new study. It may sound like science fiction, but these abilities could lead to more robust, effective and autonomous robots, researchers say.

In experiments, a six-legged robot could adapt in little more than a minute to keep walking even if two of its legs were damaged, broken or missing. A robotic arm could also learn to place an object in the correct place even with several broken motors or joints.

"One thing we were surprised by was the extent of damage to which the robots could quickly adapt to," study co-author Jean-Baptiste Mouret, a roboticist at Pierre and Marie Curie University, in Paris, told Live Science. "We subjected these robots to all sorts of abuse, and they always found a way to keep working."


Adaptable bots

Robots can survive extreme environments such as the deepest depths of the ocean or the harsh vacuum of outer space. However, a major obstacle that has kept robots from widespread adoption outside factories is their lack of adaptability — they typically cannot keep working if they become damaged.

In contrast, animals often can adapt rapidly from injuries. For instance, many three-legged dogs can catch Frisbees, and humans can often quickly figure out how to walk despite sprained ankles or other injuries.

"If we send in robots to find survivors after an earthquake, or to put our forest fires, or to shut down a nuclear plant in crisis like Fukushima, we need them to be able to keep working if they become damaged," Mouret said. "In such situations, every second counts, and robots are likely to become damaged because these environments are very unpredictable and hostile. Even in less extreme cases, such as in-home robot assistants that help the elderly or sick, we want robots to keep performing their important tasks even if some of their parts break."

Until now, robots typically recovered from damage by first diagnosing their problems and then choosing which contingency plan to follow. However, even if a robot possesses an expensive suite of sensors with which it can diagnose itself, it will be rendered helpless if its designer failed to foresee whatever problem the robot is facing.

In comparison, injured animals rely on trial and error to learn how to overcome adversity — for instance, learning that limping could minimize pain in the leg. Although scientists have experimented with trial-and-error programming for robots, it could take 15 minutes or more for such robots to overcome even relatively simple problems.

Now scientists have developed a trial-and-error program that enables robots to adapt to damage in less than two minutes, all without a suite of sensors to diagnose itself or a host of contingency plans.

"The most important application of these findings is to have robots that can be useful for long periods of time without requiring humans to perform constant maintenance," Mouret said.

Learning from experience

The scientists reasoned that animals do not learn how to recover from injuries from scratch. "Instead, they have intuitions about different ways to behave," Mouret said in a statement. "These intuitions allow them to intelligently select a few, different behaviors to try out and, after these tests, they choose one that works in spite of the injury. We made robots that can do the same."

In this new strategy, before a robot is deployed, the scientists develop a computer simulation to map out thousands of different motions it can take, and predict which patterns of actions are likely to work despite damage. This simulated lifetime of experiences serves as the collection of intuitions the robot can draw from. [The 6 Strangest Robots Ever Created]

"We do not pre-compute anything like 'find a gait that works if a leg is missing,'" Mouret said. "What we do with the simulator is simply to say 'find as many different ways to walk as you can.'"

When the robot faces a real injury, it can draw on these intuitions to guide trial-and error experiments intended to find a way to compensate for any damage.

"Once damaged, the robot becomes like a scientist," study lead author Antoine Cully, a roboticist at Pierre and Marie Curie University, said in a statement. "It has prior expectations about different behaviors that might work, and begins testing them. However, these predictions come from the simulated, undamaged robot. It has to find out which of them work, not only in reality, but given the damage."

The robot can effectively experiment with different behaviors and rule out ones that don't work, Cully said.

"For example, if walking, mostly on its hind legs, does not work well, it will try walking mostly on its front legs," he added. "What's surprising is how quickly it can learn a new way to walk. It's amazing to watch a robot go from crippled and flailing around to efficiently limping away in about two minutes."

Real-world uses

The researchers suggest this strategy could help robots adapt to unforeseen circumstances and new environments. "Our approach can work with any robot," Mouret said.

Some potential applications include "robots that can help rescuers without requiring their continuous attention," study co-author Danesh Tarapore, a roboticist at Pierre and Marie Curie University, said in a statement. "It also makes easier the creation of personal robotic assistants that can continue to be helpful even when a part is broken."

Although simulating a lifetime of potential robot experiences may seem expensive, "our approach is actually very cost-effective, because it does not require complex internal sensors," Mouret said. "The robot only needs to know how well it performs its task. It does not need to know the precise reason why it cannot perform the task as expected. That allows tremendous cost savings, because a robot does not need to have a suite of expensive self-diagnosing sensors woven throughout its body."

The researchers suggest their strategy for robots has implications far beyond damage recovery.

"They could in principle be applied to having robots learn almost anything," Mouret said. "Until now, nearly all approaches for having robots learn took many hours, which is why videos of robots doing anything are often extremely sped up. Watching them learn in real-time was excruciating, much like watching grass grow. Now we can see robots learning in real-time, much like you would watch a dog or child learn a new skill. Thus, for the first time, we have robots that learn something useful after trying a few different things, just like animals and humans."

The scientists now plan to test their strategy on more advanced robots in simulated real-world situations. The researchers are interested in investigating how these abilities could help robots designed for disaster-relief purposes, Mouret said, such as the bots that are scheduled to compete in the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge, being held next month in Pomona, California.

The scientists detailed their findings in the May 28 issue of the journal Nature.


http://www.livescience.com/50988-damaged-robot-heals-itself.html

wow maybe in future humans just eat, sleep, and have fun with others
just buy a robot that can handle all of our work, and leave it
if your robot is "injured", it can heal itself
what a future

[Wilikon]

Damaged Robot Can 'Heal' Itself in Less Than 2 Minutes

Robots that are damaged in action can now quickly "heal" themselves by tapping into experiences from simulated lives, according to a new study. It may sound like science fiction, but these abilities could lead to more robust, effective and autonomous robots, researchers say.

In experiments, a six-legged robot could adapt in little more than a minute to keep walking even if two of its legs were damaged, broken or missing. A robotic arm could also learn to place an object in the correct place even with several broken motors or joints.

"One thing we were surprised by was the extent of damage to which the robots could quickly adapt to," study co-author Jean-Baptiste Mouret, a roboticist at Pierre and Marie Curie University, in Paris, told Live Science. "We subjected these robots to all sorts of abuse, and they always found a way to keep working."


Adaptable bots

Robots can survive extreme environments such as the deepest depths of the ocean or the harsh vacuum of outer space. However, a major obstacle that has kept robots from widespread adoption outside factories is their lack of adaptability — they typically cannot keep working if they become damaged.

In contrast, animals often can adapt rapidly from injuries. For instance, many three-legged dogs can catch Frisbees, and humans can often quickly figure out how to walk despite sprained ankles or other injuries.

"If we send in robots to find survivors after an earthquake, or to put our forest fires, or to shut down a nuclear plant in crisis like Fukushima, we need them to be able to keep working if they become damaged," Mouret said. "In such situations, every second counts, and robots are likely to become damaged because these environments are very unpredictable and hostile. Even in less extreme cases, such as in-home robot assistants that help the elderly or sick, we want robots to keep performing their important tasks even if some of their parts break."

Until now, robots typically recovered from damage by first diagnosing their problems and then choosing which contingency plan to follow. However, even if a robot possesses an expensive suite of sensors with which it can diagnose itself, it will be rendered helpless if its designer failed to foresee whatever problem the robot is facing.

In comparison, injured animals rely on trial and error to learn how to overcome adversity — for instance, learning that limping could minimize pain in the leg. Although scientists have experimented with trial-and-error programming for robots, it could take 15 minutes or more for such robots to overcome even relatively simple problems.

Now scientists have developed a trial-and-error program that enables robots to adapt to damage in less than two minutes, all without a suite of sensors to diagnose itself or a host of contingency plans.

"The most important application of these findings is to have robots that can be useful for long periods of time without requiring humans to perform constant maintenance," Mouret said.

Learning from experience

The scientists reasoned that animals do not learn how to recover from injuries from scratch. "Instead, they have intuitions about different ways to behave," Mouret said in a statement. "These intuitions allow them to intelligently select a few, different behaviors to try out and, after these tests, they choose one that works in spite of the injury. We made robots that can do the same."

In this new strategy, before a robot is deployed, the scientists develop a computer simulation to map out thousands of different motions it can take, and predict which patterns of actions are likely to work despite damage. This simulated lifetime of experiences serves as the collection of intuitions the robot can draw from. [The 6 Strangest Robots Ever Created]

"We do not pre-compute anything like 'find a gait that works if a leg is missing,'" Mouret said. "What we do with the simulator is simply to say 'find as many different ways to walk as you can.'"

When the robot faces a real injury, it can draw on these intuitions to guide trial-and error experiments intended to find a way to compensate for any damage.

"Once damaged, the robot becomes like a scientist," study lead author Antoine Cully, a roboticist at Pierre and Marie Curie University, said in a statement. "It has prior expectations about different behaviors that might work, and begins testing them. However, these predictions come from the simulated, undamaged robot. It has to find out which of them work, not only in reality, but given the damage."

The robot can effectively experiment with different behaviors and rule out ones that don't work, Cully said.

"For example, if walking, mostly on its hind legs, does not work well, it will try walking mostly on its front legs," he added. "What's surprising is how quickly it can learn a new way to walk. It's amazing to watch a robot go from crippled and flailing around to efficiently limping away in about two minutes."

Real-world uses

The researchers suggest this strategy could help robots adapt to unforeseen circumstances and new environments. "Our approach can work with any robot," Mouret said.

Some potential applications include "robots that can help rescuers without requiring their continuous attention," study co-author Danesh Tarapore, a roboticist at Pierre and Marie Curie University, said in a statement. "It also makes easier the creation of personal robotic assistants that can continue to be helpful even when a part is broken."

Although simulating a lifetime of potential robot experiences may seem expensive, "our approach is actually very cost-effective, because it does not require complex internal sensors," Mouret said. "The robot only needs to know how well it performs its task. It does not need to know the precise reason why it cannot perform the task as expected. That allows tremendous cost savings, because a robot does not need to have a suite of expensive self-diagnosing sensors woven throughout its body."

The researchers suggest their strategy for robots has implications far beyond damage recovery.

"They could in principle be applied to having robots learn almost anything," Mouret said. "Until now, nearly all approaches for having robots learn took many hours, which is why videos of robots doing anything are often extremely sped up. Watching them learn in real-time was excruciating, much like watching grass grow. Now we can see robots learning in real-time, much like you would watch a dog or child learn a new skill. Thus, for the first time, we have robots that learn something useful after trying a few different things, just like animals and humans."

The scientists now plan to test their strategy on more advanced robots in simulated real-world situations. The researchers are interested in investigating how these abilities could help robots designed for disaster-relief purposes, Mouret said, such as the bots that are scheduled to compete in the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge, being held next month in Pomona, California.

The scientists detailed their findings in the May 28 issue of the journal Nature.


http://www.livescience.com/50988-damaged-robot-heals-itself.html

wow maybe in future humans just eat, sleep, and have fun with others
just buy a robot that can handle all of our work, and leave it
if your robot is "injured", it can heal itself
what a future

Yep...

[SebastianJu]

wow maybe in future humans just eat, sleep, and have fun with others
just buy a robot that can handle all of our work, and leave it
if your robot is "injured", it can heal itself
what a future

Yep...

*lol* Right... and posted by a robot.

But i doubt it will work to buy a robot that works for you. If you can buy that robot then companies could buy masses of them for a way cheaper price. They could then do the work your robot could do for you and you couldnt earn money with your robot. The only way to earn money then would be to make the work that robots cant do.

Though one shouldnt fear automatisation. History of mankind shows that automation happened all the time and always people found new jobs that didnt exist before.

Though one might think about a community or a government where robots do the work like creating food and so on. So that the citizens could live from that. Of course that means we would need to win the citizens, organized in the form of a community or even a state. And not the companies. Nearly all science fiction movies predict that fight. Who will win, the companies or the people? Thats the question. And when you see the current activities of companies with free trade agreements, and their complacent political friends, then you practically can see this fight going on.

If someone doesnt know... these agreements contain rules so that companies can sue countries if they think those countries have rules that lower their profits. These courts are no normal courts, they are so expensive that its easier to give in to the companies. It sounds like a very big hit if these things get normal more and more. Because governments had to follow the rules. Either pay high fines or do what the companies want.

[bitbunnny]

don't want to be served by robot, this is so unhuman

[cryptocoiner]

Phoenix, AZ — After seeing a decline in earnings for the first time in nine years, McDonald’s plans to do something no other store of its kind has ever done before; open a store run entirely by robots.

The store is set to open July 4th in Phoenix, Arizona once the state-of-the-art robot remodel is complete. The restaurant will still employee a small team to insure all of the robots are working correctly, the food along with the cleaning supplies remaining stocked and removing the money collected by the robots. If the test launch for the store is a success, visitors to the restaurant can soon expect to see these new robots working in harmony at a speed of 50 times faster than the average human employee, with no chance of error, located in every store all over the country.

The store’s new manager, Jay Funkhouser, told CNN that he has worked with the machines in a product development facility in San Francisco for over six months now and speaks highly of the robots.

“These things are great! They get their work done in a fast and orderly manner. And they don’t ask for cigarette breaks.”



http://newsexaminer.net/food/mcdonalds-to-open-restaurant-run-by-robots/


---------------------------------------------------
They can't pee in your lemonade either...

Robot restaurant? LOL, I would be eating there every day. I hope price there will be lower then in regular fast food restourant. But i think they will need a small crew to get all working.

[Falconer]

*lol* Right... and posted by a robot.

But i doubt it will work to buy a robot that works for you. If you can buy that robot then companies could buy masses of them for a way cheaper price. They could then do the work your robot could do for you and you couldnt earn money with your robot. The only way to earn money then would be to make the work that robots cant do.

Yeah but the companies need expensive investment if they want a bunch of robots with the most sophisticated technology. And maybe the robot couldn't clean itself so you need to do that. Or the company will buy new robots if the old robot is old fashioned. So, the company still earn money with their robots.

[andulolika]

Great, shitfood now sold by robots, even better for unemployment.

[SebastianJu]

*lol* Right... and posted by a robot.

But i doubt it will work to buy a robot that works for you. If you can buy that robot then companies could buy masses of them for a way cheaper price. They could then do the work your robot could do for you and you couldnt earn money with your robot. The only way to earn money then would be to make the work that robots cant do.

Yeah but the companies need expensive investment if they want a bunch of robots with the most sophisticated technology. And maybe the robot couldn't clean itself so you need to do that. Or the company will buy new robots if the old robot is old fashioned. So, the company still earn money with their robots.

I guess it will be similar to asic miner development companies. They can mine themselve, or make a quick buck by selling the miners. Cloud roboting might be the next step. 

But youre right, there will always be jobs that only humans can do.

[Wilikon]

*lol* Right... and posted by a robot.

But i doubt it will work to buy a robot that works for you. If you can buy that robot then companies could buy masses of them for a way cheaper price. They could then do the work your robot could do for you and you couldnt earn money with your robot. The only way to earn money then would be to make the work that robots cant do.

Yeah but the companies need expensive investment if they want a bunch of robots with the most sophisticated technology. And maybe the robot couldn't clean itself so you need to do that. Or the company will buy new robots if the old robot is old fashioned. So, the company still earn money with their robots.

I guess it will be similar to asic miner development companies. They can mine themselve, or make a quick buck by selling the miners. Cloud roboting might be the next step. 

But youre right, there will always be jobs that only humans can do.

Cloud roboting + asic mining = proof of work at Mc Donalds = free burgers for bitcoin owners...

[SebastianJu]

*lol* Right... and posted by a robot.

But i doubt it will work to buy a robot that works for you. If you can buy that robot then companies could buy masses of them for a way cheaper price. They could then do the work your robot could do for you and you couldnt earn money with your robot. The only way to earn money then would be to make the work that robots cant do.

Yeah but the companies need expensive investment if they want a bunch of robots with the most sophisticated technology. And maybe the robot couldn't clean itself so you need to do that. Or the company will buy new robots if the old robot is old fashioned. So, the company still earn money with their robots.

I guess it will be similar to asic miner development companies. They can mine themselve, or make a quick buck by selling the miners. Cloud roboting might be the next step. 

But youre right, there will always be jobs that only humans can do.

Cloud roboting + asic mining = proof of work at Mc Donalds = free burgers for bitcoin owners...

Again bitcoiners are ahead of time and predict the future. Now to think about how to exploit that. 

[Wilikon]

*lol* Right... and posted by a robot.

But i doubt it will work to buy a robot that works for you. If you can buy that robot then companies could buy masses of them for a way cheaper price. They could then do the work your robot could do for you and you couldnt earn money with your robot. The only way to earn money then would be to make the work that robots cant do.

Yeah but the companies need expensive investment if they want a bunch of robots with the most sophisticated technology. And maybe the robot couldn't clean itself so you need to do that. Or the company will buy new robots if the old robot is old fashioned. So, the company still earn money with their robots.

I guess it will be similar to asic miner development companies. They can mine themselve, or make a quick buck by selling the miners. Cloud roboting might be the next step. 

But youre right, there will always be jobs that only humans can do.

Cloud roboting + asic mining = proof of work at Mc Donalds = free burgers for bitcoin owners...

Again bitcoiners are ahead of time and predict the future. Now to think about how to exploit that. 

The future is upon us. We demand free burgers from our hard working robots slaved to our blockchain...