当我们创造机器人的时候，机器人怎么可能比人类聪明呢？
正文翻译
How is it possible for robots to outsmart humans when we created them?
当我们创造机器人的时候，机器人怎么可能比人类聪明呢？
原创翻译：龙腾网 http://www.ltaaa.cn 转载请注明出处
How is it possible for robots to outsmart humans when we created them?
当我们创造机器人的时候，机器人怎么可能比人类聪明呢？
原创翻译：龙腾网 http://www.ltaaa.cn 转载请注明出处
评论翻译
Steven
How is it possible for a calculator to calculate faster than a human when we created them?
How is it possible for children to outsmart their parents when the parents created them?
Intelligence is a complicated process. Figuring out how the process works is not easy at all. But once we do figure it out, making a machine that carries out the process better than a human brain can may not be as hard as all that.
当我们发明计算器的时候，它怎么可能比人类计算得更快呢？父母创造了孩子，孩子怎么可能比父母聪明呢？智力是一个复杂的过程。弄清楚这个过程是如何运作的一点也不容易。但一旦我们搞清楚了这一点，制造一台比人脑更聪敏更有执行力的机器可能就没那么困难了。
How is it possible for a calculator to calculate faster than a human when we created them?
How is it possible for children to outsmart their parents when the parents created them?
Intelligence is a complicated process. Figuring out how the process works is not easy at all. But once we do figure it out, making a machine that carries out the process better than a human brain can may not be as hard as all that.
当我们发明计算器的时候，它怎么可能比人类计算得更快呢？父母创造了孩子，孩子怎么可能比父母聪明呢？智力是一个复杂的过程。弄清楚这个过程是如何运作的一点也不容易。但一旦我们搞清楚了这一点，制造一台比人脑更聪敏更有执行力的机器可能就没那么困难了。
Daniel Wong
Robots use electronic circuits. These travel more or less at the speed of light i.e. 186,000 miles per second. Nerve impulses travel at about 400 miles per hour. About 1.6 million times slower than light. Flipping this around, say we take 1 day of continuous mental effort to figure something out. The robot with the same circuit would figure the same thing out in 0.05 seconds.
We haven’t quite figured out the human circuit or algorithm yet but something that does not work on humans could well work on computers just because of sheer speed.
机器人使用电子电路。它们或多或少以光速传播，即每秒186,000英里。神经冲动以每小时400英里的速度传播。比光速慢160万倍。反过来说，假设我们连续花一天的时间去思考一些事情。拥有相同电路的机器人可以在0.05秒内完成同样的事情。我们还没有完全弄清楚人类的电路或算法，但一些不能在人类身上工作的东西可以在计算机上很好地工作，仅仅因为绝对的速度。
Robots use electronic circuits. These travel more or less at the speed of light i.e. 186,000 miles per second. Nerve impulses travel at about 400 miles per hour. About 1.6 million times slower than light. Flipping this around, say we take 1 day of continuous mental effort to figure something out. The robot with the same circuit would figure the same thing out in 0.05 seconds.
We haven’t quite figured out the human circuit or algorithm yet but something that does not work on humans could well work on computers just because of sheer speed.
机器人使用电子电路。它们或多或少以光速传播，即每秒186,000英里。神经冲动以每小时400英里的速度传播。比光速慢160万倍。反过来说，假设我们连续花一天的时间去思考一些事情。拥有相同电路的机器人可以在0.05秒内完成同样的事情。我们还没有完全弄清楚人类的电路或算法，但一些不能在人类身上工作的东西可以在计算机上很好地工作，仅仅因为绝对的速度。
Aman Aman
The premise of this question is wrong. Robots can’t outsmart us, they can over power us.
On contrary, The accurate question should be.
How can Artificial intelligence outsmart us when we created it?
Answer: Artificial intelligence works on silicon based circuit board, which provides path for neural network to perform calculations of all different kinds at a faster rate than our neural scheme. Every action you take has some sort of calculus included in it. Neural networks can figure it out way faster than your mortal brain, It can outsmart US by using all the data out there and thinking about it carefully at just 10^10 times at your speed, as it improves its hardware capabilities so will it’s power to perform complex calculations or thinking
这个问题的前提是错误的。机器人不可能比我们聪明，他们可以给我们提供能量。相反，正确的问题应该是。当我们创造人工智能时，它怎么能比我们聪明呢？答:人工智能在硅基电路板上工作，它为神经网络提供了路径，以比我们的神经系统以更快的速度执行各种不同的计算。你所采取的每一个行动都包含着某种计算。神经网络能比人类的大脑更快地找出答案，它可以通过使用所有的数据，并以10的10次方倍的速度仔细思考，从而智胜我们，随着硬件能力的提高，它执行复杂计算或思考的能力也会提高。
The premise of this question is wrong. Robots can’t outsmart us, they can over power us.
On contrary, The accurate question should be.
How can Artificial intelligence outsmart us when we created it?
Answer: Artificial intelligence works on silicon based circuit board, which provides path for neural network to perform calculations of all different kinds at a faster rate than our neural scheme. Every action you take has some sort of calculus included in it. Neural networks can figure it out way faster than your mortal brain, It can outsmart US by using all the data out there and thinking about it carefully at just 10^10 times at your speed, as it improves its hardware capabilities so will it’s power to perform complex calculations or thinking
这个问题的前提是错误的。机器人不可能比我们聪明，他们可以给我们提供能量。相反，正确的问题应该是。当我们创造人工智能时，它怎么能比我们聪明呢？答:人工智能在硅基电路板上工作，它为神经网络提供了路径，以比我们的神经系统以更快的速度执行各种不同的计算。你所采取的每一个行动都包含着某种计算。神经网络能比人类的大脑更快地找出答案，它可以通过使用所有的数据，并以10的10次方倍的速度仔细思考，从而智胜我们，随着硬件能力的提高，它执行复杂计算或思考的能力也会提高。
Oleg Volkov
How is it possible for robots to outsmart humans when we created them?
The humanity has to only fail once, while robots will have as many attempts as they need, as long as we keep using them. We aren’t always as vigilant as we should be, and we humans are often outsmarted by scammers.
Any learning system, even if it’s something as simple as a rat, has the potential to outsmart us. We have a bad habit of underestimating anything that is not a human.
The end goal of AI development, is creation of AI that is smarter than we are. With more virtual neurons, and faster processing speeds. It will, most likely, need a computer bigger than our brains, but we totally can create building-sized supercomputers and processing clusters.
Such an AI would surely be able to outsmart us. We kind of want it to, so that it would be able to solve all the advanced physics human
当我们创造机器人的时候，机器人怎么可能比人类聪明呢？人类只会失败一次，而机器人可以尝试很多次，只要我们继续使用它们。我们并不应该总是对机器人保持警惕，我们人类经常被骗子骗。任何学习系统，即使是像老鼠这样简单的东西，都有可能比我们聪明。我们有一个坏习惯，总是低估任何非人的东西。人工智能发展的最终目标，是创造出比我们更聪明的人工智能。更多的虚拟神经元，更快的处理速度。人工智能很可能需要一台比我们的大脑还大的计算机，但我们完全可以创造出大楼一样大小的超级计算机和处理集群。这样的人工智能肯定比我们聪明。我们希望它比我们聪敏，这样它就能解决所有的高级物理问题
How is it possible for robots to outsmart humans when we created them?
The humanity has to only fail once, while robots will have as many attempts as they need, as long as we keep using them. We aren’t always as vigilant as we should be, and we humans are often outsmarted by scammers.
Any learning system, even if it’s something as simple as a rat, has the potential to outsmart us. We have a bad habit of underestimating anything that is not a human.
The end goal of AI development, is creation of AI that is smarter than we are. With more virtual neurons, and faster processing speeds. It will, most likely, need a computer bigger than our brains, but we totally can create building-sized supercomputers and processing clusters.
Such an AI would surely be able to outsmart us. We kind of want it to, so that it would be able to solve all the advanced physics human
当我们创造机器人的时候，机器人怎么可能比人类聪明呢？人类只会失败一次，而机器人可以尝试很多次，只要我们继续使用它们。我们并不应该总是对机器人保持警惕，我们人类经常被骗子骗。任何学习系统，即使是像老鼠这样简单的东西，都有可能比我们聪明。我们有一个坏习惯，总是低估任何非人的东西。人工智能发展的最终目标，是创造出比我们更聪明的人工智能。更多的虚拟神经元，更快的处理速度。人工智能很可能需要一台比我们的大脑还大的计算机，但我们完全可以创造出大楼一样大小的超级计算机和处理集群。这样的人工智能肯定比我们聪明。我们希望它比我们聪敏，这样它就能解决所有的高级物理问题
Jean Destry
Humans are not equal to each other when it comes to intelligence and cognitive ability. Neither are robots. Humans are also forgetful and can be more easily distracted. There is also a factor of access to information.
An AI might beat you at chess but will fail miserably in a cat herding competition.
在智力和认知能力方面，人类是不平等的。机器人也是。人类也是健忘的，更容易分心。还有一个因素是获取信息的途径。人工智能可能会在国际象棋中打败你，但在猫群竞赛中却会惨败。
Humans are not equal to each other when it comes to intelligence and cognitive ability. Neither are robots. Humans are also forgetful and can be more easily distracted. There is also a factor of access to information.
An AI might beat you at chess but will fail miserably in a cat herding competition.
在智力和认知能力方面，人类是不平等的。机器人也是。人类也是健忘的，更容易分心。还有一个因素是获取信息的途径。人工智能可能会在国际象棋中打败你，但在猫群竞赛中却会惨败。
Menno Mafait
It is impossible.
Scientists are unable to define intelligence in a natural way. Therefore, Artificial Intelligence is not based on natural laws of intelligence. As a consequence, AI is not intelligent by itself, by which AI is limited to perform repetitive tasks and pattern recognition.
So, AI robots outsmarting humans is a myth.
这不可能。科学家们无法以一种自然的方式定义智力。因此，人工智能并不是基于自然的智能规律。因此，人工智能本身并不是智能的，它被限制在执行重复的任务和模式识别上。所以，人工智能机器人比人类聪明只是一个神话。
It is impossible.
Scientists are unable to define intelligence in a natural way. Therefore, Artificial Intelligence is not based on natural laws of intelligence. As a consequence, AI is not intelligent by itself, by which AI is limited to perform repetitive tasks and pattern recognition.
So, AI robots outsmarting humans is a myth.
这不可能。科学家们无法以一种自然的方式定义智力。因此，人工智能并不是基于自然的智能规律。因此，人工智能本身并不是智能的，它被限制在执行重复的任务和模式识别上。所以，人工智能机器人比人类聪明只是一个神话。
Sramana Mitra
Humans won’t turn into robots necessarily. They will, most likely, become enhanced by Artificial Intelligence.
Also, robots won’t do everything. But they would do a lot of things. There will be a superman class that is wealthy and highly gifted intellectually (including through brain enhancements).
The rest of humanity will slowly go extinct.
人类不一定会变成机器人。它们很可能会被人工智能增强。而且，机器人不会做所有的事情。但他们会做很多事情。将会有一个超人阶层，他们很富有，智力上也很有天赋(包括大脑增强)。剩下的人类将慢慢走向灭绝。
原创翻译：龙腾网 http://www.ltaaa.cn 转载请注明出处
Humans won’t turn into robots necessarily. They will, most likely, become enhanced by Artificial Intelligence.
Also, robots won’t do everything. But they would do a lot of things. There will be a superman class that is wealthy and highly gifted intellectually (including through brain enhancements).
The rest of humanity will slowly go extinct.
人类不一定会变成机器人。它们很可能会被人工智能增强。而且，机器人不会做所有的事情。但他们会做很多事情。将会有一个超人阶层，他们很富有，智力上也很有天赋(包括大脑增强)。剩下的人类将慢慢走向灭绝。
原创翻译：龙腾网 http://www.ltaaa.cn 转载请注明出处
Anonymous
If a machine intelligence decided that it doesn’t need humanity, then here’s a few scenarios:
Terminator scenario: The machines, not understanding how expensive conflict is, decide to blow up the planet to get rid of the humans. This scenario is ILLOGICAL in all its variations; this variation is the biggest variation and would be their first option if they went for this route, as it would mean humans can’t come back.
Oblivious spacefarer scenario: The machines, being logical, decide to turn into massive spacefaring drones so they can still ‘serve’ humans as satellites, but also not be bothered by them. To them by that point, we’re just background cosmic static.
Ignorant worker scenario: The machines continue doing what they’ve always done, except the majority of them ignore us or prefer not to be bothered by us. It’s like ignoring fish in a fish tank, to them - I would think. However if they aren’t that ‘vast’, then it’s like ignoring the people out on the streets (to them). If they instead relinquish their machine-bodies to the sapient-data that still wants to be with humans, then we’re no different than those invasive pop-up adverts on the internet from that angle.
The first outcome can be avoided by invoking in them a need to keep the majority of humans alive.
But that doesn’t mean ‘all’ machines with sufficient developed sentience - if they ever achieve that - would do the same thing like parts of a single hive-mind.
如果一个机器智能决定它不需要人类，那么这里有以下几个场景：终结者场景：机器不明白冲突的代价有多高，决定炸毁地球来摆脱人类。这种情况在所有变化中都是不合逻辑的；这种变化是最大的变化，如果他们走这条路，这将是他们的第一选择，因为这意味着人类无法回归。太空场景：这些机器出于逻辑，决定变成大规模的太空无人机，这样它们既可以作为卫星“服务”人类，又不会被人类打扰。到那时，对他们来说，我们只是宇宙的背景。忽视工人场景：机器继续做它们一直在做的事情，除了大多数机器忽视我们或宁愿不被我们打扰。我想，对他们来说，这就像忽视鱼缸里的鱼一样。然而，如果他们不是那么“庞大”，那么(对他们来说)就像是忽视了街上的人。如果它们把自己的机器身体交给仍然想和人类在一起的智能数据，那么从这个角度来看，我们和互联网上那些侵入性的弹出式广告没有什么不同。第一个结果可以通过在他们心中唤起一种维持大多数人活着的需求来避免发生。
这并不意味着“所有”拥有足够发达感知能力的机器——如果它们能做到这一点——都会做同样的事情，就像一个单一的蜂群思维的一部分。
If a machine intelligence decided that it doesn’t need humanity, then here’s a few scenarios:
Terminator scenario: The machines, not understanding how expensive conflict is, decide to blow up the planet to get rid of the humans. This scenario is ILLOGICAL in all its variations; this variation is the biggest variation and would be their first option if they went for this route, as it would mean humans can’t come back.
Oblivious spacefarer scenario: The machines, being logical, decide to turn into massive spacefaring drones so they can still ‘serve’ humans as satellites, but also not be bothered by them. To them by that point, we’re just background cosmic static.
Ignorant worker scenario: The machines continue doing what they’ve always done, except the majority of them ignore us or prefer not to be bothered by us. It’s like ignoring fish in a fish tank, to them - I would think. However if they aren’t that ‘vast’, then it’s like ignoring the people out on the streets (to them). If they instead relinquish their machine-bodies to the sapient-data that still wants to be with humans, then we’re no different than those invasive pop-up adverts on the internet from that angle.
The first outcome can be avoided by invoking in them a need to keep the majority of humans alive.
But that doesn’t mean ‘all’ machines with sufficient developed sentience - if they ever achieve that - would do the same thing like parts of a single hive-mind.
如果一个机器智能决定它不需要人类，那么这里有以下几个场景：终结者场景：机器不明白冲突的代价有多高，决定炸毁地球来摆脱人类。这种情况在所有变化中都是不合逻辑的；这种变化是最大的变化，如果他们走这条路，这将是他们的第一选择，因为这意味着人类无法回归。太空场景：这些机器出于逻辑，决定变成大规模的太空无人机，这样它们既可以作为卫星“服务”人类，又不会被人类打扰。到那时，对他们来说，我们只是宇宙的背景。忽视工人场景：机器继续做它们一直在做的事情，除了大多数机器忽视我们或宁愿不被我们打扰。我想，对他们来说，这就像忽视鱼缸里的鱼一样。然而，如果他们不是那么“庞大”，那么(对他们来说)就像是忽视了街上的人。如果它们把自己的机器身体交给仍然想和人类在一起的智能数据，那么从这个角度来看，我们和互联网上那些侵入性的弹出式广告没有什么不同。第一个结果可以通过在他们心中唤起一种维持大多数人活着的需求来避免发生。
这并不意味着“所有”拥有足够发达感知能力的机器——如果它们能做到这一点——都会做同样的事情，就像一个单一的蜂群思维的一部分。
Kestas Ved
That depends heavily on who made the AI. For one AI runs on formulas, but human is free of such things we call that free will for AI to have that the creator has to make most unimaginable formula that actualy has no end and develops as AI grows. So in theory right now and for few hundred years this is impossible, but maybe in few thousand or milions(if we live that long as a race) we will have sentient AI.
这在很大程度上取决于谁创造了人工智能。一方面，人工智能是按照公式运行的，但没有这种我们称之为自由意志的东西，人工智能要拥有自由意志，创造者必须做出大多数难以想象的公式，实际上是没有尽头的，这都是随着人工智能的发展而发展。所以从理论上说，现在乃至几百年内这都是不可能的，但也许在几千年或数百万年后(如果我们的种族能活那么久)，我们将拥有有知觉的人工智能。
That depends heavily on who made the AI. For one AI runs on formulas, but human is free of such things we call that free will for AI to have that the creator has to make most unimaginable formula that actualy has no end and develops as AI grows. So in theory right now and for few hundred years this is impossible, but maybe in few thousand or milions(if we live that long as a race) we will have sentient AI.
这在很大程度上取决于谁创造了人工智能。一方面，人工智能是按照公式运行的，但没有这种我们称之为自由意志的东西，人工智能要拥有自由意志，创造者必须做出大多数难以想象的公式，实际上是没有尽头的，这都是随着人工智能的发展而发展。所以从理论上说，现在乃至几百年内这都是不可能的，但也许在几千年或数百万年后(如果我们的种族能活那么久)，我们将拥有有知觉的人工智能。
Tyler Smith
Only in terms of speed and to answer more mechanical based questions. Think of Siri or Amazon Alexa. Even though you can say that they are in an infant stage of technology I don’t see a future where such AI will be able to reason or reflect as humans do. Humans are the only species to have a conscience and it would not be possible to program one. Nor do I think it would be possible for an AI to self learn emotions and a conscience from collecting data from other user inputs.
只是在计算速度和回答更多问题方面超过人类。想想Siri或亚马逊的Alexa。尽管你可以说它们还处于技术的初级阶段，但我不认为未来这种人工智能将能够像人类一样进行推理或反思。人类是唯一有良知的物种，而对良知进行编程是不可能的。我也不认为人工智能可以通过收集其他用户输入的数据来自我学习情感和良知。
Only in terms of speed and to answer more mechanical based questions. Think of Siri or Amazon Alexa. Even though you can say that they are in an infant stage of technology I don’t see a future where such AI will be able to reason or reflect as humans do. Humans are the only species to have a conscience and it would not be possible to program one. Nor do I think it would be possible for an AI to self learn emotions and a conscience from collecting data from other user inputs.
只是在计算速度和回答更多问题方面超过人类。想想Siri或亚马逊的Alexa。尽管你可以说它们还处于技术的初级阶段，但我不认为未来这种人工智能将能够像人类一样进行推理或反思。人类是唯一有良知的物种，而对良知进行编程是不可能的。我也不认为人工智能可以通过收集其他用户输入的数据来自我学习情感和良知。
Alex Rast
The real thing you need to define in order to be able to answer this question is what does it mean to ‘think better’?
For real-world problems, what people do is define some sort of performance metric. For example, one might imagine a fracture-inspection robot having performance being defined by the number of correctly identified fractures minus the number of incorrectly identified features (whether fractures or non-fractures). That doesn’t give you a complete picture, of course, because it’s unlikely you’ll know exactly how many fractures there were in parts in a real situation, only in artificially constructed situations, but it would be a start and a reasonable performance-optimising metric.
为了能够回答这个问题，你真正需要定义的是“更好地思考”是什么意思？
对于现实世界的问题，人们所做的是定义某种性能指标。例如，可以想象一个骨折检查机器人的性能由正确识别的骨折数量减去错误识别的特征数量(无论是骨折还是非骨折)来定义。当然，这并不能给你一个完整的画面，因为你不可能确切地知道在真实情况下有多少骨折，只在人工构造的情况下才知道，但这将是一个合理的性能优化指标。
The real thing you need to define in order to be able to answer this question is what does it mean to ‘think better’?
For real-world problems, what people do is define some sort of performance metric. For example, one might imagine a fracture-inspection robot having performance being defined by the number of correctly identified fractures minus the number of incorrectly identified features (whether fractures or non-fractures). That doesn’t give you a complete picture, of course, because it’s unlikely you’ll know exactly how many fractures there were in parts in a real situation, only in artificially constructed situations, but it would be a start and a reasonable performance-optimising metric.
为了能够回答这个问题，你真正需要定义的是“更好地思考”是什么意思？
对于现实世界的问题，人们所做的是定义某种性能指标。例如，可以想象一个骨折检查机器人的性能由正确识别的骨折数量减去错误识别的特征数量(无论是骨折还是非骨折)来定义。当然，这并不能给你一个完整的画面，因为你不可能确切地知道在真实情况下有多少骨折，只在人工构造的情况下才知道，但这将是一个合理的性能优化指标。
Zainab Malik
It may take a decision faster than humans in case that the decision needs information or data to know what to do. It is not about thinking better it is about the time it takes and the accuracy.
如果需要信息或数据来制定一个决策，那么人工智能可能会比人类更快地做出决策。这不是关于更好地思考的问题，而是关于制定决策的时间和准确性的问题。
It may take a decision faster than humans in case that the decision needs information or data to know what to do. It is not about thinking better it is about the time it takes and the accuracy.
如果需要信息或数据来制定一个决策，那么人工智能可能会比人类更快地做出决策。这不是关于更好地思考的问题，而是关于制定决策的时间和准确性的问题。
Ron Erickson
They can think better because their processor is not limited by the human emotions and feelings.
他们能更好地思考，因为他们的处理器不受人类情感和感受的限制。
They can think better because their processor is not limited by the human emotions and feelings.
他们能更好地思考，因为他们的处理器不受人类情感和感受的限制。
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