A machine can now not only beat you at chess, it can also outperform you in debate. Last week, in a public debate in San Francisco, a software program called Project Debater beat its human opponents, including Noa Ovadia, Israel’s former national debating champion.
Brilliant though it is, Project Debater has some weaknesses. It takes sentences from its library of documents and prebuilt arguments and strings them together. This can lead to the kinds of errors no human would make. Such wrinkles will no doubt be ironed out, yet they also point to a fundamental problem. As Kristian Hammond, professor of electrical engineering and computer science at Northwestern University, put it: “There’s never a stage at which the system knows what it’s talking about.”
What Hammond is referring to is the question of meaning, and meaning is central to what distinguishes the least intelligent of humans from the most intelligent of machines. A computer works with symbols. Its program specifies a set of rules to transform one string of symbols into another. But it does not specify what those symbols mean. Indeed, to a computer, meaning is irrelevant. Humans, in thinking, talking, reading and writing, also work with symbols. But for humans, meaning is everything. When we communicate, we communicate meaning. What matters is not just the outside of a string of symbols, but the inside too, not just how they are arranged but what they mean.
Meaning emerges through a process of social interaction, not of computation, interaction that shapes the content of the symbols in our heads. The rules that assign meaning lie not just inside our heads, but also outside, in society, in social memory, social conventions and social relations. It is this that distinguishes humans from machines. And that’s why, however astonishing Project Debater may seem, the tradition that began with Socrates and Confucius will not end with artificial intelligence.
Why does the author mention Noa Ovadia in the first paragraph?
A.To explain the use of a software program. |
B.To show the cleverness of Project Debater. |
C.To introduce the designer of Project Debater. |
D.To emphasize the fairness of the competition. |
相似题推荐
【推荐1】Science is a process that builds upon existing theories and knowledge by continuously revising them. Every aspect of scientific knowledge can be questioned, including the general rules of thinking that appear to be most certain. So why is science trustworthy if it is always changing? If tomorrow we will no longer see the world as Newton or Einstein found it to be, why should we take seriously today’s scientific description of the world?
The answer is simple: Because at any given moment of our history, this description of the world is the best we have. The fact that it can be made better can’t diminish (降低) the fact that it is a useful instrument for understanding the world.
Consider a folk healer’s herbal medicine. Can we say this treatment is “scientific”? ...
What can we learn about today’s scientific description of the world?
A.It can be timeless. | B.It can be improved. |
C.It is of little value. | D.It is the best at any moment. |
【推荐2】What is life? Like most great questions, this one is easy to ask but difficult to answer. The reason is simple: we know of just one type of life and it’s challenging to do science with a sample size of one. The field of artificial life-called ALife for short — is the systematic attempt to spell out life’s fundamental principles. Many of these practitioners, so-called ALifers, think that somehow making life is the surest way to really understand what life is.
So far no one has convincingly made artificial life. This track record makes ALife a ripe target for criticism, such as declarations of the field’s doubtful scientific value. Alan Smith, a complexity scientist, is tired of such complaints. Asking about “the point” of ALife might be, well, missing the point entirely, he says. “The existence of a living system is not about the use of anything.” Alan says. “Some people ask me, ‘So what’s the worth of artificial life?’ Do you ever think, ‘What is the worth of your grandmother?’”
As much as many ALifers hate emphasizing their research’s applications, the attempts to create artificial life could have practical payoffs. Artificial intelligence may be considered ALife’s cousin in that researchers in both fields are enamored by a concept called open-ended evolution (演化). This is the capacity for a system to create essentially endless complexity, to be a sort of “novelty generator”. The only system known to exhibit this is Earth’s biosphere. If the field of ALife manages to reproduce life’s endless “creativity” in some virtual model, those same principles could give rise to truly inventive machines.
Compared with the developments of Al, advances in ALife are harder to recognize. One reason is that ALife is a field in which the central concept — life itself — is undefined. The lack of agreement among ALifers doesn’t help either. The result is a diverse line of projects that each advance along their unique paths. For better or worse, ALife mirrors the very subject it studies. Its muddled (混乱的) progression is a striking parallel (平行线) to the evolutionary struggles that have shaped Earth biosphere.
Undefined and uncontrolled, ALife drives its followers to repurpose old ideas and generated novelty. It may be, of course, that these characteristics aren’t in any way surprising or singular. They may apply universally to all acts of evolution. Ultimately ALife may be nothing special. But even this dismissal suggests something:perhaps, just like life itself throughout the universe, the rise of ALife will prove unavoidable.
What does the word “enamored” underlined in Paragraph 3 most probably mean?
A.Shocked. | B.Protected. | C.Attracted. | D.Challenged. |
Do You Think You Will Have Your Own Robot?
When we watch movies about the future, we sometimes see robots. They are usually like human servants. They help with the housework and do jobs like working in dirty or dangerous places.
Today there are already robots working in factories. Some can help to build cars, and they do simple jobs over and over again.
Scientists are now trying to make robots look like humans and do the same things as we do. Some robots in Japan can walk and dance. They are fun to watch. However, some scientists believe that although we can make robots move like people,
Some scientists believe that there will be more robots in the future.
【推荐1】The adorable female calf is the second black rhino born this year at the reserve, but it is too early to tell if the calves will make good candidates to be returned to protected areas of the wild. The first rhino to be born at Port Lympne arrived on January 5 to firsttime mother Kisima and weighed about 32kg. His mother, grandmother and great grandmother were all born at the reserve and still live there.
What can be inferred about Port Lympne Reserve?
A.The rhino section will be open to the public. |
B.It aims to control the number of the animals. |
C.It will continue to work with the World Wildlife Fund. |
D.Some of its rhinos may be sent to the protected wild areas. |
In Zurich, the blowing up of the Bӧӧgg symbolizes________.
A.the start of the parade | B.the coming of a longer summer |
C.the passing of the winter | D.the success of tradesmen |
【推荐3】Tree-planting, intended to help draw down carbon dioxide from the atmosphere, has become a synonym (同义词) for climate action. In our constant focus on trees, we’ve developed a fixed understanding: Trees absorb carbon dioxide, end of story. The reality is that trees don’t grow well alone. They exist within complex communities, helped along by each other as well as the animals they coexist with. The woodland isn’t nature’s only carbon sink: Grasslands and oceans also help reduce the carbon level and rely on a healthy amount of biodiversity.
That’s what the paper, published in Nature, wants to get across. Co-author Oswald J. Schmitz, a professor of ecology at Yale University, said trees might not be able to do their carbon-uptake job efficiently without the right animals in their ecosystem. That’s because animals animate the carbon cycle through their behavior and roles in the ecosystem. He added that the very presence of wild animals could cause feedback effects that change the ecosystem’s capacity to absorb, release, or transport carbon.
In Serengeti, for instance, the sharp decline in wildebeest (角马) population s during the mid-20th century allowed grass to grow wildly, eventually promoting wildfires that consumed 80 percent of the ecosystem annually and led to a net release of carbon dioxide into the atmosphere. When disease management and bans on illegal hunting helped animal populations recover, a greater share of the carbon stored in plants was consumed by wildebeest and released as waste, keeping it in the system and restoring the grassland as a carbon sink.
1. What can we learn from the first paragraph?A.Actions are needed to reduce carbon dioxide. |
B.Trees are a quick solution to the climate crisis. |
C.People are not thinking through trees properly. |
D.Grasslands and oceans help maintain biodiversity. |
A.The conservation of animals is still a serious issue. |
B.Animals can swing the ecosystem’s capacity to store carbon. |
C.Human impacts bring about the reduction in wildlife populations. |
D.The increase in animal species causes a decrease in carbon uptake. |