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After the ChatGPT came out, it caused a great panic in the academic circles. Will the AI robot, which writes papers so smoothly, really not be abused by students?

After the birth of ChatGPT, with its own strong text creation ability, constantly refresh our cognition.

What explosive changes will AI bring to college campuses? No one seems ready yet.

Nature has published a post worried that ChatGPT will become a tool for students to write papers.

Article link: https://www.nature.com/ articles / d41586-022-04397-7 coincidentally, a Canadian writer Stephen Marche heartbroken appeal: the university paper is dead!

It's too easy to write papers in AI.

Suppose you are a professor of education and you have assigned a paper on learning style for the academic. A student submitted an article that began as follows:

The construction of "learning style" is problematic because it cannot explain the process of the formation of learning style. Some students may form a special way of learning because of their own unique experience. Others may form a specific learning style by trying to adapt to a learning environment that doesn't suit their needs. Finally, we need to understand the interaction between learning styles and environmental and personal factors, and how these factors affect the way we learn and the types of learning we experience.

Pass or fail? A-or Bobby?

If you finally found out that the student had never written this article by hand, what kind of result would you give?

In fact, this article was generated by Mike Sharples, a British professor, using GPT-3.

For GPT-3 's masterpiece, Sharples believes that it has reached the graduate level.

Professor Sharples hopes his attempt will urge teachers to "rethink teaching and grading".

'AI can be a tool for students to cheat, and of course, they can also be powerful teaching assistants or tools to improve our creativity,'he said.

Student: writing a paper with AI is not considered cheating. A controversial thing happened in May this year.

A student in New Zealand admitted that he used AI to write his paper, but he used it as a tool for grammar and spelling checking.

As a result, the student was punished, but he was aggrieved.

"I am a good student. I go to all the classes, listen to all the lectures and read all the reading materials, but it is wrong to decide that I should be punished just because I do not write eloquently enough. "

Indeed, many students who use AI to do their homework do not feel that they are cheating, because it is usually stipulated in the college student guide that no one else can do the homework for them. But GPT-3 is not someone else, it is an AI.

AIGC is amazing and frightening. Now, no one can ignore this: the universe of AIGC is expanding rapidly.

In December last year, OpenAI released an advanced chat AI called ChatGPT, which set off a new wave of wonder on the Internet.

Google has released new apps that allow people to describe concepts in text and render them as images.

Creative artificial intelligence company Jasper was valued at $1.5 billion in October.

Now, it won't be long before the students find the text generator themselves.

What kind of changes will humanities education usher in? In humanities education, papers, especially undergraduate papers, have always been the core.

It is through papers that we teach students how to study, how to think and how to write.

Now, this tradition is about to be completely subverted.

Last week, Kevin Bryan, an associate professor at the University of Toronto, tweeted that he was shocked by the appearance of ChatGPT: "you can't assign exams or homework to take home anymore." Even on specific questions involving cross-domain knowledge, ChatGPT's answers are excellent. "

Obviously, the engineers and educators who build language technologies are not ready for the consequences of ChatGPT.

For a long time, there has been a gap between humanists and technologists.

In the 1950s, C. P. Snow delivered his famous speech, followed by a paper, "two cultures," which described the humanities and science community as two tribes that had lost contact with each other.

"Humanistic intellectuals are at one pole and scientists at the other," Snow wrote.

"there is a gap between the two that do not understand each other-(especially among young people) they can be hostile and disgusted with each other, but most importantly, there is a lack of understanding between them. They have a strangely distorted image of each other. "

Snow's argument is an appeal to intellectual cosmopolitanism: scholars ignore the basic ideas of the laws of thermodynamics, while scientists ignore the glory of Shakespeare and Dickens.

I'm afraid the rift found by Snow will only get deeper and deeper.

In the modern world of science and technology, the evidence to prove the value of humanistic education is gradually losing.

SBF and Musk's arrogant Sam Bankman-Fried, the founder of the cryptocurrency exchange FTX, lost 16 billion dollars in a few days-he is a notoriously proud illiterate.

"I will never open a book," he once told an interviewer. "I'm not saying that no book is worth reading, but that's pretty much what I mean. "

Musk and Twitter are another good example.

Musk has a perfectly functioning engineer mind, but he is quite clumsy when dealing with relatively simple literary concepts, such as imitation and satire, which pains us spectators.

Of course, in his busy mind, he probably never thought about these concepts, nor did he think that people actually have a lot to think about.

Today's young men and women are reshaping society and history, but in this era of social media, they show extraordinary ignorance of social and historical issues.

Mark Zuckerberg seems to have read a lot about Caesar Augustus, but he should also read 17th-century European regulation of the pamphlet printing press, which may have saved the United States from the destruction of social trust.

The failures we have witnessed do not stem from stinginess or even greed, but from deliberate forgetting.

Engineers do not realize that humanistic problems-such as hermeneutics, the historical contingency of freedom of expression, moral genealogy-are real problems with real consequences.

Yes, everyone has the right to express their views on politics and culture, but opinions are different from well-founded understanding.

If you treat complex problems as obvious to everyone, there is no doubt that it will lead to disaster-soon, you will lose billions of dollars.

Humanities in "soft suicide" because technical experts ignore the problem of humanism, so humanists use "soft suicide" to meet the technological revolution of the past 50 years.

By 2017, the number of English majors had almost halved since the 1990s.

Since 2007 alone, the enrollment rate of history majors has fallen by 45%.

Needless to say, humanists' understanding of technology is one-sided at best.

But more importantly, although technology has changed the world around them, the humanities has not fundamentally changed their methods for decades.

They are still letting meta-narrative explode, as they did in 1979, an exercise full of self-frustration.

In a technology-centric world, language is important, sound and style are important, eloquence is important, history is important, and moral system is important.

But this requires humanists to explain why they are important, rather than constantly destroying their own knowledge base.

The promise of the humanities to students is a journey to an insignificant, self-consuming future; at the same time, they want to know why enrollment is falling.

Is it any wonder that nearly half of humanities graduates regret their chosen major?

The value of humanities in the technological world we can see the value of humanities in the technological world from the difference between Jobs and Musk.

Steve Jobs often stressed that Apple's success was largely due to the Shakespeare and modern dance he played there when he dropped out of Reed College, as well as the famous calligraphy class that provided the aesthetic foundation for Mac's design.

"A lot of people in our industry don't have enough diverse experience. So they don't have enough points to connect, and what they end up with is a very linear solution without a broad view of the problem, "Jobs said."

"the more we understand the human experience, the better our design will be. "Apple is a humanities technology company. It is also the largest company in the world.

Although humanities education has obvious value, its decline continues.

Over the past 10 years, STEM has advanced by leaps and bounds and the humanities is collapsing.

The number of students majoring in computer science is now almost the same as the total number of students in all humanities.

Engineers and humanists need each other, and now, with GPT-3, with ChatGPT.

Natural language processing has brought a series of unprecedented problems to the academic humanities, which is already in jeopardy: the humanities are judged by papers. They awarded doctorates according to the composition of the thesis.

What happens when both processes can be automated?

Based on my experience as a former Shakespeare professor, I think it will take 10 years for academia to face this new reality: it takes two years for students to figure out the technology, and three years for professors to recognize that students are using the technology. then it takes five years for university administrators to decide what to do.

Teachers are already one of the most overworked and underpaid people in the world. They are already dealing with the humanities in crisis. And now such a change makes them even more worthy of sympathy.

However, despite the huge differences, natural language processing will force engineers and humanists to come together.

No matter what happens, they will need each other.

Computer scientists will need basic, systematic, basic humanist education: philosophy of language, sociology, history and ethics are no longer interesting theories.

They are essential for determining the moral and creative use of chatbots.

Humanists need to understand natural language processing because it is the future of language, but also because there is not only the possibility of destruction. Natural language processing can clarify a large number of academic problems.

It will clarify the problems of classification and literary age, which can not be solved by any designed system.

For example, the parameters in a large language model are much more complex than the system for determining which plays Shakespeare wrote.

It can even allow some types of fixes to fill gaps in corrupted text through text prediction models.

It will restate the problems of literary style and linguistics.

If you can teach a machine to write like Samuel Taylor Coleridge, that machine must be able to tell you in some way how Samuel Taylor Coleridge writes.

The link between humanism and technology will need to be accomplished by people with broad horizons and interests beyond their fields.

Before there is room for cooperation, both sides must take the most difficult step for highly educated people: understand that they need each other and admit that they are actually ignorant.

It's hard, but it's really the beginning of wisdom, no matter what technological age we happen to live in.

Reference:

Https://www.theatlantic.com/technology/archive/2022/12/chatgpt-ai-writing-college-student-essays/672371/

This article comes from the official account of Wechat: Xin Zhiyuan (ID:AI_era), editor: Aeneas

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