{"id":8463,"date":"2025-07-10T07:29:51","date_gmt":"2025-07-09T21:29:51","guid":{"rendered":"http:\/\/geoffreychen.com\/?p=8463"},"modified":"2025-07-10T11:33:34","modified_gmt":"2025-07-10T01:33:34","slug":"ai-and-education","status":"publish","type":"post","link":"https:\/\/geoffreychen.com\/zh\/ai-and-education\/","title":{"rendered":"AI\u4e0e\u6559\u80b2\u7684\u601d\u8003\uff1a\u5e7b\u89c9\u4e0e\u8dc3\u8fc1\u4e4b\u95f4 Comments and Reflections on AI and Education"},"content":{"rendered":"
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\u7136\u800c\u4ee4\u4eba\u9057\u61be\u7684\u662f\uff0c\u4ee5Geoffrey Hinton\u4e3a\u4ee3\u8868\u7684\u201c\u8fde\u63a5\u4e3b\u4e49\u201dAI\u6d3e\u7cfb\uff0c\u4f3c\u4e4e\u5e76\u4e0d\u627f\u8ba4\u4eba\u7c7b\u5177\u6709\u81ea\u7531\u610f\u5fd7\u3002\u4ed6\u4eec\u76f8\u4fe1\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u53d1\u5c55\u65b9\u5411\u7ec8\u5c06\u5b8c\u5168\u53d6\u4ee3\u4eba\u8111\u3002\u5bf9\u6b64\u6211\u65e0\u529b\u5168\u9762\u5426\u5b9a\uff0c\u4f46\u6211\u59cb\u7ec8\u503e\u5411\u4e8e\u76f8\u4fe1\uff1a\u4eba\u7c7b\u603b\u6709\u4e00\u4e9b\u4e1c\u897f\u662f\u673a\u5668\u65e0\u6cd5\u66ff\u4ee3\u7684\u3002<\/p>\n\n\n\n

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<\/p>\n\n\n\n

The following are some of my comments and reflections made in response to a friend\u2019s views during a discussion program on the topic of AI and education.<\/p>\n\n\n\n

When people talk about artificial intelligence (AI), the first thing that often comes to mind is its application in writing essays. Indeed, this is currently one of AI\u2019s major use cases. However, it is far from the whole picture\u2014in fact, it is just a very small part of AI\u2019s many potential applications. What\u2019s more concerning is that many people have a fundamental misunderstanding of AI. They often mistakenly believe that AI already possesses logical reasoning ability, whereas in reality, it does not. At best, AI gives the appearance of reasoning at the representational level, but it essentially remains in a \u201cpseudo-reasoning\u201d stage.<\/p>\n\n\n\n

In my view, it is especially important for young people to grow up alongside AI during their developmental years. This reminds me of a time when students were criticized for not being able to distinguish the \u201cfive grains\u201d and were therefore sent to the countryside to learn farming. But really, why must one be able to distinguish the five grains? This reflects a certain limitation in educational thinking.<\/p>\n\n\n\n

In China, education from primary school through university\u2014sometimes even at the doctoral level\u2014tends to follow a \u201cmass production\u201d model. This makes it difficult for teachers to truly understand their students, resulting in a situation where today, it\u2019s hard to tell whether an essay was written by a student or generated by AI. This is not the fault of AI, but rather a problem with the educational approach itself.<\/p>\n\n\n\n

It\u2019s like students learning Chinese: it\u2019s great if they understand calligraphy, and even better if they can write with a brush. But it doesn\u2019t really matter if they can\u2019t\u2014writing characters and writing an article are two different things. In an era of information explosion and knowledge inflation, an individual\u2019s cognitive and skill structure can only cover a very limited scope. Therefore, in the age of AI, we must boldly rethink and selectively discard certain traditional educational content when it comes to raising children. In this regard, I fully agree with Professor Yu\u2019s view.<\/p>\n\n\n\n

Today, ChatGPT is becoming an external brain for users. There\u2019s no longer a need to store everything in our own minds. The future of human-machine relationships will undergo revolutionary breakthroughs. Hence, AI should not be judged solely based on specific application scenarios\u2014this is the most astonishing intellectual leap in human evolution so far.<\/p>\n\n\n\n

The general trend of technological progress is that while it liberates humanity, it also leads to a regression in some biological abilities. For example, although the 100-meter sprint record continues to be broken, this is largely the result of competitive mechanisms capturing rare statistical outliers, while the average running speed of humans has actually declined. Similarly, the significant increase in human lifespan is mainly due to reductions in famine and improvements in healthcare and nutrition since industrialization\u2014not because of stronger human physiology. In fact, our biological resilience is weaker than before: a single pandemic can kill tens of millions. In the past, technology primarily liberated the human limbs; now it has begun to \u201cwork on\u201d the brain.<\/p>\n\n\n\n

I strongly agree with Professor Lu\u2019s emphasis on \u201ceducation with love.\u201d This way of thinking truly represents \u201cout of the box\u201d thinking\u2014breaking away from traditional cognitive constraints.<\/p>\n\n\n\n

Unfortunately, the \u201cconnectionist\u201d school of AI, represented by Geoffrey Hinton, appears to deny the existence of human free will. They believe that the development of large language models will eventually completely replace the human brain. I don\u2019t have the means to refute this view entirely, but I tend to believe that there will always be something within humanity that machines cannot replicate.<\/p>\n\n\n\n

As I mentioned earlier, one common misunderstanding about AI is the belief that it possesses genuine emotional capacity. This is a human illusion. AI may appear to have emotions at the representational level, but it actually has no feelings, no free will, and certainly no values of its own. What it demonstrates is merely a kind of \u201cmagical effect.\u201d Ironically, not all humans possess these traits either, which is why we often see situations where real people seem less intelligent than machines.<\/p>","protected":false},"excerpt":{"rendered":"

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