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AI Chatbots Quietly Shape Everyday Choices — episode cover art
10:43

智能的平庸:为什么AI让你变得乏味

AI Chatbots Quietly Shape Everyday Choices

About this story

ChatGPT, Midjourney, and Stable Diffusion optimize for efficiency — and quietly drain the edges from how we think. HSK 5-6 Chinese listening practice.

This is an HSK 5-6 Chinese listening episode that runs about 11 minutes. The full Mandarin script is shown with tap-for-pinyin and a line-by-line English translation, so you can listen and read at once — comprehensible input in the sense of Stephen Krashen's i+1 theory. It teaches 14 key vocabulary words such as 尴尬、效率、逻辑 and walks through 5 grammar patterns, each explained in English with examples. The same news story is retold at 4 difficulty levels — use the level selector above to find the version that is challenging but still understandable for you.

Read at your level

原文

Read the complete story in Chinese. Reveal pinyin and English only when you need them.

关于人工智能是否正在剥夺人类个性的讨论,最近在文化评论界引起了不小的波澜,尤其是当我们把目光投向“乏味”这个词的时候。
我们不得不面对一个略显尴尬的现实:在这个工具越来越聪明的时代,作为使用者的我们,似乎正在变得越来越平庸,甚至可以说是无趣。
这听起来可能有些刺耳,毕竟我们习惯了将AI视为创意的助推器,是那个能帮我们打破思维僵局的神奇助手。
但如果我们剥开这层效率的糖衣,去审视技术与人类思维互动的本质,你会发现一种隐秘的“异化”正在发生。
让我们先从大语言模型的基本逻辑说起,这并非要掉书袋谈技术细节,而是要理解它的底层哲学。
目前的生成式AI,其核心机制建立在概率统计之上,它在预测下一个最可能出现的字、词或像素。
请注意“最可能”这三个字,这在统计学上意味着它总是倾向于选择那条被最多人走过的路,那个处于正态分布曲线最高点的“平均值”。
当这种逻辑被应用到创作、表达乃至日常交流中时,我们得到的结果,往往是“正确”的,却是“平庸”的。
它像是一个不知疲倦的熨斗,极其高效地熨平了人类思想中那些粗糙、尖锐、甚至有些怪诞的褶皱。
而恰恰是这些褶皱,这些不那么标准、不那么符合概率预测的偏离,构成了所谓的“个性”,构成了让人觉得“有趣”的灵魂。
试想一下,当你习惯了用AI去润色每一封邮件,用它去生成每一个社交媒体的文案,甚至用它来构思给朋友的生日祝福时,实际上你是在主动交出你的“语感”。
语言不仅仅是信息的载体,它更是思维的肉身。
我们在遣词造句时的每一次犹豫、每一次对某个形容词的推敲,甚至是因为词不达意而产生的焦虑,其实都是大脑在进行剧烈的认知运动。
这种思维的摩擦力,正是产生独特洞见的温床。
然而,AI的介入消除了这种摩擦力,它提供了一种丝滑的、毫无阻滞的表达体验。
你只需要输入一个模糊的指令,一段逻辑严密、辞藻华丽的文字便喷涌而出。
这种唾手可得的满足感是具有成瘾性的,它会让你产生一种错觉,以为不仅效率提升了,自己的表达能力也随之升级了。
但残酷的真相是,这种外包的表达并没有滋养你的大脑,反而在长期的依赖中,让你的思维肌肉逐渐萎缩。
久而久之,我们可能会发现自己丧失了描述复杂情感的能力,丧失了用独特的视角去重构世界的能力。
我们的语言风格开始趋同,变成了一种带着塑料质感的“AI腔调”——那种四平八稳、面面俱到,却唯独缺少体温和脉搏的文字。
这不仅仅是语言层面的问题,更深层的影响在于它改变了我们的审美和认知习惯。
在视觉艺术领域,这种现象尤为明显。
Midjourney或Stable Diffusion生成的图像确实精美绝伦,光影、构图、细节都无可挑剔。
但如果你在这些平台上浏览过足够多的作品,你会产生一种强烈的审美疲劳。
你会发现,尽管题材千变万化,但这些图像背后似乎共享着某种同质化的审美逻辑,一种经过算法提纯后的、讨好大众眼球的视觉平庸。
它们缺乏那种由人类艺术家的痛苦、执念或疯狂所赋予的“刺点”,那种能让你在凝视中感到不安或震撼的力量。
当我们的视野被这些高度同质化、看似完美实则空洞的内容填满时,我们的审美触角也会变得迟钝。
我们开始习惯于这种速食般的视觉刺激,而对那些需要耐心咀嚼、带有瑕疵但充满生命力的真实创作失去兴趣。
这就是“乏味”的来源:当一切都变得可预测,当惊喜被算法的精准计算所取代,生活就失去了一种名为“不确定性”的魅力。
更有趣的是,AI还在重新定义什么叫“创造力”。
在过去,创造力往往意味着“无中生有”,意味着在荒原上开辟道路。
而现在,在很多人的认知里,创造力退化成了“提示词工程”,退化成了如何在巨大的数据库中进行检索和组合。
这种从“创作者”到“策展人”的身份转变,虽然降低了创作的门槛,却也稀释了创作的浓度。
当每个人都能在几秒钟内生成一首诗、一幅画、一段代码时,这些产出物的价值便经历了通货膨胀式的贬值。
在这个过程中,变得乏味的不仅是作品,更是人本身。
一个有趣的人,往往是因为他有独特的经历,有偏见,有执念,甚至有某种不可理喻的怪癖。
他的观点可能不全面,但一定是鲜活的;他的表达可能不流畅,但一定是真诚的。
而AI训练的目标恰恰是消除偏见(尽管它引入了新的算法偏见),追求全面和客观。
如果我们以AI为师,以AI的输出为标准答案,我们就是在主动削减自己性格中的棱角,让自己变成一个标准化的零部件。
这种趋势在职场和教育中尤为令人担忧。
现在的学生或年轻职员,如果习惯了遇事问AI,他们可能会逐渐丧失一种至关重要的能力——“在此刻不知道答案”的耐受力。
很多时候,深刻的见解诞生于长时间的困惑和迷茫之中,诞生于你在资料堆里毫无头绪的翻找之中。
那个“寻找”的过程,本身就是建立知识连接、构建个人思维图谱的过程。
AI提供的即时答案,剥夺了我们经历这种智力挣扎的权利,也就剥夺了我们从挣扎中生长出独特智慧的机会。
于是,我们看到越来越多的报告写得滴水不漏,却没有任何新意;越来越多的文章引经据典,却听不到作者自己的声音。
这是一种集体性的平庸化,一种由技术加速的文化熵增。
当然,我们不能否认AI作为工具的巨大价值,它确实能把我们从繁琐的重复性劳动中解放出来。
但问题的关键在于,我们腾出来的时间和精力,真的被用在了更有创造性的事情上吗?
还是说,我们只是把原本属于人类的创造性领地,也一步步拱手相让?
有一种观点认为,AI将逼迫人类去寻找那些机器无法替代的特质,从而让人类变得更加独特。
这是一种乐观的看法,但它要求使用者具备极高的自觉性和强大的主体意识。
现实情况往往是,大多数人会顺着阻力最小的方向滑落,沉溺于技术提供的舒适区。
要对抗这种“乏味”的引力,我们需要一种近乎苦行僧般的自律。
我们需要刻意地去保留一些“低效率”的习惯,比如手写日记,比如去阅读那些晦涩难懂的原著而不是AI生成的摘要,比如强迫自己面对一张白纸而不是输入提示词。
我们需要珍视自己的“错误”和“偏见”,因为那是我们区别于算法的指纹。
在一个完美答案触手可及的世界里,提出一个笨拙但属于自己的问题,可能比得到一百个完美的各种生成结果都要珍贵。
这种对抗并非是反技术的,而是为了在技术洪流中保全人类精神的丰富性。
我们必须意识到,真正的深度往往隐藏在那些无法被算法量化、无法被模型预测的缝隙之中。
那是人类情感的幽暗之处,是直觉的闪光,是逻辑断裂处的飞跃。
如果我们因为贪图便捷而放弃了对这些领域的探索,那我们最终剩下的,可能只是一副被算法填充的躯壳。
这不仅是个人的损失,也是整个文明的退化。
想象一下,如果未来的聚会上,大家讲的笑话都是AI生成的段子,大家分享的观点都是大模型总结的主流看法,那将是何等无趣的场景。
这种乏味不仅仅是无聊,它是一种精神上的贫血。
它意味着我们失去了对生活质感的敏锐捕捉,失去了与他人建立深度情感共鸣的能力。
因为共鸣往往产生于脆弱、缺陷和共同的挣扎,而不是产生于完美和正确。
机器不会感到痛苦,不会感到尴尬,不会因为爱而不得而辗转反侧,所以机器生成的文字永远无法真正打动人心,它只能模拟打动人心的技巧。
如果我们满足于这种模拟,那我们就是在主动降维。
所以,当下一次你想要打开ChatGPT帮你写一段回复,或者想用AI帮你构思一个方案时,不妨停顿一秒钟。
问问自己:这一刻,我是想省时间,还是想省脑子?
如果是前者,无可厚非;如果是后者,那警钟就已经敲响。
因为让你变得乏味的,从来不是AI这个工具本身,而是你对思考的放弃,对捷径的贪婪,以及对平庸的妥协。
在这个充满算力的世界里,保持一点“笨拙”,保持一点“慢”,甚至保持一点“不知所措”,或许才是我们维持作为人类的尊严,以及让自己变得有趣的最后防线。
毕竟,机器可以模拟出一万种精彩的结局,但它永远无法模拟那一刻怦然心动或痛彻心扉的真实过程。
而正是这些过程,这些无法被压缩、无法被加速的生命体验,定义了我们是谁。
English transcript reference

The discussion about whether artificial intelligence is stripping away human individuality has caused quite a stir in cultural criticism circles recently, especially when we turn our gaze to the word "boring."

We have to face a slightly awkward reality: in this era where tools are getting smarter, as users, we seem to be becoming increasingly mediocre, or even uninteresting.

This might sound a bit harsh, after all, we are used to viewing AI as a creative booster, a magical assistant that can help us break through mental gridlock.

But if we peel back this sugar-coating of efficiency to examine the essence of the interaction between technology and human thought, you will discover that a hidden "alienation" is taking place.

Let's start with the basic logic of large language models; this isn't about showing off bookish knowledge of technical details, but about understanding its underlying philosophy.

Current generative AI has its core mechanism built on probability statistics; it is predicting the next most likely character, word, or pixel to appear.

Please pay attention to the words "most likely"; in statistics, this means it always tends to choose the path traveled by the most people, that "average value" at the highest point of the normal distribution curve.

When this logic is applied to creation, expression, and even daily communication, the results we get are often "correct," but "mediocre."

It is like a tireless iron, extremely efficiently ironing out those rough, sharp, and even somewhat grotesque wrinkles in human thought.

And it is precisely these wrinkles, these deviations that are not so standard and do not fit probability predictions, that constitute so-called "individuality" and constitute the soul that makes people feel "interesting."

Just imagine, when you get used to using AI to polish every email, using it to generate every social media post, and even using it to conceive birthday wishes for friends, you are actually voluntarily handing over your "sense of language."

Language is not just a carrier of information; it is the physical embodiment of thought.

Every hesitation we have when phrasing sentences, every deliberation over an adjective, and even the anxiety caused by failing to express meaning accurately, are actually the brain engaging in intense cognitive exercise.

This friction of thought is precisely the breeding ground for unique insights.

However, the intervention of AI eliminates this friction, providing a silky, unobstructed experience of expression.

You only need to input a vague instruction, and a passage of text with rigorous logic and flowery language gushes out.

This readily available satisfaction is addictive, and it gives you the illusion that not only has efficiency improved, but your ability to express yourself has also upgraded along with it.

But the cruel truth is that this outsourced expression does not nourish your brain; instead, through long-term dependence, it causes your mental muscles to gradually atrophy.

Over time, we may find ourselves losing the ability to describe complex emotions and losing the ability to reconstruct the world from a unique perspective.

Our language styles begin to converge, turning into an "AI tone" with a plastic texture—that kind of steady, comprehensive text that lacks only body warmth and a pulse.

This is not just a problem at the language level; the deeper impact lies in the fact that it changes our aesthetic and cognitive habits.

In the field of visual arts, this phenomenon is particularly obvious.

Images generated by Midjourney or Stable Diffusion are indeed exquisitely beautiful, with impeccable lighting, composition, and details.

But if you have browsed enough works on these platforms, you will develop a strong sense of aesthetic fatigue.

You will find that although the subjects change in thousands of ways, these images seem to share a certain homogenized aesthetic logic behind them, a kind of visual mediocrity purified by algorithms to please the public eye.

They lack the "punctum" endowed by the pain, obsession, or madness of human artists, that power that can make you feel uneasy or shaken while gazing at it.

When our field of vision is filled with this highly homogenized, seemingly perfect but actually hollow content, our aesthetic tentacles will also become dull.

We begin to get used to this fast-food-like visual stimulation and lose interest in real creations that require patient chewing, contain flaws, but are full of vitality.

This is the source of "boredom": when everything becomes predictable, when surprises are replaced by the precise calculations of algorithms, life loses a charm called "uncertainty."

Even more interestingly, AI is redefining what "creativity" means.

In the past, creativity often meant "creating something out of nothing," meant blazing a trail in the wilderness.

But now, in many people's perception, creativity has degenerated into "prompt engineering," degenerated into how to retrieve and combine within a huge database.

This shift in identity from "creator" to "curator," while lowering the threshold for creation, has also diluted the concentration of creation.

When everyone can generate a poem, a painting, or a piece of code in a few seconds, the value of these outputs experiences an inflationary devaluation.

In this process, it is not only the works that become boring, but the people themselves.

An interesting person is often interesting because they have unique experiences, prejudices, obsessions, and even some unreasonable quirks.

Their views may not be comprehensive, but they are certainly vivid; their expression may not be fluent, but it is certainly sincere.

Yet the goal of AI training is precisely to eliminate bias (although it introduces new algorithmic biases) and to pursue comprehensiveness and objectivity.

If we take AI as our teacher and take AI's output as the standard answer, we are actively cutting away the sharp edges of our personality and turning ourselves into standardized components.

This trend is particularly worrying in the workplace and education.

Current students or young employees, if accustomed to asking AI whenever they encounter issues, may gradually lose a crucial ability—the tolerance for "not knowing the answer in this moment."

Often, profound insights are born out of long periods of confusion and bewilderment, born out of your clueless rummaging through piles of data.

That process of "searching" is itself the process of establishing knowledge connections and building a personal mental map.

The instant answers provided by AI deprive us of the right to experience this intellectual struggle, and thus deprive us of the opportunity to grow unique wisdom from that struggle.

Thus, we see more and more reports written flawlessly but without any novelty; more and more articles quoting classics but without the author's own voice.

This is a collective mediocrity, a cultural entropy increase accelerated by technology.

Of course, we cannot deny the immense value of AI as a tool; it can indeed liberate us from tedious repetitive labor.

But the crux of the problem lies in: are the time and energy we freed up really being used on more creative things?

Or are we just handing over the creative territory that originally belonged to humans, step by step?

There is a view that AI will force humans to find those qualities that machines cannot replace, thereby making humans more unique.

This is an optimistic view, but it requires users to possess extremely high self-awareness and a strong sense of subjectivity.

The reality is often that most people will slide in the direction of least resistance and indulge in the comfort zone provided by technology.

To resist this gravity of "boredom," we need a self-discipline akin to that of an ascetic monk.

We need to deliberately retain some "low-efficiency" habits, such as handwriting diaries, reading those obscure original works instead of AI-generated summaries, and forcing ourselves to face a blank sheet of paper instead of inputting prompts.

We need to cherish our "mistakes" and "biases," because those are our fingerprints distinguishing us from algorithms.

In a world where perfect answers are within easy reach, asking a clumsy but personal question may be more precious than getting a hundred perfect generated results.

This resistance is not anti-technology, but to preserve the richness of the human spirit amidst the technological torrent.

We must realize that true depth is often hidden in those crevices that cannot be quantified by algorithms or predicted by models.

That is the dim place of human emotion, the flash of intuition, the leap where logic breaks.

If we give up exploration of these areas for the sake of convenience, what we are left with in the end may just be a shell filled by algorithms.

This is not only a personal loss but also the degeneration of the entire civilization.

Imagine, if at future gatherings, the jokes everyone tells are AI-generated gags, and the views everyone shares are mainstream opinions summarized by large models, what a boring scene that would be.

This boredom is not just tediousness; it is a kind of spiritual anemia.

It means we have lost the keen capture of life's texture and the ability to establish deep emotional resonance with others.

Because resonance often arises from vulnerability, flaws, and shared struggles, not from perfection and correctness.

Machines do not feel pain, do not feel awkward, and do not toss and turn because of unrequited love, so the text generated by machines can never truly touch people's hearts; it can only simulate the techniques of touching hearts.

If we are satisfied with this simulation, then we are actively reducing our dimensionality.

So, the next time you want to open ChatGPT to help you write a reply, or want to use AI to help you conceive a plan, you might as well pause for a second.

Ask yourself: At this moment, do I want to save time, or do I want to save brainpower?

If it is the former, there is nothing to blame; if it is the latter, then the alarm bell has already rung.

Because what makes you boring is never the tool AI itself, but your abandonment of thinking, your greed for shortcuts, and your compromise with mediocrity.

In this world full of computing power, keeping a bit of "clumsiness," keeping a bit of "slowness," and even keeping a bit of "bewilderment" might be the last line of defense for maintaining our dignity as humans and making ourselves interesting.

After all, machines can simulate ten thousand wonderful endings, but they can never simulate that real process of a heart pounding with excitement or piercing pain.

And it is precisely these processes, these life experiences that cannot be compressed or accelerated, that define who we are.

Listen again

Try it without the transcript and notice what sounds clearer.

What vocabulary does this episode teach?

词汇
gān gàawkward / embarrassed

Used to describe a situation that is uncomfortable or a feeling of embarrassment.

xiào lǜefficiency

Refers to the ratio of useful work performed to the total energy expended or resources used.

luó jilogic

Refers to reasoning or a particular mode of reasoning viewed as valid or faulty.

hé xīncore / nucleus

The central or most important part of something.

quē fáto lack / to be short of

Indicates a shortage or absence of something needed.

dú tèunique / distinct

Being the only one of its kind; unlike anything else.

quánlìright

HSK 1-4. right.

bō duóto deprive / to strip

To take something away from someone, often rights or property.

píng yōngmediocre / ordinary

Of only average quality; not very good.

yì huàalienation / dissimilation

A philosophical or sociological term referring to becoming estranged or isolated from one's own nature or society.

diào shū dàito show off one's book learning

An idiom meaning to ostentatiously display one's knowledge, often by quoting classics excessively.

tóng zhì huàhomogenization

The process of making things uniform or similar.

gòng míngresonance / sympathy

A feeling of shared emotion or understanding.

shāng zēngentropy increase

A physics term often used metaphorically to describe a system declining into disorder or mediocrity.

* beyond level超纲词

What grammar patterns appear in this episode?

语法
并非……而是……↗

This structure means 'it is not... but rather...'. It is used to negate one statement and affirm another to clarify a point.

这并非要掉书袋谈技术细节,而是要理解它的底层哲学。

这种对抗并非是反技术的,而是为了在技术洪流中保全人类精神的丰富性。

不仅仅是……更是……↗

This pattern means 'not only... but even more...'. It indicates that the second part is a deeper, more significant, or more extensive aspect of the first.

语言不仅仅是信息的载体,它更是思维的肉身。

这不仅仅是语言层面的问题,更深层的影响在于它改变了我们的审美和认知习惯。

把……视为……↗

This construction means 'to view/regard [Object] as [Something]'. It expresses how someone perceives a subject.

我们习惯了将AI视为创意的助推器。

尽管……但……↗

This pattern means 'Although... [but]...'. It is used to introduce a concession followed by a contrasting main clause.

你会发现,尽管题材千变万化,但这些图像背后似乎共享着某种同质化的审美逻辑。

而AI训练的目标恰恰是消除偏见(尽管它引入了新的算法偏见),追求全面和客观。

甚至↗

Meaning 'even' or 'go so far as to', it is used to emphasize a point that goes beyond what might be expected.

作为使用者的我们,似乎正在变得越来越平庸,甚至可以说是无趣。

甚至用它来构思给朋友的生日祝福时……

Proper nouns

专有名词
MidjourneyMidjourneyMidjourney (AI image generation tool)Stable DiffusionStable DiffusionStable Diffusion (AI image generation model)ChatGPTChatGPTChatGPT (AI chatbot)

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来源

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