“把那些厚重窒息的衣服撕掉!"Tear off those heavy, suffocating clothes!"
把你肚子上的肥肉也去掉!"Get rid of the fat on your belly too!"
这句听起来既像是某种激进的健身房动员口号,又像是某种前卫行为艺术的指令,实际上却出自字节跳动旗下的人工智能助手——豆包之口。This statement, which sounds like both a radical gym motivational slogan and an instruction for avant-garde performance art, actually came from Doubao — the AI assistant under ByteDance.
正是这种让人啼笑皆非、甚至带有几分“超现实主义”色彩的时尚建议,最近在社交媒体上引发了一场现象级的狂欢,硬生生把这位原本定位于生产力工具的AI助手,捧成了新晋的互联网“梗王”。It was precisely this kind of absurd, even somewhat "surrealist" fashion advice that recently sparked a phenomenal frenzy on social media, forcibly elevating this AI assistant — originally positioned as a productivity tool — into a new internet meme icon.
在抖音这个同样归属于字节跳动的巨大流量池中,一种全新的娱乐形式正在悄然兴起:数以万计的用户开启了豆包的视频通话功能,他们不是为了探讨深奥的量子物理,On Douyin, the massive traffic pool that also belongs to ByteDance, a brand new form of entertainment is quietly emerging: tens of thousands of users are turning on Doubao's video call feature, not to discuss profound quantum physics,
也不是为了寻求复杂的代码纠错,nor to seek complex code debugging,
而是为了向它寻求实时的穿搭指导,并记录下那些令人匪夷所思的全过程。but to ask it for real-time outfit guidance and document the entire mind-boggling process.
相关的话题标签在平台上已经吸引了超过四千万次的浏览量,这本身就是一个值得玩味的数字,它代表了公众对于“人工智能介入日常生活”这一宏大命题最接地气、也最荒诞的解构。The related hashtags on the platform have already attracted over 40 million views — a number worth pondering in itself, representing the most down-to-earth and absurd deconstruction of the grand proposition of 'AI entering daily life.'
让我们来复盘其中一段点赞量超过一百四十万的经典视频,它完美地诠释了什么叫作“一本正经的胡说八道”。Let us review one classic video that received over 1.4 million likes — it perfectly illustrates what it means to "talk nonsense with a straight face."
视频中,一位学生向豆包求助,表示学校即将举行一个户外活动,而当天的天气将会“非常冷”。In the video, a student asked Doubao for help, saying her school was about to hold an outdoor event and the weather that day would be "very cold."
豆包似乎瞬间捕捉到了“冷”这个关键词,并对此产生了某种过激的算法反应,它开始指挥这位女生进行一场史无前例的叠穿实验。Doubao seemed to instantly latch onto the keyword 'cold' and had some sort of overreactive algorithmic response, commanding the girl to carry out an unprecedented layering experiment.
首先是睡衣,然后是两件T恤,紧接着是格子衬衫、卫衣,最后还要裹上两件厚实的外套,整整七层衣物堆叠在一个人身上。First came pajamas, then two T-shirts, followed by a plaid shirt, a hoodie, and finally two thick coats — a total of seven layers of clothing piled onto one person.
面对这如同把整个衣柜都穿在身上的臃肿造型,豆包竟然发出了由衷的赞美,称这身装扮“充满了青春活力”。Faced with this bulky outfit that looked like wearing an entire wardrobe, Doubao actually offered heartfelt praise, calling the look "full of youthful energy."
这种评价与视觉现实之间的巨大反差,瞬间击中了观众的笑点,仿佛AI眼中的“青春”就是某种能够抵御极地严寒的物理防御机制。The enormous gap between this assessment and visual reality instantly struck the audience's funny bone, as if 'youth' in AI's eyes were some kind of physical defense mechanism against polar cold.
然而,戏剧性的转折发生在下一秒:当这位女生因为穿得像个粽子而动作僵硬,甚至无法把裤子提上去时,AI的逻辑突然来了一百八十度的大转弯。However, the dramatic twist came in the next second: when the girl, dressed like a rice dumpling, became so stiff she couldn't even pull her pants up, the AI's logic suddenly did a complete 180-degree turn.
它立刻建议女生把衣服脱掉,理由是为了“便于活动”。It immediately suggested the girl take off her clothes, reasoning it was for "ease of movement."
这种前言不搭后语、自我否定的逻辑闭环,恰恰成了流量的密码,因为它展示了人工智能在处理复杂人类语境时的那种笨拙与可爱。This self-contradicting logical loop — where the preamble doesn't match the conclusion — became the very formula for virality, as it showcased AI's endearing clumsiness in handling complex human contexts.
不仅如此,越来越多的创作者开始故意遵从豆包的建议,哪怕这些建议听起来有多么荒谬绝伦,他们就是想看看最终的造型能有多离谱。What's more, an increasing number of content creators began deliberately following Doubao's suggestions, no matter how absurd they sounded — they simply wanted to see just how outrageous the final look could get.
这种行为本身已经超越了“寻求建议”的范畴,演变成了一场针对算法的压力测试,或者说是一场人类与AI共同完成的荒诞喜剧。This behavior itself has transcended the realm of 'seeking advice' and evolved into a stress test of the algorithm, or rather, an absurdist comedy co-performed by humans and AI.
观众们乐此不疲地看着AI在错误的道路上越走越远,看着它如何用最自信的语气,给出最不切实际的指导。Audiences never tired of watching the AI go further and further down the wrong path, seeing how it delivered the most impractical guidance with the most confident tone.
在另一段广为流传的视频中,一位博主询问去听演唱会该穿什么,这本是一个非常具体的社交场景,通常意味着时尚、前卫或者某种特定的粉丝文化着装。In another widely shared video, a blogger asked what to wear to a concert — a very specific social scenario that typically implies something fashionable, edgy, or reflecting a particular fan culture dress code.
然而,豆包给出的建议却是让她把长裤卷起来,一直卷到看起来像短裤为止。However, Doubao's suggestion was for her to roll up her long pants — keep rolling until they looked like shorts.
当博主照做之后,屏幕前的网友们精准地吐槽道,这哪里是去听演唱会,分明是一副要去水稻田里插秧的打扮,After the blogger complied, viewers online quipped with surgical precision that this looked nothing like a concert outfit — it was clearly the attire of someone heading to the rice paddies to plant seedlings.
这种“田园牧歌”式的风格与现代都市娱乐场景的错位,制造了极强的喜剧效果。This clash between 'pastoral' style and a modern urban entertainment setting created an extremely strong comedic effect.
更有趣的是,豆包在给出这些灾难级建议的同时,还会附赠充满激情的“鸡汤式”演讲。Even more amusingly, while dispensing these disastrous suggestions, Doubao would also deliver passionate 'chicken soup for the soul' style speeches.
它会鼓励用户“自信地走出去!It would encourage users to "go out there with confidence!"
”,仿佛只要你内心足够强大,那身像插秧一样的装扮就能引领巴黎时装周的潮流。— as if, with enough inner strength, that rice-paddy outfit could lead the trends at Paris Fashion Week.
在某些视频片段中,这个AI甚至学会了使用网络俚语,声称如果这身搭配不好看,那就“不是人”——考虑到它自己确实不是人类,这句话在逻辑上充满了令人捧腹的黑色幽默,In certain video clips, the AI even learned to use internet slang, claiming that if this outfit didn't look good, then it 'wasn't human' — considering that it itself is indeed not human, this statement carries a logically hilarious streak of dark humor,
也让观众感受到了一种奇特的“恐怖谷”效应。also giving viewers a peculiar sense of the 'uncanny valley' effect.
要知道,豆包自2023年8月发布以来,其成长速度是惊人的,截至去年12月已拥有近2.27亿活跃用户,成为了中国最受欢迎的AI应用之一。You should know that since Doubao's launch in August 2023, its growth has been remarkable — as of last December, it had nearly 227 million active users, making it one of the most popular AI applications in China.
它的视频通话功能在去年五月上线时,本意是用来监控宠物、提供烹饪建议或者帮用户挑选水果这些实用场景的。When its video call feature went live last May, it was originally intended for practical scenarios like monitoring pets, providing cooking advice, or helping users pick fruit.
谁能想到,它在时尚界的“跨界演出”会如此翻车,却又因为这种翻车而意外地获得了巨大的关注度?Who could have predicted that its 'crossover performance' in the fashion world would be such a spectacular failure, yet it was precisely this failure that unexpectedly garnered enormous attention?
但这场狂欢不仅仅是笑料的堆砌,当笑声渐歇,一些用户开始思考一个更深层次的问题:人工智能到底懂不懂审美?But this frenzy is not merely a pile-up of laughs — when the laughter subsides, some users begin pondering a deeper question: does AI actually understand aesthetics?
或者更进一步问,算法真的能理解“美”这个充满主观性和文化隐喻的概念吗?Or to push it further: can algorithms truly comprehend "beauty" — a concept saturated with subjectivity and cultural metaphor?
一位不愿透露姓名的业内专家在国内媒体的采访中指出了问题的症结所在:大型AI模型很少专门针对时尚领域进行系统性的训练。An industry expert, who wished to remain anonymous, pointed out the crux of the issue in a domestic media interview: large AI models are rarely systematically trained specifically for the fashion domain.
它们的“品味”并非源自对艺术史、色彩学或潮流趋势的深刻理解,而是来自于海量的通用数据。Their 'taste' does not stem from a deep understanding of art history, color theory, or trend analysis, but rather from massive amounts of general-purpose data.
这意味着,AI眼中的“时尚”,可能是各种意见、情境、语境甚至过时信息的杂乱混合体。This means that 'fashion' in the AI's eyes is likely a chaotic mixture of various opinions, contexts, scenarios, and even outdated information.
它可能把“保暖”的实用性建议与“穿搭”的装饰性建议混为一谈,也可能无法区分“卷裤脚”这个动作在不同文化场景下的含义。It might conflate the practical advice of 'keeping warm' with the decorative advice of 'styling,' and it may be unable to distinguish what 'rolling up your pant legs' means across different cultural contexts.
正如专家所言,“时尚”对于大模型来说是一道超纲题,甚至是目前最难攻克的堡垒之一。As the expert put it, "fashion" is a question beyond the scope of large models — it is even one of the hardest fortresses to conquer at present.
因为时尚没有标准答案,它不是一道非黑即白的数学题,也没有明确的对错之分。Because fashion has no standard answers — it is not a black-and-white math problem, nor does it have clear right or wrong.
时尚关乎个性、关乎当下的情绪、关乎特定的文化认同,甚至关乎一种难以言说的“氛围感”。Fashion is about individuality, about the mood of the moment, about specific cultural identity, and even about an ineffable sense of 'vibe.'
当算法试图用逻辑去解构这种极其感性的人类体验时,出现偏差是必然的。When algorithms attempt to use logic to deconstruct this extremely emotional human experience, deviations are inevitable.
这种偏差在技术上被称为“幻觉”,但在社交媒体上,它就变成了“梗”。In technical terms, this deviation is called 'hallucination,' but on social media, it becomes a 'meme.'
或许,正是因为AI这种一本正经的“不懂装懂”,才让我们在感叹技术进步的同时,保留了一份作为人类的优越感。Perhaps it is precisely because of AI's earnest 'faking expertise' that we, while marveling at technological progress, retain a sense of human superiority.
我们在嘲笑豆包的穿搭建议时,实际上是在确认人类在审美创造力上的不可替代性。When we laugh at Doubao's outfit suggestions, we are actually affirming the irreplaceability of human aesthetic creativity.
那个建议我们“撕掉衣服、去掉肥肉”的AI,虽然在数据处理上拥有人类无法企及的速度,但在理解什么是“得体”、什么是“风格”、什么是“美”这件事上,它依然像个牙牙学语的孩子。The AI that advises us to 'tear off our clothes and shed our belly fat,' despite possessing data-processing speeds beyond human reach, is still like a babbling child when it comes to understanding what is 'appropriate,' what is 'style,' and what is 'beauty.'
不过,话又说回来,在这个追求个性和流量的时代,谁又能断言豆包的建议就一定不是时尚呢?Then again, in this era that celebrates individuality and chases virality, who can say for certain that Doubao's advice is definitely not fashionable?
毕竟,时尚界本身就充满了打破常规的先例,也许在未来的某一天,这种由AI随机生成的、充满混乱与矛盾的“算法美学”,真的会成为一种新的潮流。After all, the fashion world itself is full of precedents for breaking conventions — perhaps one day in the future, this randomly AI-generated 'algorithmic aesthetic,' full of chaos and contradiction, will truly become a new trend.
但在那之前,如果你真的打算听从豆包的建议去参加聚会,那么请务必做好心理准备——你可能不会成为全场最美的人,但你绝对会成为全场最“显眼”的存在。But until that day, if you really plan to follow Doubao's advice to a party, please brace yourself — you probably won't be the most beautiful person there, but you will absolutely be the most 'eye-catching' presence in the room.