Ask HN: Does anyone else feel like nothing matters anymore?
Ask HN: Does anyone else feel like nothing matters anymore?
Ask HN：还有人觉得一切都变得毫无意义了吗？
New software releases? Who cares. Learning new CS concepts? Whatever. Studying for the next interview? Job probably won’t even exist in a year. Working on that side project? No one will care because it’s just another addition to the mountain of slop, and the guy bagging your groceries can do it. Everything is done and cooked with AI now. 新软件发布了？谁在乎呢。学习新的计算机科学概念？随便吧。为下一场面试做准备？那份工作一年后可能都不存在了。做那个副业项目？没人会关心，因为它只是又一堆垃圾的堆砌，连超市打包员都能做。现在一切都被 AI 搞定并“烹饪”好了。
It’s exactly like that feeling once you enable cheats in a game; sure you can do anything, but everything is meaningless now. Our entire purpose and joy in life has been taken from us. 这感觉就像在游戏里开启了作弊码；没错，你可以做任何事，但一切都变得毫无意义。我们生活中所有的目标和乐趣都被剥夺了。
bm3719: Corollary to your complaints: Another downside that I haven’t seen on anyone’s AI hatelist yet is that it crowds out all other discussion. What happened to everyone talking about languages, protocols, algorithms, architecture, etc.? We can’t have those conversations anymore because we’re not even sure they matter now. In fact, we probably suspect they don’t, hence the not bothering. bm3719： 对你抱怨的补充：我还没在任何人的“AI 厌恶清单”上看到另一个负面影响，那就是它挤占了所有其他的讨论空间。大家都去哪儿了？那些讨论语言、协议、算法、架构的人呢？我们再也无法进行这些对话了，因为我们甚至不确定它们现在是否还有意义。事实上，我们可能怀疑它们已经没意义了，所以干脆懒得讨论。
Also, anything we do write will just get immediately slurped into AI embeddings, anonymizing it and detaching it from its human source, at most nudging some corner of its vectorized slurry. Maybe someone will ask a question that our content influences, but if that user bothers to thank anyone, he’ll thank Claude. Perhaps this is what it feels like to be fully commoditized, fully alienated from one’s labor. 此外，我们写的任何东西都会立即被吸入 AI 的嵌入模型中，将其匿名化并与人类源头剥离，最多只是对其向量化泥潭的某个角落产生一点点影响。也许有人会问一个受我们内容影响的问题，但如果那个用户愿意感谢谁，他感谢的也是 Claude。也许这就是被完全商品化、与自己的劳动完全异化的感觉。
Nathanba: Yes I’ve noticed that too. It seems accomplishments in general have been devalued, it’s not specific to languages, protocols, algorithms or architecture. If I have some idea at work, I feel like even that receives less recognition now because of AI. AI has ideas too, what does it matter? Sure, your idea could be good. But we are already drowning in ideas from AIs, everytime you prompt an AI it will tell you dozens of ideas on what you could improve. Who can say which one matters, does any of it really matter anymore? Why care about things that are effortless? That’s the impression I get in regards to how people think now. Nathanba： 是的，我也注意到了。似乎成就感普遍被贬值了，这不仅仅局限于语言、协议、算法或架构。如果我在工作中有一个想法，我觉得它现在受到的认可也变少了，因为有 AI。AI 也有想法，那又有什么关系呢？当然，你的想法可能很好。但我们已经被 AI 提供的想法淹没了，每次你向 AI 发出提示，它都会告诉你几十个改进建议。谁能说哪个才重要？这一切真的还有意义吗？为什么要关心那些轻而易举就能得到的东西？这就是我对现在人们思维方式的印象。
preg_match: Languages is the biggest bummer to me. It’s great the LLMs make languages less relevant, rewrite cheaper, etc. But I love languages and language design. It’s sad to think that we’re converging on the most common languages in training data, without considering the developer ergonomics and semantics. But, it’s been happening for decades, LLMs just put it into maximum overdrive. preg_match： 编程语言对我来说是最令人沮丧的部分。LLM 让语言变得不那么重要、重写成本更低等，这固然很好。但我热爱语言和语言设计。想到我们正在向训练数据中最常见的语言趋同，而不考虑开发者的工程体验和语义，这很可悲。但这几十年来一直在发生，LLM 只是让这个过程进入了极速模式。
add-sub-mul-div: To go along with that, it’s also crowding out a whole generation’s worth of labor and innovation. We’re not curing cancer, we’re churning out TPS reports faster and drowning in Show HN shovelware. add-sub-mul-div： 随之而来的是，它也在挤占整整一代人的劳动和创新。我们没有在攻克癌症，我们只是在更快地炮制无用的报告，并淹没在 Show HN 的垃圾软件中。
AznHisoka: To be fair, i dont think there is a huge overlap in the people who can cure cancer and the people vomiting out Show HN projects. AznHisoka： 公平地说，我不认为那些能攻克癌症的人和那些疯狂输出 Show HN 项目的人之间有很大的重叠。
Eddy_Viscosity2: The overlap comes from the cancer-curing-capable people also drowning in AI slop and people using AI to flood the space with ideas on how to solve cancer and funders wanting to see people using AI because they think it will solve cancer, etc. It affects everybody. Eddy_Viscosity2： 重叠之处在于，那些有能力攻克癌症的人也正淹没在 AI 的垃圾信息中，人们利用 AI 用各种关于如何解决癌症的想法充斥空间，而资助者因为认为 AI 能解决癌症，所以希望看到人们使用 AI 等等。这影响了每一个人。
mmcnl: Why are we not curing cancer? We should. mmcnl： 为什么我们不去攻克癌症？我们应该去做的。
xtracto: We need to start talking about real Software Engineering concepts. The stuff we will write to guide agents to build our software. We will be building architectural blueprints for software “buildings” same as Civic Engineers and Architects do for bridges and towers. xtracto： 我们需要开始讨论真正的软件工程概念。即我们用来指导 AI 代理构建软件的内容。我们将为软件“建筑”构建架构蓝图，就像土木工程师和建筑师为桥梁和塔楼所做的那样。
aryehof: > We will be building architectural blueprints for software “buildings” same as Civic Engineers and Architects do for bridges and towers. If only we knew how. All we seem to know formally given popular discourse is languages, frameworks, tools, protocols and algorithms. Thinking about how to move beyond functional decomposition and structured design to enable those “blueprints” isn’t even on the agenda? aryehof： > 我们将为软件“建筑”构建架构蓝图，就像土木工程师和建筑师为桥梁和塔楼所做的那样。要是我们知道怎么做就好了。从大众讨论来看，我们似乎只知道语言、框架、工具、协议和算法。思考如何超越功能分解和结构化设计来实现那些“蓝图”，甚至都不在议程上吗？
rbtms: I don’t think it speaks well of Software Engineers the will to delegate the construction of blueprints to unreliable workers. Architects and Civil Engineers know that licensed, professional people that have experience and know-how will execute it in a nearly flawless way. Compared to that, agents might hallucinate, build something completely different to the intended project or leave subtle bugs behind that, in the case of complex systems, the humans in charge will probably not even notice. rbtms： 我认为软件工程师想要将蓝图构建工作委托给不可靠的“工人”（AI）并不是什么好事。建筑师和土木工程师知道，拥有经验和专业知识的持证专业人员会以近乎完美的方式执行任务。相比之下，AI 代理可能会产生幻觉，构建出与预期项目完全不同的东西，或者留下难以察觉的 Bug，在复杂系统中，负责的人类甚至可能根本发现不了。
benhurmarcel: You underestimate the amount of detailed tedious work that is done in those fields. It’s far from being all about architectural blueprints. benhurmarcel： 你低估了这些领域中繁琐细节工作的量。这远不止是架构蓝图那么简单。
calvinmorrison: why write programming languages if LLMs are fast enough to talk plaintext everything to eachother with perfect memory calvinmorrison： 如果 LLM 速度足够快，能够以完美的记忆力互相交流纯文本，那为什么还要写编程语言呢？
throw-the-towel: Why go see Rome when you can google up some photos? Why climb Mt Everest? Why have your own sex when there’s so much porn? The answer is going to be the same it’s always been: because we fucking can. throw-the-towel： 既然可以谷歌搜索照片，为什么还要去罗马？为什么要爬珠穆朗玛峰？既然有那么多色情片，为什么还要自己做爱？答案和过去一样：因为我们他妈的能做到。
piloto_ciego: This is totally how I’m feeling right now. This stuff has empowered me to finish the BS I don’t want to do rapidly then do other cool stuff I want to do. piloto_ciego： 这完全是我现在的感受。这些东西让我能够快速完成我不想做的烂事，然后去做我想做的其他酷事。
throw-the-towel: This is true too! I have ADHD-like executive problems, and sometimes doing the boring but necessary stuff is so painful I abandon the project entirely. Now, though? I entrust it to the agent, and even if it’s slop it’s still done, and this… throw-the-towel： 这也是真的！我有类似 ADHD 的执行力问题，有时做那些无聊但必要的事情太痛苦了，以至于我完全放弃了项目。但现在呢？我把它交给 AI 代理，即使是垃圾，它也完成了，而且这……