{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"生成式人工智能是一场工程灾难：AI公司抢购70%高端内存，推高电脑价格","description":"AI公司为维持大语言模型（如ChatGPT、Claude）运行，可能已购买全球70%的高端计算机内存，导致内存与存储价格飙升：两年前350美元的硬盘现已涨至800美元且缺货，部分笔记本电脑涨价50%。科技公司计划未来几年将美国数据中心容量扩大8倍，部分站点甚至用喷气发动机供电。预测称，平价入门级电脑可能在2028年前消失，内存短缺预计持续数年。","url":"https://www.aioga.com/news/cmro8l78w00j5bitou01qowy4/","mainEntityOfPage":"https://www.aioga.com/news/cmro8l78w00j5bitou01qowy4/","datePublished":"2026-07-17T00:40:20.333Z","dateModified":"2026-07-17T00:40:20.333Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901","https://aihot.virxact.com/items/cmro8l78w00j5bitou01qowy4"],"canonicalUrl":"https://www.aioga.com/news/cmro8l78w00j5bitou01qowy4/","directAnswer":{"@type":"Answer","text":"文章称，生成式AI系统资源消耗巨大，科技公司可能采购全球70%的高端计算机内存，并伴随内存、存储及部分笔记本价格上涨。文中还引述预测称，内存短缺或持续数年，平价入门电脑可能在2028年前消失。","url":"https://www.aioga.com/news/cmro8l78w00j5bitou01qowy4/","dateCreated":"2026-07-17T00:40:20.333Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"theatlantic.com source article","url":"https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901","datePublished":"2026-07-17T00:40:20.333Z","provider":{"@type":"Organization","name":"theatlantic.com","url":"https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmro8l78w00j5bitou01qowy4","datePublished":"2026-07-17T00:40:20.333Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmro8l78w00j5bitou01qowy4"}}],"aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","originalPublisher":{"name":"theatlantic.com","url":"https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901"},"article":{"id":"cmro8l78w00j5bitou01qowy4","slug":"cmro8l78w00j5bitou01qowy4","url":"https://www.aioga.com/news/cmro8l78w00j5bitou01qowy4/","title":"生成式人工智能是一场工程灾难：AI公司抢购70%高端内存，推高电脑价格","title_en":"生成式人工智能是一场工程灾难","summary":"AI公司为维持大语言模型（如ChatGPT、Claude）运行，可能已购买全球70%的高端计算机内存，导致内存与存储价格飙升：两年前350美元的硬盘现已涨至800美元且缺货，部分笔记本电脑涨价50%。科技公司计划未来几年将美国数据中心容量扩大8倍，部分站点甚至用喷气发动机供电。预测称，平价入门级电脑可能在2028年前消失，内存短缺预计持续数年。","source":"Hacker News 热门（buzzing.cc 中文翻译）","sourceUrl":"https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901","aiHotUrl":"https://aihot.virxact.com/items/cmro8l78w00j5bitou01qowy4","publishedAt":"2026-07-17T00:40:20.333Z","category":"技巧观点","score":71,"selected":true,"articleBody":["A shockingly inefficient trillion-dollar project","Editor’s note: This work is part of AI Watchdog ：https://www.theatlantic.com/category/ai-watchdog/ , The Atlantic ’ s ongoing investigation into the generative-AI industry.","As they scramble to keep their systems online, AI companies are making things expensive for the rest of us. Large language models such as ChatGPT and Claude are so resource-hungry that tech companies may be purchasing 70 percent of the world’s supply of high-end computer memory, causing a shortage. As a result, the prices of computer memory and storage are skyrocketing: Hard drives that I bought for my reporting two years ago for $350 each were $800 when I checked two weeks ago, and are now out of stock. The prices of some laptops have gone up as much as 50 percent, and low-cost computers are being hit the hardest. Affordable entry-level computers may “disappear by 2028” according to one forecast. And the memory shortage is expected to continue for years.","The memory is being put into data centers, which tech firms are expanding at incredible speed. They are planning to multiply total U.S.-data-center capacity by a factor of eight over the next few years. The demand for electricity at these sites is already so great that some companies are repurposing jet engines：https://news.constructconnect.com/from-plane-power-to-power-grid-repurposing-jet-engines-for-data-centers to power them.","The problem is not simply that AI is being deployed so widely or quickly. Other computer technologies have seen similarly massive growth without triggering such a large spike in electricity or a shortage of computer components: Video and music are now streamed around the globe, accounting for many terabytes of internet traffic daily; the smartphone boom required the manufacturing of billions of devices that are now transferring huge amounts of data; billions of household devices are also now part of the Internet of Things; and whole industries have moved their operations to cloud software, which is hosted not in the sky but in, yes, data centers.","Read: The $10,000 MacBook Pro is here：https://www.theatlantic.com/technology/2026/07/apple-prices-macbook-memory-shortage/687781/","The problem with generative AI, in the industry’s own jargon, is that it does not scale. The cost of growing from, say, a thousand users to a million is a key factor that venture capitalists examine when they evaluate start-ups. They want to see that the cost of adding each new user decreases over time, so that the company can support millions of users and make increasing profits. This is achieved partly through the careful engineering of computer systems that can efficiently handle more users who want to post photos, hail Ubers, or stream music.","With generative AI, the work of building efficient, scalable systems has not been done. And the problem is exacerbated by the ever-larger generative-AI models, which have grown from 175 billion parameters in 2020 to more than 1 trillion today, according to independent estimates (the actual sizes of the models powering products such as Claude and ChatGPT are secret). The large in large language model should not be a selling point. But the industry’s observation that bigger models tend to outperform smaller ones has given rise to a totemic belief in “scaling laws” that suggest any problem can be solved by simply making models bigger. “Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer,” OpenAI CEO Sam Altman wrote：https://blog.samaltman.com/abundant-intelligence on his blog in September.","Yet the returns are diminishing. The bigger an AI model is, the less it improves with each added parameter, and so it must be made bigger at a faster rate just to sustain steady progress. I asked a few AI researchers whether they could name any other real-world software that scales so poorly. None of them could think of any. Even outside the world of software, it’s hard to find a comparable example, given that economy of scale is the principle that has made light bulbs, cars, and clothing so affordable. By economic and engineering measures, generative AI might be the worst technology ever deployed.","Read: Welcome to a multidimensional economic disaster：https://www.theatlantic.com/technology/2026/03/ai-boom-polycrisis/686559/","But with the massive investment behind the current bloated approach, there may not be much will to change. Ilya Sutskever, a co-founder and former chief scientist at OpenAI, said：https://youtu.be/aR20FWCCjAs?t=1155 in a November interview that companies take the brute-force approach “because it gives you a very low-risk way of investing your resources.” It’s harder, he argued, to invest in research that would reengineer a product currently accruing trillion-dollar valuations. Those who suspect we are in an AI-driven bubble：https://www.theatlantic.com/technology/2026/03/ai-boom-polycrisis/686559/ economy have pointed out that the profitability of these companies remains an open question, largely because of the high cost and inefficiency of the technology.","Efficiency is a core principle of computer science. One of the first things undergraduates learn is that writing a program that sorts a list of 50 words is easy. But if you give that program 50 million words, it will likely run out of memory or take hours to finish. Much of computer science is learning the clever coding techniques that prevent this from happening. Many of these techniques take advantage of repeating patterns in the data so that as the program receives more input, it takes less time or memory to process each additional bit. Such efficiency is one reason that modern smartphones and computers are so capable and affordable. This is called logarithmic scaling, and it looks like this when you graph it:","Large language models do not scale logarithmically. When they’re given more words to process, they get slower and use more memory—the time and resources increase faster as the input grows. In technical terms, LLMs scale quadratically. Any computer-science student knows that this is very bad.","Epoch AI, an organization that tries to determine the costs of operating AI models, published a graph：https://epoch.ai/publications/inference-economics-of-language-models last year, which is reproduced here with permission. It shows the exponentially increasing costs of serving more “tokens”—the words users type to chatbots—with several public AI models.","AI does not have to be built this way. Traditionally, the goal of AI was to solve problems in ways that simulated human mental processes. Researchers observed their own thinking and tried to implement their mental habits in code. This approach has mostly been abandoned, partly due to the difficulty of discerning and articulating the rules of human thought, but it did have the benefit of consuming far fewer resources and data.","Today’s approach to AI doesn’t try to describe the rules of human thought; instead, it gives a computer millions of examples to imitate. The huge quantity of examples is one reason that large models can perform better than small ones when generating language, images, and music—they have more material to draw from. Some researchers want to bring back the old, more efficient approach and combine it with the modern approach, but so far these projects have not drawn nearly as much attention or funding as the models that power chatbots.","Chatbot companies are aware that their products are inefficient. Some have found techniques for improvin g performance, but they have not yielded significant gains. Occasionally, companies claim to have made breakthroughs—Anthropic CEO Dario Amodei has called them：https://darioamodei.com/post/on-deepseek-and-export-controls “compute multipliers”—but they are usually described in vague terms, and there is no evidence that the basic problems of quadratic scaling and exploding model size have been overcome. (Anthropic declined to comment on the record when I reached out to ask about this.)","Some researchers are working on extremely small models that require fewer data and less computing power. I spoke with Alexia Jolicoeur-Martineau, an AI researcher at Microsoft who independently designed one of these, and asked her about the industry’s brute-force approach. “It’s a bit insane,” she told me. “At some point you have to learn to be a bit more efficient.”","Last year, Jolicoeur-Martineau won a $50,000 prize：https://arcprize.org/competitions/2025 for her paper on a “tiny recursive model” that doesn’t consume huge quantities of computing resources. “The idea that one must rely on massive foundational models trained for millions of dollars by some big corporation in order to achieve success on hard tasks is a trap,” she wrote：https://github.com/SamsungSAILMontreal/TinyRecursiveModels. Her model isn’t a substitute for an LLM—it’s designed to solve logic problems in fields such as biology and electrical engineering, rather than generate language—but it can do some of the tasks that much larger AI models are currently being used for.","Yet we seem stuck with LLMs, perhaps because they have been so aggressively marketed. They are now being added to everything, whether you want them or not. In 2024 and 2025, they were integrated into both Windows and MacOS, which means that more computing power is now needed to run a basic personal computer. Smartphones are also being sold with upgraded hardware as companies anticipate new AI features. Inefficient AI is also being added to common programs such as Adobe Photoshop and Microsoft Word, meaning that computers need to be more powerful to run this software.","Ted Chiang: No, artificial intelligence is not conscious：https://www.theatlantic.com/philosophy/2026/06/no-artificial-intelligence-is-not-conscious/687378/","This is all especially bad because computers are no longer improving at the rate they used to. Since the 1950s, manufacturers have learned to make microchips steadily faster, smaller, and cheaper, a trend known colloquially as Moore’s Law. But in the past few years, components have gotten so small that manufacturers have run into molecular-level limitations on shrinking them any further, which has slowed progress：https://www.eetimes.com/the-impact-of-the-end-of-moores-law-on-the-ai-gold-rush/ significantly.","Instead of shrinking components, manufacturers have been focused on developing new hardware that is tailored to AI. This has provided occasional incremental improvements in performance, but none has come close to keeping up with the exponential curve of AI’s increasing demands."],"articleImages":[{"sourceUrl":"https://cdn.theatlantic.com/thumbor/0W8WIn1jsk0of17kJHC9notd6NU=/0x0:2000x1125/1952x1098/media/img/mt/2026/07/2026_07_10_Reisner_Gen_Ai_Engineering_Disaster/original.jpg","alt":"construction of a data center","afterParagraph":0,"url":"/media/articles/cmro8l78w00j5bitou01qowy4/0ca607ec0c9d4f1d.avif"},{"sourceUrl":"https://cdn.theatlantic.com/thumbor/KzaU7uwl_PjxKkWKWxzb3vIBLUc=/445x0:1570x1125/512x512/media/img/mt/2026/07/2026_07_10_Reisner_Gen_Ai_Engineering_Disaster/original.jpg","alt":"construction of a data center","afterParagraph":0,"url":"/media/articles/cmro8l78w00j5bitou01qowy4/96a7e5427ea3bda3.avif"},{"sourceUrl":"https://cdn.theatlantic.com/thumbor/sgM16ho3ABaXESNn2hcvdgH7l5c=/1330x1136/media/img/posts/2026/07/graph_1_final_02/original.png","alt":"graph showing what tech companies want to see when they scale","afterParagraph":11,"url":"/media/articles/cmro8l78w00j5bitou01qowy4/6e73c116a5e25b43.avif"},{"sourceUrl":"https://cdn.theatlantic.com/thumbor/gK7yICJSjXj1wCPMAZ626n0_7xQ=/1330x1496/media/img/posts/2026/07/graph_1_final_01_latest/original.png","alt":"graph showing what AI companies are actually seeing as they scale LLMs","afterParagraph":13,"url":"/media/articles/cmro8l78w00j5bitou01qowy4/1a31b3b47236ca7f.avif"}],"mediaStatus":"ok","articleBodyZh":["一个令人震惊的低效万亿美元项目","编辑注：此作品是《AI 监控者》的部分内容：https://www.theatlantic.com/category/ai-watchdog/，《大西洋月刊》对生成式 AI 行业正在进行的持续调查。","随着他们忙于保持系统在线，AI 公司正让我们其他人的成本变得昂贵。像 ChatGPT 和 Claude 这样的大型语言模型需求如此庞大，以至于科技公司可能正在购买全球 70% 的高端计算机内存，导致短缺。因此，计算机内存和存储的价格正在飙升：我两年前为报道购买的每个硬盘是 350 美元，两周前查看时已经涨到 800 美元，现在已无库存。一些笔记本电脑的价格上涨了多达 50%，而低成本计算机受打击最严重。根据一份预测，可负担的入门级计算机可能“到 2028 年消失”。而内存短缺预计还将持续数年。","这些内存被投入到数据中心，科技公司正以惊人的速度扩展它们。他们计划在接下来的几年里将美国数据中心的总容量增加八倍。这些站点的电力需求已经如此之大，以至于一些公司正在重新利用喷气发动机：https://news.constructconnect.com/from-plane-power-to-power-grid-repurposing-jet-engines-for-data-centers 来为其供电。","问题不仅仅是 AI 部署得如此广泛或快速。其他计算机技术也经历过类似的大规模增长，却没有引发如此大的电力激增或计算机组件短缺：视频和音乐现在在全球范围内流媒体播放，每天产生大量 TB 的互联网流量；智能手机热潮需要制造数十亿设备，而这些设备现在正传输大量数据；数十亿家庭设备现在也是物联网的一部分；整个行业也已将其运营转移到云软件，而这些软件并不在空中运行，而是，没错，在数据中心中托管。","阅读：《一万美金的 MacBook Pro 来了》：https://www.theatlantic.com/technology/2026/07/apple-prices-macbook-memory-shortage/687781/","生成式人工智能的问题，用行业自身的行话来说，是它无法扩展。从一千用户增长到一百万用户的成本，是风险投资家在评估初创公司时关注的关键因素。他们希望看到每增加一个新用户的成本随时间下降，这样公司才能支持数百万用户并实现不断增长的利润。这部分可以通过精心设计的计算机系统来实现，这些系统能够高效处理更多想要发布照片、叫车或流媒体音乐的用户。","对于生成式人工智能来说，构建高效、可扩展系统的工作尚未完成。而且问题被日益增大的生成式 AI 模型所加剧，据独立估计，这些模型从 2020 年的 1750 亿参数增长到如今超过 1 万亿参数（支持 Claude 和 ChatGPT 等产品的实际模型规模是保密的）。大语言模型中的“大”不应成为卖点。但业界观察到更大的模型往往表现优于较小的模型，这引发了一种图腾式信念——“规模法则”，认为通过简单地将模型做大就可以解决任何问题。OpenAI 首席执行官 Sam Altman 在他九月份的博客中写道：https://blog.samaltman.com/abundant-intelligence “也许有了 10 吉瓦的计算能力，人工智能就能找出治愈癌症的方法。”","然而，回报呈递减趋势。人工智能模型越大，每增加一个参数的提升就越小，因此为了保持稳定进步，模型必须以更快的速度变大。我问了几位 AI 研究人员，他们是否能举出其他现实世界的软件也扩展得如此差。他们都想不出任何例子。即便在软件之外，也很难找到可比的例子，因为规模经济正是使电灯、汽车和服装如此廉价的原则。从经济学和工程学的角度来看，生成式人工智能可能是迄今为止部署的最糟糕的技术。","阅读：欢迎来到多维经济灾难：https://www.theatlantic.com/technology/2026/03/ai-boom-polycrisis/686559/","但鉴于目前这种膨胀方法背后的巨额投资，可能并没有太大的意愿去改变。OpenAI 的联合创始人兼前首席科学家 Ilya Sutskever 在 11 月的一次采访中说：https://youtu.be/aR20FWCCjAs?t=1155，公司采用蛮力方法“因为它为资源投资提供了一种风险非常低的方式”。他认为，投资于重新设计一款目前估值达到万亿美元的产品的研究会更困难。那些怀疑我们正处于 AI 驱动的泡沫经济的人：https://www.theatlantic.com/technology/2026/03/ai-boom-polycrisis/686559/ 指出，这些公司的盈利能力仍是一个悬而未决的问题，很大程度上是因为技术成本高且效率低下。","效率是计算机科学的核心原则。大学本科生学到的第一件事之一就是，编写一个可以排序 50 个单词的程序很容易。但是，如果你给这个程序 5000 万个单词，它很可能会耗尽内存或需要几个小时才能完成。计算机科学的大部分内容就是学习防止这种情况发生的巧妙编码技巧。许多这些技巧利用数据中的重复模式，使得当程序接收更多输入时，处理每一额外数据所需的时间或内存减少。这种效率是现代智能手机和电脑如此强大且价格实惠的原因之一。这称为对数级别扩展，在图表上看起来是这样的：","大型语言模型不会按对数级别扩展。当它们需要处理更多单词时，速度会变慢，使用的内存也会增加——随着输入增加，时间和资源消耗增加得更快。从技术角度来说，LLM 的扩展是二次的。任何计算机科学的学生都知道，这是非常糟糕的。","Epoch AI 是一个试图确定 AI 模型运行成本的组织，他们去年发布了一张图表：https://epoch.ai/publications/inference-economics-of-language-models，经许可在此重现。图中展示了为更多“标记”——用户输入给聊天机器人的单词——提供服务时，各种公共 AI 模型成本呈指数增长。","人工智能不必以这种方式构建。传统上，人工智能的目标是以模拟人类思维过程的方式解决问题。研究人员观察自己的思维，并试图将他们的思维习惯实现到代码中。这种方法大多已被放弃，部分原因是很难辨别和明确人类思维的规则，但它确实有一个好处，那就是消耗的资源和数据要少得多。","如今的人工智能方法并不尝试描述人类思维的规则；相反，它给计算机提供数百万个例子以便模仿。海量的例子是大型模型在生成语言、图像和音乐时优于小型模型的原因之一——它们有更多的素材可以借鉴。一些研究人员希望将旧的、更高效的方法与现代方法结合起来，但到目前为止，这些项目几乎没有引起像驱动聊天机器人的模型那样的注意或获得同等的资金支持。","聊天机器人公司都意识到他们的产品效率低下。一些公司找到了提高性能的技术，但尚未带来显著提升。偶尔有公司声称取得了突破——Anthropic 的首席执行官达里奥·阿莫迪将它们称为：https://darioamodei.com/post/on-deepseek-and-export-controls “计算倍增器”——但它们通常以模糊的术语描述，并且没有证据表明二次增长和模型大小爆炸的基本问题已被解决。（当我联系 Anthropic 询问此事时，他们拒绝在记录中发表评论。）","一些研究人员正在研究极小的模型，这类模型需要更少的数据和计算能力。我与微软的人工智能研究员 Alexia Jolicoeur-Martineau 交谈过，她独立设计了其中一个模型，并问她对行业的暴力式方法的看法。她告诉我：“这有点疯狂。在某个时候，你必须学会更高效一些。”","去年，Jolicoeur-Martineau 因她关于“微型递归模型”的论文获得了 50,000 美元的奖金：https://arcprize.org/competitions/2025，该模型不消耗大量计算资源。“认为必须依赖某些大公司以数百万美元训练的大型基础模型，才能在困难任务中取得成功，这是一种陷阱，”她写道：https://github.com/SamsungSAILMontreal/TinyRecursiveModels。她的模型并不是大语言模型的替代品——它被设计用于解决生物学和电气工程等领域的逻辑问题，而不是生成语言——但它可以执行一些目前更大型 AI 模型正在使用的任务。","然而我们似乎被大语言模型困住了，也许是因为它们被如此强烈地推销。无论你是否需要，它们现在都被添加到各种事物中。在 2024 年和 2025 年，它们被集成到 Windows 和 MacOS 中，这意味着运行一台基本的个人电脑现在需要更多的计算能力。智能手机也随着公司预期新的 AI 功能而配备了升级硬件。低效的 AI 也被添加到常用程序如 Adobe Photoshop 和 Microsoft Word 中，这意味着电脑需要更强大的性能才能运行这些软件。","Ted Chiang：不，人工智能不是有意识的：https://www.theatlantic.com/philosophy/2026/06/no-artificial-intelligence-is-not-conscious/687378/","这一切尤其糟糕，因为计算机的性能不再像以前那样快速提升。自 1950 年代以来，制造商已经学会了稳步制造更快、更小、更便宜的微芯片，这一趋势在俗称上被称为摩尔定律。但在过去几年，组件变得如此微小，以至于制造商在进一步缩小它们时遇到了分子级的限制，这显著减缓了进展：https://www.eetimes.com/the-impact-of-the-end-of-moores-law-on-the-ai-gold-rush/","制造商并没有继续缩小组件，而是专注于开发专门针对 AI 的新硬件。这虽提供了偶尔的渐进式性能提升，但没有哪一种能够接近追上 AI 日益增长需求的指数曲线。"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"文章称，生成式AI系统资源消耗巨大，科技公司可能采购全球70%的高端计算机内存，并伴随内存、存储及部分笔记本价格上涨。文中还引述预测称，内存短缺或持续数年，平价入门电脑可能在2028年前消失。","background":"材料将供需压力与数据中心扩张并列讨论：科技公司计划未来几年把美国数据中心总容量扩大至当前的8倍，部分公司正改用喷气发动机为站点供电。文章同时认为，生成式AI尚未完成高效、可扩展系统的工程建设。","viewpoint":"Aioga 判断，文章的核心批评不是AI应用增长本身，而是模型规模、运行成本与基础设施效率之间尚未形成可持续平衡。值得关注的是，70%采购占比使用了“可能”表述，产品所用模型的实际规模也仍属保密信息。","implications":"Aioga 判断，如果材料所述短缺和扩容趋势延续，消费级电脑价格与供应可能继续承压，低价产品受到的影响或更明显；数据中心的电力需求也可能成为行业扩张的重要约束。但材料不足以证明所有涨价均由生成式AI单独造成。","nextStep":"后续应关注高端内存的实际采购份额、存储与笔记本价格变化、美国数据中心扩容进度，以及内存短缺持续时间。还应区分文章中的实测价格、第三方预测和作者判断，避免把可能性表述改写为确定结论。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-23T00:08:51.289Z","sourceHash":"806fd87d3a35bf11","review":{"approved":true,"groundedness":96,"clarity":92,"duplicationRisk":18,"blockingIssues":[],"notes":["候选内容准确保留了“可能采购70%”以及模型实际规模保密等不确定性限定。","“改用喷气发动机为站点供电”可更精确地表述为“将喷气发动机改造用于数据中心供电”，以避免被理解为完全替代原有电源，但不构成阻断问题。","对价格与供应影响的推论明确标注为“Aioga 判断”并使用条件式表述，同时指出材料无法证明所有涨价均由生成式AI单独造成。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","Hacker News 热门（buzzing.cc 中文翻译）"],"translations":{"zh-CN":{"title":"生成式人工智能是一场工程灾难：AI公司抢购70%高端内存，推高电脑价格","summary":"AI公司为维持大语言模型（如ChatGPT、Claude）运行，可能已购买全球70%的高端计算机内存，导致内存与存储价格飙升：两年前350美元的硬盘现已涨至800美元且缺货，部分笔记本电脑涨价50%。科技公司计划未来几年将美国数据中心容量扩大8倍，部分站点甚至用喷气发动机供电。预测称，平价入门级电脑可能在2028年前消失，内存短缺预计持续数年。","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"生成式人工智能是一场工程灾难：AI公司抢购70%高端内存，推高电脑价格 - Aioga AI资讯","description":"AI公司为维持大语言模型（如ChatGPT、Claude）运行，可能已购买全球70%的高端计算机内存，导致内存与存储价格飙升：两年前350美元的硬盘现已涨至800美元且缺货，部分笔记本电脑涨价50%。科技公司计划未来几年将美国数据中心容量扩大8倍，部分站点甚至用喷气发动机供电。预测称，平价入门级电脑可能在2028年前消失，内存短缺预计持续数年。","url":"https://www.aioga.com/news/cmro8l78w00j5bitou01qowy4/"},"en":{"title":"Generative AI is an engineering disaster: AI companies are buying up 70% of high-end memory, driving up computer prices","summary":"To maintain the operation of large language models (such as ChatGPT and Claude), AI companies may have purchased 70% of the world's high-end computer memory, causing memory and storage prices to soar: a hard drive that cost $350 two years ago now costs $800 and is out of stock, and some laptops have seen prices increase by 50%. Tech companies plan to expand the capacity of U.S. data centers eightfold over the next few years, with some sites even powered by jet engines. It is predicted that affordable entry-level computers may disappear before 2028, and memory shortages are expected to last for several years.","category":"Insights","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Generative AI is an engineering disaster: AI companies are buying up 70% of high-end memory, driving up computer prices - Aioga AI News","description":"To maintain the operation of large language models (such as ChatGPT and Claude), AI companies may have purchased 70% of the world's high-end computer memory, causing memory and sto","url":"https://www.aioga.com/en/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-18T04:59:03.284Z"},"ja":{"title":"生成型人工知能は一つの工学的災害である：AI企業が高性能メモリの70％を買い占め、パソコン価格を押し上げる","summary":"AI企業は、大型言語モデル（ChatGPTやClaudeなど）を維持・運用するため、世界の高性能コンピュータメモリの70％をすでに購入している可能性があり、その結果、メモリとストレージの価格が急騰している。2年前に350ドルだったハードディスクが現在は800ドルに上がり在庫不足となっており、一部のノートパソコンは価格が50％上昇している。テクノロジー企業は今後数年間で米国のデータセンター容量を8倍に拡大する計画があり、一部の拠点ではジェットエンジンで電力を供給することさえある。予測によれば、手頃な入門用パソコンは2028年までに姿を消す可能性があり、メモリ不足は数年間続く見込みである。","category":"ヒントと視点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"生成型人工知能は一つの工学的災害である：AI企業が高性能メモリの70％を買い占め、パソコン価格を押し上げる - Aioga AIニュース","description":"AI企業は、大型言語モデル（ChatGPTやClaudeなど）を維持・運用するため、世界の高性能コンピュータメモリの70％をすでに購入している可能性があり、その結果、メモリとストレージの価格が急騰している。2年前に350ドルだったハードディスクが現在は800ドルに上がり在庫不足となっており、一部のノートパソコンは価格が50％上昇している。テクノロジー企業は今","url":"https://www.aioga.com/ja/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-18T04:59:22.116Z"},"ko":{"title":"생성형 인공지능은 하나의 엔지니어링 재앙이다: AI 기업들이 고급 메모리 70%를 사들이며 컴퓨터 가격을 끌어올리고 있다","summary":"AI 기업들은 대형 언어 모델(예: ChatGPT, Claude)을 운영하기 위해 전 세계 고급 컴퓨터 메모리의 70%를 구매했을 가능성이 있으며, 그로 인해 메모리와 저장 장치 가격이 급등했다. 2년 전 350달러였던 하드디스크는 이제 800달러로 올랐고, 품절 상태이며 일부 노트북 가격은 50% 인상됐다. 기술 기업들은 향후 몇 년 동안 미국 데이터 센터 용량을 8배로 확대할 계획이며, 일부 사이트는 심지어 제트 엔진으로 전력을 공급한다. 예측에 따르면 저렴한 입문용 컴퓨터는 2028년 이전에 사라질 수 있으며, 메모리 부족은 수년간 지속될 것으로 예상된다.","category":"인사이트","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"생성형 인공지능은 하나의 엔지니어링 재앙이다: AI 기업들이 고급 메모리 70%를 사들이며 컴퓨터 가격을 끌어올리고 있다 - Aioga AI 뉴스","description":"AI 기업들은 대형 언어 모델(예: ChatGPT, Claude)을 운영하기 위해 전 세계 고급 컴퓨터 메모리의 70%를 구매했을 가능성이 있으며, 그로 인해 메모리와 저장 장치 가격이 급등했다. 2년 전 350달러였던 하드디스크는 이제 800달러로 올랐고, 품절 상태이며 일부 노트북 가격은 50% 인상됐다. 기술 기업들","url":"https://www.aioga.com/ko/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-18T04:59:41.853Z"},"es":{"title":"La inteligencia artificial generativa es un desastre de ingeniería: las empresas de IA compran el 70% de la memoria de alta gama, elevando los precios de las computadoras","summary":"Para mantener en funcionamiento los modelos de lenguaje grandes (como ChatGPT y Claude), es posible que las empresas de IA hayan comprado el 70% de la memoria de computadora de alta gama a nivel mundial, lo que ha provocado un aumento de los precios de la memoria y el almacenamiento: los discos duros que hace dos años costaban 350 dólares ahora cuestan 800 dólares y están agotados, y algunas computadoras portátiles han subido de precio un 50%. Las empresas tecnológicas planean ampliar la capacidad de los centros de datos en Estados Unidos ocho veces en los próximos años, y algunos sitios incluso se alimentan con motores a chorro. Se predice que las computadoras de nivel de entrada asequibles podrían desaparecer antes de 2028, y se espera que la escasez de memoria continúe durante varios años.","category":"Ideas","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"La inteligencia artificial generativa es un desastre de ingeniería: las empresas de IA compran el 70% de la memoria de alta gama, elevando los precios de las computadoras - Aioga Noticias de IA","description":"Para mantener en funcionamiento los modelos de lenguaje grandes (como ChatGPT y Claude), es posible que las empresas de IA hayan comprado el 70% de la memoria de computadora de alt","url":"https://www.aioga.com/es/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-18T05:00:02.130Z"},"fr":{"title":"L'intelligence artificielle générative est une catastrophe d'ingénierie : les entreprises d'IA achètent 70 % de la mémoire haut de gamme, faisant grimper le prix des ordinateurs","summary":"Pour faire fonctionner les grands modèles de langage (comme ChatGPT et Claude), les entreprises d'IA auraient pu acheter 70 % de la mémoire informatique haut de gamme dans le monde, provoquant une envolée des prix de la mémoire et du stockage : un disque dur qui coûtait 350 dollars il y a deux ans est maintenant à 800 dollars et souvent en rupture de stock, et certains ordinateurs portables ont vu leur prix augmenter de 50 %. Les entreprises technologiques prévoient d'étendre la capacité des centres de données américains huit fois au cours des prochaines années, certains sites utilisant même des moteurs à réaction pour l'alimentation. Les prévisions indiquent que les ordinateurs d'entrée de gamme à prix abordable pourraient disparaître avant 2028 et que la pénurie de mémoire devrait durer plusieurs années.","category":"Analyses","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"L'intelligence artificielle générative est une catastrophe d'ingénierie : les entreprises d'IA achètent 70 % de la mémoire haut de gamme, faisant grimper le prix des ordinateurs - Aioga Actualités IA","description":"Pour faire fonctionner les grands modèles de langage (comme ChatGPT et Claude), les entreprises d'IA auraient pu acheter 70 % de la mémoire informatique haut de gamme dans le monde","url":"https://www.aioga.com/fr/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-18T05:00:21.395Z"},"de":{"title":"Generative künstliche Intelligenz ist eine technische Katastrophe: KI-Unternehmen übernehmen 70 % des High-End-Speichers, was die Computerpreise in die Höhe treibt","summary":"Um große Sprachmodelle (wie ChatGPT und Claude) am Laufen zu halten, haben KI-Unternehmen möglicherweise 70 % des weltweit hochwertigen Computerspeichers gekauft, was die Preise für Speicher und Speicher in die Höhe treiben ließ: Festplatten, die vor zwei Jahren 350 Dollar kosteten, sind inzwischen auf 800 Dollar gestiegen und sind ausverkauft, und einige Laptops sind um 50 % gestiegen. Technologieunternehmen planen, die Kapazität der US-Rechenzentren in den kommenden Jahren um das Achtfache zu erweitern, wobei einige Standorte sogar von Strahltriebwerken angetrieben werden. Prognosen deuten darauf hin, dass erschwingliche Einstiegsrechner vor 2028 verschwinden könnten und die Speicherengpässe voraussichtlich noch Jahre andauern werden.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Generative künstliche Intelligenz ist eine technische Katastrophe: KI-Unternehmen übernehmen 70 % des High-End-Speichers, was die Computerpreise in die Höhe treibt - Aioga KI-News","description":"Um große Sprachmodelle (wie ChatGPT und Claude) am Laufen zu halten, haben KI-Unternehmen möglicherweise 70 % des weltweit hochwertigen Computerspeichers gekauft, was die Preise fü","url":"https://www.aioga.com/de/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:10.277Z"},"pt-BR":{"title":"A inteligência artificial generativa é um desastre de engenharia: empresas de IA estão adquirindo 70% da memória de ponta, elevando os preços dos computadores","summary":"Para manter grandes modelos de linguagem (como ChatGPT e Claude) funcionando, empresas de IA podem ter comprado 70% da memória de computador de alto desempenho do mundo, fazendo com que os preços de memória e armazenamento disparassem: discos rígidos que custavam $350 há dois anos agora subiram para $800 e estão fora de estoque, e alguns laptops aumentaram 50%. Empresas de tecnologia planejam expandir a capacidade dos data centers nos EUA em oito vezes nos próximos anos, com alguns locais até movidos por motores a jato. As previsões indicam que computadores acessíveis para entrada podem desaparecer antes de 2028, com a escassez de memória prevista para persistir por anos.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"A inteligência artificial generativa é um desastre de engenharia: empresas de IA estão adquirindo 70% da memória de ponta, elevando os preços dos computadores - Aioga Notícias de IA","description":"Para manter grandes modelos de linguagem (como ChatGPT e Claude) funcionando, empresas de IA podem ter comprado 70% da memória de computador de alto desempenho do mundo, fazendo co","url":"https://www.aioga.com/pt-BR/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:07.001Z"},"ru":{"title":"Генеративный искусственный интеллект — это инженерная катастрофа: компании в сфере ИИ захватывают 70% высококлассной памяти, что приводит к росту цен на компьютеры","summary":"Чтобы поддерживать работу крупных языковых моделей (таких как ChatGPT и Claude), компании, занимающиеся искусственным интеллектом, могли приобрести 70% мировой топовой компьютерной памяти, что привело к резкому росту цен на память и накопители: жёсткие диски, которые два года назад стоили $350, теперь выросли до $800 и отсутствуют в наличии, а некоторые ноутбуки выросли на 50%. Технологические компании планируют расширить вместимость дата-центров США в восемь раз в ближайшие годы, при этом некоторые площадки даже будут оснащены реактивными двигателями. Прогнозы указывают на то, что доступные компьютеры начального уровня могут исчезнуть до 2028 года, а дефицит памяти, как ожидается, будет сохраняться ещё много лет.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Генеративный искусственный интеллект — это инженерная катастрофа: компании в сфере ИИ захватывают 70% высококлассной памяти, что приводит к росту цен на компьютеры - Aioga Новости ИИ","description":"Чтобы поддерживать работу крупных языковых моделей (таких как ChatGPT и Claude), компании, занимающиеся искусственным интеллектом, могли приобрести 70% мировой топовой компьютерной","url":"https://www.aioga.com/ru/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:07.272Z"},"ar":{"title":"الذكاء الاصطناعي التوليدي كارثة هندسية: شركات الذكاء الاصطناعي تستحوذ على 70٪ من الذاكرة عالية الأداء، مما يرفع أسعار الحواسيب","summary":"للحفاظ على تشغيل نماذج اللغة الكبيرة (مثل ChatGPT وClaude)، قد تكون شركات الذكاء الاصطناعي اشترت 70٪ من ذاكرة الكمبيوتر عالية الأداء في العالم، مما تسبب في ارتفاع أسعار الذاكرة والتخزين: الأقراص الصلبة التي كانت تكلف 350 دولارا قبل عامين ارتفعت الآن إلى 800 دولار وهي غير متوفرة، وبعض أجهزة الكمبيوتر المحمولة زادت بنسبة 50٪. تخطط شركات التقنية لتوسيع سعة مراكز البيانات الأمريكية ثمانية أضعاف في السنوات القادمة، مع بعض المواقع التي تعمل بمحركات نفاثة. تشير التوقعات إلى أن أجهزة الكمبيوتر المبتدئة الميسورة التكلفة قد تختفي قبل عام 2028، مع توقع استمرار نقص الذاكرة لسنوات.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"الذكاء الاصطناعي التوليدي كارثة هندسية: شركات الذكاء الاصطناعي تستحوذ على 70٪ من الذاكرة عالية الأداء، مما يرفع أسعار الحواسيب - Aioga أخبار الذكاء الاصطناعي","description":"للحفاظ على تشغيل نماذج اللغة الكبيرة (مثل ChatGPT وClaude)، قد تكون شركات الذكاء الاصطناعي اشترت 70٪ من ذاكرة الكمبيوتر عالية الأداء في العالم، مما تسبب في ارتفاع أسعار الذاكرة وال","url":"https://www.aioga.com/ar/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:10.128Z"},"hi":{"title":"जनरेटिव आर्टिफिशियल इंटेलिजेंस एक इंजीनियरिंग आपदा है: एआई कंपनियां 70% हाई-एंड मेमोरी को तोड़ रही हैं, जिससे कंप्यूटर की कीमतें बढ़ रही हैं","summary":"बड़े भाषा मॉडल (जैसे चैटजीपीटी और क्लाउड) को चालू रखने के लिए, एआई कंपनियों ने दुनिया की 70% हाई-एंड कंप्यूटर मेमोरी खरीदी होगी, जिससे मेमोरी और स्टोरेज की कीमतें बढ़ गई हैं: दो साल पहले $350 की लागत वाली हार्ड ड्राइव अब बढ़कर $800 हो गई हैं और स्टॉक से बाहर हैं, और कुछ लैपटॉप में 50% की वृद्धि हुई है। टेक कंपनियां आने वाले वर्षों में अमेरिकी डेटा सेंटर क्षमता को आठ गुना बढ़ाने की योजना बना रही हैं, कुछ साइटें जेट इंजन द्वारा भी संचालित हैं। पूर्वानुमानों से संकेत मिलता है कि किफायती प्रवेश स्तर के कंप्यूटर 2028 से पहले गायब हो सकते हैं, मेमोरी की कमी वर्षों तक बनी रहने की उम्मीद है।","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"जनरेटिव आर्टिफिशियल इंटेलिजेंस एक इंजीनियरिंग आपदा है: एआई कंपनियां 70% हाई-एंड मेमोरी को तोड़ रही हैं, जिससे कंप्यूटर की कीमतें बढ़ रही हैं - Aioga AI समाचार","description":"बड़े भाषा मॉडल (जैसे चैटजीपीटी और क्लाउड) को चालू रखने के लिए, एआई कंपनियों ने दुनिया की 70% हाई-एंड कंप्यूटर मेमोरी खरीदी होगी, जिससे मेमोरी और स्टोरेज की कीमतें बढ़ गई हैं: दो सा","url":"https://www.aioga.com/hi/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:07.895Z"},"it":{"title":"L'intelligenza artificiale generativa è un disastro ingegneristico: le aziende di IA stanno acquistando il 70% della memoria di fascia alta, facendo salire i prezzi dei computer","summary":"Per mantenere funzionanti grandi modelli linguistici (come ChatGPT e Claude), le aziende di IA potrebbero aver acquistato il 70% della memoria di computer di fascia alta al mondo, facendo schizzare i prezzi di memoria e storage: hard disk che costavano 350 dollari due anni fa sono ora saliti a 800 dollari e sono esauriti, e alcuni laptop sono aumentati del 50%. Le aziende tecnologiche prevedono di ampliare la capacità dei data center statunitensi di otto volte nei prossimi anni, con alcuni siti persino alimentati da motori a reazione. Le previsioni indicano che i computer entry-level accessibili potrebbero scomparire prima del 2028, con carenze di memoria che si prevede che persisteranno per anni.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"L'intelligenza artificiale generativa è un disastro ingegneristico: le aziende di IA stanno acquistando il 70% della memoria di fascia alta, facendo salire i prezzi dei computer - Aioga Notizie IA","description":"Per mantenere funzionanti grandi modelli linguistici (come ChatGPT e Claude), le aziende di IA potrebbero aver acquistato il 70% della memoria di computer di fascia alta al mondo, ","url":"https://www.aioga.com/it/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:10.791Z"},"nl":{"title":"Generatieve kunstmatige intelligentie is een technische ramp: AI-bedrijven grijpen 70% van het high-end geheugen, waardoor de computerprijzen stijgen","summary":"Om grote taalmodellen (zoals ChatGPT en Claude) draaiende te houden, hebben AI-bedrijven mogelijk 70% van het high-end computergeheugen ter wereld gekocht, waardoor de prijzen voor geheugen en opslag enorm zijn opgeëist: harde schijven die twee jaar geleden $350 kostten, zijn nu gestegen tot $800 en zijn uitverkocht, en sommige laptops zijn met 50% gestegen. Technologiebedrijven zijn van plan de capaciteit van Amerikaanse datacenters in de komende jaren acht keer uit te breiden, waarbij sommige locaties zelfs worden aangedreven door straalmotoren. Voorspellingen geven aan dat betaalbare instapcomputers voor 2028 kunnen verdwijnen, met geheugentekorten die naar verwachting nog jaren zullen aanhouden.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Generatieve kunstmatige intelligentie is een technische ramp: AI-bedrijven grijpen 70% van het high-end geheugen, waardoor de computerprijzen stijgen - Aioga AI-nieuws","description":"Om grote taalmodellen (zoals ChatGPT en Claude) draaiende te houden, hebben AI-bedrijven mogelijk 70% van het high-end computergeheugen ter wereld gekocht, waardoor de prijzen voor","url":"https://www.aioga.com/nl/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:07.398Z"},"tr":{"title":"Üretken yapay zeka bir mühendislik felaketidir: YZ şirketleri yüksek kaliteli belleğin %70'ini ele geçiriyor, bu da bilgisayar fiyatlarını yükseltiyor","summary":"ChatGPT ve Claude gibi büyük dil modellerinin çalışır kalması için yapay zeka şirketleri dünyanın üst düzey bilgisayar belleğinin %70'ini satın almış olabilir, bu da bellek ve depolama fiyatlarının yükselmesine neden oldu: iki yıl önce 350 dolar olan sabit diskler şimdi 800 dolara çıktı ve stokta yok, bazı dizüstü bilgisayarlar ise %50 arttı. Teknoloji şirketleri, önümüzdeki yıllarda ABD veri merkezi kapasitesini sekiz kat artırmayı planlıyor; bazı siteler jet motorlarıyla bile çalışıyor. Tahminler, uygun fiyatlı giriş seviyesi bilgisayarların 2028'den önce ortadan kalkabileceğini ve bellek kıtlığının yıllarca devam edeceğini gösteriyor.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Üretken yapay zeka bir mühendislik felaketidir: YZ şirketleri yüksek kaliteli belleğin %70'ini ele geçiriyor, bu da bilgisayar fiyatlarını yükseltiyor - Aioga AI Haberleri","description":"ChatGPT ve Claude gibi büyük dil modellerinin çalışır kalması için yapay zeka şirketleri dünyanın üst düzey bilgisayar belleğinin %70'ini satın almış olabilir, bu da bellek ve depo","url":"https://www.aioga.com/tr/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:11.205Z"},"vi":{"title":"Trí tuệ nhân tạo tổng quát là một thảm họa kỹ thuật: Các công ty AI đang chiếm 70% bộ nhớ cao cấp, đẩy giá máy tính lên cao","summary":"Để duy trì hoạt động của các mô hình ngôn ngữ lớn (chẳng hạn như ChatGPT và Claude), các công ty AI có thể đã mua 70% bộ nhớ máy tính cao cấp trên thế giới, khiến giá bộ nhớ và lưu trữ tăng vọt: ổ cứng có giá 350 đô la hai năm trước hiện đã tăng lên 800 đô la và hết hàng, và một số máy tính xách tay đã tăng 50%. Các công ty công nghệ có kế hoạch mở rộng dung lượng trung tâm dữ liệu của Mỹ gấp tám lần trong những năm tới, với một số địa điểm thậm chí còn chạy bằng động cơ phản lực. Các dự báo chỉ ra rằng các máy tính cấp thấp giá cả phải chăng có thể biến mất trước năm 2028, với tình trạng thiếu bộ nhớ dự kiến sẽ kéo dài trong nhiều năm.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Trí tuệ nhân tạo tổng quát là một thảm họa kỹ thuật: Các công ty AI đang chiếm 70% bộ nhớ cao cấp, đẩy giá máy tính lên cao - Tin tức AI Aioga","description":"Để duy trì hoạt động của các mô hình ngôn ngữ lớn (chẳng hạn như ChatGPT và Claude), các công ty AI có thể đã mua 70% bộ nhớ máy tính cao cấp trên thế giới, khiến giá bộ nhớ và lưu","url":"https://www.aioga.com/vi/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:07.768Z"},"id":{"title":"Kecerdasan buatan generatif adalah bencana teknik: Perusahaan AI mengambil 70% memori kelas atas, menaikkan harga komputer","summary":"Untuk menjaga model bahasa besar (seperti ChatGPT dan Claude) tetap berjalan, perusahaan AI mungkin telah membeli 70% dari memori komputer kelas atas dunia, menyebabkan harga memori dan penyimpanan melonjak: hard drive yang harganya $350 dua tahun lalu sekarang telah naik menjadi $800 dan kehabisan stok, dan beberapa laptop telah meningkat sebesar 50%. Perusahaan teknologi berencana untuk memperluas kapasitas pusat data AS delapan kali lipat di tahun-tahun mendatang, dengan beberapa situs bahkan ditenagai oleh mesin jet. Perkiraan menunjukkan bahwa komputer entry-level yang terjangkau dapat menghilang sebelum 2028, dengan kekurangan memori diperkirakan akan bertahan selama bertahun-tahun.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kecerdasan buatan generatif adalah bencana teknik: Perusahaan AI mengambil 70% memori kelas atas, menaikkan harga komputer - Berita AI Aioga","description":"Untuk menjaga model bahasa besar (seperti ChatGPT dan Claude) tetap berjalan, perusahaan AI mungkin telah membeli 70% dari memori komputer kelas atas dunia, menyebabkan harga memor","url":"https://www.aioga.com/id/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:11.252Z"},"th":{"title":"ปัญญาประดิษฐ์กําเนิดเป็นหายนะทางวิศวกรรม: บริษัท AI กําลังแย่งชิงหน่วยความจําระดับไฮเอนด์ 70% ทําให้ราคาคอมพิวเตอร์สูงขึ้น","summary":"เพื่อให้โมเดลภาษาขนาดใหญ่ (เช่น ChatGPT และ Claude) ทํางานต่อไป บริษัท AI อาจซื้อ 70% ของหน่วยความจําคอมพิวเตอร์ระดับไฮเอนด์ของโลก ทําให้ราคาหน่วยความจําและพื้นที่เก็บข้อมูลพุ่งสูงขึ้น: ฮาร์ดไดรฟ์ที่มีราคา 350 ดอลลาร์เมื่อสองปีที่แล้วได้เพิ่มขึ้นเป็น 800 ดอลลาร์และหมดสต็อก และแล็ปท็อปบางรุ่นเพิ่มขึ้น 50% บริษัทเทคโนโลยีวางแผนที่จะขยายความจุศูนย์ข้อมูลของสหรัฐฯ แปดเท่าในอีกไม่กี่ปีข้างหน้า โดยบางไซต์ขับเคลื่อนด้วยเครื่องยนต์ไอพ่น การคาดการณ์ระบุว่าคอมพิวเตอร์ระดับเริ่มต้นราคาไม่แพงอาจหายไปก่อนปี 2028 โดยคาดว่าปัญหาการขาดแคลนหน่วยความจําจะคงอยู่เป็นเวลาหลายปี","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"ปัญญาประดิษฐ์กําเนิดเป็นหายนะทางวิศวกรรม: บริษัท AI กําลังแย่งชิงหน่วยความจําระดับไฮเอนด์ 70% ทําให้ราคาคอมพิวเตอร์สูงขึ้น - ข่าว AI Aioga","description":"เพื่อให้โมเดลภาษาขนาดใหญ่ (เช่น ChatGPT และ Claude) ทํางานต่อไป บริษัท AI อาจซื้อ 70% ของหน่วยความจําคอมพิวเตอร์ระดับไฮเอนด์ของโลก ทําให้ราคาหน่วยความจําและพื้นที่เก็บข้อมูลพุ่งสูง","url":"https://www.aioga.com/th/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:08.303Z"},"pl":{"title":"Generatywna sztuczna inteligencja to katastrofa inżynierska: firmy AI przejmują 70% wysokiej klasy pamięci, co podnosi ceny komputerów","summary":"Aby utrzymać działanie dużych modeli językowych (takich jak ChatGPT i Claude), firmy AI mogły kupić 70% światowej najwyższej klasy pamięci komputerowej, co spowodowało gwałtowny wzrost cen pamięci i pamięci masowej: dyski twarde, które dwa lata temu kosztowały 350 dolarów, wzrosły teraz do 800 dolarów i są wyprzedane, a niektóre laptopy wzrosły o 50%. Firmy technologiczne planują w najbliższych latach ośmiokrotnie zwiększyć pojemność amerykańskich centrów danych, a niektóre obiekty będą nawet napędzane silnikami odrzutowymi. Prognozy wskazują, że przystępne cenowo komputery podstawowe mogą zniknąć przed 2028 rokiem, a niedobory pamięci będą utrzymywać się przez lata.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Generatywna sztuczna inteligencja to katastrofa inżynierska: firmy AI przejmują 70% wysokiej klasy pamięci, co podnosi ceny komputerów - Aioga Wiadomości AI","description":"Aby utrzymać działanie dużych modeli językowych (takich jak ChatGPT i Claude), firmy AI mogły kupić 70% światowej najwyższej klasy pamięci komputerowej, co spowodowało gwałtowny wz","url":"https://www.aioga.com/pl/news/cmro8l78w00j5bitou01qowy4/","contentTranslated":true,"sourceHash":"586a16f375f0412b","translatedAt":"2026-07-19T13:34:11.122Z"}}}}