2025-10-10 23:01:00
在 Google 搜索中使用脏话可能会禁用人工智能生成的概述。虽然有些人选择通过退出某些应用程序来避免人工智能，但人工智能在医疗保健、金融和客户服务等各个领域的日益融合使得完全避免人工智能变得具有挑战性。随着人工智能变得越来越普遍，人们对隐私、歧视、错误信息和环境影响的担忧也与日俱增。专家警告说，虽然人工智能带来了变革性的好处，但如果管理不当，它也会带来重大风险。监管人工智能的努力正在进行中，但难以跟上其快速扩张的步伐，引发了人们对没有人工智能的个人生活自由的质疑。

2025-10-10 21:51:50
全球领先的人工智能芯片制造商英伟达因其在市场上的主导地位以及美国试图限制中国获取其技术而面临贸易紧张局势。英伟达首席执行官黄仁勋认为，出口限制可能会加速中国本土替代产品的开发，从而适得其反。该公司的参与引发了有关可能违反出口法规的争议。尽管政府最近采取措施控制对中国的芯片销售，但贸易争端持续存在，引发了人们对全球人工智能创新和国家安全影响的担忧。

2025-10-10 20:35:32
由于当地居民担心电力成本增加、电网不稳定和环境影响，微软取消了在威斯康星州喀里多尼亚建设数据中心的计划。然而，这家科技巨头仍然致力于在更广阔的威斯康星州东南部地区开发数据中心。此举正值美国各地众多数据中心项目旨在支持人工智能基础设施的增长之际。

2025-10-10 20:31:00
甲骨文 (ORCL) 的交易价格接近 300 美元的趋势线入口，综合评级为 92/99，行业集团排名为 26/197。尽管最近有负面消息，但 ORCL 仍有望实现强劲的上行逆转。该股呈现盘整格局，表明未来潜在的增长。

2025-10-10 20:11:18
OpenAI 进行了内部“压力测试”，以评估 ChatGPT 对政治问题的回应，旨在减少偏见。测试涉及 100 个主题，提示内容从自由派到保守派观点不等。结果表明，与旧版本相比，最新的 GPT-5 模型表现出更少的偏差，偏差分数降低了 30%。尽管仍然存在一些偏见，尤其是在回应强烈的自由主义提示时，OpenAI 声称其模型总体上保持客观。该公司还采取了一些措施，例如允许用户调整 ChatGPT 的语气并发布人工智能聊天机器人的行为指南。

2025-10-10 18:16:00
在开发人员展示了在几秒钟内完成 Coursera 作业后，Perplexity AI 的首席执行官警告学生不要使用该公司的 Comet 浏览器自动完成课程作业。该事件凸显了人们对滥用旨在辅助学习的先进人工智能工具的担忧，这可能会破坏教育诚信并带来安全风险。

2025-10-10 18:12:00
《创：阿瑞斯》以军国主义首席执行官朱利安·迪林格和伊芙·金控制的反乌托邦数字世界为背景，描绘了技术的必然性，而不考虑道德后果。这部电影将顺从的人工智能与新兴意识进行了对比，倡导免于编程的自由，但未能深入探讨科幻主题，看起来更符合科技亿万富翁的叙述，而不是对技术伦理的批判性话语。

2025-10-10 18:05:15
Friend AI 设备由于其侵入性设计（作为一种不断聆听的可穿戴吊坠）而变得非常不受欢迎。在面临纽约地铁污损广告的强烈反对以及社会对始终在线收听技术的抵制后，该公司转向基于网络的聊天机器人界面。尽管首席执行官 Avi Schiffmann 声称拥有 20 万用户，但实际参与度仍然值得怀疑。《弗兰德》在营销上投入了大量资金，但却获得了负面关注，希夫曼似乎对批评漠不关心，并通过争议来吸引关注。

2025-10-10 18:00:34
站点组件加载失败；潜在原因包括浏览器扩展、网络问题或浏览器设置。检查连接并禁用广告拦截器，或使用其他浏览器。

2025-10-10 17:55:12
The billion-dollar infrastructure deals powering the AI boom | TechCrunch The tech industry is racing to build AI infrastructure,预计到本十年末将耗资3至4万亿美元。主要项目包括微软对OpenAI的10亿美元投资，使其成为Azure的主要客户；Oracle与OpenAI签订了价值3000亿美元的五年期计算合同；Nvidia通过GPU交易向OpenAI和xAI等公司提供资金支持；Meta计划到2028年在美国基础设施上花费6000亿美元。此外，Stargate项目宣布将耗资5000亿美元用于美国的人工智能基础设施建设，尽管该项目已失去一些动力但仍继续推进。 It takes a lot of computing power to run an AI product — and as the tech industry races to tap the power of AI models, there’s a parallel race underway to build the infrastructure that will power them. On a recent earnings call, Nvidia CEO Jensen Huang estimated that between $3 trillion and $4 trillion will be spent on AI infrastructure by the end of the decade — with much of that money coming from AI companies. Along the way, they’re placing immense strain on power grids and pushing the industry’s building capacity to its limit. Below, we’ve laid out everything we know about the biggest AI infrastructure projects, including major spending from Meta, Oracle, Microsoft, Google, and OpenAI. We’ll keep it updated as the boom continues and the numbers climb even higher. Microsoft’s $1 billion investment in OpenAI This is arguably the deal that kicked off the whole contemporary AI boom: In 2019 , Microsoft made a $1 billion investment in a buzzy non-profit called OpenAI, known mostly for its association with Elon Musk. Crucially, the deal made Microsoft the exclusive cloud provider for OpenAI — and as the demands of model training became more intense, more of Microsoft’s investment started to come in the form of Azure cloud credit rather than cash. It was a great deal for both sides: Microsoft was able to claim more Azure sales, and OpenAI got more money for its biggest single expense. In the years that followed, Microsoft would build its investment up to nearly $14 billion — a move that is set to pay off enormously when OpenAI converts into a for-profit company. The partnership between the two companies has unwound more recently. In January, OpenAI announced it would no longer be using Microsoft’s cloud exclusively , instead giving the company a right of first refusal on future infrastructure demands but pursuing others if Azure couldn’t meet their needs. More recently, Microsoft began exploring other foundation models to power its AI products, establishing even more independence from the AI giant. OpenAI’s arrangement with Microsoft was so successful that it’s become a common practice for AI services to sign on with a particular cloud provider. Anthropic has received $8 billion in investment from Amazon, while making kernel-level modifications on the company’s hardware to make it better suited for AI training. Google Cloud has also signed on smaller AI companies like Lovable and Windsurf as “primary computing partners,” although those deals did not involve any investment. And even OpenAI has gone back to the well, receiving a $100 billion investment from Nvidia in September , giving it capacity to buy even more of the company’s GPUs. The rise of Oracle On June 30, 2025, Oracle revealed in an SEC filing that it had signed a $30 billion cloud services deal with an unnamed partner; this is more than the company’s cloud revenues for all of the previous fiscal year. OpenAI was eventually revealed as the partner, securing Oracle a spot alongside Google as one of OpenAI’s string of post-Microsoft hosting partners. Unsurprisingly, the company’s stock went shooting up. Techcrunch event San Francisco | October 27-29, 2025 A few months later, it happened again. On September 10 , Oracle revealed a five-year, $300 billion deal for compute power, set to begin in 2027. Oracle’s stock climbed even higher , briefly making founder Larry Ellison the richest man in the world. The sheer scale of the deal is stunning: OpenAI does not have $300 billion to spend, so the figure presumes immense growth for both companies, and more than a little faith. But before a single dollar is spent, the deal has already cemented Oracle as one of the leading AI infrastructure providers — and a financial force to be reckoned with. Nvidia’s investment spree As AI labs scramble to build infrastructure, they’re mostly all buying GPUs from one company: Nvidia. That trade has made Nvidia flush with cash — and it’s been investing that cash back into the industry in increasingly unconventional ways. In September 2025, the company bought a 4% stake in rival Intel for $5 billion — but even more surprising has been the deals with its own customers. One week after the Intel deal was revealed, the company announced a $100 billion investment in OpenAI , paid for with GPUs that would be used in OpenAI’s ongoing data center projects. Nvidia has since announced a similar deal with Elon Musk’s xAI, and OpenAI launched a separate GPU-for-stock arrangement with AMD. If that seems circular, it should. Nvidia’s GPUs are valuable because they’re so scarce — and by trading them directly into an ever-inflating data center scheme, Nvidia is making sure they stay that way. You could say the same thing about OpenAI’s privately held stock, which is all the more valuable because it can’t be obtained through public markets. For now, OpenAI and Nvidia are riding high and nobody seems too worried — but if the momentum starts to flag, this sort of arrangement will get a lot more scrutiny. Building tomorrow’s hyperscale data centers For companies like Meta that already have significant legacy infrastructure , the story is more complicated — although equally expensive. Mark Zuckerberg has said that Meta plans to spend $600 billion on U.S. infrastructure through the end of 2028 . In just the first half of 2025, the company spent $30 billion more than the previous year, driven largely by the company’s growing AI ambitions. Some of that spending goes toward big ticket cloud contracts, like a recent $10 billion deal with Google Cloud , but even more resources are being poured into two massive new data centers. A new 2,250-acre site in Louisiana, dubbed Hyperion , will cost an estimated $10 billion to build out and provide an estimated 5 gigawatts of compute power . Notably, the site includes an arrangement with a local nuclear power plant to handle the increased energy load. A smaller site in Ohio, called Prometheus, is expected to come online in 2026, powered by natural gas.  That kind of buildout comes with real environmental costs. Elon Musk’s xAI built its own hybrid data center and power-generation plant in South Memphis, Tennessee. The plant has quickly become one of the county’s largest emitters of smog-producing chemicals, thanks to a string of natural gas turbines that experts say violate the Clean Air Act . The Stargate moonshot Just two days after his second inauguration, President Trump announced a joint venture between SoftBank, OpenAI, and Oracle, meant to spend $500 billion building AI infrastructure in the United States. Named “Stargate” after the 1994 film, the project arrived with incredible amounts of hype, with Trump calling it “the largest AI infrastructure project in history.” Sam Altman seemed to agree, saying, ​​”I think this will be the most important project of this era.”  In broad strokes, the plan was for SoftBank to provide the funding, with Oracle handling the buildout with input from OpenAI. Overseeing it all was Trump, who promised to clear away any regulatory hurdles that might slow down the build. But there were doubts from the beginning, including from Elon Musk, Altman’s business rival, who claimed the project did not have the available funds. As the hype has died down, the project has lost some momentum. In August , Bloomberg reported that the partners were failing to reach consensus. Nonetheless, the project has moved forward with the construction of eight data centers in Abilene, Texas , with construction on the final building set to be finished by the end of 2026. This article was first published on September 22.