The Download: AI hiring biases, and weather data sabotage

The Download: AI hiring biases, and weather data sabotage

《下载》:AI 招聘偏见与气象数据破坏

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. 这是今日份的《下载》,我们平日更新的简报,为您提供每日科技世界的动态。

AI is more likely than humans to form biases when hiring

AI 在招聘时比人类更容易产生偏见

The next time you apply for a job, AI may screen your résumé before any human sees it. But there’s good reason to question whether AI will judge you fairly. We already know that LLMs pick up human biases from their training data. New research suggests they can also develop their own biases from experience—and stereotype job applicants more than humans do. As AI companies race to build agentic models that remember the tiniest details about users, they may be handing them ammunition for forming those biases. Read the full story on AI’s alarming potential to stereotype job applicants. —Michelle Kim 下次你申请工作时,AI 可能会在人类看到之前先筛选你的简历。但我们有充分的理由质疑 AI 是否会公平地评判你。我们已经知道大语言模型(LLM)会从训练数据中习得人类的偏见。最新研究表明,它们还能通过经验发展出自己的偏见,并且比人类更倾向于对求职者进行刻板印象化。随着 AI 公司竞相开发能够记住用户最细微细节的代理模型(Agentic models),它们可能正在为 AI 形成这些偏见提供“弹药”。阅读关于 AI 对求职者进行刻板印象化的惊人潜力的完整报道。——Michelle Kim

The risk of weather data sabotage is rising

气象数据被破坏的风险正在上升

Every morning, airline dispatchers, grid operators, and farmers around the world make decisions based on weather forecasts. More recently, the forecasts have become relevant for another industry: prediction markets, where people bet money on all kinds of real-world events, including the weather. The temptation to manipulate weather data to get an edge in these markets, combined with a collective move toward data-driven AI weather forecasting, is starting to put the accuracy of weather predictions at risk. As experts in the field, we can foresee scenarios where the risks snowball into far bigger, more systemic problems. Find out why the threats to weather data are growing—and how to stay ahead of them. —Monique Kuglitsch, Jesper Dramsch, Franz G. Kuglitsch, & Andrea Toreti 每天早上,全球的航空公司调度员、电网运营商和农民都会根据天气预报做出决策。最近,天气预报对另一个行业也变得至关重要:预测市场。人们在这些市场上对各种现实事件(包括天气)进行金钱投注。为了在这些市场中获得优势而操纵气象数据的诱惑,加上全球向数据驱动的 AI 天气预报转型,正开始危及天气预报的准确性。作为该领域的专家,我们可以预见这些风险会像滚雪球一样演变成更大、更系统性的问题。了解为什么针对气象数据的威胁正在增加,以及如何防患于未然。——Monique Kuglitsch, Jesper Dramsch, Franz G. Kuglitsch, & Andrea Toreti


The must-reads

必读内容

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 我已梳理了互联网,为您找出今天最有趣、最重要、最可怕或最引人入胜的科技故事。

  1. SpaceX is negotiating to sell the Pentagon AI compute It would provide data center capacity worth billions of dollars. (WSJ) Deepening ties between Elon Musk’s company and the DoD. (Reuters) Meanwhile, Anthropic is in talks with Meta to acquire compute. (CNBC) The compute explosion is only just beginning. (MIT Technology Review) SpaceX 正在谈判向五角大楼出售 AI 算力 这将提供价值数十亿美元的数据中心容量。(华尔街日报) 埃隆·马斯克的公司与美国国防部之间的联系正在加深。(路透社) 与此同时,Anthropic 正在与 Meta 洽谈获取算力。(CNBC) 算力爆炸才刚刚开始。(麻省理工科技评论)

  2. Trump Media wants $100,000 a month for early access to Trump’s posts The premium feed is being pitched to trading firms and banks. (FT) It aims to monetize Trump’s market-moving social media posts. (Reuters) Critics described the plan as “brazen corruption.” (Guardian) 特朗普媒体公司希望每月收取 10 万美元以提供特朗普帖子的抢先访问权 该高级订阅服务正向贸易公司和银行推销。(金融时报) 旨在将特朗普能影响市场的社交媒体帖子货币化。(路透社) 批评者称该计划为“明目张胆的腐败”。(卫报)

  3. ICE shared Medicaid data it wasn’t supposed to have with Palantir Court filings show the data reached the contractor before being deleted. (NPR) ICE is using data broker tools to identify “unaccompanied minors.” (Wired) 美国移民及海关执法局(ICE)与 Palantir 分享了其本不该拥有的医疗补助数据 法庭文件显示,数据在被删除前已到达承包商手中。(NPR) ICE 正在使用数据经纪工具来识别“无人陪伴的未成年人”。(连线)

  4. Apple briefly overtook Nvidia as the world’s most valuable company The iPhone maker’s earnings durability has impressed investors. (Reuters) While Nvidia’s rise has stalled amid shifting AI bets. (CNBC) 苹果短暂超越英伟达,成为全球市值最高的公司 这家 iPhone 制造商的盈利持久性给投资者留下了深刻印象。(路透社) 而英伟达的涨势在 AI 押注转移的过程中陷入停滞。(CNBC)

  5. Politicians are trying to change what chatbots say about them A new industry has sprung up to help them edit AI outputs. (NYT) Chatbots can sway voters better than political ads. (MIT Technology Review) 政客们正试图改变聊天机器人对他们的评价 一个新兴行业已经出现,专门帮助他们编辑 AI 的输出内容。(纽约时报) 聊天机器人影响选民的能力比政治广告更强。(麻省理工科技评论)

  6. Washington is opening the door to armed robots The Pentagon is accelerating AI weapons development. (WP) “Humans in the loop” in war is an illusion. (MIT Technology Review) 华盛顿正在为武装机器人敞开大门 五角大楼正在加速 AI 武器的开发。(华盛顿邮报) 战争中所谓的“人在回路”只是一个幻觉。(麻省理工科技评论)

  7. China’s Moonshot has paused new subscriptions amid surging uptake Demand for the headline-grabbing Kimi K3 has strained capacity. (SCMP) China’s open-source AI is challenging US models. (MIT Technology Review) 由于用户激增,中国的月之暗面(Moonshot)已暂停新订阅 对备受瞩目的 Kimi K3 的需求已使算力承压。(南华早报) 中国的开源 AI 正在挑战美国模型。(麻省理工科技评论)

  8. Lab-grown teeth could soon replace fillings and implants Scientists believe regenerative medicine could transform dentistry. (BBC) Humanlike “teeth” have been grown in mini pigs. (MIT Technology Review) 实验室培育的牙齿可能很快取代补牙和种植牙 科学家认为再生医学可以改变牙科。(BBC) 类人“牙齿”已在小型猪身上培育成功。(麻省理工科技评论)

  9. AI slop on birdwatching forums is putting research at risk It could contaminate records of species. (Guardian) 观鸟论坛上的 AI 垃圾内容正使研究面临风险 这可能会污染物种记录。(卫报)

  10. Heart experts have good news for your coffee habit Roughly five cups per day is fine—and may even be beneficial. (Gizmodo) 心脏专家对你的咖啡习惯有好消息 每天大约五杯是没问题的,甚至可能有益。(Gizmodo)


Quote of the day

今日名言

“The most authoritarian government is producing the most egalitarian models, and what should be the most democratic government is breeding companies that are the most authoritarian.” “最威权的政府正在生产最平等的模型,而本应最民主的政府却在孕育最威权的公司。”

—Rayan Krishnan, CEO of Vals AI, a company that evaluates AI performance, gives the New York Times his take on the competition between Chinese and American models. ——Rayan Krishnan,AI 性能评估公司 Vals AI 的首席执行官,向《纽约时报》表达了他对中美模型竞争的看法。


One More Thing

还有一件事

The curious case of the disappearing Lamborghinis 消失的兰博基尼:一桩离奇案件

A new wave of theft is rocking the luxury car industry—mixing high tech with old-school chop-shop techniques to snag vehicles while they’re in transport. It’s remained under the radar, even as it’s rocked the industry over the past two years. MIT Technology Review identified more than a dozen cases involving high-end vehicles, obtained court records, and spoke to law enforcement, brokers, drivers, and victims in multiple states to reveal how transport fraud is wreaking havoc across the country. 一股新的盗窃浪潮正在震撼豪华汽车行业——结合了高科技与传统的拆车厂技术,在车辆运输途中将其劫走。尽管过去两年里它一直在冲击该行业,但一直未被广泛关注。《麻省理工科技评论》确认了十几起涉及高端车辆的案件,获取了法庭记录,并采访了多个州的执法人员、经纪人、司机和受害者,揭示了运输欺诈是如何在全国范围内造成破坏的。

Find out how a new wave of transport fraud is wreaking havoc across the country. —Craig Silverman 了解这股新的运输欺诈浪潮是如何在全国范围内造成破坏的。——Craig Silverman