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MIT Technology Review · AI

HISTORY2026年11月14日10 不同热搜 · 统计中
10/16—11/14 有历史数据
DAILY UNIQUE TOPICS10 条热搜今天 00:00 起累计,每次采集后更新
热搜话题最高排名首次上榜离榜时间在榜时长上榜次数
01
Nvidia privately confirmed it could track chips to fight smuggling, even as industry publicly questioned feasibility

Representatives from Nvidia told Illinois representative Bill Foster that it would be technically possible to implement the anti-smuggling measures called for in the Chip Security Act, Foster told MIT Technology Review in an interview on Thursday, even while an industry group claimed they were “potentially infeasible.” Foster, a Democrat who serves on the Committee on…

#100:00 达到00:00首次采集时已在榜—结束时仍在榜7分累计在榜1无重入
02
The backlash about data centers might really just be about electricity

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. As voters went to the polls across the US last week, I was in Ashburn, Virginia, part of what’s known as Data Center Alley—the world’s largest data center hub. It’s also where…

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03
Nancy Pelosi’s replacement is ready to regulate AI

As a California state senator, Scott Wiener authored legislation aimed at curbing the risks of advanced AI. Now, after winning a tight congressional race for former Speaker of the House Nancy Pelosi’s open San Francisco seat, he could play a key role in setting federal AI policy. I spoke with Wiener on Friday, only a…

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04
Innovating with AI in the special chemicals industry

As companies look to accelerate innovation with artificial intelligence, cloud computing, and advanced modeling, the primary challenge is connecting new technologies to reliable data, scientific expertise, and the practical realities of bringing products to market. For specialty chemicals manufacturer Lubrizol, digital transformation is all about giving researchers the tools to test ideas faster, make better-informed…

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05
I watched a humanoid robot clean my apartment. It felt like a taste of the future.

I’m not the sort of person who typically pays for a house cleaner. I’m too frugal, and I kind of enjoy putting on a podcast and going to town on my tub with a Magic Eraser. But when I saw an X post about a new humanoid-robot cleaning service in San Francisco, I immediately signed…

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06
Texas was the new epicenter of the AI data center buildout. That might be kaput.

Texas is the fastest-growing data center market in the US and ground zero for Big Tech’s largest AI buildouts. But the blue wave that swept the Lone Star State may jeopardize that position. Democrat James Talarico won the US Senate seat against Ken Paxton. Gina Hinojosa won the race for governor against the Republican incumbent,…

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07
Securing the agentic enterprise with data lineage

A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep. No human checks either handoff. When it’s…

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08
How “reverse game theory” could keep AI agents in check

A new approach known as “reverse game theory” aims to control powerful AI models by designing systems that incentivize them to stick to the rules. As AI models become more capable, safety researchers are scrambling to ensure they are “aligned” with human desires—to make sure, in other words, that rogue agents don’t break the law,…

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09
Here’s who is falling in line for Trump’s “Super Intelligence” loyalty test

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. At the end of September, President Trump signed an executive order that contained just one directive, ordering government agencies to rebrand what they had been calling artificial intelligence as “Super Intelligence.” That…

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10
Raising the quality of insights in agentic analytics

In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate…

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