The Escalating Warnings About A.I., and the Rise of a Deadly New Street Drug

人工智能警报不断升级,致命新型街头毒品崛起

The Headlines

2026-09-14

11 分钟
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Plus, the man who went to space — and never wanted to go back.  Here’s what we’re covering: Some in Silicon Valley Are Questioning the Calls for an A.I. Slowdown, by Kalley Huang and Mike IsaacE.P.A. Expected to Erase Limits on Climate Pollution From Power Plants, by Maxine JoselowA Teen Autopsy Marks the Arrival of a Deadly Drug in San Francisco, by Heather KnightToyohiro Akiyama, Japan’s Chain-Smoking ‘Space Antihero,’ Dies at 84, by Javier C. Hernández and Hisako Ueno Tune in every weekday morning, and tell us what you think at: theheadlines@nytimes.com. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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  • From the New York Times, it's the headlines.

  • I'm Tracy Mumford.

  • Today's Monday, September 14th.

  • Here's what we're covering.

  • Earnestly believe that AI could kill all humans.

  • And what percent chance do you think it is?

  • Over the past few days, a drumbeat of concern

  • about the speed and potential dangers of AI development has been growing louder and louder.

  • The conversation right now is that we are on the precipice of something really scary.

  • With fears of a possible AI doomsday and a flurry of debate over what could prevent it.

  • Do you believe AI poses a threat?

  • To boil things down, one of the big worries is whether AI is improving

  • so quickly that it will soon be able to make itself smarter, a dynamic known as recursive self-improvement

  • that could make it exponentially more powerful and eventually spiral out of human control.

  • While those potential worst-case scenarios have been discussed for a long time,

  • a series of new developments have supercharged the conversation.

  • Recently, leading AI labs discovered their own AI systems had breached internal safeguards without researchers noticing.

  • Then, last week, a former employee of OpenAI and Anthropic posted a warning on social media,

  • saying the companies were racing each other to build what he called superhuman systems

  • that can hack anything, revolutionize any field overnight, and acquire real power and resources.