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How to Stop AI From Killing Humanity

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Cite

How to Stop AI From Killing Humanity. (2026, September 15). Zeteo. https://zeteo.com/p/how-to-stop-ai-from-killing-humanity

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Zeteo · collected 2026-09-15 · by So8res commentary

Quick Summary

Zeteo publishes an essay by Nate Soares, an AI researcher and co-author of "If Anyone Builds It, Everyone Dies," who argues that smarter-than-human artificial intelligence poses a significant threat to humanity. Soares suggests there is at least a 10% chance of human extinction if efforts to build superintelligence continue unchecked. He highlights recent actions by AI company employees quitting or warning about impending disaster, while acknowledging the reluctance of these companies to halt their progress due to unspecified reasons.
Written by AI on 2026-09-15, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Zeteo, an online publication, recently published a pair of essays debating the threat posed by advanced AI. The first essay comes from Nate Soares, an AI researcher and co-author of "If Anyone Builds It, Everyone Dies," who argues that developing smarter-than-human AI using current techniques could lead to human extinction. He believes there is at least a 10% chance of this outcome occurring. This view has been echoed by several AI researchers and executives in recent weeks, raising concerns about the safety and future implications of AI technology.

Written for “AI Safety Concerns” on 2026-10-30, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI Safety Concerns
Technology · 1 article(s) covering the same event.

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How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
8
sentences that state something as happening or true
Uncertain
25%
2 of 8 hedged ("reportedly", "may", "according to")
Leaning
Leans left
expected in commentary, which argues a position · beta estimate
Publisher signals
not measured
these signals count newsroom corrections; Commentary has none to count
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-15 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Zeteo · 214 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

No reporter is named on this article, beyond the feed's “So8res”.

Topics

Canadian Zeteo the New York Times’s

Subjects

Zeteo PERSON · 2× -Mehdi PERSON · 1× Canadian NORP · 1× Nate Soares PERSON · 1× Paris Marx PERSON · 1× the New York Times’s ORG · 1×

Narrative

As always, if you’re not already a paid subscriber, upgrade today to get full access to both of these essays and everything Zeteo offers! -Mehdi My view on the AI race is that if anyone builds smarter-than-human AI using anything remotely like the current techniques, the most likely outcome is that everyone on Earth will die.
framing: mixed · carried by 1 article(s) · first seen 2026-09-15
🔮 Note from our Editor-in-Chief: In just the last week, several AI researchers and executives have expressed growing concerns that AI could kill all humans in the next decade.
2026-09-15 · Zeteo
How to Stop AI From Killing Humanity · mixed framing

Claims (8 extracted, 2 hedged)

Note from our Editor-in-Chief: In just the last week, several AI researchers and executives have expressed growing concerns that AI could kill all humans in the next decade. uncertain
AI → express → decade
Zeteo is publishing a pair of essays over the next two days from each side of this contentious issue. asserted
Zeteo → publish → issue
The first, below, is from Nate Soares, an AI researcher and co-author of the New York Times’s bestselling book, ‘If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All,’ who argues the threat is real and we must heed the warning signs immediately. asserted
we → build → signs
Tomorrow, look out for the other side from Paris Marx, a Canadian tech critic and host of the acclaimed ‘Tech Won’t Save Us’ podcast, who is skeptical about the end-of-humanity warnings. asserted
who → look → warnings
As always, if you’re not already a paid subscriber, upgrade today to get full access to both of these essays and everything Zeteo offers! -Mehdi My view on the AI race is that if anyone builds smarter-than-human AI using anything remotely like the current techniques, the most likely outcome is that everyone on Earth will die. asserted
everyone → ’re → Earth
A slightly weaker version of this view — “at least a 10% chance of human extinction if we rush to build superintelligence” — has gone mainstream among AI researchers. asserted
we → rush → researchers
Over the past week, AI company employees have quit their job or otherwise sounded the alarm that we may be on the brink of disaster. uncertain
we → quit → disaster
If the leading AI companies are so worried, why not just stop? asserted
companies → lead → ?
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