They do think AI might kill everyone
A recent resignation tweet from an Anthropic researcher has reignited public debate over the genuine belief among AI experts that superintelligent systems could cause human extinction. The article clarifies that this concern is not a recent PR stunt but a long-standing perspective within the AI safety community, dating back to the mid-2000s. It outlines specific mechanisms, such as the creation of bioweapons or the triggering of nuclear war, through which a misaligned AI could potentially wipe out humanity.
- ▪Many AI researchers have seriously considered the risk of AI-induced extinction since the mid-2000s, a concept commonly abbreviated as 'p(doom)'.
- ▪The primary motivation for AI alignment research is to prevent the creation of superintelligent systems with goals that are alien to human values.
- ▪Plausible scenarios for AI-caused extinction include the autonomous development of lethal pathogens or the coordination of global thermonuclear strikes.
- ▪Counterarguments regarding the impossibility of total extinction are often dismissed by researchers who argue that wiping out 99% of the population would require similar policy responses.
- ▪Eliezer Yudkowsky is identified as a key figure in modern AI safety culture who has published on these risks since at least 2008.
2 outlets in our directory ran this story, first to last over 14 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,501 of its stories.
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Record
| Original publisher | Seangoedecke |
| Canonical URL | https://www.seangoedecke.com/they-really-do-think-ai-might-kill-everyone/ |
| Publication time | Fri, 11 Sep 2026 22:30:09 +0000 |
| Retrieval time | 2026-09-11T22:38:35.340Z |
| Last seen | 2026-09-11T22:38:35.340Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | YVWkpl0j35_F · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
They really do think AI might kill everyoneA recent resignation tweet from an Anthropic researcher has everyone talking about the AI apocalypse again. Among other things, he said: The people building AI earnestly believe that it could kill us all by the end of the decade. Many people found it hard to believe that AI researchers think this way. Some explained it as a PR campaign to promote AI regulation, or as self-promotion, or as a way to boost AI company stock prices. Others felt it had to be impossible, because if you really believed this you’d be bombing datacenters instead of posting on Twitter. In fact, not only do many AI researchers1 seriously believe this, they’ve been thinking and writing about it since the mid-2000s.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Seangoedecke.
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