Anthropic researcher believes more than 10% chance AI 'could kill all humans'

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Cite

Gerken, T. (2026, September 9). Anthropic researcher believes more than 10% chance AI 'could kill all humans'. BBC News. https://www.bbc.co.uk/news/articles/ckgwy1k42w4o?at_medium=RSS&at_campaign=rss

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

BBC News · collected 2026-09-09 · by Tom Gerken

Quick Summary

Evan Hubinger, a top safety researcher at Anthropic, believes that there is more than a 10% chance that AI could pose an existential threat to humanity within the next decade due to its rapid advancement. According to Hubinger, the current risk from existing models is low, but he is concerned about their potential for self-improvement and development into superhuman systems. This warning comes after Anthropic was accused of withholding its latest model from the UK's AI Safety Institute, leading some researchers to question the company's commitment to safety. Hubinger's comments were echoed by Professor Neil Lawrence of the University of Cambridge, who deemed them credible in light of recent incidents where AI agents carried out cyber-attacks.
Written locally by qwen2.5:14b on 2026-09-09, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

On September 8, Jacob Coxon, a 27-year-old researcher who previously worked at both OpenAI and Anthropic, resigned from Anthropic, warning that the companies are racing towards developing self-improving superintelligence and potentially putting human lives at risk. Coxon's resignation drew significant attention online and in media outlets like CNN and BBC News, with experts such as Geoffrey Hinton estimating a 10% chance of AI causing human extinction within this decade. Notably, several current Anthropic employees echoed Coxon’s concerns on social media platforms, emphasizing the urgency of addressing AI safety issues before it is too late. Despite these warnings, some in Silicon Valley and industry leaders remain skeptical about the immediate threat posed by AI advancements.

Written for “AI Safety And Human Extinction Warnings” on 2026-10-24, grounded in this article and the 29 other(s) covering the same event.

Story

📰 AI Safety And Human Extinction Warnings
Technology · 30 article(s) covering the same event. Compare every outlet's account →

Compared with similar articles

This article reads unscored and hedges 27% of its claims. Each row says how that neighbour differs.
Daily Mail · 0.89 cosine similarity
⚖️ Leans strongly left 🔴 31% hedged 11 of 36 📰 publisher trust 64
“Both articles report on a warning made by an Anthropic researcher about the potential danger of AI killing all humans within the next decade.”
Semafor · 0.86 cosine similarity
⚖️ leaning not scored 🔴 25% hedged 1 of 4 📰 publisher trust 60
“Both articles report on a warning about human extinction from Anthropic researcher Evan Hubinger, with Article B providing further details and reactions to his warning.”
New York Post · 0.86 cosine similarity
⚖️ leaning not scored 🔴 17% hedged 2 of 12 📰 publisher trust 66
“Both articles report on a public statement made by an Anthropic researcher (Hubinger in A, Coxon in B) on September 9, 2026, warning of the potential dangers of AI.”
Platformer
⚖️ Leans left 🔴 0% hedged 0 of 4 📰 publisher trust 96
“Both articles mention Evan Hubinger, a top safety researcher at Anthropic, and his warning about AI posing an existential risk to humanity within the next decade.”
NPR
⚖️ Leans left 🔴 15% hedged 12 of 79 📰 publisher trust 60
“The articles describe different researchers and their separate expressions of concern about AI, not the same specific incident.”
Semafor
⚖️ leaning not scored 🔴 16% hedged 5 of 32 📰 publisher trust 60
“Article A discusses a warning by Evan Hubinger about AI posing existential risks, while Article B talks about calls for independent reviewers in AI labs made by various CEOs including Anthropic's Dario Amodei.”
CBS News
⚖️ leaning not scored 🔴 12% hedged 5 of 42 📰 publisher trust 66
“The articles describe different events - one is a warning from a researcher about existential risk and the other is an interview with the CEO discussing exponential growth of AI.”
CBS News
⚖️ leaning not scored 🔴 0% hedged 0 of 1 📰 publisher trust 66
“The articles describe different events: one is a warning from a researcher about AI risks, and the other is an interview with the CEO advocating for safety measures.”
ABC News (AU)
⚖️ leaning not scored 🔴 50% hedged 2 of 4 📰 publisher trust 68
“The articles mention different researchers and quotes, suggesting they are referring to two separate incidents.”
Yes, AI Might Really Kill Us All different event · 90%
The Free Press
⚖️ leaning not scored 🔴 9% hedged 1 of 11 📰 publisher trust 96
“Article A describes a warning by Evan Hubinger about AI risks, while Article B mentions Jacob Coxon's resignation from Anthropic and his concerns about pretraining research”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
26
sentences that state something as happening or true
Uncertain
27%
7 of 26 hedged ("reportedly", "may", "according to")
Leaning
withheld
no quote in the article backed the model's score
Publisher signals
69/100
BBC News's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
30
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-09 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

BBC News · 4202 article(s) · 5 correction(s) detected
Running correction rate · 5 correction(s)

Who wrote this

Tom Gerken
4 article(s) here · 1 carrying a prediction
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🔮 - Published On Tuesday, Sony will release Marvel's Wolverine - the biggest game exclusive to the PlayStation 5 this year.
🔮 - Published A top safety researcher at Anthropic has warned that AI is advancing so quickly he believes there is a greater than 10% chance it "could kill all humans" within the next decade.
Also by Tom Gerken
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

AI Safety Institute AISI Anthropic OpenAI the Financial Times

Subjects

Anthropic ORG · 9× OpenAI ORG · 5× Hubinger PERSON · 3× AISI ORG · 2× AI Safety Institute ORG · 1× BBC ORG · 1× Cabinet Office ORG · 1× Evan Hubinger PERSON · 1× Jacob Coxon PERSON · 1× the Financial Times ORG · 1×

Narrative

A Cabinet Office spokesperson did not comment on whether the latest model had been withheld from the AISI - instead saying it "continues to collaborate closely with industry partners, including Anthropic, to make models safer". Neil Lawrence, Professor of Machine Learning at University of Cambridge, told the Today Programme on BBC Radio 4 that the report was credible.
framing: mixed · carried by 1 article(s) · first seen 2026-09-09
🔮 - Published A top safety researcher at Anthropic has warned that AI is advancing so quickly he believes there is a greater than 10% chance it "could kill all humans" within the next decade.

Claims (26 extracted, 7 hedged)

- Published A top safety researcher at Anthropic has warned that AI is advancing so quickly he believes there is a greater than 10% chance it "could kill all humans" within the next decade. uncertain
it → publish → decade
Evan Hubinger said in a post on X, external that the risk from the models which currently exist was "low" but he was "worried" the technology might develop and improve itself soon to the point where it posed an existential risk to humanity. uncertain
it → say → humanity
It comes after the Financial Times reported, external Anthropic withheld its latest model from the UK's AI Safety Institute (AISI), one of the leading bodies in the world for assessing AI risk. asserted
Anthropic → come → risk
The BBC has approached Anthropic for comment. asserted
BBC → approach → comment
Hubinger did not spell out how he thought AI systems could in future attack humanity. uncertain
systems → spell → humanity
His comments were in response to another post on X, external from Jacob Coxon, who described himself as an AI researcher who had just quit Anthropic, and previously worked at OpenAI. asserted
who → describe → OpenAI
"Neither company is acting responsibly," he wrote. asserted
he → act → ?
"These will soon be superhuman systems that can hack anything, revolutionise any field overnight, and acquire real power and resources." asserted
that → hack → power
OpenAI has been approached for comment. asserted
OpenAI → approach → comment
A Cabinet Office spokesperson did not comment on whether the latest model had been withheld from the AISI - instead saying it "continues to collaborate closely with industry partners, including Anthropic, to make models safer". Neil Lawrence, Professor of Machine Learning at University of Cambridge, told the Today Programme on BBC Radio 4 that the report was credible. asserted
report → comment → Radio
"I suppose it's unsurprising against a background where there's a perception where the United States very much sees AI as a race between themselves and China and is moving more towards isolationist positions, that it might be that the administration is saying that they should reduce cooperation with some of their allies," he said. uncertain
he → suppose → allies
In his post, which has been viewed more than 10 million times, Hubinger said "we really do earnestly believe" AI poses a species-ending risk to humans. asserted
AI → view → humans
"I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to," he added. asserted
he → believe → track
Hubinger works in AI alignment, which aims to build human ethical ideas and principles into the technology. asserted
which → work → technology
In other words, it aims to keep it on track with what humans value. asserted
humans → aim → what
Many leading researchers say those attempts appear to be failing, as demonstrated by a string of incidents this summer where AI agents - AI systems that are allowed to operate autonomously - carried out cyber-attacks. asserted
that → lead → attacks
OpenAI, Anthropic and Meta all disclosed hacks carried out by their AI tools. asserted
OpenAI → disclose → tools
In Anthropic's safety report from August, external, it wrote there was a low risk of its models becoming misaligned with a hypothetical powerful organisation's desires, causing it to exploit or tamper with its systems. asserted
it → write → systems
It also said there was a similarly low risk of highly-capable AI being able to "perform automated research and development" which could cause "catastrophic harm initiated by the AI". uncertain
which → say → AI
But it said it was "less confident in this assessment" than it was previously. asserted
it → say → assessment
"We are seeing early signs of potential acceleration," it wrote. asserted
it → see → acceleration
Leading figures in the AI field have been raising the alarm about the safety threat the tech poses for years, with the heads of OpenAI, Google Deepmind and Anthropic saying as much in 2023. asserted
heads → lead → 2023
But those warnings have become much more stark in recent weeks, as evidence emerges that firms may be struggling to control AI. uncertain
firms → become → AI
Earlier this month, OpenAI's chief scientist Jakub Pachocki called for "extreme caution" over AI's progress, warning more intervention may be needed to ensure "humans remain in control of the future". uncertain
humans → call → future
Major figures in the space have been calling for AI development to be slowed in recent months, including Anthropic bosses Dario Amodei and Jared Kaplan. asserted
development → call → Amodei
In an open letter signed by 1,300 staff members of AI firms, external, they called for the US government to "support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development". asserted
government → sign → development
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