10 Percent Chance AI Could Kill All Humans Within 'Next Decade,' Anthropic Worker Claims
Anthropic insiders express grave concerns about AI's potential to end humanity, with one employee estimating the risk above 10% within the next decade.
- On Wednesday, September 9, 2026, Anthropic researcher Jacob Coxon announced his resignation, claiming AI companies are racing toward an "endgame" that could "kill us all."
- Researchers warn that AIs are advancing toward self-improving superintelligence, technology's ability to create progressively more capable versions of itself that could soon hack secure environments and acquire real power.
- Anthropic safety researcher Evan Hubinger warned there is a greater than 10% chance AI could kill all humans within the decade, while Samuel Marks added that staff "desperately want to slow down" but face commercial pressure.
- Separately, the Financial Times reported that Anthropic withheld its latest model from the Safety Institute , while the company declined to comment on employee posts.
- While AI concern is not new, these warnings from internal staff at a leading lab are fueling industry anxiety, as Microsoft co-founder Bill Gates has also warned about society's lack of planning.
31 Articles
31 Articles
A researcher from Anthropic resigned by accusing artificial intelligence companies of endangering humanity. This belief is widely shared in the community, including by scientists considered to be the "fathers" of this technology. But it is also a marketing argument.
Anthropic Researchers Warn Advanced AI Could Pose Extinction Risk Within 10 Years
Three Anthropic researchers have publicly warned that rapidly advancing artificial intelligence could pose catastrophic risks to humanity within the next decade, while acknowledging that the ... The post Anthropic Researchers Warn Advanced AI Could Pose Extinction Risk Within 10 Years first appeared on [your]NEWS.
"Those who develop AI believe it could kill us by the end of the decade," says an ex-specialist in AI training at Anthropic
Coverage Details
Bias Distribution
- 63% of the sources lean Left
Factuality
To view factuality data please Upgrade to Premium













![[your]NEWS](/_next/image?url=https%3A%2F%2Fgroundnews.b-cdn.net%2Finterests%2Ffb6dc495f74049f513563c33352175eaa0ecd509.jpg%3Fwidth%3D60&w=128&q=75)









