The Guardian view on controlling AI: humanity cannot outsource its survival | Editorial
Keeping people in charge means little if supercomputers determine the evidence, choices and time on which their decisions depend If there were a 10% chance that AI could wipe out humanity, no responsible government would leave its development to companies racing to build it. Yet until recently, that seemed to be the case. The warning was all the more ominous because it was made by a researcher at Anthropic , the trillion-dollar AI company behind the Claude chatbot. The dangers of AI-enabled pandemics or attacks on nuclear systems are real. Countries need not agree on democracy or trade policy to accept this. The US and China will hold, reportedly , their first bilateral AI-safety talks before a planned White House summit between Donald Trump and Xi Jinping. Despite their tech rivalry, neither Washington nor Beijing can make the most advanced AI safe on their own. A US-China settlement won’t be able to say how AI works everywhere. Countries deploying AI must help write the global rulebook. The odds on an extinction event are shortening. This week Anthropic said that it identified five cases in which attempts were made using its models to support biological weapons development. It banned the accounts. In one case, a platform sent requests rejected by Claude to a rival with weaker safeguards . AI safety, clearly, cannot be that of the least responsible model. Do you have an opinion on the issues raised in this article? If you would like to submit a response of up to 300 words by email to be considered for publication in our letters section, please click here . Continue reading
Every model that read this
| Model | Provider | Stage | Score | Conf. | Latency | Prompt | When |
|---|---|---|---|---|---|---|---|
| Llama 3.3 70B | Meta | analysis | -70 | 80% | 3903ms | v1.0.0 / m1.0.1 | 2026-09-11 18:17 |
| GPT-4.1 mini | OpenAI | consensus | -60 | 85% | 4394ms | v1.0.0 / m1.0.1 | 2026-09-11 18:20 |
| Claude Sonnet 5 | Anthropic | consensus | -55 | 60% | 11197ms | v1.0.0 / m1.0.1 | 2026-09-11 18:20 |
| Gemini 2.5 Flash | consensus | -100 | 90% | 1885ms | v1.0.0 / m1.0.1 | 2026-09-11 18:20 | |
| Mistral Small 3.1 24B | Mistral AI | consensus | -75 | 90% | 8308ms | v1.0.0 / m1.0.1 | 2026-09-11 18:20 |
AI poses existential risks
The article presents credible concerns about AI posing existential risks including potential for extinction events. It highlights dangers such as AI-enabled biological weapon development and challenges in AI safety governance at a global level. These factors point to significant societal risks and need for control, justifying a materially concerning dystopian implication.
The editorial cites concrete evidence of bioweapon-related misuse attempts and a researcher's extinction-risk estimate, both concerning, though the 10% figure is speculative and attributed rather than measured. Governance talks offer a modest counterweight, but overall implication for human flourishing is materially negative.
The article warns of a 10% chance of AI wiping out humanity and highlights real dangers like AI-enabled pandemics and attacks on nuclear systems. It cites Anthropic's finding of attempts to use its models for biological weapons development. The piece emphasizes that global cooperation is essential to prevent these catastrophic outcomes.
The article presents a significant risk of AI leading to human extinction. Specific dangers include AI-enabled pandemics and attacks on nuclear systems. The identification of attempts to use AI for biological weapons development highlights real-world risks.
Evidence extracted
- AI could wipe out humanity with a 10% chance
- AI-enabled pandemics or attacks on nuclear systems are real
- Countries deploying AI must help write the global rulebook
SOURCE The Guardian: Artificial Intelligence (tier 1)
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DOCUMENT 9248f7f9-1f4c-45c1-a25b-25546e823d0c
https://theguardian.com/commentisfree/2026/sep/11/the-guardian-view-on-controlling-ai-humanity-cannot-outsource-its-survival
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EVIDENCE 3 extracted excerpts
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MODEL RUN 5 runs, methodology 1.0.1
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SCORE -72 (Strongly adverse)
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CONFIDENCE 81%