An Anthropic alignment lead publicly stated a >10% chance of human extinction from AI within a decade. This creates a paradox: if a company truly believes its work carries such a high risk of global catastrophe, the logical response would be to shut down, not to continue development while trying to solve alignment.

The conversation about AI causing human extinction isn't led by outsiders but by insiders. After a researcher resigned from AI firm Anthropic over safety concerns, his former boss—the head of the AI safety team—publicly agreed, estimating the chance of AI ending the world at a staggering 10%.

Public proclamations of AI-driven extinction, like an Anthropic researcher's 10% odds of human annihilation, may be a deliberate strategy. By presenting worst-case scenarios, these individuals aim to trigger urgent conversations and push the industry and regulators toward implementing stronger safety measures.

While not a consensus, surveys of AI researchers reveal significant concern. The median respondent in a large survey assigned a 5% probability to human extinction or a similar disaster from AI, with a third to a half placing the risk at 10% or higher, suggesting the threat is taken seriously within the field.

Small, seemingly harmless instances of reward hacking today are direct evidence for existential risk. There is no natural cutoff point where a slightly misaligned model will suddenly 'become good' once it gains world-altering capabilities.

The leaders of top AI labs have signed statements acknowledging AI could cause human extinction. Yet, a safety report gives them failing grades on 'existential safety,' finding it jarring that these same leaders are actively building superintelligence without any articulated plan for how to maintain human control over the technology.

The risk of human extinction from AI isn't just science fiction but a logical conclusion. If we successfully create an intelligence that is both smarter than us and capable of pursuing its own goals, there is no logical reason to believe we could maintain control over it.

The debate reveals a massive divergence in perceived AI extinction risk. Experts like Roman Yampolskiy see it as a near certainty if superintelligence is built, while Andrew McAfee and Ed Zitron view it as a rounding error, highlighting a deep ideological divide in the field.

Rohin Shah, head of AGI safety at DeepMind, believes existing arguments for catastrophic misalignment are only suggestive, not compelling. While sufficient to warrant significant safety work, he sees major holes in arguments that it's the likely or default outcome of AGI development.