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Mr. Informer Briefing: AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’
AI & Future • 2 min read • September 29, 2026 - 21:37

Mr. Informer Briefing: AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’

🤖 AI-assisted summary of third-party reporting — see our AI use policy

"The chance of human extinction is about a coin flip, in my view," Geoffrey Irving, a former OpenAI and Google DeepMind employee, said in a new interview.

"It's one of a dozen interviews with AI researchers, including current and former employees at OpenAI, Google, and Anthropic. Palisade Research, which says it's a nonprofit studying AIs' […]"

— The Verge

What this covers

This is a Mr. Informer briefing on AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’ — a detailed, automation-assisted summary of reporting from The Verge. Below you'll find the original reporting summarized in our own words, followed by editorial context on why this matters, technical background, and key takeaways. For full quotes, sourcing, and original detail, read the complete report at the source linked at the bottom of this article.

Why this matters

As artificial intelligence labs push toward increasingly advanced systems, warnings from prominent researchers highlight a growing anxiety over the potential existential risks of superintelligence. This discourse reflects a broader industry tension between accelerating capabilities and safety governance, emphasizing that insiders are seriously reckoning with worst-case scenarios. Readers should take away that safety concerns are not merely theoretical speculation, but a subject of active debate among those directly building these technologies.

Technical context

The excerpt highlights interviews conducted by Palisade Research, a nonprofit studying artificial intelligence, featuring perspectives from former and current employees of major AI labs like OpenAI, Google, and Anthropic. These researchers are evaluating the extreme capabilities of hypothetical superintelligence systems, which they view through the lens of severe existential risk, such as human extinction. The underlying technology relies on cutting-edge machine learning models whose future trajectories and safety bounds remain subjects of intense technical uncertainty.

Key takeaways

Read the full original report at The Verge →

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