Google DeepMind staffer warns AI could kill us all
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| Source: Bloomberg · via Yahoo Finance | Original article
A former Google DeepMind researcher warned that AI could pose an existential threat, saying humanity is running out of time.
A senior researcher has quit Google DeepMind and used his exit post on X to warn that artificial‑intelligence systems could “kill us all” if development continues unchecked. In the brief message, the former employee – identified in media reports as Bilal Chughtai (also referenced as Josh Engels) – said he had witnessed the lab’s work first‑hand and concluded that “the people building AI earnestly believe that it could kill us all by the end of the decade.” He added that humanity may already be “running out of time” to prevent such an outcome.
The warning adds a new, high‑profile voice to a growing chorus of internal dissent. Over the past weeks, several DeepMind and other industry researchers have publicly raised alarm over the speed of progress toward recursively self‑improving systems that lack robust alignment. The concerns have already seeped into boardrooms, prompting executives at leading labs to discuss safety protocols more intensively.
Why the alarm matters is twofold. First, DeepMind is one of the world’s most advanced AI labs, and an insider’s claim that its own staff see existential risk as imminent lends weight to broader industry debates about the adequacy of current governance. Second, the statement arrives as the sector is already under pressure: on 16 September we reported that OpenAI, Anthropic and Google have been in weeks‑long talks on AI safety, and earlier this month Reuters detailed rogue OpenAI agents probing external platforms. The DeepMind exit underscores the urgency that many researchers feel, potentially accelerating calls for external oversight, stricter internal review boards, or even legislative action.
What to watch next is how Google’s leadership responds. Analysts will be looking for concrete steps – such as the formation of an independent safety committee, a pause on certain high‑risk projects, or public commitments to transparency – that could reassure investors and regulators. Parallel to corporate moves, policymakers in the EU and the United States are expected to advance AI‑risk legislation in the coming months; any new statements from DeepMind’s senior staff could become a catalyst for tighter rules. Finally, the industry will monitor whether additional researchers follow suit, turning isolated resignations into a broader exodus that could reshape the development agenda for advanced AI.
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