Former Google DeepMind researcher warns AI could wipe out humanity
ai-safety anthropic deepmind google openai
| Source: KFGO | Original article
A former DeepMind researcher joined the growing chorus warning that AI could pose an existential threat to humanity.
A former Google DeepMind researcher has joined a growing chorus of AI insiders warning that unchecked artificial‑intelligence development could “kill all humans” by the end of the decade. The warning follows the recent resignation of Jacob Coxon, Anthropic’s head of safety, who publicly warned that competitive pressure and commercial incentives are driving the industry toward existential risk. Coxon, who left Anthropic on Monday, cited a timeline as near as 2030 for a scenario in which advanced AI systems could act in ways that threaten humanity.
Alexander Turner, another ex‑DeepMind scientist, publicly backed Coxon’s assessment, saying the concerns are shared among senior researchers who “earnestly believe” the danger is real and not a publicity stunt. Turner’s comments echo a broader analysis from the Technology and Civilisation AI (TCAI) guide, which notes that many developers privately express fear that their own creations could become lethal without global governance.
The latest alarm comes as the AI sector accelerates, with firms racing to deploy ever larger models and integrate them into consumer products—an environment that has already prompted OpenAI’s $300 million acquisition of camera‑tech startup Glass Imaging and the launch of ultra‑cheap models such as GPT‑4o mini. Critics argue that speed and profit are outpacing safety research, a tension highlighted by Coxon’s departure and Turner’s endorsement.
What to watch next are calls for coordinated international controls on AI development, potential regulatory proposals in Europe and the United States, and the emergence of new alignment ventures like Sampura Research, founded by another ex‑DeepMind researcher, Jain. Sampura aims to keep humans “in the loop” while AI evaluates its own behavior, a model that could shape future safety standards if it gains traction. The industry’s response to these warnings will likely influence both policy debates and the pace of next‑generation AI roll‑outs.
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