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Microsoft Founder Bill Gates Issues Public Warning: AI Could Cause One Billion Deaths

Recently, Microsoft founder Bill Gates presented a rather impactful viewpoint in a public interview, suggesting that uncontrolled AI development could, in the worst-case scenario, lead to an extreme catastrophic event resulting in the deaths of one billion people.

During an exclusive interview with NBC, Gates did not make any ambiguous statements about the potential risks of AI. He directly and clearly stated that the rapidly iterating artificial intelligence of today has capabilities powerful enough to trigger extreme black swan events affecting the deaths of billions of people.

He explained that human civilization has never encountered such a dangerous combination before. Once malicious extremists get their hands on the latest generation of AI tools, it would be equivalent to possessing new weapons of mass destruction with destructive power far exceeding conventional weapons, and the corresponding potential risks are completely unpredictable.

微软创始人比尔盖茨公开发警告 AI或致十亿人死亡

Gates also clearly stated in the interview that specific legislation must be introduced as soon as possible to restrict the practical application of artificial intelligence, keeping the boundaries of technological development within safe and controllable limits.

In fact, before Bill Gates made his public statement this time, Dario Amodei, CEO of leading AI company Anthropic, had already taken the lead in issuing a call. For the sake of common human safety, everyone should proactively slow down the development pace of new generations of artificial intelligence models with larger parameter scales and stronger capabilities, to avoid risks spiraling completely out of control.

Well-known billionaire Elon Musk (owner of SpaceX and affiliated AI companies), as well as OpenAI CEO Sam Altman, have previously publicly expressed full agreement with this call, believing that the priority of safety constraints on AI is currently no less than the pace of technological iteration itself.

Today, top practitioners in the global tech industry have collectively sobered up from the frenzy of merely chasing the speed of AI technological iteration. Technology has never had inherent good or evil attributes; whether unified regulatory rules for all humanity can be established before technology spirals completely out of control has become the most core unresolved issue in the current development of the AI industry.