【英伟达CEO黄仁勋预言：通用人工智能五年内将通过任何人类测试】在近日于美国加州举行的斯坦福经济政策研究所峰会上，英伟达的首席执行官黄仁勋发表了一项大胆预测，他认为，通用人工智能（AGI）将在未来五年内实现，能够通过任何人类的测试，这标志着AI技术将迎来重大突破。
黄仁勋的这一观点引发了业界的广泛关注。他指出，随着计算能力的持续增强和算法的不断优化，人工智能的进步速度远超预期。一旦AGI得以实现，其智能水平将达到与人类相当的程度，能够理解和解决复杂的问题，从而在众多领域产生深远影响。
然而，对于OpenAI的CEO萨姆·奥特曼提出的计划，即投资5万亿美元至7万亿美元建立芯片制造网络，黄仁勋则表达了不同的看法。他认为这样的巨额投入并非必要，因为现有的技术进步速度和市场驱动力已经足够推动AI产业的快速发展。他强调，更应关注技术创新和效率提升，而非单纯依赖大规模的资本投入。
黄仁勋的言论反映出对AI技术未来发展的乐观态度，同时也提醒业界在追求技术进步的同时，需审慎评估投资策略，确保资源的有效利用。这一观点为全球AI行业的未来发展路径提供了新的思考角度。
英语如下：
**News Title:** “NVIDIA CEO Jensen Huang: AI Will Pass Any Human Test Within Five Years, Marking a New Era in General Intelligence”
**Keywords:** Jensen Huang, AI, Five-Year Prediction
**News Content:** **NVIDIA CEO Jensen Huang Foresees General AI Passing Any Human Test in Five Years** – At the recent Stanford Institute for Economic Policy Research summit in California, Jensen Huang, CEO of NVIDIA, made a bold prediction: that General Artificial Intelligence (AGI) will be achieved within the next five years, capable of passing any test a human could. This milestone signifies a major breakthrough in AI technology.
Huang’s viewpoint has garnered significant attention in the industry. He argues that with ongoing advancements in computational power and optimization of algorithms, AI’s progress is surpassing expectations. Once AGI is realized, its intelligence level would match that of humans, enabling it to understand and solve complex problems, thus exerting profound impacts across various sectors.
However, Huang differs from OpenAI CEO Sam Altman’s proposal to invest $5 to $7 trillion in building a chip manufacturing network. He believes such massive investment is unnecessary, as current technological progress and market forces are already propelling the AI industry’s rapid development. Huang emphasizes the importance of innovation and efficiency improvements over mere reliance on large-scale capital injection.
Huang’s remarks reflect an optimistic outlook on the future of AI technology while cautioning the industry to prudently assess investment strategies to ensure efficient resource allocation. This perspective offers a new dimension for considering the global AI industry’s development trajectory.
【来源】https://www.cls.cn/detail/1608890
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