Jensen Huang, the CEO of NVIDIA, participated in the Economic Policy Research Summit hosted by Stanford University. During the event, he responded to a question regarding the timeline for AI to achieve human-like thinking capabilities. Huang stated that the question is quite broad and depends on the level of complexity we set as the goal. However, if we frame it as AI being able to perform all tests that humans can, it may be achievable in less than 5 years. Currently, AI can already excel in exams across various subjects just like humans, although certain areas still pose challenges.
Moreover, Huang emphasized that achieving Artificial General Intelligence (AGI) where AI can perform all tasks like humans may take longer. There are differing opinions on whether computers can truly replicate human thought processes. In response to a question about the number of chip manufacturing fabs needed to meet the demand for AI, Huang highlighted the necessity for more fabs. For instance, OpenAI CEO Sam Altman is seeking funds to establish chip manufacturing fabs, indicating a definite increase in chip demand. However, chip performance continues to improve steadily, limiting the need for an unlimited increase in demand. Algorithms and AI processing capabilities are also advancing, with NVIDIA designing chips that are a million times more efficient in the past 10 years.
TLDR: Jensen Huang discussed the timeline for AI to achieve human-like thinking, highlighting the potential for AI to perform all tasks like humans within the next 5 years, while emphasizing the ongoing advancements in chip manufacturing to support the growing demand for AI technology.
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