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Turing Award Winner Likun Yang: Development of Large Language Models is Approaching a Bottleneck, AI Cannot Achieve Human-Level Intelligence by Relying on Text Training Only
Yann LeCun, Turing Award winner and Meta's chief AI scientist, was a guest on the "Big Technology Podcast", which aired on the 20th, and talked about why current generative AI is difficult to make scientific discoveries and how AI will develop in the future. He said that existing AI technologies, such as big language models, are essentially based on text training and generate answers through statistical laws, and cannot "create new things", so there are limitations. Human beings are able to use common sense and mental models to think and solve new problems, and this...- 1.5k
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Meta Chief Scientist Li-Kun Yang: At least five to six years are needed to realize AGI optimistically.
Meta Chief Scientist and Turing Award winner Yann LeCun (note: Yann LeCun, French) talked about his views on general artificial intelligence on the 29th "Into the Impossible" podcast. He said that the negative effects of AI are currently overblown and that its capabilities are still very limited. "In the most optimistic scenario, the realization of AGI is at least 5-6 years away." At present, society is generally worried about AI, and there is even a lack of views about the "possible doom" of AI, which Yang Likun believes has overlooked the fact that AI is ...- 4.1k