在IT领域中，一些前沿概念和技术背后的历史源头常常被人忽略。最近，普林斯顿大学教授承现峻提出一个观点，引起了热议。他指出，实际上早在73年前，克劳德·香农已经在AI领域埋下了一颗种子。
据承现峻教授所述，在贝尔实验室工作的克劳德·香农于1951年提出了预测下一个单词的问题。这个问题看似简单，但却是当今大热的大语言模型（LLM）的最初原理。这使得人们开始重新认识到克劳德·香农在AI领域的贡献和影响。随着今天的大模型不断发展和推进，很多人意识到香农的贡献正开始在这个方向上展现出重大影响。如今我们正处在通向通用人工智能（AGI）的历程中，而这个过程中有着诸多环节离不开大模型的支持。然而其起源可追溯至克劳德·香农所提出的理论观点，这在历史上堪称一种具有前瞻性的预测和开创性的贡献。这也解释了为什么现在人工智能领域如此繁荣的背后有着深厚的历史积淀。这位祖师爷的贡献值得我们去缅怀和深思。此次观点的提出进一步证明了科学的不断前进是在已有的知识和基础上不断进行发展创新的历程。承现峻教授的话揭示了众多科技成果的起源背后的历史故事和各个科研大师的重要贡献，引人深思。在此中我们可以发现，科学的发展并非一蹴而就，而是经过无数科研人的不断实践探索累积而逐步成熟的产物。
普林斯顿大学教授的这个发现也让大众看到科技与发展的时间线之长，以及对于历史知识的尊重与传承的重要性。同时，也提醒我们，未来的科技发展之路仍然需要不断的探索和创新。例如上文提到的众多技术成果及其背后的大佬都将成为我们对于人工智能这一新兴领域认知中的重要一环。可以说我们如今在人工智能领域取得的成就离不开这些前辈们辛勤耕耘和开创性的贡献。他们的贡献是我们不断前行的动力源泉也是我们对于未来保持信心和期待的重要原因之一。更值得期待的是今后在这个领域中还会有更多富有创造力和冒险精神的研究者不断探索和发展前沿技术创造更加美好的明天让科技真正服务于人类社会的发展和进步。
英语如下：
News Title: Shannon Buries the Seed of AI Archaeology: Ancestor Guides the Tide of Big Model Development
Keywords: Shannon and AI Archaeology, LLM Origin, Ancestor’s Contribution
News Content:
Claude Shannon: Pioneer in AI, Sowing Seeds for Language Models
In the IT field, the historical origins of some cutting-edge concepts and technologies are often overlooked. Recently, Professor Cheng Xianjun from Princeton University made a view that has sparked heated debate. He pointed out that actually, 73 years ago, Claude Shannon had already laid a seed in the field of AI.
According to Professor Cheng, Claude Shannon, who worked at Bell Labs in 1951, proposed the problem of predicting the next word. This seemingly simple question is actually the original principle of today’s popular large language model (LLM). This has made people begin to rediscover Claude Shannon’s contributions and influence in the field of AI. As big models continue to develop and advance today, many people realize that Shannon’s contributions are beginning to show significant impact in this direction. Now we are on the path to achieving artificial general intelligence (AGI), which relies heavily on big models. However, its origins can be traced back to Claude Shannon’s theoretical views, which are groundbreaking contributions with historical significance. This also explains why the current prosperity of the AI field is supported by a deep historical foundation. This ancestor’s contribution deserves our respect and deep thinking. The view proposed by Professor Cheng further proves that the continuous advancement of science is a process of development and innovation based on existing knowledge and foundation. Professor Cheng’s words reveal the historical stories behind the origins of many technological achievements and the important contributions of various scientific researchers, which is thought-provoking. It can be found that scientific development does not happen overnight, but is a product of continuous practical exploration and accumulation by countless researchers.
The discovery by the Princeton University professor also reminds the public of the long timeline of technology and development, as well as the importance of respecting and inheriting historical knowledge. At the same time, it reminds us that the road of future technological development still needs continuous exploration and innovation. The technical achievements mentioned above and the masters behind them will become an important part of our cognition of the emerging field of artificial intelligence. It can be said that our achievements in the field of artificial intelligence today are inseparable from the hard work and groundbreaking contributions of these predecessors. Their contributions are not only the driving force for our continuous progress but also an important reason for us to maintain confidence and expectations for the future. What is more promising is that in the future, more creative and adventurous researchers will continue to explore and develop frontier technologies, creating a better tomorrow and truly serving the development and progress of human society.
【来源】https://www.jiqizhixin.com/articles/2024-07-02-6
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