U.S. programmer employment hits a new low since 1980 due to AI shock
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The AI war drum has been beaten, and the charge is about to sound! Kai-Fu Lee, a tycoon in the technology circle, recently issued a heavy prediction: 2025 is by no means ordinary, but the first year of AI applications' explosion, and it is also a "life and death test" on the battlefield of commercialization of large models! Opportunities and challenges coexist, and a storm of change related to the future pattern of AI is brewing.
Kai-Fu Lee’s bold words were not groundless, but based on his profound insight into industry trends. He took the emergence of DeepSeek as an example and excitedly stated that this is not only a stunning debut of China's AI power, but also the strongest sound of open source worldwide! The emergence of DeepSeek is like a guiding light, allowing people to clearly see that open source will surely become the ultimate answer in the field of big models!
The future AI world will no longer be a cold competition of technical parameters, but who can better embrace open source and transform the open source model into an engine that drives business growth. Kai-Fu Lee firmly believes that China, a fertile ground with unthinkable application scenarios, will surely become the best stage for the commercialization of open source models. In 2025, Chinese companies are expected to be the first to embrace open source, stand out in the global wave of AI commercialization, and showcase China's speed and Chinese wisdom.
However, ideals are full, but reality also has skinny challenges. Kai-Fu Lee frankly pointed out that although DeepSeek has the courage to open source, it is still immature in commercial practical experience. Enterprises will inevitably encounter "growth troubles" when implementing and deploying, such as the huge demand for GPU computing power and the strict requirements for special configurations. It is not difficult to understand why the concept of "all-in-one" has become popular recently - it can not only solve deployment problems, but also build a solid defense line for data security.
The deeper challenge is that DeepSeek generously opens the model, but does not simultaneously open up the code and solutions for core links such as pre-training, supervised learning, and reinforcement learning. This means that companies still need to make huge efforts to make deep customization and optimization based on DeepSeek and fill the technical gaps themselves. This is undoubtedly a difficult problem that all enterprises trying to use open source underlying models for commercialization must face.
In addition, the cliché issue of "illusion" in the big model is still hovering over AI applications like a ghost. Every company is eager to connect big models with its huge industry database, CRM, and ERP systems in real time to reduce illusions and improve the accuracy of answers. However, DeepSeek's existing networking solutions are obviously unable to meet the personalized needs of all enterprises, and problems such as untimely data updates and incomplete information still exist.
In 2025, opportunities and challenges are intertwined, and open source and business are dancing together. The future of AI is full of infinite possibilities and unknown variables. Who can take the lead in delivering a full-scoring answer in this "big test" of AI commercialization triggered by an open source model? Let's wait and see!
