The newest breakthrough of China's newest artificial intelligence has rattled American security experts, showing the new Deepseek model that Beijing can innovate around American limitations and possibly reform the global AI landscape.
The “reasoning” model of the Chinese company, released during Trump's inauguration, corresponds to the best American systems and costs a fraction to develop. Deepseek says that it has spent less than $ 6 million using 2,000 lower chips compared to the Meta Platforms system (Nasdaq: Meta) for which 16,000 Premium processors require.
The cost benefit indicates a shift. While American companies spend tens of millions of AI models, Chinese companies have found ways to create competitive systems, despite export controls on advanced semiconductors.
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The development threatens the technological lead of America, just as AI becomes crucial for military superiority.
“System Destruction Warfare” is in the heart of the Chinese military AI strategy, according to the Center for European Policy Analysis. The approach is aimed at vulnerable connections between enemy sensors and platforms, using AI to process battlefield data and to identify weaknesses for precision attacks.
The efficiency gain in Chinese AI development has broader implications. If good enough models can be trained cheaply, they will spread worldwide as countries seek technological independence of American systems. The rising cost-query can also stimulate the development of specialized AI models that have been optimized for specific tasks.
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“Even if the industry remains on the first track, the widespread acceptance of Chinese AI all over the world could give the CCP enormous political influence,” the economist reported last week and noted that “in the worst case, AI could be so deadly are like nuclear weapons such as nuclear weapons.
Security experts warn that China's progress requires an American reaction that goes beyond export controls. Although restrictions on the sale of semiconductors have delayed Chinese progress, Beijing's ability to innovate around obstacles suggests that a more extensive strategy is needed.
The deployment goes beyond military applications.
