Chinese artificial intelligence continues to advance at great speed. With the launch of DeepSeek, competition in the global technology sector has intensified. Its impact is already generating debate in the West.
In 2023, Chinese entrepreneur Liang Wenfeng founded DeepSeek. His company quickly became a benchmark in the artificial intelligence sector.
In a short time, his AI assistant was the most downloaded app on the Apple App Store, surpassing OpenAI's ChatGPT.
Liang Wenfeng was born in 1985 in Guangdong, China. He studied electronics at Zhejiang University.
In 2015, he founded High-Flyer Quant, a hedge fund based on machine learning. His company managed to handle assets worth more than 8 billion dollars.
With his experience in technology and finance, he decided to expand. In 2023, he founded DeepSeek with a clear goal: to boost artificial intelligence in China and reduce the innovation gap with the West.
Concerns about espionage and propaganda
The success of DeepSeek has also raised concerns. Experts warn that the platform could collect personal data and share it with the Chinese government.
Additionally, there are fears that the AI could censor sensitive topics and favor narratives aligned with the Chinese Communist Party.
DeepSeek Censorship | La Derecha Diario
International reactions
The expansion of DeepSeek has provoked various reactions globally. Many highlight its accessibility and performance.
However, others warn about privacy and security risks. Governments and experts have recommended using the platform with caution.
Some countries are considering regulating the use of foreign artificial intelligences. China's censorship and surveillance laws have been pointed out as a risk factor.
Implications for the future of AI
The growth of DeepSeek reinforces competition in artificial intelligence. This opens the debate on the ethics, security, and regulation of these technologies.
Chinese companies continue to innovate and expand. It is essential that governments and users evaluate the risks and benefits.
The creation of data protection frameworks is key to ensuring the safe use of these platforms.
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