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Chinese AI Model DeepSeek Surpasses ChatGPT, Shakes Global Tech Giants

DeepSeek's low development cost and impressive performance challenge Western dominance in AI. Crypto experts hail it as superior to ChatGPT, causing significant stock losses for tech giants.

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Chinese AI Model DeepSeek Surpasses ChatGPT, Shakes Global Tech Giants

A new AI model developed in China, DeepSeek, has taken the tech world by storm. It has surpassed ChatGPT in popularity and precision, and its success has sent shockwaves through global tech giants and financial markets.

DeepSeek's creation cost between $6 and $10 million, a fraction of the typical cost for similar models in the West. Despite its relatively low development cost, the R1 model delivers competitive results, potentially reshaping the global tech landscape, according to experts.

Crypto experts have recognized DeepSeek's potential, considering it superior to ChatGPT due to the absence of anti-Bitcoin bias. This has led to significant losses on Wall Street, with Nvidia's stock suffering historic drops. The company saw nearly $60 billion evaporate from its market capitalization in a single day. Microsoft and Google also suffered significant stock losses following the launch of DeepSeek.

The AI model is primarily developed by a small, relatively unknown startup. The company focuses its investments on new business areas such as commercial printing, medicine, network cameras, and industrial equipment, while moving away from dedicated camera production and planning further acquisitions in surveillance camera firms like Axis and Milestone.

DeepSeek's success has drawn attention from high-profile figures. Sam Altman, CEO of OpenAI, and Satya Nadella, CEO of Microsoft, have acknowledged DeepSeek's impressive capabilities and the need for U.S. companies to take Chinese developments more seriously. Even former U.S. President Donald Trump has considered DeepSeek's success a 'wake-up call' for U.S. tech companies.

DeepSeek's success has not only disrupted the AI landscape but also sent ripples through global tech giants and financial markets. Its low development cost and competitive performance have raised concerns and sparked conversations about the future of AI development and the global tech race.

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