In recent days, DeepSeek's innovative breakthroughs in artificial intelligence technology have caused significant fluctuations in international money, capital and economic markets. Details of these developments and comments on the future:
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DeepSeek's Impact on Markets
1. Selling Pressure in Technology Stocks
Unlike giants such as OpenAI and Google, DeepSeek has developed impressive artificial intelligence models at much lower costs and using fewer chips. This has led to major declines in the shares of chip manufacturers, especially Nvidia. While Nvidia's shares lost nearly 17%, its market value decreased by approximately $600 billion.
2. US Technology Giants' Competition Concerns
DeepSeek's open-source and cost-effective models question the dominance of companies such as OpenAI, Meta and Microsoft in the field of artificial intelligence. This has also caused declines in the shares of these companies.
3. Effects on the Chip and Semiconductor Sector
DeepSeek's development of high-performance models using fewer chips has disrupted the demand balance in the semiconductor sector. This has also led to declines in the shares of companies such as Broadcom and ASML.
4. Fed and Monetary Policy Expectations
The decline in technology stocks due to DeepSeek's impact may also affect the interest rate decisions of the US Federal Reserve (Fed). Investors see a 59% chance that the Fed will cut interest rates in May.
5. Fluctuations in Global Markets
European and Asian stock markets also experienced selling pressure led by technology stocks. Semiconductor companies in Japan in particular suffered major losses.
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Factors Behind DeepSeek's Success;
1. Low-Cost Training
The DeepSeek-V3 model was trained for just $5.5 million. This is a figure well below the cost of OpenAI's models such as GPT-4.
2. Open Source and Accessibility
DeepSeek has made its models open source, making them accessible to small businesses and developers. This has contributed to the democratization of AI technology.
3. Innovative Techniques
DeepSeek has achieved high performance with fewer resources by using a āmixture of expertsā architecture and techniques such as reinforcement learning.
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Future Comments
1. Competition in the AI āāSector Will Increase
DeepSeekās success has created a āSputnik momentā in the AI āāfield between the US and China. This could trigger both a technological and geopolitical competition.
2. Costs Will Fall, Access Will Increase
DeepSeekās low-cost models could make AI technology more accessible to the masses. This could be a big opportunity, especially for small businesses and developing countries.
3. New Balances in the Chip Industry
DeepSeek's success using fewer chips may cause chip manufacturers to reconsider their strategies. This may trigger the emergence of new business models in the sector.
4. Regulation and Security Issues DeepSeek's open-source models may lead to new regulations against the misuse of AI technology.
5. Environmental Impacts
Using fewer resources can reduce the environmental impacts of AI training. This can accelerate efforts to develop sustainable AI.
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Conclusion
DeepSeek's innovative breakthroughs in the field of AI have had a major impact on both technology and financial markets. These developments may be the beginning of a new era in the AI āāindustry. In the future, more accessible, low-cost and sustainable AI solutions are expected to become widespread. However, competition, regulation and security issues will also play an important role in this process.
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