DeepSeek’s Vulnerabilities and Challenges: A Critical Analysis

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Recently, the Chinese startup DeepSeek unveiled its new AI model, creating a buzz in the tech world. However, concerns have emerged regarding its accuracy, reliability, and overall performance.

Lack of Accuracy

An audit by NewsGuard found that DeepSeek’s chatbot achieved only 17% accuracy, significantly lower than its Western competitors. The chatbot repeated false information 30% of the time and provided irrelevant or unclear responses 53% of the time, leading to an overall failure rate of 83%. This raises serious doubts about the effectiveness of DeepSeek’s technology.
(Source: Reuters)

Server Overload and Cybersecurity Issues

DeepSeek’s chatbot app quickly topped Apple’s App Store charts, but users are now experiencing frequent “Server is Busy” errors. The surge in users has led to server overload issues. Additionally, concerns over cyberattacks have forced the company to temporarily restrict new user registrations.
(Source: The Sun)

Reliability of Information and Censorship Concerns

DeepSeek’s chatbot provides responses that align with the Chinese government’s stance, raising concerns among researchers about bias and misinformation. It may distort historical and political facts, limiting its usefulness for objective research.
(Source: The Diplomat)

Doubts About Training Costs and Capabilities

DeepSeek claims that its V3 model was trained for just $5.58 million, a fraction of the cost of competing AI models. However, industry analysts question the feasibility of this claim and believe that more transparency is needed regarding the actual expenses and computing resources used.
(Source: Asia Times)

These issues raise serious concerns about the accuracy, reliability, and fairness of DeepSeek’s AI model. As AI technology continues to evolve, ensuring precision, neutrality, and security remains a top priority for researchers and users worldwide.

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