The popularity of DeepSeek is evident from its performance in the app stores. Its mobile app has quickly surpassed many competitors, including the well-known ChatGPT, in just a few days after its release.

It has already sparked a wave of AI usage among internet users of all ages in China, becoming the biggest dark horse in the tech world in 2025. Moreover, globally, DeepSeek's download volume has soared, ranking first on the mobile app download charts in over a hundred markets, causing a stir in the world of capital.

So, why are Deepseek R1 and Deepseek V3 so popular? As is well known, prompt engineering is crucial in generative AI tools like ChatGPT. However, most ordinary users lack systematic training and struggle to break down complex problems into executable instructions for AI, thus failing to fully leverage the potential of AI.

The reason why the DeepSeek R1 and DeepSeek V3 models have caused a sensation in the AI community is largely because they are like a 'savior' for ordinary users.

Compared to traditional AI assistants, the biggest advantage of DeepSeek is its ability to think deeply like a human. It not only masters the grammatical and semantic rules of language but also deeply understands the emotions, intentions, and cultural connotations behind the language. It can break down users' complex needs into a series of executable tasks, achieving natural and fluent dialogue with users. Even if the initial input from users is not precise, DeepSeek can optimize the tasks through dynamic feedback to meet user needs and produce the expected results. This capability greatly lowers the barrier to AI interaction, allowing users to efficiently use AI without mastering prompt design. In particular, DeepSeek R1 displays the chain of thought (CoT) when answering user questions.

This unique interaction allows users to gain a deeper understanding of the model's thinking process, enhancing the interaction and trust between users and the model, which has attracted a large number of users' attention and usage.

On the other hand, DeepSeek has achieved top-tier performance at an extremely low cost, once again proving its technical excellence.

The DeepSeek V3 model, released on December 26, 2024, has 671 billion parameters and performs comparably to the leading closed-source models GPT-4o and Claude-3.5-Sonnet, with a total training cost of only $5.576 million, about 1% of GPT-4o.

On January 20, 2025, DeepSeek officially released the DeepSeek R1 model, which is the first model to significantly improve reasoning capabilities through reinforcement learning alone, without supervised fine-tuning. It is like a 'self-taught genius' that has mastered strong reasoning abilities on its own and applied them to other fields.

DeepSeek R1 performs on par with the official OpenAI o1 version in tasks such as mathematics, coding, and natural language reasoning, making it a 'game-changing' presence in the AI community.

In addition to the aforementioned models, DeepSeek continues to expand its technological boundaries. The rapid rise of DeepSeek in the field of artificial intelligence holds endless possibilities for its future development.