English summary /#DeepSeek
### Summary: DeepSeek's Innovation and Its Impact on the AI Industry

1. **Background**: Training cutting-edge AI models is extremely costly. Companies like OpenAI and Anthropic invest hundreds of millions of dollars in massive data centers with thousands of high-end GPUs.

2. **DeepSeek's Challenge**: DeepSeek achieved comparable or superior performance to GPT-4 and Claude at just 1/20th the cost—$5 million. This has sent shockwaves through the AI industry.

3. **Innovative Approach**:
   - **Efficiency**: Reduced memory usage by 75% compared to traditional AI models.
   - **Multi-Token System**: Processes entire sentences at once, improving speed and accuracy.
   - **Expert System**: Activates specialized modules only when needed, maximizing efficiency.

4. **Results**:
   - Training cost: $100 million → $5 million
   - GPUs required: 100,000 → 2,000
   - API cost: 95% reduction
   - Can run on gaming GPUs instead of data center hardware

5. **Open Source**: All code and technical papers are publicly available, ensuring transparency.

6. **Significance**:
   - Breaks the notion that only big tech companies can develop advanced AI.
   - Increases accessibility, intensifies competition, and reduces hardware costs.

7. **Disruptive Innovation**: DeepSeek rethinks traditional approaches, focusing on smarter engineering rather than brute force. This marks a potential inflection point, akin to the rise of PCs or cloud computing.

8. **Future Outlook**: AI will become more accessible and affordable, significantly impacting existing players in the industry.

### Conclusion: DeepSeek's innovation is poised to revolutionize the AI industry, democratizing AI development and forcing major players to rethink their strategies.