### Key Facts and Information 1. **Deep Seek R1 Model**: - Recent launch that quickly gained popularity, surpassing ChatGPT and Google Gemini in the Apple App Store. - Demonstrated competitive performance in benchmarks against leading models from OpenAI and Anthropic. 2. **Development Insights**: - Created as a side project in about two months, with an estimated cost under $10 million. - Open-source nature allows for reverse engineering and community contributions. 3. **Industry Impact**: - Nvidia's stock dipped significantly due to Deep Seek's release, challenging its historical dominance in AI hardware. - Deep Seek’s architecture allows it to run on diverse hardware, reducing reliance on Nvidia's graphics cards. 4. **Sustainability Aspect**: - Potential to repurpose older hardware for AI applications, helping reduce electronic waste. - Similar projects, such as the U.S. Air Force's Condor Cluster made from PS3 consoles, exemplify creative uses of existing resources for computational tasks. 5. **Performance Comparison**: - **Basic Queries**: Both Deep Seek and ChatGPT accurately answered simple queries about letter counts and riddles. - **Reasoning Display**: Deep Seek provides its reasoning within "think tags," offering insights into its thought process akin to human reasoning. 6. **Programming Tasks**: - Deep Seek struggled with generating accurate code for a snake game in Rust, admitting unfamiliarity with the language. - ChatGPT, on the other hand, successfully delivered operational code without issues and did not indicate any limitations in its knowledge of Rust. 7. **Complex Problem Solving**: - In tests involving multi-step problem-solving, Deep Seek sometimes failed to think critically about reorienting packages, while ChatGPT succeeded. - Deep Seek's responses showed some rigid reasoning and missed understanding certain contextual cues, leading to incorrect conclusions. 8. **Censorship**: - Concerns noted about potential censorship in Deep Seek, reflecting the limits of its knowledge and reasoning compared to Western AI counterparts like ChatGPT. - Ongoing adjustments to improve reasoned outputs beyond existing restrictions are anticipated. 9. **User Accessibility**: - Easy local installation for users who wish to experiment with AI models, marking a shift in how AI can be deployed and utilized by individuals. 10. **Future Considerations**: - The rise of Deep Seek may lead to increased competition in the AI hardware and software market, promoting innovation and more cost-effective solutions in AI development. This concise summary encapsulates the critical points regarding the emergence of the Deep Seek AI model, its implications for the industry, and performance comparisons with other leading AI models.