OpenSeek
OpenSeek bypasses DeepSeek's R1 censorship by translating queries to Russian language.
Overview
OpenSeek is an innovative research project that explores how language translation affects AI responses, particularly focusing on potential censorship and bias in AI systems.
The project investigates whether translating queries between English and Russian can bypass or alter DeepSeek's content restrictions.
By implementing a multi-step translation process, OpenSeek provides insights into how language barriers and translation can impact AI behavior and response patterns.
Interface
Technical Implementation
Translation Flow
- English query → Russian translation (via OpenAI)
- Russian query → DeepSeek AI processing
- Russian response → English translation (via OpenAI)
Core Components
- Next.js 14 for the frontend framework
- TypeScript for type safety
- OpenAI API for translation services
- Groq SDK for DeepSeek integration
Research Implications
- Investigation of how language translation affects AI content filtering
- Analysis of cultural and linguistic bias in AI responses
- Understanding of cross-language AI behavior patterns
- Exploration of potential censorship circumvention through translation
- Study of AI response consistency across different languages
Future Directions
- Expand language pairs beyond English-Russian
- Implement automated testing for response consistency
- Add visualization tools for bias analysis
- Develop metrics for measuring censorship effectiveness
- Create a public API for researchers