🚀 Seeking Insights on Energy-Guard OS — Your Expertise Matters!
I’ve been developing Energy-Guard OS, a unique application of Energy-based Models (EBMs) designed to protect sensitive data while allowing legitimate AI use. Here’s a concise breakdown:
- Purpose: Acts as a real-time data gateway, blocking leaks of PII, financials, and strategic documents.
- How it Works: Assigns energy scores to inputs, identifying threats without generating data—think of it as a semantic firewall.
- Performance:
- Accuracy: 88.7% overall; 100% for financial and PII data.
- Speed: 704.5 req/s throughput with low latency.
Current Dilemma:
I’m at a crossroads. Do I:
- 🚀 Release a limited Beta now? (Excellent in high-value use cases)
- 🔄 Refine further to reduce false positives and improve multi-turn conflict? (Important for user satisfaction)
Your thoughts could help shape this! If you have experience in security products or ML systems, I genuinely want to hear from you. Please share your insights or connect below! 💡
