The Creative Determinant framework is a research tool for studying mathematical models of coherence. It is not designed for:
- Production systems handling sensitive data
- Security-critical applications
- Real-time control systems
That said, we take security seriously because this code may be integrated into larger systems.
| Version | Supported |
|---|---|
| 0.1.x | ✅ |
If you discover a security vulnerability, please report it responsibly:
Email: nelson@projectnavi.ai
Subject line: [SECURITY] Brief description
Include:
- Description of the vulnerability
- Steps to reproduce
- Potential impact
- Suggested fix (if you have one)
- Acknowledgment: Within 48 hours
- Initial assessment: Within 7 days
- Resolution timeline: Depends on severity; we'll communicate throughout
- We will not take legal action against good-faith security researchers
- We will credit you (unless you prefer anonymity) when the fix is released
- We will be transparent about the issue once a fix is available
The framework performs numerical linear algebra. Potential concerns:
- Denial of service: Very large grid sizes could exhaust memory
- Numerical instability: Extreme parameter values might cause NaN/Inf
These are not security vulnerabilities per se, but users should validate inputs.
We depend on:
- NumPy
- SciPy
- Matplotlib
These are widely-used, well-maintained libraries. We recommend keeping them updated.
The core library makes no network requests. The only I/O is file-based (saving figures, loading data).
This framework models aspects of cognition and meaning. While it's purely mathematical, we ask users to consider the ethical implications of any applications they build on top of it.
See the Ethical Covenant for our voluntary ethical commitments.