EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Jul 31·5 min read
Correlated RNG
TL;DR
Correlated RNG allows game developers to use multiple deterministic random number generators (RNGs) for different systems, ensuring consistent outputs. However, using the same seed for all RNGs can lead to predictable patterns that players might exploit.
✦ Why It Matters
Use independent RNGs for different game systems to ensure consistent outputs and avoid player exploitation.
Key Takeaways
- Use multiple RNGs to decouple game systems.
- Implement unique offsets to reduce correlation risks.
- Hash shared seeds with unique identifiers for independence.
- Consider faster RNG algorithms like xoshiro256 for better performance.
How It Works
By hashing the shared seed with a unique identifier for each RNG instance, developers can create independent sequences. This ensures that changes in one system do not affect the outputs of others, maintaining the integrity of procedural generation.