GFN v2.5.0: Revolutionary AI Achieves Unprecedented Memory Efficiency and Stability!
Published:Jan 18, 2026 23:57
•1 min read
•r/LocalLLaMA
Analysis
GFN's new release is a significant leap forward in AI architecture! By using Geodesic Flow Networks, this approach sidesteps the memory limitations of Transformers and RNNs. This innovative method promises unprecedented stability and efficiency, paving the way for more complex and powerful AI models.
Key Takeaways
- •GFN achieves O(1) memory complexity during inference, unlike Transformers.
- •The new release uses RiemannianAdam and Symplectic Integration for exceptional stability.
- •Demonstrates perfect zero-shot generalization on algorithmic tasks up to 10,000 tokens.
Reference
“GFN achieves O(1) memory complexity during inference and exhibits infinite-horizon stability through symplectic integration.”