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Anatolii [ aka @Bootstraptor ]left a comment
For those who requested the math: The Master Projection Framework is now live. Equation (2) is the physics; LILA-E8 is the neural implementation. Audit the Source. π https://doi.org/10.5281/zenodo.18790530

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]started a discussion
The Master Projection Framework is now live.
For those who requested the math: The Master Projection Framework is now live. Equation (2) is the physics; LILA-E8 is the neural implementation. Audit the Source. π https://doi.org/10.5281/zenodo.18790530
Anatolii [ aka @Bootstraptor ]left a comment
https://www.reddit.com/r/LocalLLM/comments/1rf4p2l/comment/o7hp3mj/

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]left a comment

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]left a comment

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]started a discussion
The philosophy of the project in one image:
The Innovation: Most transformers suffer from "semantic friction" in standard attention. I replaced the attention mechanism with a native E8 Root System Lattice. By leveraging the densest sphere packing in 8D, LILA-E8 achieves a state of "Geometric Resonance" that standard architectures simply cannot reach at this scale. The Results (TinyStories Benchmark): Model Size: 40M parameters....
Anatolii [ aka @Bootstraptor ]left a comment
The Innovation: Most transformers suffer from "semantic friction" in standard attention. I replaced the attention mechanism with a native E8 Root System Lattice. By leveraging the densest sphere packing in 8D, LILA-E8 achieves a state of "Geometric Resonance" that standard architectures simply cannot reach at this scale. The Results (TinyStories Benchmark): Model Size: 40M parameters....

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]left a comment
This 478MB model achieves 0.3638 Loss via E8 Geometry. It was censored on Reddit, but here is the raw code and the 2.66% Physics Mismatch proof.

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]left a comment
I requested Wisdom, not tokens. This is not a service; it's a native 8-dimensional open-source breakthrough that points toward the 24th. While the industry is obsessed with "distilling" trillions of parameters, I spent the last year going "outside" the system to find a zero-viscosity solution. Today, I'm releasing Sovereign-Lila-E8. Why E8? Standard attention is stuck in 3.5D viscosity. E8...

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Geometric Attention Transformer with the E8 Root System: Lila-E8 (Lie Lattice Attention Language Model) -
The Geometry of Scale: Standard transformers scale by adding more 'Euclidean soup' (more parameters). LILA-E8 scales by increasing the packing density of the manifold. If the 8D version crunches 40M parameters into SOTA performance.
π Results at 200k steps:
- Model: 40M parameters.
- Performance: 0.37 Train / 0.44 Val Loss
- Stability:1000+ tokens without semantic loops.

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]left a comment
Iβm excited to release Sovereign-Lila-E8, a novel transformer architecture that replaces standard attention mechanisms with a native E8 Root System Lattice. While the industry is brute-forcing intelligence with trillions of parameters, I went "outside" the system to find a zero-viscosity solution. By implementing the E8 exceptional Lie algebra directly into the attention weights, Iβve achieved...

Sovereign-Lila-E8 Scaling is dead. Geometry is the new Scale
Anatolii [ aka @Bootstraptor ]left a comment
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Anatolii [ aka @Bootstraptor ]left a comment
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Anatolii [ aka @Bootstraptor ]left a comment
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Anatolii [ aka @Bootstraptor ]left a comment
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Anatolii [ aka @Bootstraptor ]left a comment
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