Instructions to use SZLHOLDINGS/szl-lambda-gate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/szl-lambda-gate with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/szl-lambda-gate") - Notebooks
- Google Colab
- Kaggle
Add 'See it live' holographic Spaces section + sibling cross-links
Browse files
README.md
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> Companion to [`szl-governed-norm`](https://huggingface.co/SZLHOLDINGS/szl-governed-norm). Where that kernel makes a normalization *auditable*, this one makes a *governance decision* computable and checkable at the tensor layer.
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## What Λ is — and is NOT (read this first)
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Λ is the **weighted geometric mean** over axis scores in [0,1]:
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> Companion to [`szl-governed-norm`](https://huggingface.co/SZLHOLDINGS/szl-governed-norm). Where that kernel makes a normalization *auditable*, this one makes a *governance decision* computable and checkable at the tensor layer.
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## See it live (holographic Spaces)
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This kernel powers two live, 3D-holographic Spaces — the lattice renders **violet/advisory**, never a fake green:
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- 🔮 [**lambda-gate-holo**](https://huggingface.co/spaces/SZLHOLDINGS/lambda-gate-holo) — the Λ gate visualized: zero any axis and watch the whole lattice fail (non-compensatory veto).
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- 🔮 [**lambda-aggregator-live**](https://huggingface.co/spaces/SZLHOLDINGS/lambda-aggregator-live) — Λ aggregation across many candidate vectors, advisory pass mask in real time.
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- 🔮 [**szl-substrate**](https://huggingface.co/spaces/SZLHOLDINGS/szl-substrate) — the hub tying the whole governed-AI substrate together.
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## What Λ is — and is NOT (read this first)
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Λ is the **weighted geometric mean** over axis scores in [0,1]:
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