Update model card: added convergentintel tag, added DISC section
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README.md
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- multi-agent
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- pytorch
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- transformers
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pipeline_tag: text-generation
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model-index:
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- name: SAGI
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*Convergent Intelligence LLC: Research Division*
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- convergentintel
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pipeline_tag: text-generation
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model-index:
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- name: SAGI
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*Convergent Intelligence LLC: Research Division*
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## Discrepancy Calculus Foundation
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This model is part of the [Convergent Intelligence LLC: Research Division](https://huggingface.co/reaperdoesntknow) portfolio. All models in this portfolio are developed under the Discrepancy Calculus (DISC) framework — a measure-theoretic approach to understanding and controlling the gap between what a model *should* produce and what it *actually* produces.
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DISC treats training singularities (loss plateaus, mode collapse, catastrophic forgetting) not as failures to be smoothed over, but as **structural signals** that reveal the geometry of the learning problem. Key concepts:
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- **Discrepancy Operator (D):** Measures the gap between expected and observed behavior at each training step
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- **Jump Sets:** Boundaries where model behavior changes discontinuously — these are *features*, not bugs
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- **Ghost Imprinting:** Teacher knowledge that transfers to student models through weight-space topology rather than explicit distillation signal
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For the full mathematical treatment, see [Discrepancy Calculus: Foundations and Core Theory](https://huggingface.co/reaperdoesntknow/Discrepancy_Calculus) (DOI: 10.57967/hf/8194).
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**Citation chain:** [Structure Over Scale](https://huggingface.co/reaperdoesntknow/Structure-Over-Scale) (DOI: 10.57967/hf/8165) → [Three Teachers to Dual Cognition](https://huggingface.co/reaperdoesntknow/DualMind_Methodolgy) (DOI: 10.57967/hf/8184) → [Discrepancy Calculus](https://huggingface.co/reaperdoesntknow/Discrepancy_Calculus) (DOI: 10.57967/hf/8194)
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