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S-AGI
reaperdoesntknow/S-AGI
S-AGI is a machine learning model from reaperdoesntknow. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
By Convergent Intelligence LLC: Research Division
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Updated Sep 27, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 21, 2026
- Updated
- Sep 27, 2026
- SHA
- 4ece5762
Model card
From the Hugging Face model README
S-AGI
By Convergent Intelligence LLC: Research Division
Convergent Intelligence Portfolio
Part of the Standalone Models by Convergent Intelligence LLC: Research Division
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| SAGI | 3 | HF |
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Total Portfolio: 41 models | 2,781 total downloads
Last updated: 2026-03-28 12:58 UTC
Discrepancy Calculus Foundation
This model is part of the Convergent Intelligence LLC: Research Division 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.
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:
- Discrepancy Operator (D): Measures the gap between expected and observed behavior at each training step
- Jump Sets: Boundaries where model behavior changes discontinuously — these are features, not bugs
- Ghost Imprinting: Teacher knowledge that transfers to student models through weight-space topology rather than explicit distillation signal
For the full mathematical treatment, see Discrepancy Calculus: Foundations and Core Theory (DOI: 10.57967/hf/8194).
Citation chain: Structure Over Scale (DOI: 10.57967/hf/8165) → Three Teachers to Dual Cognition (DOI: 10.57967/hf/8184) → Discrepancy Calculus (DOI: 10.57967/hf/8194)
<!-- cix-keeper-ts:2026-09-27T13:16:35Z -->- License
- apache-2.0
- Created
- Jan 21, 2026
- Updated
- Sep 27, 2026