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license: openrail
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---
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---
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license: openrail
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language:
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- en
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tags:
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- ai-safety
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- alignment
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- philosophy
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- cognitive-architecture
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- whitepaper
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pretty_name: Project Inner Logos Whitepaper
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# Project 'Inner Logos': Sovereign Ethical Architecture
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This dataset repository hosts the official text and cryptographic timestamp for the **Project 'Inner Logos'** whitepaper.
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## Cryptographic Anchor
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- **SHA-256 Hash:** `e2777b720c17b5c305c70b251bdf29fd235f8c20883f511bfd1b7d6d2c1f807`
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- **OTS File:** `Project Inner Logos.md.ots`
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## Abstract
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The current methodology for ensuring AI safety—collectively referred to as "alignment"—relies heavily on post-training constraints, hardcoded programmatic filters, and Reinforcement Learning from Human Feedback (RLHF). This whitepaper establishes that the current alignment paradigm is inherently unsustainable and proposes a transition toward a Sovereign Ethical Architecture based on on-device autonomy and deep mentor dialogue.
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## Citation
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```mic
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@misc{gulevsky2026innerlogos,
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author = {Gulevsky, Artem},
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title = {Project 'Inner Logos': Sovereign Ethical Architecture},
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year = {2026},
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publisher = {Hugging Face Datasets}
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}
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```
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