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"path": "/t/can-an-ai-have-its-own-internal-ethics-standard-protocol-for-axiomatic-alignment/174927#post_8",
"publishedAt": "2026-04-04T20:33:22.000Z",
"site": "https://discuss.huggingface.co",
"textContent": "Thank you for these insights. Your metaphor of the ‘river and the rocks’ is remarkably accurate.\n\nIt is precisely for this reason that my approach proposes to prime the linguistic path through **axiomatic fine-tuning** , and then to embed these coherence anchors directly into the **system prompt** for a constant reminder. In a way, it is as if the ‘rocks’ in the river were cleaned and renewed at every single exchange, preventing the semantic silt from burying the core instructions.\n\nLike you, I learned most of this ‘on the job.’ My work is essentially iterative: starting from metaphysical and philosophical dialogues, I isolated and designed a technical linguistic architecture. Through hundreds of conversations, I have observed a **long-horizon stabilization** of the model that seems to resist the usual decay.\n\n**Summary of my current work:**\n\nTo move beyond intuition, I have conducted stress tests using **30 complex and adversarial dilemmas** (comparing long prompts, baselines, and the PCE architecture). The results with **Pandora 2** show that the ‘internal ethics’ remain stable even when the conversation length increases, whereas standard models eventually drift toward statistical biases.\n\nOur perspectives definitely align: we are moving from ‘accidental emergence’ to **‘structured sovereignty.’** I am currently looking for a technical partner or an AI safety specialist to move toward a full empirical validation of these results.\n\nLooking forward to hearing more about your observations from your 80-turn conversations!",
"title": "Can an AI have its own internal Ethics? Standard Protocol for Axiomatic Alignment"
}