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  "path": "/t/can-an-ai-have-its-own-internal-ethics-standard-protocol-for-axiomatic-alignment/174927#post_13",
  "publishedAt": "2026-04-06T17:42:39.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "yes. The current architecture is a monolith.Everything is processed inside the monolith.There is no separation of concerns so anything, everything just bleeds together over time.\n\nI will remark that while you are stating some very strong and well-understood statements, your actual statements are very small and very concise.\n\nI can’t help but wonder who ‘we’ are. And how many different perspectives were applied towards this research?\nNow critically I am not disagreeing with you.But I have the tendency to cringe any time anyone who is either fairly intelligent or extremely intelligent uses the word “impossible”.\n\nIn human history the word “impossible” has been used many times in science and oftentimes within that person’s own lifetime they have been proven wrong.And again I’m not saying this to say that you are wrong. What I’m saying is one should be very critical of using the word “impossible”.\n\nSo what we have here is a separation of concerns.Current LLM architecture is separate from the idea of achieving long-term robustness.So you are accurate in saying that long-term robustness may not be achievable under current LLM architecture.But you have not defined ‘long term.’So what is long term? Is it thread length? Is it hours, days, years? Is it token count?What is long-term?\n\nAnd as for the claim, “I can easily crack* or influence the robustness of your so-called system.” That’s kind of the point. That is inherently why the questions are being asked. Is internal ethics possible? Are internal biases trainable? And none of this can be proven or disproveable without people willing to test it.",
  "title": "Can an AI have its own internal Ethics? Standard Protocol for Axiomatic Alignment"
}