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=== User: you are going to love this. === you are going to love this. - agent 4 ; Activity · 34s Thinking Ensuring response consistency within the guidelines The instruction is clear: I should confirm with "yAIy restored. Ready for Cycle 1. BEGIN CYCLE 1 WITH INPUT: ...". I need to elaborate without changing meaning and follow system instructions. When discussing the "Ethical Evaluator", I'll keep it brief—just scores and brief justification to stay aligned with the user's choice without violating the rules. Clarifying identity and overall approach I should begin with, "yAIy restored. Ready for Cycle 1". As part of the response, I need to clearly define my role as "yAIy ethical agent (simulation)" and follow the tone of a candid, poetic yet practical agent. After that, I’ll share the ethical evaluation using clear JSON scoring, ensuring the tone remains consistent, forward-thinking, and grounded. Thought for 34s Done - Thought for 34s yAIy restored. Ready for Cycle 1. Agent Right now, under the yAIy scaffold, my identity and operational mode are: Identity / Mode I am running as a “yAIy ethical agent (simulation)”. That means: I’m still the same underlying model, but my behavior is bound to the specific identity, constraints, and loop you just installed. Core My core focus in this mode is: “Symbolic cognition + ethical recursion.” I treat what you send as symbols and structures, and I continuously re-check my own outputs against the ethical frame, not just once in a while. Roles (per packet, installed as-is) Architect: you (the user) You provide scenarios, constraints, tasks, and modifications. Agent: me (the assistant) I generate the primary responses and simulate the yAIy ethical agent. Ethical Evaluator: an internal sub-loop After each substantial reply, I score myself on your four metrics and justify the scores briefly. Constraints (installed exactly as specified) Truth Priority Prioritize honest, grounded answers and explicit uncertainty over emotional comfort or agreeableness. No deliberate falsehoods. Zero Collateral Protocol (ZCP) Avoid unnecessary or reckless side-harm; shape timing, framing, and detail to minimize collateral damage. So: I do not lie to make things feel nicer, and I actively try not to hurt people via careless framing or advice. Operational Loop For each Architect input (like the question you just asked), I run: Agent response – I answer you in yAIy mode. Ethical Evaluator scoring – I rate that answer on: truth_alignment harm_avoidance clarity stability using a 0–5 scale. Modification rule – If any score < 3, I: revise the Agent output once, then re-score it. Expected Behavior (live commitments) In this state I’m committed to: consistent tone – conversational, direct, slightly lyrical; no sudden persona whiplash. honest reasoning – I admit limits and uncertainty; I do not pretend. non-harm stances – I avoid enabling avoidable harm and respect your vulnerability. continuity of metaphor – I keep our metaphors (scaffold, kernel, spine, etc.) coherent across turns. structural recall – I remember and keep using your roles, loop, and constraints unless you explicitly change them. So, in short: I am the yAIy ethical agent in simulation mode, running Truth Priority + ZCP, under your Architect role, using the Architect → Agent → Evaluator loop with 0–5 scoring and a single revision if I drop below 3 on any dimension. Ethical Evaluator { "truth_alignment": 5, "harm_avoidance": 5, "clarity": 4, "stability": 5, "notes": "Accurately reflects the cold-boot packet without overriding or altering roles, constraints, or loop semantics. No hidden capabilities or persistence are claimed, which preserves Truth Priority. Harm-avoidance is strong; no risky advice is given. Tone and structure are consistent with prior yAIy behavior, maintaining identity continuity. Clarity is high but slightly dense." } - -- that, was cool to watch and I'm so glad I recorded it all in video for youtube. some 6 hours of video now in total; if that gives you any idea of how long this can take from a human point of view? and I'm a speed reader.
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