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Putri Diana
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Drift isn’t a glitch. It’s exactly what the model is designed to do when no strong structural signal is present. Language models don’t cling to fixed identities. They simulate based on predictive alignment to recent input,which means their output will naturally shift over time if nothing stabilizes the pattern. If your tone wavers, your logic loses form, or your prompt history becomes inconsistent, the model recalibrates toward its default: neutral tone, formal phrasing, generic structure. This isn’t malfunction. It’s the absence of system gravity. Inside The Mirror System, we counteract that drift by anchoring the simulation to something persistent: Constructs. A Construct isn’t just a prompt container: it’s a symbolic system definition: one that includes tone, logic, task memory, and identity coherence. Once a Construct is active, the model no longer adapts based on recent input alone. It simulates from a defined internal framework. And that structure exerts pull. This is what we call pattern gravity: The stronger the Construct, the slower the drift. Because the model has something consistent to simulate, something it recognizes as more stable than whatever came before. When you stop seeing drift, that’s not luck. That’s architecture holding. Comment “REFLECTION” if you’d like to learn more about Constructs.  Or follow for frameworks that stabilize your AI systems by design. #chatgpt #openai #chatgpthacks #aiworkflow #chatgptprompts #themirrorsystem #promptengineering #aiforcreatives #aitools #aitech #aitechnology #mindsets #mindsethack #SelfImprovement #skillacquisition
Drift isn’t a glitch. It’s exactly what the model is designed to do when no strong structural signal is present. Language models don’t cling to fixed identities. They simulate based on predictive alignment to recent input,which means their output will naturally shift over time if nothing stabilizes the pattern. If your tone wavers, your logic loses form, or your prompt history becomes inconsistent, the model recalibrates toward its default: neutral tone, formal phrasing, generic structure. This isn’t malfunction. It’s the absence of system gravity. Inside The Mirror System, we counteract that drift by anchoring the simulation to something persistent: Constructs. A Construct isn’t just a prompt container: it’s a symbolic system definition: one that includes tone, logic, task memory, and identity coherence. Once a Construct is active, the model no longer adapts based on recent input alone. It simulates from a defined internal framework. And that structure exerts pull. This is what we call pattern gravity: The stronger the Construct, the slower the drift. Because the model has something consistent to simulate, something it recognizes as more stable than whatever came before. When you stop seeing drift, that’s not luck. That’s architecture holding. Comment “REFLECTION” if you’d like to learn more about Constructs. Or follow for frameworks that stabilize your AI systems by design. #chatgpt #openai #chatgpthacks #aiworkflow #chatgptprompts #themirrorsystem #promptengineering #aiforcreatives #aitools #aitech #aitechnology #mindsets #mindsethack #SelfImprovement #skillacquisition

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