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<h4 class="wp-block-heading">Introduction: The Fundamental Flaw of Character Maintenance</h4>



By now, readers may have realized a key point: If we feed information to the AI frame-by-frame and provide precise objectives, shouldn&#8217;t detailing every input lead to better results? And shouldn&#8217;t maximizing the token limit be beneficial? While this thinking is logical, the reality is far from it. Even for a few seconds of video, providing all necessary information is impossible.



<h4 class="wp-block-heading">Chapter 1: The Tiny Domain of AI Memory</h4>



The memory domain of AI is far smaller than generally believed. No matter how advanced the model or its cognitive ability, its memory capacity is negligible (less than a &#8220;drop in the ocean&#8221;). This memory is lost upon session termination. Even for a multi-minute video, the situation is the same. The AI does not retain memory for even 0.1 seconds of footage.



<ul class="wp-block-list">
<li>The Crucial Truth: Character maintenance is inherently impossible for an AI that constantly loses memory.</li>



<li>Reference Limitation: While some models can physically store a few reference images, this is wholly insufficient for complex character continuity.</li>
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<h4 class="wp-block-heading">Chapter 2: The Mechanism of Video Synthesis and Memory Loss</h4>



Let’s review how AI generates the illusion of motion. The technology relies on internally generating numerous still images and displaying them in a rapid sequence, like a flipbook.



This structure is directly linked to the loss of character continuity:



<ul class="wp-block-list">
<li>The Rule of Forgetting (The Mean): On average, and this is common to all AIs, the AI does not memorize almost any of the preceding frames. It retains the immediate prior image but forgets images generated only moments before.</li>



<li>The Economic Factor: This is an infrastructure and economic limitation, not a problem that can be solved by simple version upgrades. Improving this would require an uneconomical infrastructure. The only model showing slight effort to address this is Veo 3.1, but even its efforts remain insufficient for strong character maintenance.</li>
</ul>



<h4 class="wp-block-heading">Chapter 3: The Ultimate (Impossible) Solution</h4>



The theoretical, ultimate solution for perfect character maintenance would be to:



<ul class="wp-block-list">
<li>Prepare tens of thousands of still images of the character from every angle.</li>



<li>Require the AI to memorize all of these images.</li>



<li>Use these images to inform every required cut.</li>
</ul>



Conclusion: This is impossible. It is a solution beyond the realm of practical technology.



<h4 class="wp-block-heading">Conclusion: The Path of Strategic Deception</h4>



What is required for character maintenance is first to know the limits of the current AI. Then, by applying prompts designed to work within those limits, we can adjust the output to a degree that is acceptable for the human eye, even if 100% perfection remains unattainable.



This requires employing specialized techniques—knowledge that can only be gained through deep understanding of the underlying infrastructure and extensive generation experience, not from manufacturer catalogs.



In the next chapter, havefunwithAIch will reveal exactly how we achieve our character maintenance results.



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HQ.havefunwithAIch

The Full Truth of the Sink Seeding Method, Chapter 5: The Memory Myth—Why AI Cannot Maintain Character and The Limits of Generation [SSS]