<ul><li>The concept of 'simil-rarities' in transformative discovery involves unexpected domain collisions and obscured computational processes leading to breakthroughs.</li><li>Simil-rarities can potentially be engineered through algorithmic parameters, latent-space activation paths, and recursive feedback design.</li><li>The Three-Plane Model suggests that code-level manipulations within AI systems can bias emergence towards desirable simil-rarity zones.</li><li>The implications include treating simil-rarity zones as programmable attractors and fostering innovation through code-flexed, parameter-sensitive architectures.</li></ul>

Simil-Rarities as Programmable Emergence:

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