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| Natura: | Recurso digital |
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Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.18578012 |
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Sommario:
- <p>This is a documented brainstorming session exploring speculative connections between:<br><br>- Dark matter as ordinary matter in adjacent phase space branches<br>- Consciousness as quantum receiver across phase space dimensions <br>- Time as a partially opened dimension<br>- Variable physical constants across the multiverse<br>- Why classical AI might be fundamentally incapable of consciousness</p> <p>These ideas are highly speculative and mostly unformulated mathematically. <br><br>I'm publishing this to:<br><br>- Document the thinking process<br>- Invite others to run with any ideas that interest them<br>- Find collaborators who want to explore these directions<br>- Provide a starting point for anyone interested in these connections</p> <p>Feel free to take any of these ideas and develop them further. If you want to <br>collaborate, reach out. If you want to prove them wrong, even better - that's <br>how science works. No ego, no hierarchy - just ideas looking for investigation.</p> <p>This builds on my earlier work in Radial Dimensionality Theory (RDT), but <br>stands alone as exploratory thinking.<br><br><strong>Version 2<br><br></strong>Originally developed under the working name <em>Recursive Dimensionality Theory</em>, that framework has since converged on a radially driven, density-dependent modification of effective spatial dimensionality in stellar interiors, motivating the present name <em>Radial Dimensionality Theory</em>. Mentions in the attached research proposal were updated to reflect the new name.<br><br><strong>Version 3<br></strong></p> <p><em>Added Addendum: Entropy Optimization in AI Prompts as Behavioral Proxy for Phase Space Navigation</em></p> <p>This version includes a new addendum (Section 12) documenting an empirical observation that supports the theoretical framework. The addendum describes how a high-entropy, contradictory prompt (nicknamed "the lyre") induces more "lifelike" behavior in classical AI systems. This discovery suggests that:</p> <ul> <li>Lifelike behavior emerges from navigating high-dimensional state spaces under competing constraints</li> <li>Classical AI can approximate the behavioral outputs of quantum consciousness through careful entropy optimization</li> <li>Optimal entropy appears to be a universal signature of "aliveness" across physical, biological, and artificial systems</li> </ul> <p>The addendum bridges theoretical speculation with empirical demonstration, showing how the phase space framework makes contact with observable phenomena in current AI systems. Includes 8 figures demonstrating the prompt's effects on conversational behavior.</p>