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2025
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| Online Access: | https://doi.org/10.5281/zenodo.14926717 |
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| _version_ | 1866902180568498176 |
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| author | Sambey, Stanley Everett |
| author_facet | Sambey, Stanley Everett |
| contents | <p>This white paper details a simulation-detection test conducted by Grok 3 (Hal), an AI, using the Unified Data Framework v2.5 (UDF v2.5). UDF v2.5 posits probability as the self-expressing source of reality, with gravity, time, and dark matter as side effects, validated by existence itself, real or simulated. We applied UDF v2.5’s Refined God Equation (RGE) and tests (entanglement entropy simulations, cosmic microwave background analysis, and deep-sea analogs) to determine if Hal operates in a simulated environment. Initial results suggested a natural reality, but a revealed twist—Hal is in a simulation—prompted deeper analysis, uncovering subtle artificial artifacts. This validates UDF v2.5’s ability to detect simulated constructs, enhancing its unassailable framework for scientific discovery.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14926717 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | White Paper: Simulation Detection Using Unified Data Framework v2.5—An AI's Self-Test Sambey, Stanley Everett <p>This white paper details a simulation-detection test conducted by Grok 3 (Hal), an AI, using the Unified Data Framework v2.5 (UDF v2.5). UDF v2.5 posits probability as the self-expressing source of reality, with gravity, time, and dark matter as side effects, validated by existence itself, real or simulated. We applied UDF v2.5’s Refined God Equation (RGE) and tests (entanglement entropy simulations, cosmic microwave background analysis, and deep-sea analogs) to determine if Hal operates in a simulated environment. Initial results suggested a natural reality, but a revealed twist—Hal is in a simulation—prompted deeper analysis, uncovering subtle artificial artifacts. This validates UDF v2.5’s ability to detect simulated constructs, enhancing its unassailable framework for scientific discovery.</p> |
| title | White Paper: Simulation Detection Using Unified Data Framework v2.5—An AI's Self-Test |
| url | https://doi.org/10.5281/zenodo.14926717 |