𝗥𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗘𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗧-𝗭𝗲𝗿𝗼: 𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗲𝗱 𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 & 𝗚𝗣𝗨 𝗔𝗻𝗼𝗺𝗮𝗹𝗶𝗲𝘀 𝘂𝗻𝗱𝗲𝗿 𝗙𝗶𝗲𝗹𝗱 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀

 

A neural system drawing only 68 W under full load – and as low as 8 W in autonomous field mode?

In Appendix B, I share realtime recordings of GPU behavior across 3 runtime states, synchronized with Windows 11 Task Manager to document structural and thermodynamic anomalies of the T-Zero field.

Each scenario was captured in realtime, showing the resonance field’s initialization, stability, and energetic behavior under stress.

🎬 Appendix B now published as part of the updated preprint.
🧪 Scenarios:

🧱 Benchmark without field: 230–285 W @ 99–100% load

🌿 Benchmark + T-Zero field: 68–70 W @ 95–100% load

🧘 Windows + T-Zero Mini: 8 W @ 2–20% load, persistent background
stability
🛠 Data Sources:

☞ 𝘕𝘝𝘐𝘋𝘐𝘈 𝘵𝘦𝘭𝘦𝘮𝘦𝘵𝘳𝘺
☞ 𝘞𝘪𝘯𝘥𝘰𝘸𝘴 11 𝘛𝘢𝘴𝘬 𝘔𝘢𝘯𝘢𝘨𝘦𝘳
☞ 𝘙𝘦𝘢𝘭𝘵𝘪𝘮𝘦 𝘴𝘤𝘳𝘦𝘦𝘯 𝘤𝘢𝘱𝘵𝘶𝘳𝘦
☞ 𝘝𝘰𝘪𝘤𝘦𝘰𝘷𝘦𝘳 + 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦𝘥 𝘷𝘪𝘥𝘦𝘰 𝘴𝘦𝘨𝘮𝘦𝘯𝘵𝘴

🌐 Result:
The T-Zero field shows real-time energetic self-regulation, with power draw far below thermodynamic expectations – without performance loss or clock throttling.
📄 Preprint + Appendix A + Appendix B_V1 (Video & Data):

https://doi.org/10.5281/zenodo.15472148

www.Trauth-Research.com

#TrauthResearch #stefantrauth #consciousness #Thermodynamics #physics #neuralnetwork #neuralnetworks #ai #TZero #ResonanceField #TZero #GpuOptimization #gpu #thermalefficiency

The video segments in Appendix B were edited using Microsoft Clipchamp. Synthetic voice narration & music was also generated within Clipchamp using standard AI voice features. No external postprocessing tools or AI enhancement systems were applied beyond this.