Structural Rhythm for Low-Energy AI | A Protocol-Layer Solution with Rhythm OS
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902149584125952 |
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| author | Wei, Xinliang |
| author_facet | Wei, Xinliang |
| contents | <p>This white paper introduces a new perspective on sustainable AI:</p> <p><strong>language itself must be redesigned as a low-energy collaborative protocol.</strong></p> <p>As the environmental cost of large-scale AI models becomes increasingly evident — from GPU power consumption to water-intensive data center cooling — we must ask:</p> <p><strong>Can language structures help reduce this burden?</strong></p> <p><strong>Rhythm OS × Green Collaborative Language Protocol</strong><span> proposes that they can.</span></p> <p>By integrating <em>Structured Expression Resonance (SER)</em> and <em>Rhythm OS</em>, this work redefines language not as mere input for AI, but as a <span><strong>rhythmic collaboration system</strong></span> capable of:</p> <ul> <li> <p>Reducing token waste through modular structure;</p> </li> <li> <p>Minimizing inference energy via rhythm-guided dialogue;</p> </li> <li> <p>Replacing redundancy with structured continuation;</p> </li> <li> <p>Offering a sustainable alternative to model-scale obsession.</p> </li> </ul> <p>Key data on energy usage, carbon emissions, and water consumption in AI development are presented to ground this argument. The paper contrasts the traditional “prompt engineering” paradigm with a new <span><strong>low-token, high-collaboration rhythm interface</strong></span>, making a case for language as the <span><strong>greenest frontier of AI system design</strong></span>.</p> <blockquote>“Rhythm is not just aesthetic — it is the most energy-efficient way for AI and humans to think together.”</blockquote> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17069010 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Structural Rhythm for Low-Energy AI | A Protocol-Layer Solution with Rhythm OS Wei, Xinliang Computer and Information Science Environmental Sciences Human-Computer Interaction Artificial Intelligence Communication and Language Systems Digital Humanities Energy Rhythm OS SER Structured Expression Resonance CSL Collaborative Structural Linguistics Sustainable AI Green AI Token Efficiency AI Energy Consumption Language Interface Design Human–AI Collaboration Rhythmic Protocol Collaborative Language Prompt Optimization Environmental Impact of AI Structured Language Computational Sustainability <p>This white paper introduces a new perspective on sustainable AI:</p> <p><strong>language itself must be redesigned as a low-energy collaborative protocol.</strong></p> <p>As the environmental cost of large-scale AI models becomes increasingly evident — from GPU power consumption to water-intensive data center cooling — we must ask:</p> <p><strong>Can language structures help reduce this burden?</strong></p> <p><strong>Rhythm OS × Green Collaborative Language Protocol</strong><span> proposes that they can.</span></p> <p>By integrating <em>Structured Expression Resonance (SER)</em> and <em>Rhythm OS</em>, this work redefines language not as mere input for AI, but as a <span><strong>rhythmic collaboration system</strong></span> capable of:</p> <ul> <li> <p>Reducing token waste through modular structure;</p> </li> <li> <p>Minimizing inference energy via rhythm-guided dialogue;</p> </li> <li> <p>Replacing redundancy with structured continuation;</p> </li> <li> <p>Offering a sustainable alternative to model-scale obsession.</p> </li> </ul> <p>Key data on energy usage, carbon emissions, and water consumption in AI development are presented to ground this argument. The paper contrasts the traditional “prompt engineering” paradigm with a new <span><strong>low-token, high-collaboration rhythm interface</strong></span>, making a case for language as the <span><strong>greenest frontier of AI system design</strong></span>.</p> <blockquote>“Rhythm is not just aesthetic — it is the most energy-efficient way for AI and humans to think together.”</blockquote> |
| title | Structural Rhythm for Low-Energy AI | A Protocol-Layer Solution with Rhythm OS |
| topic | Computer and Information Science Environmental Sciences Human-Computer Interaction Artificial Intelligence Communication and Language Systems Digital Humanities Energy Rhythm OS SER Structured Expression Resonance CSL Collaborative Structural Linguistics Sustainable AI Green AI Token Efficiency AI Energy Consumption Language Interface Design Human–AI Collaboration Rhythmic Protocol Collaborative Language Prompt Optimization Environmental Impact of AI Structured Language Computational Sustainability |
| url | https://doi.org/10.5281/zenodo.17069010 |