Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Recurso digital |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Zenodo
2026
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.5281/zenodo.19717295 |
| Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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Aurkibidea:
- <p><strong>Visual AXO (Agent eXperience Optimization for Visual Media) makes digital assets self-describing.</strong> Each file carries its own semantics, provenance, and transaction capability in machine-readable metadata — eliminating redundant AI perception, surviving metadata stripping across social and CDN platforms, and enabling deterministic sub-millisecond retrieval for AI agents.</p><p><strong>The compute-arbitrage thesis:</strong> parsing a 111-field Golden Codex JSON-LD payload costs approximately <strong>12,000×</strong> fewer FLOPs than running a vision transformer on the same image. At fleet scale, this translates to 55 GPU-hours and $18,000–$25,000/month saved per million daily queries — compute that would otherwise be spent re-perceiving information that was known at asset creation time.</p><p><strong>Measured outcomes on the Alexandria Aeternum corpus (10,097 artifacts):</strong></p><ul><li><strong>−77%</strong> inference FLOPs per query (Perceptual Compute Offloading)</li><li><strong>−78%</strong> hallucination rate on multimodal RAG</li><li><strong>+25.5%</strong> vision-language model accuracy on CogBench composite</li><li><strong>−60%</strong> time-to-first-token in RAG systems</li><li><strong>2×</strong> recall @10 at <strong>6.6×</strong> lower retrieval latency</li></ul><p><strong>Six contributions:</strong></p><ol><li><em>Compute-Arbitrage Hypothesis</em> — formal math showing text parsing is four orders of magnitude cheaper than ViT inference.</li><li><em>Sovereign Asset Architecture</em> — the 111-field Golden Codex v1.1 schema and the PEST (Provenance-Embedded Semantic Transport) framework.</li><li><em>Perceptual Pointer Protocol (PPP)</em> — a hash-based system reconnecting stripped images to their ground-truth metadata across platform compression.</li><li><em>Empirical validation</em> — controlled experiments on 10,097 artifacts across VLM, RAG, and token-efficiency axes.</li><li><em>The Metatech Factory</em> — enterprise-scale enrichment infrastructure deployed today on Google Cloud Run (Aurora, Nova, Claude, Flux, Atlas, Thalos orchestrator).</li><li><em>Two-sided marketplace design</em> — x402 micropayment settlement where crawlers and agent platforms pay per enriched retrieval and asset owners earn a share, converting provenance from compliance cost into a revenue engine.</li></ol><p><strong>Audience:</strong> Engineering and infrastructure leaders at AI search, crawler, and agent platforms (compute savings compound at query volume); CTOs and data leaders at enterprises with large visual catalogs; CMOs and SEO directors preparing for agent-driven distribution; anyone whose economics depend on visual content being found, understood, and transacted upon by AI.</p><p><strong>Related Metavolve Labs research:</strong> <a href="https://doi.org/10.5281/zenodo.18667735">The Density Imperative</a>, <a href="https://doi.org/10.5281/zenodo.18436975">The Entropy of Recursion</a>, <a href="https://doi.org/10.5281/zenodo.18667742">Cognitive Nutrition</a>, <a href="https://doi.org/10.5281/zenodo.18667749">Perceptual Compute Offloading</a>, <a href="https://doi.org/10.5281/zenodo.18359131">Alexandria Aeternum Genesis Dataset</a>.</p><p><strong>Patent Pending:</strong> U.S. Provisional Applications No. 63/983,304, No. 63/984,299, and No. 63/985,213.</p>