BACKGROUND For over twenty-five years Intellisophic has supplied semantic data called taxonomies to customers in legal, health, national security and regulatory sectors. In response to 9/11, Intellisophic was competitively chosen to build the foundation of 21st centry counterintelligence systems providing global terrorist activity analysis based on open web intelligence. The reason was our invention and …
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Introduction: The Data Labeling Challenge In today’s AI-driven economy, high-quality training data represents both the greatest opportunity and the most significant bottleneck. With companies like Scale AI processing approximately 10 million annotations weekly through a hybrid human-AI approach, the data labeling market has grown to an estimated $30 billion industry. However, a fundamental shift is …
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Executive Summary While the AI industry fixates on ever-larger language models and the latest GPU architectures, a fundamental disruption is already underway. SAM-1, the commercial Semantic AI Model from Intellisophic, represents not just an incremental improvement but a paradigmatic shift that could render current AI approaches obsolete. With proven deployment in national security, eDiscovery, and …
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Thinking… Claude-Opus/4-Reasoning The Homonymy Test: Where the Facade Crumbles Consider a simple challenge: distinguishing between Lincoln the president, Lincoln the car brand, and Lincoln the tunnel. This isn’t an edge case—it’s a fundamental failure that exposes how LLMs actually work. Why homonymy breaks LLMs: During training, every instance of “Lincoln” adjusts the same weights, creating …
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PREAMBLE The encyclopaedia created by Denis Diderot during the Enlightenment period was a revolutionary work that played a pivotal role in the intellectual and cultural changes of the time. By democratizing knowledge and making it accessible to a wider audience, Diderot’s encyclopaedia contributed to the emergence of new ideas, innovations, and social movements that shaped …
Executive Summary: The iKnowit/Intellisophic AI strategy reframes the multi-trillion adTech market for next gen search around winning the AI race by dominating the most valuable, reachable segments with semantic targeting instead of chasing the entire market with another LLM. The product is a semantic DSP–SSP powered by a verified knowledge graph that matches advertiser intent …
TL;DR: In 2005 a grid of 10 Intel based PC with 512 Mb memory extracted semantic data from text at 50 docs per second. The database server was running Windows 2000 with Oracle 9 as the engine. The task was comparing words in documents to knowledge graph concepts with semantic tags. The GRID managed about …
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