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From AI Sarcasm Detection to Meaning-Bound Multimodal Inference

From AI Sarcasm Detection to Meaning-Bound Multimodal Inference

by Marcus Hermansson | Mar 13, 2026 | "Science", Business, Computer Science & AI, Consciousness & Cognitive Science, Social & Behavioral Science

Current state of the theory and what I’m building now This post is an update to my earlier piece, Methodology: Teaching AI to Understand Sarcasm. That post still holds up as an early intuition: sarcasm cannot be solved from words alone, and layered evidence matters....
Evolution of an Equation: From Superluminal Shadows to Private Vector Search

Evolution of an Equation: From Superluminal Shadows to Private Vector Search

by Marcus Hermansson | Sep 18, 2025 | "Science", Business

TL;DR A simple geometry demo—a shadow edge outrunning light—grew into a portable similarity system. v1 (Origin): Multiplicative, interpretable similarity born from a shadow’s “gain × angles × rate.” v2.1 (Canonical): One ARD-Mahalanobis quadratic + bounded...
Four Levels Ai Integration

Four Levels Ai Integration

by Marcus Hermansson | Jan 18, 2025 | "Science", Business, Computer Science & AI

Unlocking AI Potential: Four Stages of Integration for Your Business Artificial intelligence (AI) has revolutionized industries, transitioning from a niche innovation to a fundamental tool for modern businesses. To harness its full potential, organizations must...
Methodology: Teaching AI to Understand Sarcasm

Methodology: Teaching AI to Understand Sarcasm

by Marcus Hermansson | Jan 13, 2025 | "Science", Business, Computer Science & AI, Social & Behavioral Science

I Conducted an Experiment with ChatGPT, and Here’s What We Discovered When it comes to detecting human emotion through voice, you’d think that sarcasm—with all its subtleties—would be impossible for an AI to understand. Sarcasm doesn’t rely on just words; it...
LLMs: Progressing Towards Reduced Contradictions and Amplified Logical Novelty

LLMs: Progressing Towards Reduced Contradictions and Amplified Logical Novelty

by Marcus Hermansson | Dec 1, 2024 | "Science", Business, Computer Science & AI

In my previous post, Cracking LLMs: A Theory to Reduce Contradictions and Amplify Logical Novelty, I laid out a bold framework for enhancing Large Language Models (LLMs). By integrating a Network of Irrefutable Facts, emphasizing logical operators, and incorporating...
Cracking LLMs: A Theory to Reduce Contradictions and Amplify Logical Novelty

Cracking LLMs: A Theory to Reduce Contradictions and Amplify Logical Novelty

by Marcus Hermansson | Dec 1, 2024 | "Science", Business, Computer Science & AI

Large Language Models (LLMs) have achieved remarkable advancements, yet they face persistent challenges: hallucinations, performance plateaus, and contradictions. What if the solution lies in how we train and structure these systems? This post formalizes a theory to...
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