Beyond Cosine: When Order Beats Angle in Embedding Similarity
A business-focused reading of recos, a Rearrangement Inequality-based similarity metric that tests whether embedding similarity should care about ordered structure, not only vector angle.
Cognaptus Insights
Industry thoughts, trends, and commentary.
First Proofs, No Training Wheels
Why unpublished research lemmas expose the difference between fluent mathematical performance and proof-grade AI reasoning.
Hallucination-Resistant Security Planning: When LLMs Learn to Say No
A mechanism-first reading of how abstention, lookahead, and feedback turn LLM incident-response planning from fluent guessing into calibrated decision support.
When AI Forgets on Purpose: Why Memorization Is the Real Bottleneck
A mechanism-first analysis of how attention sinks can reveal and suppress harmful learning during LLM fine-tuning.
When One Heatmap Isn’t Enough: Layered XAI for Brain Tumour Detection
A mechanism-first reading of why combining GRAD-CAM, LRP, and SHAP can turn medical AI explanations from decorative heatmaps into a practical assurance layer.
When RAG Needs Provenance, Not Just Recall: Traceable Answers Across Fragmented Knowledge
Why enterprise RAG needs source routing, authority-aware retrieval, and graph-guided evidence packing when answers must be auditable.
AgenticPay: When LLMs Start Haggling for a Living
AgenticPay shows why autonomous commercial negotiation requires more than fluent dialogue: it needs constraint discipline, role awareness, convergence control, and market-aware evaluation.
Quantum Routes, Real Gains: When Transformers Meet CVRP
A comparison-based reading of why hybrid quantum–classical routing models may be more useful than fully quantum ambition for near-term CVRP optimization.
Simulate This: When LLMs Stop Talking and Start Modeling
A practical decision map for using LLMs in modeling and simulation without mistaking prompts, RAG, or temperature settings for engineering discipline.
Stop the All-Hands Meeting: When AI Agents Learn Who Actually Needs to Talk
DyTopo shows why multi-agent AI systems should route information by need, not by habit.