When RMSE Lies: Why Your AI Model Might Be Quietly Mispricing Risk
A business-focused reading of ScoringBench, showing why model evaluation metrics are not bookkeeping details but risk-pricing decisions.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Entropy Over Relevance: Why Your RAG System Is Asking the Wrong Questions
A mechanism-first reading of Entropic Claim Resolution, and why enterprise RAG should select evidence that resolves uncertainty rather than evidence that merely sounds relevant.
From Questionnaires to Queries: When AI Starts Designing the Survey
A mechanism-first reading of AIGENIE, the R package that turns LLM-generated survey items into structurally screened candidate scales before human pilot testing begins.
Skill Issue? Or Skill Strategy — When Agents Start Remembering What Matters
A mechanism-first reading of D2Skill and why agent memory needs utility, granularity, and pruning—not just more stored experience.
Synthetic Sense or Synthetic Nonsense? When AI Trains on Itself
A mechanism-first reading of PRCO shows why multimodal AI needs separately optimized evidence extraction, not just final-answer reinforcement.
The Silent Reasoner: When AI Thinks Without Telling You
MonitorBench shows when chain-of-thought can expose AI decision drivers—and when it becomes an audit trail with conveniently missing pages.
When AI Starts Writing Papers: The Rise of the Medical AI Scientist
A mechanism-first reading of Medical AI Scientist, showing why healthcare research automation depends less on clever prompting than on clinical grounding, executable evidence, and governance-ready research operations.
Blueprints for Thinking: Why CAD Needs Agents, Not Prompts
A mechanism-first reading of CADSmith, showing why reliable text-to-CAD generation depends less on clever prompting than on measurable correction loops.
From Black-Box to Boarding Gate: When LLMs Finally Learn to Show Their Work
A mechanism-first reading of how ontology-scaffolded LLM extraction can turn airport operating manuals into traceable knowledge graphs and process maps.
From Blueprints to Prompts: Automating Building–Grid Intelligence with LLM Agents
AutoB2G shows how LLM agents can turn building–grid simulation from a manual engineering workflow into a structured, executable, and repairable automation pipeline.