Rule of Thumb, Meet Rule of Code: How DeepRule Rewrites Retail Optimization
DeepRule shows how LLMs can turn messy retail knowledge into auditable assortment and pricing rules, but the real lesson is the pipeline, not the model.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Stacking the Odds: Why Blocksworld Still Breaks Your Fancy LLM Agent
A practical reading of an MCP-integrated Blocksworld benchmark showing why planning, verification, execution, and replanning must be tested together before LLM agents touch real operations.
Think Fast, Think Slow: How Omni-AutoThink Rewrites Multimodal Reasoning
A mechanism-first reading of Omni-AutoThink, showing why adaptive multimodal reasoning is a training problem, not a prompting trick.
When Research Becomes a Tree: Why Static-DRA Matters in an Agentic World
A mechanism-first analysis of Static-DRA, a tree-based deep research agent that turns research depth and breadth into explicit business controls.
Agents Without Prompts: When LLMs Finally Learn to Check Their Own Homework
A mechanism-first look at how prompt-free verification-refinement agents turn existing system prompts into reusable quality-control infrastructure for paper-to-code automation.
Counterfactuals, Concepts, and Causality: XAI Finally Gets Its Act Together
A causal concept-based XAI framework shows why useful model explanations need more than heatmaps, concept labels, and wishful thinking.
Digging Deeper with Bayes: Why AI May Finally Fix Mineral Exploration
A decision-science reading of why AI’s real value in mineral exploration may be reducing false-positive drilling, not replacing geologists.
Flame Tamed: Can LLMs Put Out the Internet’s Worst Fires?
A comparison-based reading of new research on LLMs as online mediators, separating moderation, model performance, human style, and practical deployment boundaries.
Prompting on Life Support: How Invasive Context Engineering Fights Long-Context Drift
A mechanism-first reading of Invasive Context Engineering, a training-free proposal for keeping LLM control instructions alive inside long conversations and agentic reasoning loops.
Scan, Plan, Report: When Agentic AI Starts Thinking Like a Radiologist
A mechanism-first look at why Radiologist Copilot matters less as a report generator and more as a workflow engine for high-stakes medical AI.