From Tacit to Fragmented: When Knowledge Stops Behaving
A mechanism-first reading of the GenAI SECI model, and why enterprise knowledge systems may need to stop demanding perfect manuals before they can learn.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Seeing Is Believing: Why Visual RAG Might Be the Missing Layer in Clinical AI
A visual RAG system for ophthalmology guidelines shows why clinical AI needs controlled evidence selection, not just more retrieved text.
The Cardiologist’s Copilot: Why Agentic AI Finally Understands the Human Body
A mechanism-first reading of MARCUS shows why clinical AI progress depends less on generic model scale than on domain perception, orchestration, and grounding checks.
The Mask Matters: Teaching AI What Not to See
A mechanism-first reading of SpecTM, a physics-informed masking strategy that shows why trustworthy domain AI may depend less on seeing more data and more on hiding the right signals.
The Memory That Thinks: When AI Stops Remembering and Starts Reasoning
A case-first reading of GSEM, a graph-based self-evolving memory framework that shows why useful agent memory depends less on storing more experience and more on knowing when an experience applies.
Belief Is a Graph: Why LLM Agents Need Structured Minds
A mechanism-first reading of dynamic belief graphs, and why enterprise LLM agents need structured, auditable mental states rather than longer prompts.
DIAL-KG: When Knowledge Graphs Finally Learn Like Humans
A mechanism-first reading of DIAL-KG, showing why incremental knowledge graphs need memory, governance, and soft deprecation—not just better extraction.
From One Shot to Many: Why AI Should Stop Guessing and Start Exploring
FormalEvolve shows why some AI systems should stop searching for one perfect answer and start building verified repertoires of usable alternatives.
Learning from Failure: When LLMs Finally Pay Attention
A mechanism-first reading of HeRL, a reinforcement learning framework that turns failed LLM outputs and unmet rubrics into guided exploration signals.
The Cost of Thinking Twice: Why Agentic AI Needs a CFO
A mechanism-first reading of utility-guided LLM agent orchestration, and why production agents need cost control as much as tool access.