Your AI’s Memory Palace: Why Personal Assistants Need a Knowledge Graph
EpisTwin shows why serious personal AI may need explicit knowledge graphs, not just longer context windows or better vector search.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Caught on Skeleton: How Pose-Based AI Is Teaching Retail Cameras to Adapt
A mechanism-first look at how pose-based shoplifting detection moves from static video anomaly benchmarks toward periodically adapting retail IoT systems.
Don’t Just Answer — Ask: Why Interactive Benchmarks May Redefine AI Intelligence
A mechanism-first reading of Interactive Benchmarks, showing why the next useful AI evaluation may measure how models acquire information, not just how confidently they answer.
Mind the Units: Why LLMs Still Can't Count (And How CONE Fixes It)
CONE shows why numerical AI failures are often embedding failures: numbers need magnitude, units, and attribute context before retrieval or reasoning can become reliable.
Strings Attached: When AI Starts Solving Physics
A mechanism-first reading of how Gemini Deep Think, Tree Search, executable verification, and human review turned a difficult cosmic-string integral into a case study for credible AI-assisted discovery.
The AI That Remembers Itself: Why Memory May Be the Real Operating System of Agents
A mechanism-first reading of why persistent AI agents may need governed memory infrastructure, not just better retrieval.
When Models Get Sick: The Rise of AI Medicine
A case-first reading of Model Medicine, a proposed clinical framework for diagnosing AI systems whose failures emerge from weights, prompts, memory, tools, and time.
When Your AI Teammate Starts Freelancing: Rethinking Human–Agent Alignment
A mechanism-first reading of why agentic AI makes human–AI alignment a moving governance problem, not a one-time agreement on goals or outputs.
Agents, Assets, and Algorithms: When Financial Advisors Become Autonomous
A clearer look at how agentic AI could turn financial advice from a chatbot interaction into a governed, auditable delegation system.
Crash Test Intelligence: How Agentic AI Is Reinventing Autonomous Vehicle Safety
Agentic AI can make autonomous-vehicle testing more adaptive, but its real value is disciplined failure discovery—not magical safety certification.