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Writing

Causal analysis you can argue with.

Posts are structured around variables, counterfactuals, mechanisms, and interventions — with explicit uncertainty and falsification ideas.

All posts (chronological)

Post Notes
Why LLMs Fail at Knowledge Graph Extraction Asserted graphs, identity resolution, constrained augmentation, provenance
Temporal Memory Beats Bigger Context Temporal validity, supersession, hybrid retrieval, governance
Mechanism-Executable Causal GraphRAG Executable clauses, EMCT primitives, governance loop, interventions
HRM’s Latent Reasoning Still Needs Verification Adaptive depth, latent reasoning, harness verification, deployment risk
Agent Memory Needs Identity, Governance, and Decay Identity, temporal validity, provenance, decay, governance
AI Coding Assistants: A Causal Framework for Productivity and Risk Harness vs model, tests, measurement, Goodhart loops
From SWOT to Testable Causal Hypotheses Translate narrative into falsifiable mechanisms + governance
Why Small Frictions Cascade into System Failure Mechanisms, feedback loops, leverage points

Where to start

How to Read Posts

A quick map of the structure: model → diagrams → evidence → interventions.

Topics

Curated entry points that scale better than a huge navigation tree.

Reasoners

If you want the infrastructure behind the writing, start here.