Paging Dr. Model: When AI Runs the Workup
DxDirector-7B shows why clinical AI becomes more operationally interesting when it plans the diagnostic workflow, not merely when it answers medical questions.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Patch Tuesday for the Law: Hunting Legal Zero‑Days in AI Governance
A mechanism-first reading of Legal Zero-Days as an AI governance risk: not ordinary loophole hunting, but institutional vulnerability discovery at machine speed.
Skip or Split? How LLMs Can Make Old-School Planners Run Circles Around Complexity
A comparison-based reading of why LLM-assisted planning works best when the model predicts constrained intermediate states rather than pretending to be the planner.
Therapy, Explained: How Multi‑Agent LLMs Turn DSM‑5 Screens into Auditable Logic
DSM5AgentFlow shows that the business value of clinical LLM agents is not autonomous diagnosis, but auditable intake infrastructure.
Three’s Company: When LLMs Argue Their Way to Alpha
AlphaAgents shows how role-based LLM agents can act less like an autonomous portfolio manager and more like a structured, auditable investment committee for stock selection.
Count Us In: How Dual‑Agent LLMs Turn Math Slips into Teachable Moments
A close read of new evidence on where LLMs actually fail at math—and how dual-agent review, step labels, and tool delegation can make AI tutors more trustworthy.
Fast & Curious: How ‘Speed-First’ LLM Architectures Change the Build vs. Buy Math
A business-oriented map of efficient LLM architectures, showing which speed lever matters for latency, memory, long context, capacity, edge deployment, and agentic workloads.
Forecast: Mostly Context with a Chance of Routing
A practical reading of four LLM strategies for context-aided forecasting: diagnose failures, correct forecasts, learn from examples, and route expensive models only where they earn their keep.
Kill Switch Ethics: What the PacifAIst Benchmark Really Measures
A practical reading of PacifAIst, a benchmark that tests whether LLMs prioritise human safety when their own operational goals are on the line.
RAGulating Compliance: When Triplets Trump Chunks
A careful reading of triplet-based regulatory RAG shows why knowledge graphs matter most for auditability, strict retrieval, and navigation—not magical answer accuracy.