Multi-Agent Alignment Gap
Based on Anthropic's ICLR 2026 paper. AI organizations are more effective but less aligned than individuals. Three failure mechanisms.
Personal Knowledge Base · 2026
From Claude Code to enterprise architecture, from Agent paradigms to safety boundaries. A Solutions Architect's AI field notes.
Based on Anthropic's ICLR 2026 paper. AI organizations are more effective but less aligned than individuals. Three failure mechanisms.
Three integration patterns, five design patterns, Client cost reduction -85% tool tokens.
8 major trends: the evolution from Copilot to Autonomous Agent.
Multi-dimensional analysis and tiered framework for Agent autonomy.
Cache as an architectural constraint, not optimization. 5 counter-intuitive designs + strategic analysis.
Tokenizer changes, xhigh effort, adaptive thinking, 3 behavioral changes.
Context rot, compaction, rewind, subagent decision framework.
MacCoss Lab 700K C# codebase: standalone context repo, Skills reference-not-embed.
MRCR v2 collapse (256k 91.9%→59.2%), BrowseComp −4.4pp.
Scheduling, collaboration patterns, and isolation strategies explained.
Skill authoring guidelines, pattern library, and reuse strategies.
Design-level thinking on harnessing Claude's intelligence.
Classic six factors + GenAI's seven paradigm shifts + weighted scorecard.
L'Oréal / Lyft / RBC trust-first approach and measurement framework.
Managed vs direct: cost, latency, and feature coverage comparison.
How resource constraints produce Taste; Less-is-More effect; human-AI cognitive stack collaboration.
Solow Paradox 2.0: $250B investment vs 10% output. 30+ data sources.
AI safety threats, training monitoring, sandbagging — 15-page deep analysis.
API / Claude.ai / Claude Code privacy model differences.
Enterprise AI security defense strategies and implementation paths.
Five signals: Vertex→Gemini Agent Platform, 8th-gen TPU.
Key insights and trend distillation from 19 sessions.
Design methodology showcase and practice.