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KNOWLEDGE BASE & RESEARCH NOTES

Notes on Systems, AI Architecture & Quantitative Research

Documenting foundational principles, agent systems, frontier benchmarks, and quantitative scenario modeling.

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  • Actively Maintained
  • Empirically Grounded
  • Open & Searchable

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01 / TOPICS

Browse by Topic

Structured by technical domain, spanning core theory, systems architecture, and quantitative scenarios.

01Core Concepts

Foundations

Computer systems, discrete mathematics, statistical inference, and classical machine learning.

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02Agents & Control Architecture

AI Systems

Agent harnesses, MCP protocol, skills orchestration, and model control-flow engineering.

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03Models & Benchmarks

Frontier Radar

Frontier model evaluations, inference economics, API evolution, and capability snapshots.

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04Tools & Workflows

Practice

Development environments, automation scripts, CLI tooling, and reproducible engineering practices.

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05Quantitative & Applied

Domains

Quantitative macro scenarios, financial modeling, data visualization, and applied research.

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06Course Notes & Manuals

Reference Shelf

Historical course archives, cheat sheets, and technical references kept fully searchable.

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RECENT ACTIVITY

Recently Updated Notes​

Recently added or revised technical documentation.

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AI Pedagogical Architecture and Cognitive ScaffoldingCountervailing Forces & Monitoring RadarSite Lab

02 / WRITING

Essays & Articles

In-depth technical reflections, industry analysis, and long-form writing.

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01Attention Is All They NeedTechnology & SocietyMay 202402ToolsPractice & PhilosophyApril 202403Person of InterestCulture & AIApril 2024

03 / PLAYGROUND

Interactive & Graphics Experiments

Three.js interactive graphics and dynamical systems, including an ASCII globe and a Rössler chaotic attractor.

Open Playground Site Architecture & Build Notes