Jeffrey Emanuel – SmartEdgar, Agents & Markets, Lumera

The Library

Essays, research notes, and deep dives

I write to think. This is a collection of my technical essays on AI architecture, market mechanics, and software engineering. No fluff, just density.

Featured Essays

GitHub•Frontier Research

Building a Brain, Not a Calculator: Bio-Inspired Nanochat

A deep technical dive into replacing static Transformer weights with metabolic, fatigue-prone, and evolving biological analogs. Explores presynaptic fatigue, Hebbian fast-weights, and structural plasticity.

Read Article

GitHub•Frontier Research

11 Ways to Break the Transformer: Model-Guided Research

What happens when GPT-5 acts as Principal Investigator? An exploration of 11 exotic architectures including Matrix Exponential Gauge Learning, Tropical Geometry, and p-adic Attention.

Read Article

YTO•Markets & AI

The Short Case for Nvidia Stock

A 12,000-word deep dive into how AI economics, models like DeepSeek, and GPU supply can collide with valuation narratives. Explores the potential reflexivity of the AI capex cycle.

Read Article

The Incredible Magic of CMA-ES

An interactive deep dive into the Covariance Matrix Adaptation Evolution Strategy. Explains how it adapts to high-dimensional, non-convex landscapes where gradient descent fails.

Read Article

YTO•History & Science

The Most Impressive Prediction of All Time

Uses a forgotten historical prediction—the wave theory of light and the Poisson Spot—as a lens on evidence, updating priors, and how we reason under massive uncertainty.

Read Article

FMD•Investing

Factor Risk Models and the Hedge Fund Business

An insider's look at how 'smart' risk models like Barra often unknowingly distort incentives, encourage crowding, and create hidden systemic risks within multi-manager platforms.

Read Article

GitHub•AI Research

LLM Introspective Compression

Proposes treating LLM context as a 'save state'. By allowing models to compress and manipulate their own internal thought states, we unlock capabilities like reasoning backtracking and reinforcement learning.

Read Article

FMD•Data Science

PPP Loan Fraud: A Data Science Detective Story

Reconstructs massive fraud patterns in the PPP loan program. Shows how network analysis and simple heuristics could have caught billions in theft that standard banking checks missed.

Read Article

GitHub•AI Research

Multi-Round LLM Coding Tournament

Demonstrates that collective intelligence outperforms individual genius. A framework where multiple LLMs iteratively refine coding solutions via peer review to break out of local optima.

Read Article

FMD•Healthcare & AI

Dr. GPT: Empowering Your Healthcare Decisions

How to use AI as a tireless patient advocate. Describes a method for synthesizing scattered medical records into a unified dossier to catch missed diagnoses and dangerous drug interactions.

Read Article

FMD•Security

Protecting Against AI Prompt Injection

Traces the history of 'jailbreaking' from simple commands to recursive meta-prompts. Argues that internal guardrails always fail and proposes external 'inoculation' strategies.

Read Article

FMD•Dev Workflow

Making Complex Code Changes with Claude Code

Advocates for 'separating cognition' when using agents. Instead of asking for code directly, use agents to generate granular plans first, spreading the reasoning load across more tokens.

Read Article

FMD•AI Safety

Some Thoughts on AI Alignment

Argues that internal alignment (Asimov's laws) is a losing battle. Proposes an external 'criminal justice system' for AI: helper models that monitor and police the primary model's output.

Read Article

FMD•History of Math

The Lessons of Hermann Grassmann

The story of the self-taught genius who invented linear algebra (the wedge product) decades before it was understood. A lesson on how radical abstractions are often rejected by the establishment.

Read Article

FMD•Software Architecture

Engineering the Mindmap Generator

Why pipelines aren't enough. Details the 'non-linear exploration model' architecture needed to extract deep, hierarchical structure from complex documents without hallucination.

Read Article

YTO•Engineering

Building the Python Backend for YTO

A technical retrospective on using FastAPI, SQLModel, and Pydantic to build a heavy-duty async backend. Covers Whisper integration and optimizing for concurrency.

Read Article

FMD•Utility

TaxGPT: Using AI for Tax Prep

A practical guide to decomposing tax returns into context-sized chunks for AI analysis. How to find deductions, spot errors, and out-perform human accountants on complex personal returns.

Read Article

GitHub•Statistics

Hoeffding's D Explained

Standard correlation misses non-linear relationships. This guide explains Hoeffding's D, a powerful non-parametric measure that detects complex dependencies where Pearson and Spearman fail.

Read Article

GitHub•Algorithms

Lamport's Bakery Algorithm

A visual, Pythonic implementation of Leslie Lamport's classic solution to the mutual exclusion problem. Illustrates how fair concurrency can be achieved without atomic hardware primitives.

Read Article

YTO•Web Dev

Next.js GitHub Markdown Blog System

Explains the architecture behind the open-source blogging engine. How to treat GitHub as a headless CMS, using static generation for speed and Git for version control.

Read Article