Advanced

What Is Intelligence, Really? A Working Framework

Before we can judge whether an AI is intelligent, we need a framework for what intelligence even means. Draw on Chollet, Dennett, and modern evals.

The Full Machine Learning Pipeline

From raw bytes to deployed model, every ML system follows the same ten-stage pipeline. Master it and you can read any architecture paper.

Transformers Under the Hood

Attention, positional encoding, residual streams. A walk through the architecture that powers every frontier language model today.

The Economics and Ethics of Training Data

Data is the strategic asset of AI. Understand the supply chain, the legal fight, and the philosophical stakes before you build anything on top.

Scaling Laws and Compute-Optimal Training

Dive into the equations that governed the last five years of AI progress, and the fresh questions they raise now that pure scaling is hitting walls.

Emergence, Capability Forecasting, and Safety

Emergent abilities make AI both more exciting and more dangerous. How do labs forecast what the next model will do — and what happens when they are wrong?

Narrow, General, AGI, ASI: What We Mean and Why It Matters

The terminology ladder of AI capability is loaded. Clarify your definitions and you clarify your whole view of the field.

Probabilistic Systems: Why LLMs Do Not Act Like Code

Writing software on top of an LLM is not like writing software on top of a database. Treat it as a stochastic system or it will bite you.

Open vs. Closed Models: Philosophy and Strategy

Open-source AI is both a technical movement and a political one. Understand the arguments so you can pick a stack and defend it.

The Three Ingredients: Data, Compute, Algorithms (Capstone)

Every AI breakthrough of the past decade rests on three interacting ingredients. Synthesize everything you have learned into one working model.

Anthropic's Prompt Engineering Patterns

Anthropic publishes detailed prompt engineering guidance. Master the core patterns — Be Direct, Let Claude Think, and Chain Complex Prompts — to write production-grade prompts.

Claude's XML Tag Superpower

Claude was trained heavily with XML-tagged examples. Using tags to separate inputs, instructions, and expected outputs is one of the highest-leverage Claude-specific techniques.

Prefill Attacks and Defenses

An attacker can inject text that looks like part of the AI's own response, tricking it into behaviors it would otherwise refuse. Understand the attack vector and how to defend.

What A Business Actually Is

Forget the TikTok hustle videos. A business is a machine that turns work into money, and the machine has parts you can name.

Reading A P&L Without Falling Asleep

The profit and loss statement is a business's health check. Here's how to read one in ten minutes and spot trouble in thirty seconds. The three P&L numbers that tell you 90% of the story Gross margin % — tells you the fundamental health of the business model Operating expense growth vs.