The AI Literacy Series
How AI actually works, in plain English — no hype, no jargon, no fear. From what a language model really is, all the way to agents, economics, and safety. By the end, you’ll understand this technology better than most people who talk about it for a living.
Press play on any episode, or open it to read the full script.
Track 1 · Foundations
How these systems actually work, from the ground up.
9:14What an LLM Really Is
The autocomplete that learned to understand — the one idea everything else builds on.
7:34Embeddings
How words become coordinates on a map of meaning — and why king − man + woman = queen.
7:35The Transformer & Attention
The engine inside ChatGPT, and how it weighs which words matter to each other.
8:22How Training Actually Works
Where the millions of dollars go: one simple loop run trillions of times.
8:07Parameters & Model Size
What "70 billion parameters" means, and why bigger isn't always better.
Track 2 · Memory & Knowledge
Why AI knows some things, forgets others, and makes things up.
7:32Context Windows
The model's short-term memory — the "desk" — and why long chats forget the start.
8:25Vector Databases
Searching by meaning instead of keywords, and the hard part nobody mentions.
8:08RAG
Giving AI an open-book exam so it can answer about your private data.
8:01Hallucinations
Why a confident model makes things up — and the four real defenses.
8:10Fine-tuning vs RAG vs Prompting
Three ways to teach a model, and which to reach for first.
Track 3 · The Agent Era
From a thing that talks to a thing that does.
7:53Tool Use
Giving the AI hands — how it reaches outside the chat box to take real action.
8:07Agents
From chatbot to coworker: the think-act-observe loop, and the honest limits.
7:46MCP
The USB-C port for AI — one universal standard to plug any tool into any model.
7:51Multimodal
One brain, many senses: how AI learned to see, hear, and read at once.
Track 4 · Business & Strategy
How to think about AI as a leader and decision-maker.
8:12Why AI Is So Expensive
The economics: build-cost vs use-cost, and the levers that drive your bill.
7:50Open vs Closed Models
The Linux-vs-Windows question — rent convenience or own control and privacy.
8:03Scaling Laws
Does bigger always win? Diminishing returns, the data wall, and scaling smarter.
7:41The Data Moat
When everyone rents the same model, your unique data is the real advantage.
7:56Running AI Locally
How a model that needed a warehouse of chips can run on your laptop.
8:22AI Safety & Alignment
Keeping powerful systems on course — without the hype or the panic.
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