What AI actually is, how it works, what it can and can't do.
A plain-English tour of RLHF: how human preferences get baked into a reward model, why it matters for LLMs, and the open questions about whose values end up encoded.
A friendly tour of computer vision: what it actually does, how it pulls meaning out of pixels, and where you'll find it showing up in the wild.
A friendly tour of how machines turn spoken words into text, why it's harder than it looks, and where the field is heading with self-supervised learning.
A practical look at how natural language became a programming interface, why it's harder than it sounds, and what separates a good prompt from a lucky one.