Before we get into classic machine learning, neural networks, and language models, this chapter takes a different shape: no history, no philosophy, just the minimum toolkit of math for AI you need for the rest of the series to actually click. No heavy formulas, no exams, no flashbacks to university. Just the intuition behind three […]
READ MOREIn the previous article we installed Go and compiled our first binary. Today we cover the raw material everything else is made of: Go data types, variables and constants. And at the end, iota, that word that shows up in every Go codebase and nobody explains right the first time. Static typing, minimal ceremony Go […]
READ MORELast chapter I promised we’d come back to the map, so here it is: what types of AI exist, and why almost everything you’ve seen in this series so far, without exception, falls into the lowest and most boring of the three tiers. This chapter separates what already exists from what’s still, at best, a […]
READ MORESeveral years writing code, and only now am I catching up to a mistake I’ve been dragging along the whole time: zero open source contributions. I’d bang my head against a wall if it did any good. Not one team, not one manager, tech lead, or coworker ever brought it up. Repositories, yes, since day […]
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