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 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 MOREI ask myself if this time AI is different, if the 2026 hype is going to last. And every time, I remember this question has already been asked before. Twice, actually, and both times the answer was no, the money ran out and the labs pulled down the shutters. This chapter is the story of […]
READ MOREMy toaster doesn’t have AI. Neither does my toothbrush, nor 90% of the products that slapped “AI-powered” on the box this year without touching a single line of their firmware. I know because I’ve been writing code for a long time, and I can spot an if statement in a suit when I see one. […]
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