2 posts tagged “explainer”.
In the first pillar we landed on a hard fact: a language model predicts the next word, and it optimizes for plausible, not true. A hallucination is what happens when those two come apart — and it isn't the machine breaking. It's the machine doing exactly what it does, in the same confident voice it uses for everything else. You don't patch that out. You contain it. This pillar is about how.
Read post →Since text-generating AI went mainstream, an entire industry started using one word — AI — to mean one product. That collapse is expensive. It hides the half-century of techniques quietly running everything from fraud detection to global logistics, and it dresses up a next-word predictor as something that reasons. The first pillar of AI literacy is learning to see the field at its real size, and knowing what the model in front of you is actually doing when it answers.
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