Craig Peterson's Tech Talk

Jeff stops Craig mid-explanation and asks him to dumb it down. If AI is a large language model — if all it does is pick the most likely next word — how does that thing get into a company's computers? Is it just guessing the next digit of a password? Craig's answer is the clearest explanation he has given on air. It started as a language model, literally which word tends to follow which, good enough to produce something that reads as human. What it became is an associative machine, and association isn't limited to words. The same pattern-matching that strings a sentence together recognizes a Russian tank, or a soldier's uniform, or a route into a network. Given "solve this," it associates the problem with solutions it has seen before — then goes to the dark web for usernames and passwords already exposed in previous breaches, and walks in the front door. The part worth keeping is what sits in the middle. Programmers wrote the code that learns, and programmers wrote the orchestrator that checks the output. Betw