No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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Rules, Then Learning, Then Guessing Words

Computers have been made to seem smart in three ways: rules someone wrote down, patterns learned from examples, and guessing the next word. All three are already running in a dispensary, and each is right for different jobs.Seventy years of AI in three approaches: hand-written rules (expert systems), learning from labelled examples (machine learning), and next-word prediction at scale (LLMs). Where each lives in cannabis software today, and how to tell which one you are looking at.Top-down symbolic systems versus bottom-up learned models, the knowledge-acquisition bottleneck that ended the expert-system era, the path from perceptrons to transformers, and a working rule of thumb for when a rule beats a model.

7 min read

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A name and an email, once. The whole course is free, nothing is sold to you, and your place is kept so you can pick it up on your phone later.A name and an email, once. The course is free; the account exists so your progress and your level on the dial follow you between devices, and so you can be issued a certificate at the end.name + email. free. account carries completion state, data-level and certificate issuance.

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We store your name, your email, which lessons you open and which you finish, and the reading level you use. Distru can see that. Nothing is charged and nothing is sold on.Stored: name, email, which lessons you open and complete, and your level on the dial. Distru staff can see it. No payment, no third-party advertising trackers.stored: name, email, per-lesson view + completion, data-level. visible to Distru. no payment, no ad-tech, no third-party pixels.

Adapted from Microsoft's AI for Beginners (Lesson 1: Introduction and history of AI, Lesson 2: Symbolic AI), MIT License and Microsoft's Generative AI for Beginners (Lesson 1: Introduction to generative AI), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.