Claude Academy
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Intro to AI Capabilities and Limitations

Lesson 115 min
In this lessonBy the end, you’ll be able to
  • Understand what this course covers and how it's structured
  • Explain why this material is durable even as models and products keep changing
  • See how the Capabilities and Limitations framework and the 4D Framework work together

Welcome to the AI Capabilities and Limitations Course

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Intro to AI Capabilities and Limitations · 4 min

SummaryTranscript

The 4D Framework teaches YOU how to collaborate with AI. This course teaches you how AI is able to work with you. Together they're one system: human competencies on one side and machine properties on the other.

A mental model of the machine

Key takeaways

  • The AI Fluency Framework (4Ds) describes human competencies. This course describes the machine properties those competencies respond to.
  • Generative AI has four core properties: Next Token Prediction, knowledge, working memory, and steerability.
  • This material is durable because the properties stay stable even as models improve. Boundaries shift but the properties remain the same.

Exercises

Mapping Your Current AI Use

Why? This is the foundation for every exercise that follows in this course.

  1. List 4–6 tasks you've actually used AI for in the last two weeks. If you haven't used AI much yet, list tasks you'd like to use it for. Be specific: "drafted a client email explaining a project delay" tells you something. "Writing" doesn't.
  2. For each task, note one line: did the output land on the first try, or did you need to rework it before it was usable? Don't overthink this. A quick gut check is fine.
  3. Now share your list with Claude (or any AI assistant) and ask: "For each of these tasks, what's one way this could go wrong if I'm not paying attention?" See if the failure modes it names feel relatable. If they don't, push back: "That doesn't match my experience. Here's what actually went wrong..."

Hold onto this list. You'll return to it in every lesson, and it'll look different each time you do.

Lesson reflection

  • Which of your listed tasks felt "safe" to hand to AI, and which felt risky? Can you articulate why yet?
  • What's one AI behavior you've noticed (good or bad) that you couldn't explain at the time?

What's next

Before the four properties, we need to draw a line around what "AI" means in this course. We're talking specifically about generative AI and how it's different from other forms of AI.