[ Free lecture overview ]

01

AI 101, Reframed

Foundations · Fluency not tools

Kristaps CirulisKristaps CirulisFormatLive + on demandDurationabout 50 minAccessFree lecture

Video coming soon

What you will be able to do

  • Predict, roughly, whether a task is easy or hard for a model before you try it.
  • Turn a vague ask into a brief the model can actually execute.
  • Give the model the context it needs instead of hoping it guesses.
  • Tell the difference between a model that is wrong and a prompt that was underspecified.
  • Set up a base operating prompt and a working memory you reuse every day.

Chapters

  1. The prediction machine07:00
  2. Context is the whole game12:00
  3. Prompting as thinking10:00
  4. Where it breaks08:00
  5. Your base setup09:00

What you build

Build your base operating prompt and a working memory file.

Harness module

Core reasoning

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Eleven more like this.

This is one lecture of twelve. The full program adds the live cohort, the graded builds and your own Harness.