Become an AI Expertv2.1
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Reference

Lab contract

What the thirteen labs promise to anyone who relies on them or extends them.

Promise

  • Each lab is one file, standard library plus NumPy, runnable with python3 labs/labNN_name.py from the course root or ./run_all.sh from labs/.
  • Each prints the measurement that backs one or more first principles and ends with OK; a false principle makes an assertion fail with a message that says what was expected.
  • Seeds are fixed. Numbers printed in the modules and in FIRST-PRINCIPLES.md were produced by these files on 2026-11-05 on Python 3.14 with NumPy 2.5; small platform differences in timing lines (lab 03, lab 12) are expected, assertion thresholds leave room for them.
  • No lab needs a GPU, a network connection, a key or more than a minute.

Not promised

  • The labs are not the projects. They show a mechanism; the modules' projects apply it to a real system.
  • Lab 03's decoder, lab 09's policy and lab 10's reader are toys. The invariants are real; the models are not.
  • Lab 12's measured batch effect depends on your CPU's BLAS; the assertion asks only for a clear gap.

Extending

Copy a lab, change one variable, add one assertion, and write the paragraph. That is Project 7 (an ablation) at its smallest.