GET YOUR BEARINGS
Plan your next while True: learn() session
This guide offers observation‑focused exercises that let you explore while True: learn()’s systems, compare in‑game decisions with real‑world data‑science practices, and evaluate how settings shape your experience.
01 / THE GUIDE
Understanding Block Functions
Compare the in‑game description of a perceptron block with a textbook definition. Note any simplifications and consider how the visual flowchart mirrors actual weight adjustments.
- Begin with the simplest blocks to grasp data flow before tackling larger networks.
- Save configurations you like; they become shortcuts for future puzzles.
02 / THE GUIDE
Optimizing Accuracy vs. Speed
Run the same puzzle with two hardware setups. Record the gold‑medal criteria each time and discuss how hardware speed influences the trade‑off between accuracy and cost.
- Read the in‑game notes to connect blocks with their real‑world analogues.
- Follow the provided links if you want to study a technique beyond the puzzle.

03 / THE GUIDE
Freelance Contract Strategy
Select contracts of varying difficulty and track earnings versus failure rates. Use the data to decide when to invest in upgrades versus saving for a startup venture.
- Match contract difficulty with your current hardware to avoid costly failures.
- Consider startup investments only after you have a stable freelance income.
04 / THE GUIDE
Customization Impact
Purchase a cosmetic cat outfit and a hardware upgrade in the same session. Observe any performance change and reflect on the role of aesthetics versus functional upgrades.
- Prioritize hardware upgrades before cosmetic items for better puzzle performance.
- Weigh cost versus speed gains when buying new hardware.
05 / THE GUIDE
Accessibility Settings Review
Toggle Adjustable Text Size and Camera Comfort, then replay a puzzle. Evaluate how these settings affect comprehension and overall enjoyment.
- Enable Adjustable Text Size for clearer reading of block notes.
- Use Save Anytime to experiment without fear of losing progress.




