Inside topic library
Read a guide below, or enable JavaScript for interactive models.
- How AI inference works — Follow a text request through the software, memory, and hardware that generate an AI response.
- How compound interest grows — Carry one balance through repeated percentage changes, compare simple and compound interest, and see why an illustration is not a forecast.
- How Bayes’ rule updates a belief — Follow a factory’s components into faulty, not-faulty and flagged groups; change sensor assumptions to see why the denominator matters.
- How robots sense and act — Follow a parcel robot through sensing, control, powered movement and measured feedback; explore why a stop request is different from stopping.
- How your gut and its microbes work — Follow a bite of food to discover how your body absorbs nutrients and gut microbes transform some of the leftovers.
- How LLM learning and fine-tuning work — Inspect a learning update, then plan and evaluate one narrow fine-tuning task. A conceptual guide, not a runnable training recipe.
- How modern high-speed rail works — Explore the train, track, power and signaling behind a fast journey, and see why top speed differs from journey speed.
- Quantum physics: predicting one photon — Explore how a photon's preparation and the test you choose determine its chances, using an ideal polarization experiment.
- What is a virus, and how does it work? — Explore how a package of genetic instructions uses a host cell to make new virus particles, with influenza A as an example.