Lab 01 · Unity score
Distance becomes a score
Move the input and watch distance from a target become a scalar score. Find the symmetry yourself.
Ideas you can move.
Make a prediction, change a parameter, and watch the consequences. These focused teaching models compute their results directly in your browser.
Lab 02 · Binary entropy
How uncertain is a bit?
Change a probability, compare the outcomes, and find where binary uncertainty reaches its maximum.
Lab 03 · Gradient descent
Take the next learning step
Choose an initial value and step size. Step through a quadratic objective or play the whole trajectory.
Lab 04 · Graph partitions
Search every possible split
Change a small graph and compare every eligible bipartition using an explicit normalized-cut objective.
Lab 05 · Weighted aggregation
Give each contribution a weight
Change the inputs and their weights. See which contributions shape the normalized result.
Lab 06 · State and stability
Watch a system remember
Follow a scalar state through repeated updates. Explore how an update rate changes its response.
Lab 07 · Evidence workshop
What does the evidence support?
Sort hypothetical research scenarios by the evidence they actually provide, then inspect the reasoning.
What is running here?
These labs run the displayed teaching calculations. The archive documents original AI and AGI research builds; a source record does not by itself connect or activate those systems. The learning guide explains the scope of each kind of activity.