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trees/03-b-periscopes · not started. Inherits the barrier harness from Tree A

Tree B: periscopes. Summary in plain language

The question

Levin looks for hidden intelligence in a simple way. He picks a system, decides what counts as its goal, puts obstacles in the way, and watches how cleverly it gets around them. He uses this on biological constructs that have never existed before, so nothing could have been selected for the cleverness. We use the same method on software that has never been trained: random networks, cellular automata, artificial-life soups and untrained language-model skeletons.

What an experiment looks like

We build one test bench that any of these systems can be plugged into. For each system we write down in advance its goal, the obstacles we will add, and the result that would surprise us. Someone who has not run the system writes this, so we cannot invent the surprise after seeing the data. Each system then runs many times with different random seeds, next to a shuffled copy of itself as a control. We score every run twice. One score uses the goal we chose. The other uses whatever the system's own rules are actually pushing it toward.

What the outcomes could be

What kind of research this is

Artificial-life and dynamical-systems experiments, run with the pre-registration habits psychology adopted. The runs are cheap, deterministic and repeatable. The hard part is writing the surprise criteria honestly.

Timeline

Tree A built the sorting bench and the barrier harness on 2026-09-30, so work can start as soon as this line is scheduled. Working through the zoo of systems takes another quarter.

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