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A number nobody can compute, for machines you can read in six lines.
A Turing machine here is a handful of states, a tape of blank cells, and one instruction per (state, symbol) pair: write a bit, move one cell, go to a state or halt. That is the whole rulebook. Tibor Radó asked in 1962 how long the longest-running halting machine with n states runs, and called the answer BB(n). Then he proved it is not computable — because knowing BB(n) would let you decide whether any n-state machine halts, by running it that long and giving up, and Turing had already shown in 1936 that nothing can do that.
The values are absurdly small and absurdly hard. BB(2) = 6 steps. BB(3) = 21. BB(4) = 107, which took until 1983. BB(5) = 47,176,870 was an open question for forty years and was settled in 2024 by a distributed, machine-checked proof. BB(6) is open, and is known to exceed a tower of fifteen tens. This lab stops at four states because that is where the search still fits in a browser — and because stopping there lets you do something no other lab on this platform can.
There are exactly 1,728 two-state machines in this enumeration, and the default sweep runs all of them. That is not a sample: when Coverage reads 100 the search has finished, and the champion it found is BB(2) rather than a guess at it. Every other reading here is a report on a finite search — including Decided, which counts the machines whose fate was proved, either by halting or by repeating a configuration they had already been in. Everything else is unknown, and no larger step cap fixes that in general. That is not a limitation of the lab. It is the theorem.