But there's a reason we don't use those algorithms. We don't need out-of-the-box thinking that's so far outside the box that it's useless.
With these kinds of circuits, they were so sensitive to the specific conditions that the circuit was tested in (temperature, process variation, ..) that the solution couldn't be generalized to be used outside of that specific experiment.
We need the kind of intelligence that can question what assumptions can be challenged, and which we need to keep to have a viable (eventually commercially viable) solution.
If that was the case, then the algorithm was useless or flawed. IRL autorouters must take into account real physical constraints, lie wire length, signal integrity and tolerances to produce valid designs. A circuit that doesn't perform well under IRL conditions violates those constraints.
With these kinds of circuits, they were so sensitive to the specific conditions that the circuit was tested in (temperature, process variation, ..) that the solution couldn't be generalized to be used outside of that specific experiment.
We need the kind of intelligence that can question what assumptions can be challenged, and which we need to keep to have a viable (eventually commercially viable) solution.