1/ Three batteries can each make a sensible charging decision and still overload a shared power line together. TIG's public gridflow solver tackles this coordination problem. Cheap electricity isn't enough. The whole fleet has to fit the grid.
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3/ The code uses internal price adjustments that account for congestion. Think of a virtual toll that changes how attractive an action looks to the planner. It's a calculation inside the solver, not an extra fee charged to electricity users.
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3/ The proof is then built for that exact winning attempt and block. Other nodes still verify it in full. The miner can postpone the extra work of constructing that evidence while the network keeps its complete verification requirement.
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3/ Superquantum's challenge included a two-qubit version of that problem. Teams had to build their answers from a small allowed set of instructions. The judges tracked both the number of costly T operations and how closely the result matched the target.
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An AI might find loopholes in the rules we set for it. But those loopholes might not apply in the world running its simulation.
1/ In TIG, writing an algorithm is only the beginning. Its reward design also asks whether other participants actually use it to produce qualifying results. That creates a feedback loop between the people improving software and the people running it.
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3/ The public code calls this metric adoption. It feeds into rewards for eligible code submissions. When multiple implementations reference the same registered algorithmic advance, their adoption also contributes to that advance's reward calculation.
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