Instead of waking consumers and asking "is the current state what you want?", buffer every transition into a per-consumer queue. Each consumer drains its own queue and checks each transition individually. The consumer never misses a state.
But lately, I’ve been diving deep into computational neuroscience (shoutout to the Computational Psychiatry course that sent me down this rabbit hole). And it turns out, the biological wetware in our skulls works fundamentally differently than the models we build in PyTorch.
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