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Systems generally become more efficient when under stress. They are also forced into local optima - everything has upsides and downsides.
by manmal 2y ago
Systems generally become more efficient when under stress. They are also forced into local optima - everything has upsides and downsides.
- sheepscreek 2y agoInterestingly - this is the idea behind Nassim Taleb’s book “Antifragile” and the concept of “anti-fragility”. In essence, it promotes dynamic/evolutionary/always learning behaviour than performing the same set of steps every time, and in the process, becoming stronger than before. An example he shares is: how the breakdown of muscle tissue through exercise leads to more muscle development and an increase in strength. I guess it’s similar to LLM training using error/loss reducing functions (practice makes perfect) but dissimilar in the sense that training is a one—time action.
- TeMPOraL 2y ago> They are also forced into local optima The good ol', "under pressure, you don't rise to the occasion, but sink to the level of your training"?