Edit ‘the_seventy_maxims_of_maximally_effective_machine_learning_engineers’

the_seventy_maxims_of_maximally_effective_machine_learning_engineers.myco

@@ -38,7 +38,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
 *. When the loss plateaus, the wise call for more data.
 *. There is no “overkill.” There is only “more tokens” and “CUDA out of memory.”
 *. What’s trivial in Jupyter can still crash in production.
-*. There’s a difference between spare GPUs and GPUs you’ve accidentally mined Ethereum on.
+*. There’s a difference between spare GPUs and idle GPUs.
 *. Not all NaN is a bug – sometimes it’s a feature.
 *. “Do you have a checkpoint?” means “I can’t fix this training run.”
 *. “We propose a novel method” means “This has no sound mathematical basis.”