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2025-10-03 11:18:14 +00:00
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@@ -17,7 +17,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
*. Only you can prevent reward hacking.
*. Your model is in the leaderboards: be sure it has dropout.
*. The longer your Claude Code runs without input, the bigger the impending disaster.
*. If the optimizer is leading from the front, watch for exploding gradients in the rear.
*. If the researchers are leading from the front, watch for hardware failures in the rear.
*. The field advances when you turn competitors into collaborators, but that’s not the same as your h-index advancing.
*. If you’re not willing to prune your own layers, you’re not willing to deploy.
*. Give a model a labeled dataset, and it trains for a day. Take its labels away and call it “self-supervised” and it’ll generate new ones for you to validate tomorrow.