@sillystring@infosec.exchange Agreed! I suspect the high price is partly to prevent excessive gTLD creation, but it probably increases the likelihood that more will be abandoned too.
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Integration tests are inherently scary. You want to make them as similar as possible to your production environment, which massively increases the risk that one day they will talk to production directly.
A new 16-bit floating point format for machine learning! https://hub.packtpub.com/why-intel-is-betting-on-bfloat16-to-be-a-game-changer-for-deep-learning-training-hint-range-trumps-precision/
It increases range at the expense of precision, and often allows 16-bit computation (smaller, faster hardware) to replace 32-bit ML logic.
An interesting comment from the Coverity paper: randomisation is a very powerful technique for checkers that would require exponential work. Unfortunately it increases the likelihood of churn.
