I think at the time, part of it was we were expecting the compiler to be smart enough to see where the range objects were used and then do, like, if you iterated over a range, it would be very smart about, you know, loop unrolling and things like that.
And yet, as an Oxford Economics report released in January found, many layoffs that CEOs called AI-related were actually the result of past overhiring.
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When they are not, no amount of external validation can compensate. Misalignment shows up later as pressure to overstate results, to rush translation or to prioritize press cycles over scientific integrity. And my ultimate concern is that awards do nothing to prevent these pitfalls or even predict them in the first place.
That’s not really a pattern, more like a group of techniques from Vlad Khononov’s Balancing Coupling book. They can be summarized as follows: when making a design it’s important to balance coupling, by taking into account strength, distance and volatility of the relation.