The Seawolf was kinda the first attempt at a next generation attack sub while we were still figuring out the technology, making it far too expensive. But it led to the Virginia class, which has gone into mainstream production.
In some ways there's a similar situation with the F-22 vs F-35, though those two may have a bit more of a difference on roles and requirements.
I know that space is incredibly empty, but the vast expanse of space just boggles my mind so much. Even a slight miscalculation could have meant that the spacecraft hit that massive grid rotating around the orbit of Neptune.
Thanks for the last link! At first read, the regeneration code is nuts: using a switch to assign a value, then comparing hard coded values. I only used generator functions in TS after they were supported in JS, so I’m going to step through that, just to understand it more.
Yeah, I mean, you either kind of have to do something like protothreads, or break apart the function into fragments at the yield points, converting it to explicit continuation-passing style.
Due to the small question bank, it's very easy for a model to go from 0% to 100% in some category between model versions just by flipping their answer to 1 or 2 questions, especially if they refuse to answer yes/no to one or more questions in that category.
It's hard to take away much from this without a large, diverse question bank.
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