But this is the book that I give to every junior engineer because I think like nobody ever really talks about debugging as like a discipline outside of like basic heuristics.
the point is that where we always get bottlenecked is where the the previous processes and and and heuristics don't apply. Right? Like that's almost sort of definitionally what causes the bottlenecks.
My sense is that this hybrid is fairly common in practice; solvers aren't magical and if you can deduce additional structure using domain-specific analysis, it will often give the solver an important boost.
Yet the production methods still can’t make them below $10 per gram, so they’re still not cheap enough for some “obvious” applications like preventing kids getting malaria in a rainy season.
So you if you look at the leverage in some of these securitization books and mortgage books if you have 30 times leverage and you're getting 20% of the profits you'll go to 40 times leverage. It's just going to it's literally will add you know 25% to your bonus.
Sometimes designers will go to great lengths to make a user interface novel, or minimal, or simple. This is the wrong goal. Novelty, minimalism or simplicity are good heuristics for obviousness, but do not mistake the means for the end.
The Chase Sapphire Preferred is another great card in this top-tier category: I have gone through three of them in the last few years, collecting the bonus on each.
I don’t think we’ve replicated human intelligence, unless I know that the simulator is making exactly the same kinds of mistakes that people do, because people make characteristic mistakes. They have characteristic biases, they have characteristic heuristics that we use, and those have yet to see evidence that ChatGPT will do that.
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