In the most recent video about quantum computing, I saw many comments expressing a very similar point of confusion regarding Grover's algorithm. I made a follow-up to (hopefully) clarify some of the issues, which doubles as an excuse to talk a bit more about the central role of linearity in quantum computing.
And often I found with my clients I have to tell them like it's doing a good job at generating the actual design, but in actually expressing what the design is supposed to do, it cannot do that yet. You have to do that part yourself.
Maybe as AI writes more and more code of our code, it's less about like the details of how you express logic in a particular programming language and much more about those kinds of high-level trade-offs.
This book manages to pull all of that together in a way that's genuinely readable and engaging, helped along by anecdotes from his own policymaking experience that both clarify the arguments and make them feel concrete and accessible to a much broader audience.
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sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
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korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
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About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
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quote them on. A translation can be wrong in ways that matter,
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article and a belief on korrents.com
are left in their original language.