2,269 karma · joined June 15, 2017
_ A _
| / \ |
<<( O )>>
|_\ /_|
vI'm one of those people I suppose. Yes, if you want to play with microoptimisations and part of a calculation are known, you can flip a division into a mult (and shift).
This might seem somewhat useless at first, but you can use this to e.g. speed up calculations in nested loops, where you can precompute this for relevant loop-layers.
Can't believe this statement hasn't caused other nerds to crawl out of their holes to correct it yet, so here I go: acshually...
We know about Lonsdaleite, which packs its structured in hexagons rather than the usual cubic forms of diamonds.
... too bad its natural occurance is always somewhat spoiled and it doesn't reach its full potential in nature in any meaningful size, as far as we could observe.
- people can be slightly better than a given random observer, because they learned and prioritise to pay attention. They are better at recalling memorable and minor details, especially in short term memory and in memorable situations that a lot of people share long term. They will still forget long term information that is irrelevant.
- any such person and also observer can easily talk themselves into the belief that their skill must be absolute, especially since the observer will largely only test from his own inferior dataset.
- once the belief takes hold (because people love a good story), observers tend to look less for flaws and more for further confirmations to keep mythologising people.
You can let it pick your own location, and if you rewrite the language prefix at the beginning of the url, you get that language's version. [2][3]
[1] https://en.wikipedia.org/wiki/Special:Nearby#/coord/15.90721...
[2] https://fr.wikipedia.org/wiki/Special:Nearby#/coord/15.90721...
[3] https://es.wikipedia.org/wiki/Special:Nearby#/coord/15.90721...
Not if your LLM relies on existing code and you collectively create a million repos with hallucinated broken implementations that do not work before a good public exploit exists, which later LLMs rely on. LLMs are self-defeating that way.
that's a very dishonest or at least inaccurate depiction considering the multiple, semantically confusing places app data can be stored on win/linux
I feel this is fundamentally a perspective issue. If this is a problem, also consider why people want sealed classes in the first place. It's always a tradeoff and you can also always fork or propose your own improved version of the concept and see if it has enough merit to gain traction. There's a million other footguns in the language that needs similar scrutiny, I'm just happy java isn't C/C++.
What's a little circular dealing among friends anyway, surely there wouldn't be more to see here...
Anyway, happy to see reality adjusting itself.
Security-wise most of our data is with our customers on european servers (Word/etc. are not linked to OneDrive), except billing.
- a strict, limited syntax to lego complex ideas together
- strictly one-dimensional (characters/words in lines)
- variables were written with the intention to speak their semantic role
Coming to math beyond primary school was hilariously emotionally challenging:
- A simple sum described with a sigma symbol: "What? why are you writing all over the place for a simple for-loop or reduce operation? why a specific symbol at all for a trivial +-aggregation?"
- having to help a first year math university student with finding an algorithm to a number packing/division problem: "nobody teaches data structures or dataflow despite the fact it would make things very much easier for everybody?"
- variable 'a', 'b' in complex formulas: "What happened to you? Does your parent not love you? why are you a faceless goon in a sea of other symbols? Stormtropper-ass naming attitude smh. Also making things harder on the reader to digest the algorithm you actually want to talk about so you can be lazy with your pen"
- "Is any old Tom, Dick or Harry just making up multi-dimensional symbols here for every micro algo they come up with?!"
My math skills are okay now, since university was littered with just verbal formal definitions, which made everything easier. From day one I was yearning for a more unified formalisation of everything that was shown to me (or even competing universal formalisations, like in programming languages!), especially since Mathematics seem equally defined by the found insights as it was by the idiosynchracies of the researcher and the math community as a whole. I dreamed of getting the culture out of math, to relieve it from that "impurity" and make it more like my experience in programming, where a basic algorithm could be understood in the abstract and ported to a variety of languages/abstractions/formalisations.
Anyway, that was a kid's dream. Am I better now, team lead at some software company and teaching yyounger people programming and math in my spare time? Nah, I still look at everything with eyes of "How can this be improved?", just the "looks like rubbish to me" attitude has marginally come down.
their pivot from highly customisable kde-like experience to look more mac-like actually dropped that 80% towards 0 for me.
Also, fundamentally: for a Desktop ui to ask by default for more than one bar to stick into your desktop space is just greedy.