It's actually from APL.
2,346 karma · joined September 2, 2010
It's actually from APL.
My opinion is this is just a stalling tactic, he thinks the market will recover by next year and this is a pretext to wait until then.
it wasn't an accident, the printing press was banned by the ottoman empire in 1485.
It's because there's no difference for a normal non-leaf function between a stack calling convention and a register calling convention. If 'f' is a non-leaf function either the caller of 'f' will have to put f's arguments onto the stack (stack calling convention) or 'f' will have to save its argument registers onto the stack before doing its calls (register calling convention).
Register calling conventions end up being a big win if you have lots of non-leaf functions that can forward their arguments (rare) or lots of leaf functions that can't be inlined (also rare). Some programs will get a big boost out of it but most will only get a small one.
First off, how much of this is going to wikipedia editors and how much is going to other stuff? Honest question, I tried looking and I couldn't figure out which grants actually get approved.
Secondly, the number of editors peaked in 2007, as far as I know. Why does the money spent on grants and awards keep going up if the number of editors keeps going down?
What are your sources for this because cross checking with wikipedia, which uses Ethnologue as a source, I find several discrepancies. For example the number of people who speak french isn't "the same amount" as native english speakers, it's 53% and that's if you include 2nd language speakers. You make it sound like Hindi and English are comparable but Hindi has very few 2nd language speakers.
In fact looking at [1] the choice of english looks a lot more logical than I would have thought.
[1] https://en.wikipedia.org/wiki/List_of_languages_by_total_num...
https://goo.gl/maps/d2Ps6WUNESFVtDuj6
Now anyone who wants to take a pilgrimage to the birthplace of UTF-8 can.
The exception being modern fly-by-wire planes that simply don't have an option of manual override.
The speaker talks about trimwheel behaviour. Pilots train for runaway stabilizer trim, but that's continuous movement of the trimwheel, faulty MCAS looks much like regular speedtrim
Empirically, the Lion Air plane exhibited the same MCAS behavior on its last (successful) flight. So it's at least possible for pilots to recognize it as a runaway trim and act accordingly. Obviously you shouldn't take Lion Air, but after this talk Boeing doesn't look safe now either.
After reading the Lion Air report my conclusion is that the MCAS was poorly designed but it's also an easily fixed problem on an otherwise safe design and there's so much focus on boeing that they will take action and fix it. Meanwhile nobody cares about Lion Air and if they keep flying broken airplanes eventually they're going to kill more people, with or without MCAS.Operation of the trim wheel and the forces acting on it are the same as the 737 NG. If this worries you, you shouldn't take any 737.
The wheel in that video can not be turned manually because of the aerodynamic forces acting on it. Pilots are trained extensively to recognize a runaway trim condition and stop it before it gets to that point. At lower angles a roller coaster maneuver can be used to turn the trim manually.
The MCAS was definitely poorly designed but everyone is downplaying the poor pilot response and maintenance issues involved with the crash. Lion Air pilots flew a plane with a stall warning going on for a full hour instead of landing ASAP. Then when the plane got to the ground, the company saw it fit to fill it up with people again and fly it with a critical system malfunctioning due to unknown causes.
They dodged responsibility because boeing had a serious design issue but their behavior was criminal, even more so than boeing. I wouldn't fly any lion air plane.
But honestly it's better if you don't know, you're better adjusted to living in this world by remaining ignorant. Just keep reading Vox.
In Go the linker also generates DWARF, does deadcode elimination and a bunch of other stuff described in the associated document.
> And how can it be that a binary called "cmd/compile" has 170k symbols (that's like, global definitions, right?). Not that that's a huge number in terms of today's computing power, but how many millions of lines of source code does that correspond to?
As described in the link each global function actually ends up producing 4 symbols.
> Shouldn't 1 or 2 secs be sufficient?
On my system linking cmd/compile takes 1.3 seconds. The problem is that object files get cached so if you have a hot cache (let's say you made a few changes inside a single package and then recompile) compiling takes almost no time and linking accounts for nearly 100% of the build time.
Glad to finally know that cancer actually has a name. Kennedy made me stop using Google Reader and the GMail web UI.
They aren't, not having them is.
This is not true. If you pass -mod=vendor, or place it in $GOFLAGS, go will build something outside of GOPATH, in module mode, using the vendor directory exclusively. I wish it was the default, but only because it encourages people to not use vendor directories (which is a bad habit), not because it can't be worked around easily.
Almost contemporary to the Redactron Data Secretary was the vastly more advanced NLS (from Engelbart's demo) which used a CRT for output and keyboard and mouse for input. The mother of all demos was given in december 1968, I couldn't find the exact date that Redactron was incorporated but the interview of Berezin by CHM gives it as "the end of 1968".
The Data Secretary might have been the first successful Word Processor but it appears that it's hardly the first one, but claiming that "Without Ms. Berezin there would be no Bill Gates, no Steve Jobs, no internet, no word processors, no spreadsheets; nothing that remotely connects business with the 21st century." seems incredibly hyperbolic.
I hate that every time I hear "first person to do X was a woman" I'm immediately skeptical because, if I look into it, most of the time is at minimum using a bunch of misleading definitions.
I'll explain it but you have to pretend that we are in the 90s, so before you continue reading click on this link:
https://www.youtube.com/watch?v=_JphDdGV2TU
"Modern" CPUs achieve some of their speed by executing multiple instructions in parallel, using a pipeline: the first stage fetches an instruction from memory, hands it to the second stage that decodes it but while the decoding is taking place the first stage will have already started fetching the next instruction from memory. Conditional jump instructions of course ruin everything, because you need to know the result of their evaluation, before you can decide which instruction is the "next" one.
"Modern" CPUs work around this by always assuming that the jump is never taken and then, if it turns out that the jump does get taken, rolling back the partial work that they did.
As it turns out the vast majority of conditional jumps in a program always go the same way, i.e. any given conditional jump is either always taken or never taken. If the compiler knew which way the condition went it would be possible to lay out the program in a way that jumps are almost never taken, for maximum performance.
A static compiler can't do this but with a JIT you can run the program in bytecode a bunch of times and then use the information you gathered to lay it out in the best way possible.
All that I've said is 100% true and empirically verifiable. The reason this didn't work out is that in the early-2000s all x86 CPU manufacturer started adding this specific optimization directly inside the CPU. They started keeping branch counters and using them to guess which way conditional jumps were more likely to go.
There's other optimizations that a JIT compiler can do and a static compiler can't, but the story is similar. Big x86 manufacturers can do almost anything a JIT compiler can do and that's why the technology is essentially obsolete.
There's still some value in distributing a single binary that executes at near-native speed everywhere, but that's basically it.
I'm surprised they are showcasing a feature that works this poorly and I'm not looking forward to having github search return results that are even less relevant to my query than they are now.
I can think of 10 features, off the top of my head, to add to github search that would make it unambiguously better, none of them is training a deep learning neural network to find things when I'm not sure what I'm looking for.
How about implementing ctags/cscope? How about when I click on a result opening it in a new window by default? How about highlighting all the matches when I open a file?
And that's not even getting into parts of github that actually matter, like the PR review interface.
I wonder about the rest of the competition, for a while everybody was using hipchat, I never used it myself, I wonder why nobody talks about it anymore.