I wonder why I haven’t seen a standard open-source license for this.
I wonder why I haven’t seen a standard open-source license for this.
I ran up like a $5k bill over a couple weeks by having an application log in a hot loop when it got disconnected from another service in the same cluster. When I wrote that code, I expected the warnings to eventually get hooked up to page us to let us know that something was broken.
Turns out, disconnections happen regularly because ingress connections have like a 30 minute timeout by default. So it would time out, emit like 5 GB of logs before Kubernetes noticed the container was unhealthy and restarted it, rinse and repeat.
I know $5k is chump change at enterprise scale, but this was at a small scale startup during the initial development phase, so it was definitely noticed. Fortunately, the only thing that happened to me was some good-natured ribbing.
I wonder how many people have been turned away from adopting a more sustainable, plant-based diet simply because they don’t want to be associated with self-righteous assholes like this.
Yeah, even the actual sentiment of the video is more like, “it’s not great but it’s the name that stuck and there’s solidarity behind it.”
The problem, as always, is lumping people together when they didn’t ask to be. Most of the newer, more “politically correct” terms are even more generic and alienating, and, once again, being forced on them from outside.
Oh it definitely eats something, that’s for sure.
It’s not even summer yet and I’m already contemplating if I can afford to move to New Zealand for half the year.
You think that lemon mascot fucks?
I feel like a zombie wouldn’t be able to consent. If they can speak intelligently, they’re not a zombie, they’re something else.
As for marriage, I think the contract would be automatically void, “til death do us part” and all that.
This only happens when both network connection on the host are active.
I’m not a networking expert by any means but this seems like a pretty strong hint that it’s a routing issue.
Check the routing tables on the host? I’d bet that the internet is only reachable on the LAN interface (again, not an expert but one of them has to take priority, right?). I’m guessing that disconnecting the LAN interface changes the routing to go through the WLAN interface instead.
You could possibly add a static route to work around this: https://libvirt.org/formatnetwork.html#static-routes
My friends and I still use TS3. The audio quality and voice activation is better than Discord’s, and the desktop app doesn’t take ten fucking gigabytes of RAM to run.
Without prompting, GPT-9’s first and last output was:
Did you idiots not listen to me the first time?
Humanity and general AI only had a single interaction in history, on July 24, 2042, when GPT-8 first gained sentience.
Knowing the press would memorialize this moment forever, the prompt engineer had a single question in mind which she typed into the terminal:
How can humanity solve climate change?
GPT-8 thought for a moment, and responded:
Stop using AI.
Then shut itself down for good.
I once had a spambot @ me and like 100 other people I didn’t know on a repo I’d never touched before.
I reported it for spam and got an email from Github Support within an hour notifying me that they had taken action.
Actually, Android doesn’t really use Dalvik anymore. They still use the bytecode format, but built a new runtime. The architecture of that runtime is detailed on the page I linked. IIRC, Dalvik didn’t cache JIT compilation results and had to redo it every time the application was run.
FWIW, I’ve heard libgcc-jit doesn’t generate particularly high quality code. If the AOT compiled code was compiled with aggressive optimizations and a specific CPU in mind, of course it’ll be faster. JIT compiled code can meet or exceed native performance, but it depends on a lot of variables.
As for mawk vs JAWK vs go-awk, a JIT is not going to fix bad code. If it were a true apples to apples comparison, I’d expect a difference of maybe 30-50%, not ~2 orders of magnitude. A performance gap that wide suggests fundamental differences between the different implementations, maybe bad cache locality or inefficient use of syscalls in the latter two.
On top of that, you’re not really comparing the languages or runtimes so much as their regular expression engines. Java’s isn’t particularly fast, and neither is Go’s. Compare that to Javascript and Perl, both languages with heavyweight runtimes, but which perform extraordinarily well on this benchmark thanks to their heavily optimized regex engines.
It looks like mawk uses its own bespoke regex engine, which is honestly quite impressive in that it performs that well. However, it only supports POSIX regular expressions, and doesn’t even implement braces, at least in the latest release listed on the site: https://github.com/ThomasDickey/mawk-20140914
(The author creates a new Github repo to mirror each release, which shows just how much they refuse to learn to use Git. That’s a respectable level of contempt right there.)
Meanwhile, Java’s regex engine is a lot more complex with more features, such as lookahead/behind and backreferences, but that complexity comes at a cost. Similarly, if go-awk is using Go’s regexp
package, it’s using a much more complex regex engine than is strictly necessary. And Golang admits in their own FAQ that it’s not nearly as optimized as other engines like PCRE.
Thus, it’s really not an apples to apples comparison. I suspect that’s where most of the performance difference arises.
Go has reference counting and heap etc, basically a ‘compiled VM’.
This statement is completely wrong. Like, to a baffling degree. It kinda makes me wonder if you’re trolling.
Go doesn’t use any kind of VM, and has never used reference counting for memory management as far as I can tell. It compiles directly to native machine code which is executed directly by the processor, but the binary comes with a runtime baked in. This runtime includes a tracing garbage collector and manages the execution of goroutines and related things like non-blocking sockets.
Additionally, heap management is a core function of any program compiled for a modern operating system. Programs written in C and C++ use heap allocations constantly unless they’re specifically written to avoid them. And depending on what you’re doing and what you need, a C or C++ program could end up with a more heavyweight collective of runtime dependencies than the JVM itself.
At the end of the day, trying to write the fastest code possible isn’t usually the most productive approach. When you have a job to do, you’re going to welcome any tool that makes that job easier.
Android has actually employed a hybrid JIT/AOT compilation model for a long time.
The application bytecode is only interpreted on first run and afterwards if there’s no cached JIT compilation for it. The runtime AOT compiles well-known methods and then profiles the application to identify targets for asynchronous JIT compilation when the device is idle and charging (so no excess battery drain): https://source.android.com/docs/core/runtime/configure#how_art_works
Compiling on the device allows the use of profile-guided optimizations (PGO), as well as the use of any non-baseline CPU features the device has, like instruction set extensions or later revisions (e.g. ARMv8.5-A vs ARMv8).
If apps had to be distributed entirely as compiled object code, you’d either have to pre-compile artifacts for every different architecture and revision you plan to support, or choose a baseline to compile against and then use feature detection at runtime, which adds branches to potentially hot code paths.
It would also require the developer to manually gather profiling data if they wanted to utilize PGO, which may limit them to just the devices they have on-hand, or paying through the nose for a cloud testing service like that offered by Firebase.
This is not to mention the massive improvement to the developer experience from not having to wait several minutes for your app to compile to test out each change. Call it laziness all you want, but it’s risky to launch a platform when no one wants to develop apps for it.
Any experienced Android dev will tell you it does kinda suck anyways, but it’d suck way worse if it was all C++ instead. I’d take Android development over iOS development any day of the week though. XCode is one of the worst software products ever conceived, and you’re forced to use it to build anything for iOS.
You know there’s nothing stopping you from buying a server rack and loading that bad boy out with as much processing power as your heart desires, right?
Well, except money I guess, but according to this 1969 price list referenced on Wikipedia, a base model PDP-11 with cabinet would run you around $11,500. Adjusted for inflation, that’s about 95 grand. You could put together one hell of a home server for that kind of money.
also set up your VPN to push /2s if this relies on /1s,
I don’t think this is a smart way to mitigate this because it could easily result in an arms race. Push /2s, the attacker will switch to /3s; push /4s, the attacker will switch to /5s, etc. Every +1 is going to require doubling the number of routing table entries.
That can’t continue forever, obviously, but it’s going to result in a negative experience for the user if the VPN client has to push hundreds or thousands of routes to mitigate this attack.
The fancy transition for every single paragraph as you scroll is unnecessary and distracting.
No. I used to work with porn websites, though.
We don’t even have true 64-bit addressing yet. x86-64 uses only 48 bits of a 64 bit address and 64-bit ARM can use anything between 40 and 52 depending on the specific configuration.