There was a demo for a technology put out recently that circumvents this. I don’t remember the exact mechanisms, but it obscured DNS such that your ISP couldn’t see the DNS record you requested, and then used a proxy to route traffic before it hit the final endpoint eliminating exposing the IP to your ISP. It worked very similar to a VPN, but without the encrypted connection, and had some speed focused optimizations including the proxy being proximate to your ISP. It was pretty interesting.

This was almost definitely it lmao

Whoops, idk why I misread it as Japanese. Will fix thanks.

Not that they’re the same, but this feels like not letting people be strippers because some people may feel degraded by it. I could understand having legislation that provides protections for employees through employer obligations to ensure a safe environment, but ultimately it’s the choice of the individual if they’re okay with the work or not. I don’t have a dog in this fight, but this feels like Chinese conservatism forcing “modesty” on women.

I don’t necessarily agree. If a brand makes high quality stuff I’m not gonna avoid them just because they put their logo on their stuff. I have a kickass Adidas backpack from 2014 that is by far my favorite, and I’ll be damned if I’m gonna get rid of it just because it has an Adidas logo on it.

I also have perfectly good clothes with various brands on them, and I’m not just gonna throw them away because that’s wasteful as hell. I don’t go out of my way to buy stuff with brands on them, but that won’t stop me from buying something I genuinely like and find to be high quality.

Should be at least double in the US since it would be consultancy work which brings higher taxes (1099 vs W2) and no benefits. A $500 full day consultation is super cheap.

I often use that as a source of encouragement rather than defeat. My two favorite sports are snowboarding and muay thai which are filled with people who’ve been practicing before they formed memories. If a child is better than me then I’m almost certainly capable of becoming that good with continued practice. Even if it takes years it’s something to aspire to regardless of the relative age difference. I was one of those kids who was way better than a lot of people on a dirt bike. I was put on a dirt bike at the age of 4 and don’t even remember learning, so it’s not like it’s a fair comparison. Just run your own race and aspire to be like those around you.

I don’t think it’s diminishing the work of the Yuzu devs, but more so a strong belief in the capabilities of the open source community. They worked their asses off and are extremely talented, and I’m sure there are others who will hop in and carry the torch.

I’m also curious if there’s a programmatic way to circumvent the argument Nintendo made about bypassing DMCA by separating the emulator from the code that utilizes the keys such that you can use tool A to bypass DMCA, and tool B (Yuzu with game decryption removed) to run the circumvented game. In this case tool A already exists, and tool B could be a fork of Yuzu.

I can’t think of any neighborhood in SF where I’d choose one of these places over literally anywhere else. Too much good cheap food here.

I mean I live in the most expensive region of the US and live pretty comfortably, but go off paying to see ads and have content taken from you I guess.

Do yourself a favor and rent a floor sander for like $80 bucks a day and save your orbital sander for the edges next time. That or duct tape the orbital sander to a stick.

That was a pretty interesting read. However, I think it’s attributing correlation and causation a little too strongly. The overall vibe of the article was that developers who use Copilot are writing worse code across the board. I don’t necessarily think this is the case for a few reasons.

The first is that Copilot is just a tool and just like any tool it can easily be misused. It definitely makes programming accessible to people who it would not have been accessible to before. We have to keep in mind that it is allowing a lot of people who are very new to programming to make massive programs that they otherwise would not have been able to make. It’s also going to be relied on more heavily by those who are newer because it’s a more useful tool to them, but it will also allow them to learn more quickly.

The second is that they use a graph with an unlabeled y-axis to show an increase in reverts, and then never mention any indication of whether it is raw lines of code or percentage of lines of code. This is a problem because copilot allows people to write a fuck ton more code. Like it legitimately makes me write at least 40% more. Any increase in revisions are simply a function of writing more code. I actually feel like it leads to me reverting a lesser percentage of lines of code because it forces me to reread the code that the AI outputs multiple times to ensure its validity.

This ultimately comes down to the developer who’s using the AI. It shouldn’t be writing massive complex functions. It’s just an advanced, context-aware autocomplete that happens to save a ton of typing. Sure, you can let it run off and write massive parts of your code base, but that’s akin to hitting the next word suggestion on your phone keyboard a few dozen times and expecting something coherent.

I don’t see it much differently than when high level languages first became a thing. The introduction of Python allowed a lot of people who would never have written code in their life to immediately jump in and be productive. They both provide accessibility to more people than the tools before them, and I don’t think that’s a bad thing even if there are some negative side effects. Besides, in anything that really matters there should be thorough code reviews and strict standards. If janky AI generated code is getting into production that is a process issue, not a tooling issue.

I mean if you have access but are not using Copilot at work you’re just slowing yourself down. It works extremely well for boilerplate/repetitive declarations.

I’ve been working with third party APIs recently and have written some wrappers around them. Generally by the 3rd method it’s correctly autosuggesting the entire method given only a name, and I can point out mistakes in English or quickly fix them myself. It also makes working in languages I’m not familiar with way easier.

AI for assistance in programming is one of the most productive uses for it.

Not OP, but my main preference for MacOS comes from the UI/UX of an absolute rock solid OS on top of a unix-like shell. I regularly go months without rebooting my machine with 0 issues like software hanging on wake.

I know there are a lot of exclusive creative apps, but all I really use my MacBook for is code, typical browser stuff, music, slicer/web interface for my 3D printer, and to interact with my home server. I’m not an open-source/Linux purist by any means, but pretty much all the software I use is widely available on all platforms. It probably helps that I bought a MacBook after growing up with Windows/Linux, so I came into it with a set of software I was familiar with that already existed on other platforms.

Fair enough, but as someone who has worked closely with the Decky Loader maintainers and contributed my own stand alone plugin I get it. We basically all have day jobs as devs and it can be mentally taxing to do more PRs at home. Not to mention sometimes there’s just not enough time in the day, and I don’t even have kids.

Maintainers are ultimately volunteers doing work with hundreds of dollars an hour for free. I’ve had some PRs take 20+ days to be looked at, it’s just how it goes.

From what I’ve seen one dude is salty and everyone else (including myself) is happy to have your contributions! I don’t necessarily agree with you on everything you post, but you’re respectful and actually back up what you say. I respect that a hell of a lot more than someone who I’m in complete agreement with, but plugs their ears at the first sign of pushback.

Just because you’re not writing high performance software doesn’t mean it shouldn’t be a consideration. Sure, I’m not gonna micro-optimize memory when I’m writing an API in Python, but that doesn’t mean I’m not going to write it efficiently.

If I have to store and then do lookups on some structured data I’m gonna use a hash table to store it instead of an array. If I need to contact a DB multiple times I’m only gonna close my connection after the last query. None of this is particularly difficult, but knowing when to use certain DSA principles efficiently falls pretty firmly into the computer science realm.

If you need someone to hyper-optimize some computations then a mathematician might be a better bet, but even those problems are rarely mathematician level difficult. Generally software engineers have taken multivariate calculus/differential equations/linear algebra, so we’re decently well versed in math. Doesn’t mean we don’t hate the one time a year we have to pull out some gradients or matrices though.

The Flying Squid is someone who contributes to Lemmy comment sections a ton. They’re super friendly and also add a lot of discussion. Given the nature of Lemmy being so small though they stand out because they’re often leading discussions. Pretty much just a really good discussion contributor who is super recognizable.

100%. This isn’t a dig at all. I just noticed how often I’ve seen their comments and now I can’t not notice it.

Short term credit balances like appliances paid off over 3 months don’t affect your credit for very long. As soon as they are paid off and the balance falls off your credit report your score will rebound. It’s not worth stressing about.