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The torrent protocol wasn’t designed with anonymity in mind, not Tor.
The torrent protocol wasn’t designed with anonymity in mind, not Tor.
I got a MacBook Pro M2. It’s a good piece of hardware, MacOS was kinda annoying at first since it’s my first MacBook but I got the hang of it and it’s basically a normal desktop environment to me right now and I can’t see that changing significantly in the near future, I don’t think AI is gonna move that fast as to completely eliminate the need for typical PC desktop environments.
I’m not sure if that’ll happen any time soon, they’d lose out on the IT professionals, audio professionals etc.
I got one just this year and it certainly doesn’t feel like an iPad at all.
Not sure what you’re talking about, a whole lot of people use MacBooks, I don’t think their market share dropped significantly. Desktop Macs, sure maybe but I think even that won’t completely die out.
Oh that’s already a thing. Remember that AI girlfriend app Replika?
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You’re not the target audience, the target audience is edgy teenage boys. Postal 2 was the perfect game for 13 year old me.
You’re right labeling them as “legendary” is just weird tho.
Death to the concept of intellectual property and all but I’ve never actually felt Denuvo making problems for me when I played a game using it, you’re right it seems to be working as advertised.
I’m still hoping someone to crack it in a more reliable and fast manner, fuck large gamedev companies and their profit margins.
Most types force premature design/optimization.
I disagree. What you’re saying is true for Java-like OOP languages because OOP is actually complete garbage if you want to design good, easy to understand abstractions. Types are way more elegant in functional or functional-inspired languages.
Most unit tests lock up some specific implementation (increasing cost of inevitable refactors) rather than prevent actual bugs.
Agreed, unit tests are useless in most cases, they mostly test the bullshit abstractions you built for the unit tests themselves.
Go sacrifices too much for superficial simplicity; but I would like to see a language that’s nearly as easy to learn, but has a better type system and fewer footguns.
“Easy to learn” and “good type system” will by necessity be opposing forces IMO. If you want to work with a good type system you’re gonna have to put in the effort to learn it, I’m not sure there’s this magical formulation of a good type system that’s also intuitive for most new developers. Hope to be proven wrong one day tho but so far no dice.
Counterpoint: using anything other than ‘i’ as your index in a for loop in C or C++ is obnoxious as fuck.
At most I’ll go with ‘it’ for C++ iterators.
I’ve had pretty much the opposite experience. My friend has a macbook that he drops all the time and still works.
Also it’s not like other brands are immune to denting, it’s just kind of the nature of the material.
Kinda agree on the keyboard but I got used to it and also most brands have that type of keyboards nowadays anyway.
ThinkPads are far superior than MacBooks for longevity
Not sure that’s true. I have a pretty top-of-the-line ThinkPad (3 years old) and it started falling apart after like a year of regular use. Maybe years ago that was true but nowadays I feel like everybody except maybe Apple has crap build quality.
I’m here for it, it’s already a complete shitshow, might as well go all the way.
Oh that’s definitely going to lead to some hilarious situations but I don’t think we’re gonna see a complete breakdown of the whole IT sector. There’s no way companies/institutions that do really mission critical work (kernels, firmware, automotive/aerospace software, certain kinds of banking/finance software etc.) will let AI write that code any time soon. The rest of the stuff isn’t really that important and isn’t that big of a deal it if breaks for a few hours/days because the AI spazzed out.
Ah ok I guess I misread that. My point is that by itself it’s not gonna help you write either better or shittier code than you already do.
I don’t think it’s gonna go that way. In my experience the bigger the chunk of code you make it generate the more wrong it’s gonna be, not just because it’s a larger chunk of code, it’s gonna be exponentially more wrong.
It’s only good for generating small chunks of code at a time.
It actually doesn’t have to be. For example the way I use Github Copilot is I give it a code snippet to generate and if it’s wrong I just write a bit more code and the it usually gets it right after 2-3 iterations and it still saves me time.
The trick is you should be able to quickly determine if the code is what you want which means you need to have a bit of experience under your belt, so AI is pretty useless if not actively harmful for junior devs.
Overall it’s a good tool if you can get your company to shell out $20 a month for it, not sure if I’d pay it out of my own pocket tho.
These platforms are basically just one step removed from pure landlordism. Same goes for Uber and similar shit. The platforms themselves are usually cheap to maintain, the exception here might be Youtube since it does gobble up a whole lot of bandwidth and storage but come on nobody streams $10 worth of bandwidth a month.