It still boggles my mind that C# is as good as it is given where it comes from. Java really fucked up with type erasure and never fully recovered imo.
It’s funny, I’ve had an Android, a Nokia Windows Phone, and an iPhone, and Windows Phone was the only OS in which I didn’t open every single app through search. The utter lack of an app ecosystem definitely played a part, but I honestly don’t think either of the other two handle home screens/“app drawers” very well. Every modern social media platform/messenger/etc. is built around vertical continuous scrolling because it’s easier. Why is horizontal, paginated scrolling the default for home screens?
I’m not extremely familiar with it, but I think X11 qualifies. I think it was determined that HDR support would be basically impossible to implement.
That seems like a better fit for an intrinsic, doesn’t it? If it truly is a register, then referencing it through a (presumably global) variable doesn’t semantically align with its location, and if it’s a special memory location, then it should obviously be referenced through a pointer.
I’ve never really thought about this before, but const volatile
value types don’t really make sense, do they? const volatile
pointers make sense, since const
pointers can point to non-const
values, but const
values are typically placed in read-only memory, in which case the volatile
is kind of meaningless, no?
IPv8 tattoo
Sure, as soon as you stop hating on e-bikes
E-bikes can replace cars in far more situations than regular bicycles can.
I have a Class 3 (28mph), it’s actually not too bad. That assumes the brakes are well-maintained, though, and as we know there are no inspections for e-bikes. I’ve seen some terrifyingly bad brakes on normal bicycles, so I can’t imagine what some people’s e-bikes look like.
It should be mandatory for Class 2 and Class 3 e-bikes to have hydraulic disc brakes imo. I have mechanical disc brakes, and I have to tighten them at least once a month. It seems unwise to trust that the average person would also do that. Rim brakes are right out; they have nowhere near enough braking power for the speed and weight of most e-bikes.
-Guy who has no interest in seeing cars largely replaced with bikes in cities
It’s relatively common for a car to merge into you where I live. If you’re adjacent to the front wheel it’s safer to accelerate the rest of the way than it is to brake.
Edit: it’s also insane that they’re trying to do this with e-bikes before cars.
Since you’re still free to accelerate by pedaling like a normal bike user, that significantly reduces the amount of situations where the pedal assist would actually save you.
Bro e-bikes are like 3-6x heavier than normal bikes, manual pedaling sucks and you can’t accelerate for shit
That defeats the brute-force attack protection…
The idea is that brute-force attackers will only check each password once, while real users will likely assume they mistyped and retype the same password.
The code isn’t complete, and has nothing to do with actually incorrect passwords.
I would guess that they settled because they would go bankrupt fighting it. You have no idea if you and their legal team are in agreement, as far as I can tell. Feel free to comment with proof to refute my guess, otherwise my guess is as good as yours.
“Garfield is a cat”: “Garfield belongs to the cat species”.
They had me until this one lmao
You are mistaken that the discrepancy is the result of algorithmic bias. The latter image depicts a custom, hard-coded result that appears when one of preselected set of queries are searched. It was added as part of an anti-domestic violence drive. The trouble is, adding a copy of the selected queries with substituted gendered language (e.g., substituting “husband” with “wife”, “man” with “woman”, etc.) would have taken all of 10 minutes. It’s not surprising that most are unsympathetic to this excuse.
It isn’t though? The post is advocating that everyone should receive help, while the comment is trying to justify the way it currently is.
I think people are hesitant to call ML “statistical modeling” because traditional statistical models approximate the underlying phenomena; e.g., a logarithmic regression would only be used to study logarithmic phenomena. ML models, by contrast, seldom resemble what they’re actually modeling.