Hardware keeps getting exponentially faster and software keeps getting exponentially slower. The only people seeming to benefit from better hardware is lazy developers.
Hardware keeps getting exponentially faster and software keeps getting exponentially slower. The only people seeming to benefit from better hardware is lazy developers.
Yeah, I use that all the time. I think I use it in a different way though. I have projects with C, C++ and other languages. The C and C++ get compiled and linked together, and so there are some considerations for those files that don’t apply to anything else. So I mean C files and C++ files, but not as if they were the same language.
I guess that’s the joke, and I think we’re all confused because it’s wrong.
I did this in a project and someone later came and changed them all to .h, because that was “the convention” and because “any C is valid C++”. Obviously neither of those things is true and I am constantly befuddled by people’s use of the word convention to mean “something some people do”. It didn’t seem worth the argument though.
What is going on at Microsoft? Did anyone ask for this? How about they make search work again and not use 4 Gb just turn turn on the computer?
Automatic sorting is a nice addition.
Gmail (and maybe others) ignores periods in the address. Only use labels in combination with extra or removed periods, and filter any address without a label and the wrong periods. If they remove the label, it goes to the bin.
This is built into some email services, where you with [email protected], you can set the label to whatever you want and it all goes to [email protected]. unfortunately many sites will incorrectly claim that + is invalid in am address.
I found a single prompt that works for every level except 8. I can’t get anywhere with level 8 though.
The article headline is misleading. Nothing in the study indicates that fingerprints can’t be used to uniquely identity people. It claims to show that although each fingerprint on a single person is unique, they have similar features. Thus, one could assess whether a pair of fingerprints come from the same person.
I don’t understand this comment. Brisk is Lipton.
This is an article describing someone impersonating an officer and submitting a fake warrant. It’s incredible that Verizon fell for it, but what does it have to do with SMS?
Rather that individuals setting up or seeking out an instance, I could see institutes whose members produce content using it, but they’d have to really care about avoiding YouTube. Blender foundation is an example, and they have a peer tube instance, but maybe universities, nonprofits, or research institutions.
You like this episode of Futurama. Would you also like to watch this episode of Futurama?
All airplanes are jetliners.
How much did your friend pay for Debian?
If you are part of two organizations you can’t log into both at once, and switch between them. You need to log out and log back in. The way you test your mic and speakers is incredibly stupid and slow. It’s also a disorganized mess.
Could you elaborate on this? Is this new community restricting specifically mentions of Musk, or is there a broader difference? In particular, there are a lot of people claiming that Twitter is a tech company and that it belongs in tech news. Is that also the view of this new community or do you consider Twitter a social media company, with only tangential and generally not newsworthy actions related to technology?
It’s odd that you’re saying you shouldn’t consider the specific cases where C excels and then narrowing down things to the Web, where languages like php excel. So now you probably have some idea why your experience is so narrow. There’s a lot more to programming than the Web, and there’s always going to be.
“Interestingly, this effect cannot be explained by differences in participants’ experience with generative AI models, as that variable is insignificant in the mode”
When predictors are correlated, which is most likely the case here, this analysis cannot separately estimate their effects. The software will end up splitting the total effect size between the two predictors. Without describing collineariry between predictors, it’s not possible here to judge whether experience with AI is truly unimportant or the analysis is merely incapable of spotting the effect.
As for eroding confidence in reviews, this will make it worse, but I already put next to no stock in user reviews anymore. You don’t need AI to make a good human-like review that lies about a product, and there are plenty of those around.