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Then I guess my laptop is just a fancy boat.
Then I guess my laptop is just a fancy boat.
Nah, only actual string data is stored as text. Everything else is stored as binary: https://www.sqlite.org/fileformat.html#record_format
The file also isn’t written sequentially, it’s stored in blocks (pages), where sometimes later data can be inserted in the middle (e.g. when data was deleted).
How do you feel when someone turns everything not Shrek into Shrek?
The idea that this is in any way comparable to my previous example shows the amount of empathy people with your positions have for other groups: none at all.
Yeah, no. Allowing this kind of fuckwittery excludes other people from the platform. How do you think the average minority player feels when people create mods specifically to turn non-white characters white? If you want these things available, go ahead and create your own platform - but don’t force others to swallow your racist, sexist bullshit.
Or, to make it short: too bad you feel discriminated against while trying to discriminate against others.
I’d assume that this is a direct consequence of the impact mutations can have during short spans of generations. The closer you are to a local optimum, the more mutations you need to get into different (albeit better) optima.
Essentially, the step size of the optimisation process is usually too small to make this jump, you need a lot of luck to make it work (since any transitional generations have to stay alive long enough to reproduce and outcompete/find a new niche) - which automatically gives the rest of the ecosystem time to “catch up”, changing the landscape of the fitness function and thus providing new pathways to better optima.
That poor thing barely managed to crawl towards the food bowl with the last of its strength. Even if it stayed on our side of deaths door, that privilege may well have paid dearly using some of its nine lives. And you dare mock it?!
Nah, in hunting mode they suddenly get huge. I assume it’s to improve tracking in low light conditions.
That pawprint is amazing
That’s not fair. You didn’t mention at least 5 different women with bare feet!
Maybe the commenter wrote a contextually plausible yet wrong comment?
And what would be the advantage? It wouldn’t be routable through legacy systems, and you’d run out of addresses in a couple of years again.
Funnily enough, the fact that anything you “know” can be easily washed away with new information is an exception.
Just as a warning, the macvlan stuff isn’t well documented and seems to have hard limits. I worked with it a couple of years ago and had to eventually read a lot of Docker code to figure some stuff out, and the host was only able to successfully set up 4 macvlan networks at a time - the fifth (and any following ones) were never reachable, even though I used the same scripts as for all other ones.
Things might have improved in the meantime.
Petrichor is after the rain, also an amazing smell! But sometimes there’s also a distinct note before summer rain starts. Similar to petrichor, but different.
Still can’t believe that some people are unable to smell rain coming in the summer!
Transparent can still be more visible than good camouflage. Just look at how well they can imitate rocks and similar debris: https://youtu.be/q8xJ13pAZNw
Those were their first tests, of course there is a high chance they won’t run on all system configurations (especially since things like WINE comparability were likely detailed later). You should try artifacts built with the current version of the format (3 IIRC) if you want to give it a fair shot.
I’d be surprised if any humans have that.
I just tried the current redbean build on Linux AMD64, and everything worked as expected (both launching directly, and through sh
). Which examples did you specifically try? Which sh
version do you use (I have 5.2.26(1)-release (x86_64-redhat-linux-gnu)
)?
The cosmopolitan
README has a section on the WINE thing, if you want to try and get it running.
Why do you think so, and how do you think the plants are compared without AI?
Image classification/object detection AI (usually) gives you a confidence value for every result. It’s a natural consequence of their architecture.