Oh, I just re read it and altcha is even more complex to integrate if you did not use their ready made service. It is self hostable in the sense that it is just a library to perform said protection. At least if I understood the docs correctly
Sad that the anime hasn't continued. Probably will take a long time ~~or dropped altogether.~~
I can already imagine the log generated will be a hint. We usually automate those anyway as it is closer to (D)DoS too.
Oh really? I didn't know that once since I only referenced the article. The article had issues with the modular top side, not the port. So I guess we were talking differently from the beginning.
Uhh, does the model 13 have a modular panel? IIRC, they don't. Also, manufacturing modular panel and modular port are very different and the knowledge transfer cannot be that big. The port for example has a looser tolerance since they aren't really that visible most of the time. So being snug but not flush is good enough. I can imagine the panel doesn't have that luxury. Stability issue, that I can agree. But then again, I'll give them the benefit of the doubt since they must handle additional assumptions that cannot be made on other laptops. Namely, modular GPU. Writing a firmware with that new assumption could be a PITA.
There is a comic that I can't remember the title of right now. But the plot is basically the whole country of Japan gets Isekai'd, land and all
I wanna know if this applies to copyrighted content as well. For example, if by any chance a whole ass book was outputted by a LLM, does the output retain the original copyright?
Parametric?
Different mechanisms to move mass have different energy requirements. Shocking I know. Cars or land based transportation in general suffers from having a lot of mass since they tend to have higher rolling resistance. But once the mass is rolling, the propelling method can be turned off and that inertia is maintained. Remember, unless an external force is applied, an object that moves will maintain its velocity. It is also why trains are more efficient since they have very little rolling resistance.
Now, I am not very familiar with ships but I think it has something to do with the overall geometry of the ship itself that will define the energy needed to operate rather than mass. Just like airplanes, ships are moving in fluids so their geometry has a lot of effect on their engine efficiency rather than mass carried.
Lol that Jia Tan there cracked me up
bitfucker
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In the context of machine learning, usually a list of numbers that is arranged in a certain way, and is used for mathematical operation. You can think of it as a transfer/transform "function" that takes data as input, and spits out the representation of said data in some other way (that we usually don't know until the training is finished and we analyze the result)