Umm, yummy tbh, but that sounds a few steps beyond leathery. I don’t usually associate “brittle” and “sharp” with “leather”. “Chewy” totally. “Tough”, maybe.
Umm, yummy tbh, but that sounds a few steps beyond leathery. I don’t usually associate “brittle” and “sharp” with “leather”. “Chewy” totally. “Tough”, maybe.
I’ve noticed that recently when touching cool things (especially clothes) with latex gloves on; they feel damp, but I know that they’re not. My guess is that the heat draw of the cool object simulates the cooling effect of evaporating water, and the latex glove prevents the texture from giving away that it’s dry.
Like when people say that spiders aren’t bugs. Bug isn’t a scientific term, it’s just slang for creepy-crawlies. They usually mean that spiders aren’t insects.
You need to fuck the sys
I was taught that resume’s are experience-focused and cv’s are education-focused. Obviously there’s a lot of overlap but the latter is used more in academia, and by recent graduates with little work experience.
TIL. I always assumed it was because us whites were the color of saltines
Could make for a cool hunt for red Oktober sequel in a couple decades
Cobbles, or moguls if you work with it. Granted English is my native language so maybe I just don’t know better, but idk, I think it’s kinda fun. I can almost always come up with a way to say something with exactly the connotations that I’m going for. And all the overlapping meanings and pronunciations make fertile ground for puns
Great, now I don’t know what to believe
Or the boondocks
Just have a glass of water with it, k?
Sausage, eggs, bacon, toast, oj
High-mountain deserts are a thing. Desert just means dry
Seriously, the field of artificial intelligence has been around since the beginning of computer science, since Alan Turing founded it after coming up with the modern computer. Frankly, if you ask me, anyone complaining about LLMs being referred to as AI has been watching too many movies. AI != Human-but-metal and it never has. Going by the Wikipedia article, to be considered AI, a machine just has to perceive it’s environment and learn - degree notwithstanding.
Of course this definition is pretty vague, so in practice AI tends to refer to the cutting edge of flexible computer algorithms. Many now-mundane algorithms much simpler than today’s LLMs (like A* and genetic algorithms) were once considered AI for their flexible logic. At some point the Internet decided that it doesn’t count unless it’s literally Jarvis, but that’s a very stingy definition of a very broad field.
That’s a whole other can of worms