Every solvable problem is solved by using known information, patterns, context, etc. We (and LLMs) are using some model of the universe and trying to coordinate it in a way that will help us solve some task. The difference between us and "old" LLMs is that we can generate new information/patterns/etc., immediately add it to our model, and use it to solve more complex problems. New LLMs such as o1-o3 are also capable of thinking over and over again and producing new information (in the current context) and trying to apply it to the current task that might not be solvable with just the information that it was trained on.
Russia is big country and it needs lots of men to defend it on all its borders, which means that the forces they can use for invasion are limited. RN it looks like that they run out of soldiers, and Ukraine already started counter attacks on some fronts, so I guess "they will win" will not happen any time soon.
The problem is that you’re grinding something you already know (in my experience always something too easy) just for hearts, and the heart system removes the ability to grind something you don’t know until you know it in a lesson. I want to make mistakes until I nail it when I’m learning.
Thank you Captain Obvious. It is still useless grinding that takes time and gives nothing to learning.
Oh, and you start being afraid to make mistakes, to not be forced to perform said grinding over and over again.
I have 800+ days in Duolingo. There were no hearts when i started, it appeared when i was in early 700s and I learned how to switch them off with classroom trick. If I had hearts from the start, I'd choose a different app. Hearts are that bad.
It's interesting to me that of all companies, Facebook has not added reactions to WhatsApp, but Signal has them. I would have thought the roles to be reversed.
compare price of labor between usa and india. Outsourcing everything to asia will be beneficial for company (and probably consumers since lower prices), but not for americans who work for cuban rn
It didn't disappear. I still constantly hear and see in the internet usage of негр, нига or нигер (transliteration of the n-word). But the meaning always depends on the context, most of the time it is neutral - just referring to a black person, sometimes negative - infamous S.L. Jackson phrase "что этот ниггер себе позволяет", and sometimes positive: "нига, как дела" - can be equivalents to "what's up, bro", it's rarely used as joke-greeting.
Local blacks don't seem to mind when someone call them this way, because it rarely has negative connotations.
4chan is one idea about how people can talk online with total strangers. The conversations my friends and I have at the pub are very different from 4chan, but also very different from Facebook. Recording everything you say so it can be played back years later in a job interview changes things, and I would say not for the better. But our conversations also don’t sound at all like 4chan threads, where it seems like “ironic” idiots talking to idiot idiots.
He probably meant "more spicier". Second image for "now one with stripped this time please" yielded image that is linked to article about deep-fake nudes.
J++ already exists. And so is -90 degree rotation (U++). The only variation that left is ∩++. But I think that 🅱️++ is better. It is modern looking and with hint that language took step backward from original in order to be more simplistic.
(This is my understanding, I’m not ml engineer)