CTeeRenderInfo m_VictimRenderInfo
a buffer of 4 items, and am now trying to make the client capable of rendering 4 victims at a time, if there are 4+ in a team.
I'm at the part where everything needs to be validated, but this won't compile. What am I doing wrong?i guess we will never know if the definition is virtual
class ISomething : IObject {
virtual int doSomething(int input) { return 0; }
};
class CSomething : ISomething {
int doSomething(int input) override {
// stuff happens here
}
};
(edited)doSomething() = 0
instead of doSomething() { return 0; }
) but it sounds like something happened to make this not the case in ddnet's development history, based on what chillerdragon said (edited)m_VictimRenderInfo
is probably an array or a pointer? e.g. if it's an array, you need to index it first, like m_VictimRenderInfo[1].m_CustomColoredSkin
c++
int main() {
return 0;
}
c++
int main() {
return 0;
}
(edited)auth_remove
to remove an authorization, it seems to also remove the sv_rcon_helper_password
without any clear explanation, but the sv_rcon_mod_password
remains functional.GPT-4 is the newest version of OpenAI’s flagship language model. It is:
significantly better at existing GPT-3 tasks (huge improvements across both standard NLP benchmarks1
& human exams like the SAT/GRE2
, and better instruction following and world knowledge)
capable of new tasks3
(enough math to do your taxes and beat Minerva!)
able to use 8x more context than ChatGPT (50 pages, 25k words of context means unlocks better AI-enabled coding4
by simply pasting docs, or better chat by pasting entire Wikipedia articles, or even comparing two articles)
safer to use (20-30% fewer hallucinations and unsafe content5
)
That alone would qualify it as a huge release, but GPT-4 is also OpenAI’s first multimodal model, being able to natively understand image input as well as text. This is orders of magnitude better than existing OCR and Image-to-Text (e.g. BLIP) solutions and has to be seen to be fully understood, but the capabilities that you must know include:
Converting a sketch of a website into code (screenshot, demo timestamp)
Fully describing a screenshot of a Discord app (demo timestamp)6
Summarizing images of a paper and answering questions about figures (screenshot)
Recognizing photos (fridge, kitchen), offering meal ideas (NYT article)
Explaining why an image is funny (ironing clothes, chicken nuggets, memes)