HOI4'S MOST ENRAGING MOD 

Our god is an awesome god.

I know the mod devloper and he indeed took inspiration from the GTA 5 chaos mod for the hoi4 chaos mod, as he's a fan of DarkViperAU who did and still do a ton of episode with the chaos mod.

@@legaullonapoleonien8760 Yep I watch Matt aswell

​@@hakonhugiandersen1740I watch Nick too!

​@@legaullonapoleonien8760 he shaved his face 😭😭😭

What gave that away

​@@_HollowBeing_ I don't know,maybe the whole formable nations series 💀

Every day is suffering

that do be what buddha said

?

lies. no one lives there

biloxi bros

From Wikipedia, the free online encyclopedia Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". This attention mechanism allows the model to selectively focus on segments of input text it predicts to be most relevant. GPT-3 has 175 billion parameters, each with a 16-bit precision, thus requiring 350GB of storage space as each parameter takes 2 bytes of space. It has a context window size of 2048 tokens, and has demonstrated strong "zero-shot" and "few-shot" learning abilities on many tasks. On September 22, 2020, Microsoft announced that it had licensed GPT-3 exclusively. Others can still receive output from its public API, but only Microsoft has access to the underlying model. According to The Economist, improved algorithms, more powerful computers, and a recent increase in the amount of digitized material have fueled a revolution in machine learning. New techniques in the 2010s resulted in "rapid improvements in tasks”, including manipulating language. Software models are trained to learn by using thousands or millions of examples in a "structure ... loosely based on the neural architecture of the brain". One architecture used in natural language processing (NLP) is a neural network based on a deep learning model that was introduced in 2017-the transformer architecture. There are a number of NLP systems capable of processing, mining, organizing, connecting and contrasting textual input, as well as correctly answering questions. On June 11, 2018, OpenAI researchers and engineers published a paper introducing the first generative pre-trained transformer (GPT)-a type of generative large language model that is pre-trained with an enormous and diverse text corpus in datasets, followed by discriminative fine-tuning to focus on a specific task. GPT models are transformer-based deep-learning neural network architectures. Previously, the best-performing neural NLP models commonly employed supervised learning from large amounts of manually-labeled data, which made it prohibitively expensive and time-consuming to train extremely large language models. The first GPT model was known as "GPT-1," and it was followed by "GPT-2" in February 2019. Created as a direct scale-up of its predecessor, GPT-2 had both its parameter count and dataset size increased by a factor of 10. It had 1.5 billion parameters, and was trained on a dataset of 8 million web pages. In February 2020, Microsoft introduced its Turing Natural Language Generation (T-NLG), which they claimed was "largest language model ever published at 17 billion parameters." It performed better than any other language model at a variety of tasks, including summarizing texts and answering questions. On May 28, 2020, an arXiv preprint by a group of 31 engineers and researchers at OpenAI described the achievement and development of GPT-3, a third-generation "state-of-the-art language model". The team increased the capacity of GPT-3 by over two orders of magnitude from that of its predecessor, GPT-2,[13] making GPT-3 the largest non-sparse language model to date. Because GPT-3 is structurally similar to its predecessors, its greater accuracy is attributed to its increased capacity and greater number of parameters. GPT-3's capacity is ten times larger than that of Microsoft's Turing NLG, the next largest NLP model known at the time. Lambdalabs estimated a hypothetical cost of around $4.6 million US dollars and 355 years to train GPT-3 on a single GPU in 2020, with lower actual training time by using more GPUs in parallel. Sixty percent of the weighted pre-training dataset for GPT-3 comes from a filtered version of Common Crawl consisting of 410 billion byte-pair-encoded tokens. 9  Other sources are 19 billion tokens from WebText2 representing 22% of the weighted total, 12 billion tokens from Books1 representing 8%, 55 billion tokens from Books2 representing 8%, and 3 billion tokens from Wikipedia representing 3%.  9  GPT-3 was trained on hundreds of billions of words and is also capable of coding in CSS, JSX, and Python, among others. Since GPT-3's training data was all-encompassing, it does not require further training for distinct language tasks. The training data contains occasional toxic language and GPT-3 occasionally generates toxic language as a result of mimicking its training data. A study from the University of Washington found that GPT-3 produced toxic language at a toxicity level comparable to the similar natural language processing models of GPT-2 and CTRL. OpenAI has implemented several strategies to limit the amount of toxic language generated by GPT-3. As a result, GPT-3 produced less toxic language compared to its predecessor model, GPT-1, although it produced both more generations and a higher toxicity of toxic language compared to CTRL Wiki, a language model trained entirely on Wikipedia data. On June 11, 2020, OpenAI announced that users could request access to its user-friendly GPT-3 API-a "machine learning toolset"-to help OpenAI "explore the strengths and limits" of this new technology. The invitation described how this API had a general-purpose "text in, text out" interface that can complete almost "any English language task", instead of the usual single use-case. According to one user, who had access to a private early release of the OpenAI GPT-3 API, GPT-3 was "eerily good" at writing "amazingly coherent text" with only a few simple prompts. In an initial experiment 80 US subjects were asked to judge if short ~200 word articles were written by humans or GPT-3. The participants judged correctly 52% of the time, doing only slightly better than random guessing. On November 18, 2021, OpenAI announced that enough safeguards had been implemented that access to its API would be unrestricted. OpenAI provided developers with a content moderation tool that helps them abide by OpenAI's content policy. On January 27, 2022, OpenAI announced that its newest GPT-3 language models (collectively referred to as InstructGPT) were now the default language model used on their API. According to OpenAI, InstructGPT produced content that was better aligned to user intentions by following instructions better, generating fewer made-up facts, and producing somewhat less toxic content. Because GPT-3 can "generate news articles which human evaluators have difficulty distinguishing from articles written by humans," GPT-3 has the "potential to advance both the beneficial and harmful applications of language models."  In their May 28, 2020 paper, the researchers described in detail the potential "harmful effects of GPT-3" which include "misinformation, spam, phishing, abuse of legal and governmental processes, fraudulent academic essay writing and social engineering pretexting". The authors draw attention to these dangers to call for research on risk mitigation. GPT-3 is capable of performing zero-shot and few-shot learning (including one-shot). In June 2022, Almira Osmanovic Thunström wrote that GPT-3 was the primary author on an article on itself, that they had submitted it for publication, and that it had been pre-published while waiting for completion of its review.

His sunglasses weren’t able to seal the eyebrows

Biloxi is a ploy by the US government to piss me off, it ain’t real

@@_HollowBeing_ what a bunch of biloxi, am i right hollowbiloxi?

biloxtraphe

ibiloxispiders

Wear tight pnts for me girl

We all watched it innit ?

It’s truly an experience

@@NXT_GEN_LETSPLAY probably

I… have been forgiven…

@@_HollowBeing_ we have to cover up Uganda somehow ¯\_(ツ)_/¯

we do NOT bring up the uganda incident

Fellow DviperAU viewer

​@@ozark7834THIS IS MILLIONS TO ONE!

Awful but thank you

Who knew that so many Matto enjoyers also enjoyed Hollow

​@@ozark7834 who is darkviperau

Yes… spread the pain that is this mod

what does mickey mouse schedule mean?

@@Podzhagitel It basically means an easy schedule made on purpose, usually to make some normally very hard achievements, easy. Such as Ole Miss in this case getting an easy schedule to get to 13-0, a first in school history. With a harder schedule, they might have not achieved that.

Banned.

…A good time… in hoi4??

It literally isn’t real

Bro is him

Hey there, comrade

You poor thing 😢

That sounds a lot like paradox video game Victoria 3 (2021)

@@_HollowBeing_ i was talkning aboult tno, bruh

@@darthvader3653 Have you lost your mind?

@@InfiniteDeckhand thats a funny accusation coming from a mf with a anime pfp who watches vtubers

kinda hard to rise up when biloxi isn't real!

This IS the English version. Can you not read?

​@@InfiniteDeckhandIs there an English version of the mod?

I don’t think so

yeah it the normal mod @@theman-wq5on

OTAN= "organisation du traité de l'atlantique nord" its french