u/Equivalent_Job_2257

If a post or comment is written in formal language, but with exaggerated adjuctives, if it makes "not X but Y", "honestly", "curious" (there are more tropes it uses, google it) comparisons all around and especially in the end, if it uses em-dashes - it is either a bot or someone who copypasted it right from AI chat without putting any real effort.

This makes people who read this subreddit lose time, when they read throw all this and in the end wander was if there was at least single idea in several paragraphs of polished text.

Worse, it makes people lose much more time if they dob't recognize this and try to follow. Could be worse? Yes, they lose hope that any valuable advice could be found at all. If we don't give time for what we value, this group too, it will be overrun, taken over and turned into another area of dead internet, mostly because those who wrote something human and valuable will just leave.

I read a lot of "whengguf" type posts. I think we should sometimes stop and be grateful.

I want to say big thanks to all of the people and companies who gave us so much fun and productivity, sacrificing a lot sometimes; but also to companies who gave us models as by-product of their strategy, too.

I can miss a lot (I want to update this list if you point me at what I miss), but If I would build hall of fame, then I will put these people, companies and models (I forgot so much) there:

Hall of Fame

"Attention is all you need" paper authors (written while in Google)

Countless researchers who pushed this field forward long before 2023 and after

GPT2 authors

Facebook for pytorch library

NVidia for creating top-performance GPUs to make a lot of ML and LLM stuff usable at all

Meta for all LLamas up to LLama 3.3

Mistral for Mixtral 8x7B, Mistral Large, and Mistral Medium 3.5

OpenAI for Whisper models, GPT-OSS-20B/120B and distill foundation of Chinese open-weight models

Google for Gemma models, which focus on different things than mainstream (e.g. medical images and a lot more)

DeepSeek for DeepSeek-V2/V3/R1 and V4

Alibaba for Qwen models, especially Qwen2.5-32B Coder, QwQ, Qwen3.x

Georgi Gerganov and the whole llama.cpp team, together with ikrakow and rest who departed

vLLM team

TheBloke, bartowski, unsloth, mradermacher and countless people who made and make quants

HuggingFace for hosting all this petabytes of models happiness and transformers library

RAG concept authors

LocalLLaMA community!

Honorauble mentions:

MoonshotAI for Kimi 2.x models

Z-AI for GLM models

MLX community for Mac LLM performance

Minimax for Minimax models (for good coding alternative)

LMStudio (for those who can't llama server)

Turboderp and exllama3 (for TP and SillyTavern)

Open WebUI (for trying to make OSS LLM administration).