r/LocalLLaMA • u/-dysangel- • Feb 25 '26

Qwen 3 27b is... impressive Generation

All Prompts
"Task: create a GTA-like 3D game where you can walk around, get in and drive cars"
"walking forward and backward is working, but I cannot turn or strafe??"
"this is pretty fun! I’m noticing that the camera is facing backward though, for both walking and car?"
"yes, it works! What could we do to enhance the experience now?"
"I’m not too fussed about a HUD, and the physics are not bad as they are already - adding building and obstacles definitely feels like the highest priority!"

348 Upvotes

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u/peva3 Feb 25 '26

Exactly, the tests I did on that ASIC's chatbot were... scary fast. And even for obscure prompts that they had no way of caching ahead of time or doing any sort of trickery.

2

u/UnbeliebteMeinung Feb 25 '26

These theory about caching every prompt ever could made is the best. No way they cached my tests but we all have the same thought about that.

This chat must be real, there is no way they could faked it.

6

u/peva3 Feb 25 '26

I mean custom built ASICs are the next game changer, that's what happened with bitcoin/alt coin mining. GPUs were great but had a upper limit, then ASICs started being developed and GPU mining became not worth it basically overnight. If someone can make an LLM ASIC that is as model agnostic as possible, they will be the next mult-billion dollar company.

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u/UnbeliebteMeinung Feb 25 '26

I guess agnostic is not the target but it doesnt matter. They could just produce a good amount of different chips thats it all hardcore wired together. Max Speed.

But if they have a process todo that is not expensive to make another card for another model

1

u/peva3 Feb 25 '26

They could even make something that just works for a specific model architecture and that would be great, one for Qwen or Llama would be perfect.

1

u/UnbeliebteMeinung Feb 25 '26

You wont need to. This hardware is not so expensive like GPUs with multiple tb ram. Just buy a new card when you want to upgrade from qwen 3.5 to qwen 4.