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Rainbow shader #UnrealEngine #UE5 #shader

How are the best models going to be better if they hallucinate more?, more data never means better model, AIs are still treated as black boxes and the detail of how to understand them is ignored, it's like throwing more lines of code and not having a single form of debugging 💀

#GW2025 #GW #ゲーム好きと繋がりたい #土日はフォロワーさんが増えるらしい #土日はフォロワーが増えるらしい #ゲーム制作 #ゲーム開発 #UE5 #indiegame 制作中のゲームの進捗をちょろっと投稿 動画後半の止めのシーンに試験段階のちょっとした演出を追加です

Crown one comic book genre king! And erase one forever… Choose wisely

Historians will say what a waste of resources to spend them to try to insult a visual style, in prehistoric times they did not know how to appreciate art, end.

I think they are going to create a much bigger church to pray to huge matrices as if maths is the new religion, problem solving is for when the messiah of AI comes, which requires two planets for 5 minutes online chatbot.

Your next doctor will have used more AI than books... Enjoy while you can!

This project files… want them? It’s a Unified Niagara system! Check comments! I won’t be able to make a tutorial for a bit… VFX Niagara ue5 gamedev You can pass in spawn locations, select from two textures in one material, and change colors!

That's why it's not a smart idea to allow AI content in a marketplace, it's not democratizing, it's filling a marketplace with garbage...

AI is more expensive, it produces results that in most cases are useless, it can get you into copyright trouble, and it will take you a long time to come up with the right prompt to generate something decent that you will still have to modify and soulless High costs for n☠️thing

The reason it looks good is because they appear to have removed all jitter from the rigid body simulation. Jitter or "high frequency alternating impulses" are the number one artifact in animation in general, and physics in particular. Mechanically, all good animation is about

AI models often improve in one area at the expense of another — it’s a weight-sharing problem at the core. Techniques like LoRA (task-specific weight tweaks) and Adapters (frozen base weights) help, but let’s be real: AI can’t do everything, and never will.