Comment by nottorp 1 day ago But world building and graphic assets are repetitive, time-consuming work. 6 comments nottorp Reply nasmorn 1 day ago The industry tries to use generative tools for assets since forever. Textures, terrain, foliage and eventually even parametric human models. I don’t see transformers much different. nottorp 1 day ago Oh I do. Because with a tree generation library the trees do look random (they are because the algorithm has a random component)."AI" assets all look the same. Clamchop 21 hours ago This observation seems innately vulnerable to sampling error and confirmation bias. "Good" generative AI almost by definition is difficult to notice. 2 replies → dheatov 1 day ago The stochastic nature, minimal amount of care required to get something going, and the inefficiency, just to name a few.
nasmorn 1 day ago The industry tries to use generative tools for assets since forever. Textures, terrain, foliage and eventually even parametric human models. I don’t see transformers much different. nottorp 1 day ago Oh I do. Because with a tree generation library the trees do look random (they are because the algorithm has a random component)."AI" assets all look the same. Clamchop 21 hours ago This observation seems innately vulnerable to sampling error and confirmation bias. "Good" generative AI almost by definition is difficult to notice. 2 replies → dheatov 1 day ago The stochastic nature, minimal amount of care required to get something going, and the inefficiency, just to name a few.
nottorp 1 day ago Oh I do. Because with a tree generation library the trees do look random (they are because the algorithm has a random component)."AI" assets all look the same. Clamchop 21 hours ago This observation seems innately vulnerable to sampling error and confirmation bias. "Good" generative AI almost by definition is difficult to notice. 2 replies →
Clamchop 21 hours ago This observation seems innately vulnerable to sampling error and confirmation bias. "Good" generative AI almost by definition is difficult to notice. 2 replies →
dheatov 1 day ago The stochastic nature, minimal amount of care required to get something going, and the inefficiency, just to name a few.
The industry tries to use generative tools for assets since forever. Textures, terrain, foliage and eventually even parametric human models. I don’t see transformers much different.
Oh I do. Because with a tree generation library the trees do look random (they are because the algorithm has a random component).
"AI" assets all look the same.
This observation seems innately vulnerable to sampling error and confirmation bias. "Good" generative AI almost by definition is difficult to notice.
2 replies →
The stochastic nature, minimal amount of care required to get something going, and the inefficiency, just to name a few.