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    Engineers Update Views on LLMs Versus Diffusion Models for Creative Work

    Recent procedural art, video editing, and 3D game demos prompt engineers to favor LLM coding models.

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    6 Sources, 44d ago, first seen 44d ago

    TLDR

    @trq212 noted that recent demos of procedural generation art, video editing, and 3D games shifted his assessment toward LLM coding models for creative tasks. He added that code offers easier editing, nudging, and export to existing tools. @omarsar0 observed that LLMs for code have unlocked general capabilities more powerfully than expected and predicted continued LLM improvement over diffusion models, which he expects to have their moment later.

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    149.8K

    6 Sources, first seen 44d ago

    Combined views

    149.8K

    6 Sources, first seen 44d ago

    889 likes
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    96 comments
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    26 reposts

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    96 comments
    126 saves
    26 reposts
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    6 Sources

    @trq212all of the recent proc gen art, video editing and 3d game demos recently have made me update towards LLM coding models being better at a lot of creative work than diffusion models
    @omarsar0It has been a bit surprising, to say the least, how powerful LLMs for code have turned out to be in unlocking general capabilities. Diffusion models are going to have their moment soon, but I expect LLMs to continue to improve and transcend.
    @tszzlRT @trq212: all of the recent proc gen art, video editing and 3d game demos recently have made me update towards LLM coding models being be…
    @emollickAnd variance! The AI labs need to be thinking more about variance when considering creative tasks. The fact that it takes work to get creative variation out of smart models severely limits their effective value in problem solving and creative work.

    6 Sources

    @trq212all of the recent proc gen art, video editing and 3d game demos recently have made me update towards LLM coding models being better at a lot of creative work than diffusion models
    @omarsar0It has been a bit surprising, to say the least, how powerful LLMs for code have turned out to be in unlocking general capabilities. Diffusion models are going to have their moment soon, but I expect LLMs to continue to improve and transcend.
    @tszzlRT @trq212: all of the recent proc gen art, video editing and 3d game demos recently have made me update towards LLM coding models being be…
    @emollickAnd variance! The AI labs need to be thinking more about variance when considering creative tasks. The fact that it takes work to get creative variation out of smart models severely limits their effective value in problem solving and creative work.