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Doom's renderer compiled into 21B-parameter transformer model

A developer has compiled the rendering algorithm from the classic video game Doom into a 21-billion parameter transformer model. Instead of traditional training, a custom compiler was used to convert the game's computation graph into transformer weights. The resulting model generates pixel drawing commands as token sequences, which can then be used to render frames of the game. AI

IMPACT Demonstrates an unconventional approach to model creation, potentially inspiring new methods for translating algorithms into AI architectures.

RANK_REASON The item describes a novel method of converting computational graphs into transformer weights for a specific application, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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Doom's renderer compiled into 21B-parameter transformer model

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  1. r/MachineLearning TIER_1 English(EN) · /u/notforrob ·

    I compiled Doom's renderer into a 21B-parameter transformer -- no training anywhere [P]

    <!-- SC_OFF --><div class="md"><p>This is the project my last two posts were building towards (this is the last of this silliness). I ported the Doom rendering algorithm to run inside a transformer. Instead of training a model, I used a compiler I wrote which converts computation…