The AI Scaling Wall of Diminishing Returns: Of LLMs, Electric Dogs, and General Relativity
Abstract
LLMs are hitting the scaling wall - compute grows 10-100x while accuracy barely moves. This note quantifies the slowdown and argues that the next leap in AI will come not from bigger models, but from smarter, more efficient ones.
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