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Why AI Models Can’t Read and Your Bill Is Rising
Why does the same prompt result in different costs and performance across frontier models like GPT-4o and Claude 3.5 Sonnet? This episode deconstructs the "tokenization tax," exploring the invisible bridge between human language and the vector-based math engines of modern AI. We dive into the engineering trade-offs of vocabulary size, the hidden memory costs of embedding matrices, and how inefficient tokenization creates a digital divide for non-Latin scripts. Episode 1084 — myweirdprompts.com/n/1084 (permanent short link: myweirdprompts.com/134321)
The skinny
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