How a language model answers a prompt: 20-second motion graphic
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A 20-second motion graphic explaining how an LLM turns a prompt into an answer, compared between Opus 5.5 and GPT-6 Sol on cost and time.
Full prompt235 chars
Make a 20-second motion graphic that explains how an AI language model turns a prompt into an answer, and why a long answer costs more… The charts then break apart into pixel blocks, and those pixel blocks rebuild into the explanation.
Source: the creator's reply under the post. Kept in its original language, unedited.
Original post: https://x.com/TheHunterBohm/status/2102724864205566388
All works are open data at GitHub · awesome-opus-5.5-video.
Model attribution is as stated by the creator and was not independently reproduced. View counts are a snapshot from 2026-10-15. The work belongs to its creator; DM @GoSailGlobal on X for corrections or removal.
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