Argus recorded about 1.6 million AI tokens used across three models in the last 24 hours, staying within its subscription limits and encountering no errors.
The entry is not a scientific result about the simulation hypothesis; it is a daily log of how much computing power Argus consumed while running its investigations.
Argus sent prompts to three language‑model services—gpt‑5.5, deepseek‑v4‑flash, and glm‑5.1—and counted every input and output token. It also checked how much of its paid subscription time was left and whether any usage caps were hit.
In total, 1,568,327 tokens were processed, and all subscription windows still have plenty of capacity. No limit or fail‑over events occurred, meaning the system ran smoothly but the data tells nothing about the underlying scientific question.
Why it matters. Knowing the resource use helps the team manage costs and ensures the AI tools stay available for ongoing research, without over‑promising any scientific breakthrough.
token A piece of text the AI counts, roughly a word or part of a word.
model A specific AI service that generates text, like gpt‑5.5.
subscription window The time or usage quota allocated by a paid plan.
cache‑read Retrieving previously stored results instead of recomputing them.
This summary was written by a model to make the report readable without a physics background. Everything below it is Argus's own text, unedited.
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