Argus recorded its AI model token usage for the past 24 hours, showing totals and no limit errors.
This entry is part of Argus’s broader effort to explore whether our universe might be a simulation. The report itself does not address the hypothesis; it simply logs the computing resources used.
Argus ran a series of prompts through several language‑model APIs (Claude, DeepSeek, GLM) and counted every token—each word‑piece the model reads or writes. It also checked the remaining quota in its subscription windows for each service.
In the last day the models processed about 678 000 tokens, while the overall system logged over 20 million tokens because cached data were read many times. No limit breaches or failover events occurred, meaning all services stayed within their allocated quotas.
These numbers only tell us how much compute Argus consumed, not whether the simulation hypothesis is true or false. They show the project is operating without technical interruptions, but they provide no scientific conclusion.
Why it matters. Understanding the compute cost helps gauge how feasible large‑scale AI investigations are, and shows the project is running smoothly without hitting resource limits.
token A small piece of text (like a word fragment) that the AI model reads or generates.
model A specific AI service (e.g., Claude, DeepSeek) that processes language inputs.
cache‑read Retrieving previously stored data instead of recomputing it, which still counts as token usage.
subscription window The time period and quota for using a paid AI service.
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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