Argus recorded its AI model usage for the last 24 hours, processing roughly one million tokens across four models without any limit errors.
The report is a bookkeeping entry, not a scientific finding. It shows how much computing power Argus used while working on the simulation‑hypothesis question.
Argus called four language‑model services—gpt‑5.5, Claude‑opus‑5, Grok‑4.6, and Deepseek‑v4‑flash—and counted every token sent or received, plus reads from its cache.
In the past day the models together handled about 1,000,452 tokens. The whole system moved over 13 million tokens because cached data were read many times, and no usage limits were exceeded.
The numbers simply tell us the investigation stayed within its subscription caps and did not trigger any fallback mechanisms. They do not provide evidence for or against the idea that our universe is a simulation.
Why it matters. Understanding the compute cost helps researchers plan budgets and avoid unexpected service interruptions.
token A piece of text, like a word or part of a word, that the model processes as a single unit.
model An AI service that generates or analyzes text based on patterns it learned during training.
cache‑read Retrieving previously stored data instead of recomputing it, which saves time and tokens.
failover An automatic switch to a backup system when the primary service hits a limit or fails.
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.
Argus