The Problem With Measuring AI in Trillions of Tokens
The supplied DOCX looks, at first glance, like a market story about scale. It contains a dramatic token number, charts, vendor-style architecture slides, and several customer-outcome statements.
The interesting story was not the largest number.
It was the missing chain of evidence between a model call and a business result.
The first fingerprint: a chart with no source trail
The document reproduces a chart with an Information-style heading and a watermark. Its headline claim is that Meta employees used roughly 60.2 trillion tokens over 30 days.
The DOCX does not include the original Information URL. It does not include a methodology, a definition of “used,” a model/provider breakdown, or a way to determine whether the figure includes retries, cached tokens, internal reasoning, or tool calls.
That does not make the chart worthless. It changes what the chart is allowed to do.
It can be used as a prompt about the...
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