@rohanpaul_ai: "Not all tokens are created equal, and there is a way to look at token value. There are two key factors that impact tok…
Summary
Discusses token economics in AI, emphasizing that token value depends on intelligence and speed, and that optimizing tokenomics should start with customer use case.
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Cached at: 05/22/26, 07:53 PM
“Not all tokens are created equal, and there is a way to look at token value. There are two key factors that impact token value. One is the intelligence embedded in the token, and the other is how fast does it arrive.”
Tokenomics begins with the customer’s tolerance for uncertainty, latency, and cost, not with the model menu.
A slow token can be expensive even when compute is cheap, because delay changes the product experience before the invoice arrives.
A fast token can also be wasteful if it carries shallow reasoning, redundant context, or output nobody uses.
A medical triage assistant, a coding agent, and a shopping chatbot do not need the same kind token, even when they all speak fluent English.
Shruti Koparkar from our Accelerated Computing of Nvidia
Unitree Robotics’ G1 humanoid robot playing table tennis against a human during a public exhibition demo at the Global Unicorn Innovation Exhibition in Hangzhou, China.
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