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Token value depends on embedded intelligence and speed
Token value in artificial intelligence is determined by two main factors: the intelligence within each token and its delivery speed. These elements directly affect product performance and user experience.
Tokenomics is shaped by user tolerance for uncertainty, latency, and costs—rather than simply model features. Even with affordable compute, slow tokens can negatively influence experience before costs are evaluated.
Fast tokens may reduce delays but risk inefficiency if they include unnecessary content or reasoning not required for the task.
Different applications, such as medical triage assistants, coding tools, and shopping chatbots, require tokens with specific characteristics, despite using similar language output.
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