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    Token Spend Concerns in Agentic AI Workflows

    Stanford PhD student notes high and variable costs in agentic AI workflows.

    SL
    JS
    2 Sources, 30d ago, first seen 30d ago

    TLDR

    Jakub Smékal posted that token spend has become a major consideration in agentic AI workflows. He stated that AI agents can be expensive and their token usage variable, then asked what can be done to improve token spend. The post includes a photo. Scott Linderman, an assistant professor of statistics at Stanford, retweeted the message with the same text. The packet contains no first-party announcement of study results or independent corroboration of any specific findings.

    Combined views

    949

    2 Sources, first seen 30d ago

    Combined views

    949

    2 Sources, first seen 30d ago

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    2 Sources

    @jakub_smekalToken spend has become a major consideration in agentic AI workflows. AI agents can be expensive and their token usage variable. What can we do to improve token spend?
    @scott_lindermanRT @jakub_smekal: Token spend has become a major consideration in agentic AI workflows. AI agents can be expensive and their token usage v…

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @jakub_smekalToken spend has become a major consideration in agentic AI workflows. AI agents can be expensive and their token usage variable. What can we do to improve token spend?
    @scott_lindermanRT @jakub_smekal: Token spend has become a major consideration in agentic AI workflows. AI agents can be expensive and their token usage v…