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$USDC

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Snapshot Window: 2026-08-16 14:30 UTC ยท โ† Back to Crypto Overview

Tracked Posts
2
Total Impressions
1.4K
Total Likes
35
Retweets & Quotes
1
Comments
5

Social Momentum Summary

Total Engagement - Comments: 5, Retweets: 1, Likes: 35, Impressions: 1422

Verbatim Community Citations & Social Evidence 2 source posts analyzed

@RitOnchain

the university of tokyo just dropped a brutal audit tool for llm trading bots.. everyone is building ai agents that trade stocks and crypto.. they show you a nice upward equity curve.. but they hide the "intelligence tax".. every time the agent "thinks", "reads news", or

The image shows the first page of a research paper titled "Can Agentic Trading Systems Pay for Their Own Intelligence?" by Qiij Duan and collaborators from HKUST(GZ), Paradox AI, E Fund Management Co., Ltd, MBZUAI, and The University of Tokyo, dated July 2025. The abstract and Figure 1 illustrate how LLM-based trading agents incur costs from thinking, web queries, and information retrieval that can exceed their actual trading profits, highlighting an "Intelligence Tax" metric for evaluating profitability across different AI models and deployment architectures.

AI visual note: The image shows the first page of a research paper titled "Can Agentic Trading Systems Pay for Their Own Intelligence?" by Qiij Duan and collaborators from HKUST(GZ), Paradox AI, E Fund Management Co., Ltd, MBZUAI, and The University of Tokyo, dated July 2025. The abstract and Figure 1 illustrate how LLM-based trading agents incur costs from thinking, web queries, and information retrieval that can exceed their actual trading profits, highlighting an "Intelligence Tax" metric for evaluating profitability across different AI models and deployment architectures.

@Crypto__Coop

the concept of unlocking access is intriguing

Contributing Voices for $USDC

@nftmufettisi @Cryptic_Web3