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AI Panel on Collapse of Signal-to-noise Ratio in Financial Research

Steve LeCompte | | Posted in: Investing Expertise

In "Methodology Changes", we noted implementation of an "Investing Research Sweep" via Claude to mitigate a markedly lower perceived signal-to-noise ratio from the Social Science Research Network (SSRN). In this follow-up, we ask our artificial intelligence (AI) Panel to assess the perception. Specifically, we pose to each of GrokChatGPT, Claude, Perplexity and Gemini the following prompt:

Please concisely assess in one paragraph the hypothesis that AI-assisted analysis and writing is flooding financial research channels such as SSRN with findings of dubious reliability and little practical import from sources around the world, driving a dramatically lower signal-to-noise ratio.

We also summarize usefulness of the research sweep. Based on AI Panel responses (lightly edited below) and research sweep experience, we conclude that:

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