A fascinating lunch discussion with LLM engineer sparked an investigation into how AI models process information through vector spaces - revealing parallel but mechanistically different biases compared to human analysts
Built comprehensive framework mapping traditional financial biases against their LLM counterparts - showing how things like confirmation bias manifest differently (emotional investment vs statistical pattern reinforcement)
Result: Effective quant research requires understanding both human AND machine biases - can't just apply traditional risk controls to LLMs. Need tailored mitigations for how biases uniquely manifest in #AI.
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Understanding LLM Biases in Quantitative Research: From Lunch Conversation to Framework