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Can LLM Councils Truly Capture Diverse Worldviews?
Designing an LLM council to maximize diverse perspectives sounds straightforward, but the reality is far more complex. This episode dives deep into whether training corpus diversity translates into worldview diversity after alignment processes like RLHF. We examine models like DeepSeek, Mistral, Falcon, and Jamba, asking if their unique cultural and linguistic training survives the alignment process. The discussion raises critical questions about epistemic diversity, regulatory ecosystems, and practical council design, offering insights into how to build a panel that truly captures varied…
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