alt Hacker NewsHow do you handle innate LLM biases? I forget which model, but when asked to edit pro Zionist vs pro Palestinian content it showed heavy bias in one direction.
LLMs let you cover more ground but the fundamental problem of “who to trust” still remains. I don’t see how one can ever be used to strip political spin. It’s baked in.
You can't strip it completely, totally agree. Any compression of information is already an interpretation. The problem becomes more prevalent, the more thinking and advanced models become. To mitigate it, I rely on some constraints:
1. No opinion space: the prompt forbids normative language and forces fact to consequence mapping only (“what changes, for whom, and how”), not evaluation.
2. Outputs are framed explicitly from the perspective of an average citizen of a given country. This narrows the context and avoids abstract geopolitical or ideological extrapolation.
3. Heuristic models over reasoning models: for this task, fast pattern-matching models produce more stable summaries than deliberative models that tend to over-interpret edge cases.
It’s not bias-free, but it’s more constrained and predictable than editorial framing.