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Many of the ways in which the slow pace of discussion can be overcome (e.g. using LLMs to conduct partially "in silico" deliberation) illustrate another important limitation of conversation: other methods are often more easily made transparent and thus broadly legitimate. The way conversations take inputs and produce outputs are hard to fully describe, whether they occur across people or in machines. In fact, one could consider inputting natural language to a machine and producing a machine dictation as just a more sophisticated, non-linear form of voting. But, in contrast to the administrative and voting rules we will discuss in the next two chapters, it might be very hard to achieve common understanding and legitimacy on how this transformation takes place and thus make it the basis for common action in the way that voting and markets often are. Thus, checks on the way deliberations occur and are observed arising from those other systems are likely to be important for a long time to come.
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Furthermore, deliberation in the democratic process is also limited by the ability for humans to practically audit more capable GFMs. GFMs have also been demonstrated to adhere to instructions blindly in a way that may lead them to censor some perspectives.[^LLMCensorship] To be properly ⿻ models mus offer a diverse array of reasonable responses, enabling them to adapt and reflect various perspectives, and ensuring they are accurately calibrated to the nuances of specific populations.
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Furthermore, deliberation in the democratic process is also limited by the ability for humans to practically audit more capable GFMs. GFMs have also been demonstrated to adhere to instructions blindly in a way that may lead them to censor some perspectives.[^LLMCensorship] To be properly ⿻ models must offer a diverse array of reasonable responses, enabling them to adapt and reflect various perspectives, and ensuring they are accurately calibrated to the nuances of specific populations.
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Lastly, deliberation is sometimes idealized as helping overcome divisions and reach a true "common will". Yet, while reaching points of overlapping and rough consensus is crucial for common action, so too is the regeneration of diversity and productive conflict to fuel dynamism and ensure productive inputs to future deliberations. Thus, deliberations and their balance with other modes of collaboration must always attend, as we have illustrated above, to this stimulus to productive conflict as much as it does to the resolution of conflict and the mitigation of explosive conflict.
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