alt Hacker News> What I’m particularly curious about is what the “endgame” of this looks like.
A higher fraction of money going into the system is lost to navigating adversarial processes. And probably the occasional person getting in legal trouble for not validating their LLM output before feeding it to a formal process.
For customer-funded things (eg home insurance), this means higher prices for the same in-practice benefits (as distinct from nominal benefits; any gap between nominal and actual benefits will probably end up smaller).
For publicly-funded things (government benefits), this could show as increased budgets for the same result or decreased results on the same budget.
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> So I suspect this will lead to a much more formally rigorous system with various “certificates” proving, e.g., that you lost your job or that a doctor has confirmed you have a disability.
Well, maybe standardization of how employers or doctors or whoever are required to report things to the government.
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Sure but is that the end game? Systems can respond with things like higher deductible insurance options and graduated assistance based on tax filing which may benefit people who wouldn't file before and also won't use AI for this but were already paying costs of others getting more benefits.
It can also be a way for the public to force the government to perform better, thus lowering the cost of services. For example, the school district in my city is going through a financial crisis of its own making. The public is the only thing holding the district and board of the district accountable, to prevent them from wasting money and creating legal liabilities. AI has been instrumental in allowing the public to better understand the technical financial documents and situations the district is in.