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Template:M intro work Large Learning Model: Difference between revisions
Template:M intro work Large Learning Model (view source)
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, 22 July 2023→Cui bono?
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This is, in itself, a neat “[[simplification|simplification defeat device]]”: if you make a contract template sufficiently convoluted, the one-off cost of simplifying it so vastly outweighs the cost of just “tweaking” and living with it that few clients will ever take that first step to simplify. Even though the the ongoing costs of ''not'' rationalising dwarf the one-off costs of doing so, the long-term savings are always over that hump. | This is, in itself, a neat “[[simplification|simplification defeat device]]”: if you make a contract template sufficiently convoluted, the one-off cost of simplifying it so vastly outweighs the cost of just “tweaking” and living with it that few clients will ever take that first step to simplify. Even though the the ongoing costs of ''not'' rationalising dwarf the one-off costs of doing so, the long-term savings are always over that hump. | ||
And bear in mind it will be | And bear in mind it will be the lawyers who deploy [[LLM]]s as a tool, not their clients. Why? ''Because of that [[ineffability]]''. An [[LLM]] is a pattern-matching device. It understands nothing. It cannot provide unmediated legal advice. It can only ever be a “back-breaker”: the “last mile” needs a human who knows what she is doing, understands the context and complicated human psychology at play in the cauldron of 1 [[negotiation]]. An [[LLM]] can draw pretty, impressive-at-a-distance doodles, but it cannot do that. Nor can it write [[legal opinion]]s — well, not meaningful ones — and nor, unmediated by a law firm, does it have the insurance policy or deep, suable pockets for which a client is paying when it seeks legal advice in the first place. | ||
An [[LLM]] can only be deployed, that is to say, by someone with skin in the game; who is prepared to put ''herself'' in jeopardy by accepting the assignment, which jeopardy she defends by the simple expedient of ''knowing what she is doing'' and checking her [[LLM]]’s output. | An [[LLM]] can only be deployed, that is to say, by someone with skin in the game; who is prepared to put ''herself'' in jeopardy by accepting the assignment, which jeopardy she defends by the simple expedient of ''knowing what she is doing'' and checking her [[LLM]]’s output. | ||