Template:M intro technology Better call ChatGPT: Difference between revisions

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 Before long, this process will have itself sedimented into the administrative sludge that weighs your organisation down. Other processes will depend on it. Surgical removal will be ''hard''.
-====Toyota production system:
+====LLMs and waste====
-[[Large language model|LLM]]s can’t function by themselves (yet: we are not quite at the point of Skynet, however much techno-utopians might hanker for it). They imply not saved legal cost, but “waste” transferred: it will be diffused among software-as-a-service providers, the firm’s procurement complex, internal audit, operations and, yes, legal who will still have to handle exceptions, manage and troubleshoot the system, vouch for it, periodically certify its legal adequacy and present it to the opco
+{{drop|L|LMs can’t function}} by, or think for, themselves (''yet''). Their deployment implies not saved legal cost, but “[[Seven wastes of negotiation|waste]]” transferred: what once was spent on [[legal eagle]]s will be diffused among [[software-as-a-service]] providers, the firm’s procurement complex, [[internal audit]], [[operations]] and, yes, dear old [[legal]] who will ''still'' have to handle exceptions, manage and troubleshoot the system, vouch for it, be blamed for it, to periodically certify its legal adequacy to CASS compliance and then, when it turns out not to be, explain why it wasn’t to the operational risk [[steerco]].
-LLMs as finite. They necessarily mimic what has gone before. While yes alpha go might engineer a novel strategy in a zero-sum game, it is not so easy on in the non-linear infinitude of life. An LLM that purports to improve on its training material will be distrusted it doesn’t understand, so what good had it got of reimagining?
+LLMs as finite. They necessarily mimic what has gone before. While, yes [[Alpha Go|AlphaGo]] might engineer a novel strategy in a [[zero-sum game]], it is not so easy on in the non-linear infinitude of life. An LLM that purports to improve on its training material will be distrusted it doesn’t understand, so what good had it got of reimagining?
 The perfect LLM serves up an archetypal sample of what you already have.
-<references />