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Nowadays, we must distinguish between ''traditional'', obedient, rule-following machies, and ''randomly-make-it-up'' [[large language model]]s — unthinking, probabilistic, ''pattern-matching machines''. [[LLM]]s are the novelty act of 2023, at the top of their hype cycle right now, like [[Blockchain|blockchain]], was a year ago, and like [[DLT]] they will struggle to find an enduring use case. | Nowadays, we must distinguish between ''traditional'', obedient, rule-following machies, and ''randomly-make-it-up'' [[large language model]]s — unthinking, probabilistic, ''pattern-matching machines''. [[LLM]]s are the novelty act of 2023, at the top of their hype cycle right now, like [[Blockchain|blockchain]], was a year ago, and like [[DLT]] they will struggle to find an enduring use case. | ||
''Traditional'' machines make flawless decisions, as long as both question ''and'' answer are pre-configured. | ''Traditional'' machines make flawless decisions, as long as both question ''and'' answer are pre-configured. [[Meatsacks]] are better at handling ambiguity, conflict and novel situations. We’re not flawless — that’s part of the charm — but wherever we find a conundrum we can at least have a bash. We don’t crash. We don’t hang until dialogue boxes close. That’s the boon and the bane of the [[meatware]]: you ''can’t always tell when a human makes a syntax error''. | ||
This is how we’ve always used technology: the human figures out which field to plough; the horse ploughs it. | This is how we’ve always used technology: the human figures out which field to plough and when; the horse ploughs it. | ||
While | While technology may have prompted the odd short-term dislocation — the industrial revolution put a bunch of [[Jacquard loom|basket-weavers out of work]] — the long-term prognosis has been benign: technology has, for millennia, freed us to do things we previously had no time to try. | ||
Technology opens up the design | Technology opens up the design space. It reveals [[adjacent possibilities]], expands the intellectual ecosystem, domesticates what we know and opens up [[frontier]]s to what we don’t. | ||
[[Frontier]]s are places where we need smart people to figure out new tools and new ways of operating. Machines can’t do it. | [[Frontier]]s are places where we need smart people to figure out new tools and new ways of operating. Machines can’t do it. |