In five years time, some CTO will review the mysterious outage or technical debt in their organisation.
They will unearth a mess of poorly written, poorly -documented, barely-functioning code their staff don’t understand.
They will conclude that they did not actually save money by replacing human developers with LLMs.
#AI #LLM #LargeLanguageModels #WebDev #Coding #Tech #Technology @technology
Yeah the amount of good ai can do for the world is staggering, even just giving a speed boost and quality improvement to open source Devs will unlock a lot of new potential.
The problem is people in a certain age bracket often fear change because they feel they’ve put effort into learning how things work and if things change then all that effort will be worthless.
It doesn’t really matter though, gangs of idiots literally smashed the prototype looms when they were demonstrated because despite the cost of cloth being one of the major factors in poverty at the time a handful of people took it on themselves to fight to maintain the status quo – of course we know how it turned out, the same that it always does…
Areas that resisted technological and social growth stagnated and got displaced by those which welcomed it
“gangs of idiots” smashed the prototype looms because they knew they would put them out of work. And they were right, even though the machines were probably a net benefit for society in the end.
It will be the same with AI. If it ends up actually benefiting humanity as a whole, it will 100% be a side effect of a few assholes getting insanely rich, or from massive governmental regulation.