Post #2394650

2026-05-09 12:43 UTC

A lab mate recently asked me why I think the tech industry might regret their rapid and large scale adoption of LLM into their development practices. I said there were at least three core problems: tech companies outpacing themselves, reduced quality, and cultural breakdown. (1/4) #ai #llm #programming

Replies (2)

@ngaylinn@tech.lgbt 2026-05-09 12:43

Let's start with the outpacing argument, 'cuz I think it sets the stage well. Coding speed is not the limiting factor in Silicon Valley's innovation. When I left Google, they were drowning in legacy code, and it was a huge problem that no one was willing to invest in fixing. Somehow I imagine adopting LLMs has only made this problem much worse, not better. Actually, success is limited by things like having good product ideas, understanding and responding to user needs, and providing adequate resources for regular service, support, and maintenance. Honestly, look at software these days: it's bloated with features you don't use because they want to look like they're "innovating" but actually they're just churning out more junk. More junk faster is not what anybody needs! (2/4) #ai #llm #programming

Open ##2568344
@bms48@mastodon.social 2026-05-09 12:53

@ngaylinn@tech.lgbt The LLM-wielding showdown between market fundamentalism and state capitalism is looming. Fetch the popcorn.

Open ##2568348