Post #3364852

2026-05-16 00:49 UTC

@mitchellh@hachyderm.io There are some good folks writing some solid pieces. This one has nice graphs laying out the long-term costs in a way that I think most folks can absorb: https://www.jamesshore.com/v2/blog/2026/you-need-ai-that-reduces-your-maintenance-costs and honestly if you have spent any time thinking about the software development lifecycle seriously this should hit home b/c there is nothing revolutionary there. This one talks about the hard cognitive limits human have: https://techtrenches.dev/p/the-human-cost-of-10x-how-ai-is-physically and why this means that lines of code is not the correct measure of productivity and in fact this is a terrible measure. What is there I think is less commonly well known and may take a bit more thought to get in the big picture sense. Anyone who has spent time thinking about software quality, you should be nodding your head b/c it is correct.

Replies (1)

@shafik@hachyderm.io 2026-05-16 00:57

@mitchellh@hachyderm.io The conversation I was totally not ready for where the ones where people being totally earnest told me they believed LLMs are intelligent or can reason. I knew inherently this was wrong b/c I spent time understanding how they work in detail but actually explaining it in a plain way stumped me w/o thinking more deeply about it. If you spent time learning about Russell, Wittgenstein, Hilbert, Godel and others you should see the flaws in thinking and get why induction can't get you there but that is hard row to explain to anyone who is not familiar. So I think these two articles hit the right spot: https://hachyderm.io/@shafik/116468806967961821 and https://hachyderm.io/@shafik/116468521909545361 but you can go deep on this one.

Open ##3364853