I'm OK being left behind, thanks

If I'm writing a library to work with a binary format, there is very little English in my head required, let alone written English.

That is a heavily symbolic exercise. I will "read" the spec, but I will not pronounce it in literal audible English in my head (I'm a better reader than that.)

I write Haskell tho so maybe I'm biased. I do not have an inner narrative when programming ever.

I was thinking about this but sometimes its hard to distinguish between what the marketing of OpenAI, Anthropic and other companies say and what actually all the companies are doing throughout the world. Any thoughts on that?

For example even the layoffs, nowadays seem to be because of AI or so they said but just a year or two ago there were quite some layoffs and people said "its because of the high demand in COVID and now its over, or Ukraine or inflation" but then that ignores that exactly during that time earlier were there many layofs but it was super easy "Oh COVID and supply chain!" and earlier maybe something else.

Surely there are also economic booms but when did the whole world jsut suddenly started seriously listening to public statements of companies (and that jsut a few with no real income, just money from VCs) and nobody shows us the real data of whats actually happening? E.g. the companies saying they fired 10K due to AI, how much did they actually now direct their budget to AI? How many products are actually being build? Is the productivity the same? Are the customers thinking that support is suddenly amazing or actually it has seriously dropepd in quality? Or no change at all? Is it a company like KFC, your local hardwore chain store, financial isntitutions, truck manufactures or anothet AI company with funding using another AIs company with other funding using now one more AIs company products up to the power suppliers?

For me it seems that its definitely impacting things and a cool technology to be more productive (for example it helps me a lot daily but its not like my life really changed) but the other things I haven't seen yet.

Another point each actual AI generated app is either something akin to a toilet game or not really working (like the C compiler). So where are the amazing enterprise complicated apps fully built via agents? In banks, in government, in apps that respect GDPR and actually are secure but proudly build only or mostly with agents? The only ones, not even secure, are other AI apps to do AI stuff but its whole value it says is to be more productive in the "real" economy but it still hasn't done it yet anywhere. People still struggle with Word or AWS infra or debugging why some specific user cant log in with their custom auth provider at some esoteric region with their laws and audits and GDPR variant.

So one side says its basically a tool from God and they never have created more stuff but on the other hand the other group analyzing blood work, delivering food, writing reports, etc uses it a bit or not at all but all the 95% of problems they had are there with some new ones. Also I'm afraid most of them just write now their email better or with more volume, but no real work is getting done.

So yeah maybe my confusion simply lies in that fact that I have a real job and nobody can keep up with all the slop and shit generated online anymore. I'm open to feedback or learn.

Plenty of frameworks and tools still exist.

AI/LLMs are not getting stupid in something they are already good in (or very seldom if).

So i see it more as an evolving thing not a wicked thing.

Newest claude release made context better, for this information I already need to know claude and know what a context is and what the problem with context length is.

I'm following AI for a few years now and def not have the feeling at all its wicked.

I haven't written code by hand since December when Claude Opus 4.5 came out. It was clear that the inflection point arrived where it's at least as good as I am at implementing a plan. But not only that: it had good ideas like making impossible states impossible with a smart union type without being told and without me deeply modeling the domain in my head to derive a system invariant I could encode like that.

It was depressing watching all of this unfold over the last few years, but now I'm taking on more projects and delivering more features/value than ever before. That was the reason I got into software anyways, to make good software that people like to use.

> the generations before and after can't really relate to each other anymore

Yeah, good point. In some ways it's already crazy to me that we used to write code by hand. Especially all the chore work, like migrating/refactoring, that's trivial for even a dumb LLM to do. It kinda feels like a liability now when I'm writing code, kinda like how it feels when the syntax highlighting or type-checker breaks in the editor and isn't giving you live feedback, so you're surprised when it compiles and runs on the first try.

I remember having a hard time imagining what it was like for my dad to stub out his software program on paper until his scheduled appointment with the university punch card machine. And then sure being happy that I could just click a Run button in my editor to run my program.