Actual intelligence is useless when decision makers send new weekly AI rules to be better employees. It’s race to the bottom. Race to an endless technical debt. Some companies will implode when codebases stop being manageable. The small minority will thrive. But majority not. I see it used in hardware world. Clever dudes without prior experience with software craft working Python scripts, automate tests, control hardware from rudimentary GUIs. That’s awesome. I see software companies sending internal memo requiring all code to be produced from prompts… It’s like steroids - cleverly used they bring more advantages, though one shouldn’t take double dose with every meal.

It may be useful outside the current tech rat race. One possibility is that a decade of openly user-hostile business decisions will reach their logical conclusion even faster, and those that haven’t fried our brains with CC may be in a position to pick up customers from these behemoths as they disintegrate.

This too shall pass. Among my software engineering friend group bubble: Every single individual (~12 of us) are actively and seriously tokenmaxing. We have middle-managers who have been given an AI mandate, upper-managers saying "uhh...maybe that brush stroke was too broad" when they look at the bill every month, and zero people in that chain have the authority or even ability to roll it back. This week one of my friends cobbled together an agent that runs in an infinite loop, grabs whatever song they're actively listening to on Spotify, writes it in a file, then instructs the agent to emit tokens for 2-3 minutes on what that song and previous songs that day might mean for that person's mental state, like a little music-based diary. Repeat, run all day, 24/7. Kinda cool. But its just a way to use tokens, because the first thing all these AI labs built was a good coding model, and the second thing they built was a dashboard for admins to track how much their users are using the good coding model.

A TON of companies are getting looted by the AI labs and AI users. Many will not survive. I think Meta will be one of them (a shell of their former selves by 2030). The ones who survive to thrive in the 2030s will be the ones that are relentlessly focused on their customers and products, not the process. If you don't regularly hear both "AI would be awesome for that" and "actually AI probably won't be good for that", your company won't make it. You'll either get lapped by the companies who find the strong use-cases, or you'll get looted by infinite and aimless tokenmaxing. The path through the middle is far more narrow than most companies realize, and some major, major companies are waking up to that harsh reality; for some, too late.

It is also possible to walk away from tech. To stop chasing the demands of anything for a buck and focus on something real.

I work in infrastructure (backups, networking etc) and no longer in software. I just don't see llms being that useful right now. If I have a problem and ask an LLM the answer is either fabricated or useless, rarely does it know what it's talking about. And yes I know how to describe the problem so that it has a chance to give an useful answer.

Also even with agents, you can't just try and error your way out of some (most) of the problems I encounter without doing harm if the solution fails.

Might be different if used for infrastructure as code or ansible or some such. That I can see.

Companies that use AI well will replace the companies that use AI badly. There is no world in which AI is not used extensively in all employment going forward.

> internal memo requiring all code to be produced from prompts

That is absolutely insane. Thing is I can honestly believe that it happens, which makes it even more insane.

It’s not like code base written by developers before AI were manageable. The term tech debt was there way before AI coding, and was mainly due to changes made by developers.

I see the point of your argument when this is done by inexperienced developers, as they wouldn’t know what’s happening but for those who knows and guide what has to be done, I don’t see much difference. It’s about understanding the outcome, and evaluating the risk.