[specproc]

I am increasingly finding my consulting work to be orientated around clearing up after people who outsourced their thinking to AI.

I'm seeing some incredibly dumb stuff: researchers spending months on Claude trying to do insane deduplication, unrelated to their research question, using regex; whole research methodologies YOLO'd out of ChatGPT.

The results invariably chaotic, resulting in huge amounts of stress and wasted time.

Non-technical people are treating LLMs like an oracle, making big assumptions and decisions with little regard for their implications, because their clanker told them to.

It's scary out there. The lack of critical thinking I'm seeing in some of these projects is horrific. Not unique to the post-AI era, certainly, but on a whole new level. Bad things are undoubtedly happening everywhere, right now, because someone's just like "let's ask Claude".

[zer00eyz]

> The lack of critical thinking I'm seeing in some of these projects is horrific.

Yesterday I noted in another comment that I am having lots of Lawyers and Writers ask me pointed questions about "docker" and "agents" that make them sound more like JR engineers.

It's two groups of people who, as a profession, spend a large amount of time reviewing their own work and the work of others with a critical eye. Writers edit, Lawyers review evidence and every bit of content that their oppositions produces. Both groups (when doing their job well) aren't just critically thinking, they are being diligent and dedicated.

Lots of people are treating LLM's like an oracle (technical ones as well). Because our culture values moving bricks faster, with out taking into account if they are going to the right place, or even if they are the right bricks. (See: https://www.business.com/articles/management-theory-of-frank... and https://en.wikipedia.org/wiki/Time_and_motion_study for why "bricks" matter).

[scotty79]

Coding LLMs got good only very recently (about 3 months ago). And many people don't use the best ones. The amount of LLM generated bs dropped for me from about 20%, which made me very cautious, to nearly zero, where I see the agent do only the errors that a smart person could also make.

It's not evenly distributed though. There are still areas for improvement in my experience. They still require a bit of handholding for example when doing SQL when large amount of data is involved. I'm sure they'll get better intuitions about indexes in the future. Although I don't think that's anything that couldn't be solved with a skill file today.