[martinsnow]

It seems like investors have bought into the idea that llms has to improve no matter what. I see it in the company I'm currently at. No matter what we have to work with whatever bullshit these models can output. I am however looking at more responsible companies for new employment.

[fhd2]

I'd argue a lot of the current AI hype is fuelled by hopium that models will improve significantly and hallucinations will be solved.

I'm a (minor) investor, and I see this a lot: People integrate LLMs for some use case, lately increasingly agentic (i.e. in a loop), and then when I scrutinise the results, the excuse is that models will improve, and _then_ they'll have a viable product.

I currently don't bet on that. Show me you're using LLMs smart and have solid solutions for _todays_ limitations, different story.

[martinsnow]

Our problem is that non coding stakeholders produce garbage tiers frontend prototypes and expect us to include whatever garbage they created in our production pipeline! Wtf is going on? That's why I'm polishing my resume and getting out of this mess. We're controlled by managers who don't know Wtf they're doing.