I suspect you're overstating the degree to which an LLM might be unsuitable for some types of work. For example, I'm a data scientist who works primarily in the field of sales forecasting. I've found that LLMs are quite poor at this task, frequently providing answers that are inappropriate, misleading, or simply not a good fit for the data we're working with. In general I've found very limited use in engaging LLMs in discussion about my work.
I don't think I'm calling myself a super special snowflake here. These models are just ... bad at sales forecasting.
LLMs aren't entirely useless for me. I'll use ChatGPT to generate code to make plots. That's helpful.
Zero LLMs have been trained on doing sales forecasting to my knowledge (and it isn't the right use regardless). In contrast, many LLMs have been trained on enormous quantities of code, coding languages and platforms and uses. Billions and billions of lines of code covering just about every sort of project. Millions of projects.
If someone says "Well my software dev project is too unique and novel and they are therefore of no value to me, but I understand it works for those simple folk with their simple needs", there is an overwhelming probability they are...misinformed.
Would it help if I said most “normal folk” applications of LLMs are a waste of time and money too then? Because I’m also absolutely a believer that a huge bubble burst is coming for OpenAI and company.
I don't think I'm calling myself a super special snowflake here. These models are just ... bad at sales forecasting.
LLMs aren't entirely useless for me. I'll use ChatGPT to generate code to make plots. That's helpful.