zlacker

For some projects, "better tools for the human part" is sufficient and awesome.

But for other projects, being able to scale with little or no human involvement suddenly turns some things that were borderline profitable or not possible to make profitable at all with current salaries vs. token costs into viable businesses.

Where it works, it's a paradigm shift - for both good and bad.

So it depends what you're trying to solve for. I have projects in both categories.

>>vidarh+(OP)
Personally I think the part where you try to eliminate humans from involvement, is gonna lead to too much trouble, being too inflexible and the results will be bad. It's what I've seen so far, haven't seen anything pointing to it being feasible, but I'd be happy to be corrected.

>>embedd+y
It really depends on the type of tasks. There are many tasks LLMs do for me entirely autonomously already, because they do it well enough that it's no longer worth my time.