Reasoning LLMs feel like an attempt to stuff the context window with additional thoughts, which does influence the output, but is still a proxy for plasticity and aha-moments that can generate.
That's good point, we don't do that right now. it's all very crystalized.
I don't think that anyone is advocating for LLMs to be used "on their own". Isn't it like saying that airplanes are useless "on their own" in 1910, before people had a chance to figure out proper runways and ATC towers?
If so, I quite enjoyed that as a way of considering how LLM-driven exploratory coding has now become feasible. It's not quite there yet, but we're getting closer to a non-technical user being able to create a POC on their own, which would then be a much better point for them in engaging an engineer. And it will only get better from here.
You wouldn’t argue that writing in a high level language doesn’t let you produce arbitrary code because the compiler is just spitting out presets its author prepared for you.
There are 2 main differences between using an LLM to build an app for you and using a no code solution with a visual language.
1. The source code is English (which is definitely more expressive).
2. The output isn’t deterministic (even with temperature set to 0 which is probably not what you want anyway)
Both 1 and 2 are terrible ideas. I’m not sure which is worse.
The median dev on Fiverr is so awful that almost anything is more bang for your buck.
AKA embodiment. Hubert L. Dreyfus discussed this extensively in "Why Heideggerian AI Failed and How Fixing it Would Require Making it More Heideggerian": http://dx.doi.org/10.1080/09515080701239510