Ask HN: Should lack of ML expertise affect scaling ideas based on LLMs?

Coming from traditional software dev background in enterprise IT, I am fascinated by what foundation LLMs can do.

I don't have a deep background in ML, fine-tuning, training models etc, but I have experimented with plain OpenAI APIs with python/LangChain tooling to build few small apps.

What pulls me back beyond a point is relying solely on these models, thinking it might limit differentiation in the market without core AI capabilities and cost-benefit calculations for tons of API calls vis-a-vis homegrown models.

May be it’s just my insecurities but I'm curious to hear your thoughts and experiences.