alt Hacker NewsLLMs still need to bring clear added value to enterprise and corporate work; otherwise, they remain a geek’s toy.
Big media agencies that claim to use AI rely on strong creative teams who fine-tune prompts and spend weeks doing so. Even then, they don’t fully trust AI to slice long videos into shorter clips for social media.
Heavy administrative functions like HR or Finance still don’t get approval to expose any of their data to LLMs.
What I’m trying to say is that we are still in the early stages of LLM development, and as promising as this looks, it’s still far from delivering the real value that is often claimed.
I think their non-deterministic nature is what’s making it difficult to adopt. It’s hard to train somebody in the old way of “if you see this, do this” because when you call the LLM twice you most likely get different results.
It took a long time to computerize businesses and it might take some time to adopt/adapt to LLMs.