←back to thread

440 points pseudolus | 1 comments | | HN request time: 0.2s | source
Show context
Havoc ◴[] No.45063050[source]
Not sure what these guys are studying but can tell you in the real world - essentially zero AI rollout in accounting world for anything serious.

We've got access to some fancy enterprise copilot version, deep research, MS office integration and all that jazz. I use it diligently every day...to make me a summary of today's global news.

When I try to apply it to actual accounting work. It hallucinates left, right & center on stuff that can't be wrong. Millions and millions off. That's how you get the taxman to kick down your door. Even simple "are these two numbers the same" get false positives so often that it's impossible to trust. So now I've got a review tool that I can't trust the output of? It's like a programming language where the equality (==) symbol has a built in 20% random number generator and you're supposed to write mission critical code with it.

replies(14): >>45063417 #>>45063575 #>>45063964 #>>45064042 #>>45064413 #>>45064732 #>>45065017 #>>45065089 #>>45065569 #>>45065576 #>>45068813 #>>45069627 #>>45076092 #>>45093899 #
1. bitcuration ◴[] No.45076092[source]
It's not about using LLM for calculation, it's about automation and agentic. The integration and deployment in enterprise will be a matter of time. Hiring fresh out of school used to be labor and training, but knowing in 5 years the industry will shrink while the senior staff will keep the boat floating aided by AI, the cutoff time is now. There is no need to keep sending young generation to industries that're bound to be automated enmass. And these are in the immediate near term.

Other industries are yet to see how AI will impact, it may or may not ever. But in some science fields, new graduated PhDs are seen the same hiring freeze. The complete outsourcing of school knowledge to LLM is coming to our life real soon, the only factor not making it faster is the data center and energy, which are being worked on to resolve in a couple years. These are the reason AI is not yet as cheap as search and ready for consumer market. But it's cheap or will be cheaper enough in two years for enterprise at a cost lower than human resource. The answer is obvious when looking at it on a 5 year horizon.