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249 points colesantiago | 2 comments | | HN request time: 0.43s | source
1. bayouborne ◴[] No.40753748[source]
It's clear OpenAI badly wants to get to a place where the Support and R&D departments of big companies can dump every disjointed scrap of info they've been collecting for years, into a massive bucket, let OpenAI's servers cook it for a while and then like magic, let managers ask the Borgian result.. stuff. Why is this process failing? What's not relevant? What stuff that we've demoted in importance, isn't? etc etc etc
replies(1): >>40753971 #
2. threeseed ◴[] No.40753971[source]
This is exactly it here.

It’s been very common to see startups many of whom have never set foot in an enterprise push this idea that you can drop a LLM on top of company data and ask questions like it was ChatGPT. The reality is that most company data is a mess with little funding/will to fix it and so the results are unusable. So if OpenAI wants to be anything other more than a chatbot they will need to start to tackle this problem.

Amazing to watch their aspirations go from such lofty heights to being just another enterprise data infrastructure SaaS company.

And should be a clear sign that the AI hype train has run out of stream.