[jrpt]

LLMs aren't a fad though. Yasser has thousands of customers paying him real money because they find value in what his product does.

I'm running a somewhat similar website (https://Docalysis.com/) where users chat with files, and it's clear there's a lot of value being added, so people are willing to pay.

What's less clear is how this all plays out when there's more competition, but it's not like we'll all go out of business. It'll just be a bit harder, or you'll have to do things to differentiate. I'm planning on differentiating more, just using the current product as a starting point. Yasser probably is thinking along similar lines.

[james-revisoai]

Beware that most 2020-2021 OpenAI startups haven't survived to today, especially since ChatGPT allowed free use of most B2C use cases (article writing, paraphrasing, etc). I posted a brief postmortem of my experience from 2021 to 2023 when I did at one point launch a similar product to yours which, if you got into this more recently, may be worth reading.

[wefarrell]

I do expect constraints to emerge, in the form of regulatory capture and copyright challenges from content owners.

[kordlessagain]

The bigger play is maybe data lakes. Upwards of 80% of that data is unstructured. And, it likely can’t move off prem.

[ulrikhansen54]

New architectures and models will inevitably replace LLMs, and it'll probably happen pretty quickly. The models we're using today will be outdated in 12 months time. The next big thing will a fusion of LLMs, LVMs (large vision models) and LAMs (large audio models) into modal-modal models.