Does AI actually help earning money?
With the talk about how many shiny new software products with generative AI out there, it feels like it is a gold rush.
But in reality, most of such projects are not sustainable or even useful–they simply ride the wave of hype.
The reason why investors are willing to throw their money away on weird toy projects is a topic for another day. Today I want to touch upon a simple question:
Do new AI technologies actually help build better products that have never been seen before?
You see, with Multify I’m in an interesting spot: on one hand I use modern LLMs for translation, but on the other hand the value of the product and the 90% of the functionality is not related to AI in any way.
Before LLMs there were machine translation techniques which were used extensively. So yes, in a way LLMs power my own product, but I’m not sure it drives primary value.
And that’s a good thing.
This means my product is not hard-wired to current state of the art LLMs and there is no risk of competing features coming from OpenAI etc.
In fact, that’s the way I wanted to building a product long before I started Multify. I just couldn’t find the right product-fit.
And of course, I do plan on leveraging modern AI to improve and create more value. It is just that from a business standpoint I feel like it is more robust not to rely on modern technology 100% of the time.