AI models are mostly either closed and API-gated, sacrificing transparency and local execution, or openly distributed, sacrificing monetization and control.
But there's actually a way to enable open-source models that are freely distributed for local execution to be economically sustainable.
Comment "OML" to learn how.
Open Source's big problem.
Last night I went to a Y Combinator party in San Francisco and met an entrepreneur who is making a top Open Source AI model.
He told me it is very hard to make money in open source. Yeah, it is cool being popular, he told me, but figuring out how to make a business out of it is proving to be very difficult.
The Chinese are pounding the price into the ground with their open source models. Which makes it tough.
In the old world of Open Source you could make money with them by consulting, service, etc, like RedHat did.
But in this new world, he told me, it's much harder to make a good business out of it.
Is anyone making a good business out of open source?
What would your advice be to the businesses that are trying to support Open Source?