Shay Banon

where we can contribute to OSI so they have more people and more money to help figure this out, or by working with them to try to figure this out together. I do think in such a new space that moves so fast, like Gen AI, like models, open source has been hijacked, the term, from OSI.

where we can contribute to OSI so they have more people and more money to help figure this out, or by working with them to try to figure this out together. I do think in such a new space that moves so fast, like Gen AI, like models, open source has been hijacked, the term, from OSI.

And I think it's important to try to figure out how do we consolidate that fact that is happening as we speak.

And I think it's important to try to figure out how do we consolidate that fact that is happening as we speak.

Yeah.

Yeah.

I think it's more than the megaphone that Meta has, right? Because Meta, for example, released quite a few open source projects over the years.

I think it's more than the megaphone that Meta has, right? Because Meta, for example, released quite a few open source projects over the years.

And if they would have called one of them open source when it wasn't OSI approved, I'm pretty sure that we could have resisted it. I think the other factor that is at play is that's a model that they're putting, under a very permissive license that cost hundreds of millions of dollars to build.

And if they would have called one of them open source when it wasn't OSI approved, I'm pretty sure that we could have resisted it. I think the other factor that is at play is that's a model that they're putting, under a very permissive license that cost hundreds of millions of dollars to build.

That's pretty crazy. In a very short amount of time, I didn't do the math of how many money did we spend Elastic as a company and personally on just building Elasticsearch. But in a very short amount of time, a lot of money was spent to build our product. And this is pretty remarkable. to be able to put it under such a permissive license.

That's pretty crazy. In a very short amount of time, I didn't do the math of how many money did we spend Elastic as a company and personally on just building Elasticsearch. But in a very short amount of time, a lot of money was spent to build our product. And this is pretty remarkable. to be able to put it under such a permissive license.

So that's another reason why people go and say, okay, we want to use it.

So that's another reason why people go and say, okay, we want to use it.

Yeah, and I think the interesting part is that, for example, they made the license more permissive just recently, right, if I remember correctly.

Yeah, and I think the interesting part is that, for example, they made the license more permissive just recently, right, if I remember correctly.

And I think this is the important work that we need to do because open source within models might have a lot of fidelity. There's the weights that might be open or open source. There's the retraining opportunity that you might be allowed to do or not. There's the data sources that you use to train the model.

And I think this is the important work that we need to do because open source within models might have a lot of fidelity. There's the weights that might be open or open source. There's the retraining opportunity that you might be allowed to do or not. There's the data sources that you use to train the model.

They don't have to be open source, but are you opening which data sources, like just listing them so you can go and certify them or not? So there's like... A lot of areas in these places that if we have a standard way to think about them like we do with other open source licenses, I think it will be good for the world.

They don't have to be open source, but are you opening which data sources, like just listing them so you can go and certify them or not? So there's like... A lot of areas in these places that if we have a standard way to think about them like we do with other open source licenses, I think it will be good for the world.