Antoine Papiernik

So now when we, you know, we have like over 3000 deals that come through our shop a year.

It's impossible.

How do you find the needle in the haystack?

How do you, you know, see those low level noise that will allow you to pick that needle?

incredible company from Norway or from, you know, Eastern Europe somewhere that you have no idea, you know.

Seven years.

Seven years.

Of course, since ChatGPT, we're using an LLM, the best version of ChatGPT 4 or whatever is the next.

But this is what I was trying to say earlier is that the power, the power is there for the LLMs, but the importance,

is not, in a way, the LLM.

The importance is how do you connect the dots using information that you have, that we have, that nobody else has, that enriches this information so that you can find the diamonds in the rough.

That is how you do it.

That's why I predict that the LLMs will be the commodity going forward, and the value will be in those who leverage the commodity in order to use their special technology

secret source that nobody else has to get to a result, whether it's latent labs leveraging dedicated data or I mentioned BioOptimus, but there are other companies in the portfolio.

Back to the question you were asking, is France a good place because of Mistral and is Europe a good place?

Well,

It happens that, yeah, well, France is a very good place because the engineers are super well trained, but it's not the only place.

But how do you find those?

With your hands, it's impossible.

With your eyes, it's impossible.