So that's my advice is every day, every day, you should be in chat chit.

I don't care what your job is, right?

You could be a Somali at a restaurant and you should be using chat chaptiPt every day to make yourself better at whatever is you do.

Can I ask you about the story really quick?

And you have like a list of stuff here that's like all amazing. It's actually a lot of it's very actionable. But the reason I want to ask you about the story is for the listener. Darmash founded HubSpot 30 billion dollar company. You're the CTO. So you're in your, you're an OG for web 1.0, web 2.0. And your first, or one of your first rounds was funded by Sequoia.

Your partner, Brian, is an investor at Sequoia. So you are in the insider. You're an insider,

I believe. You may not acknowledge it. I don't know if you do or do not. You are an insider.

The cool part is that you're accessible to us. When did you first see what Sam was working on?

And how long have you felt that this is going to change everything? So I actually have

known Sam before I started OpenAI, and I got access to the GPT API. It was a toolkit for

developers to be able to kind of build AI applications, right?

Effectively, and so I built this little chat application that used the API, and so I could have a conversation with him.

So I actually built that thing that night.

It was a Sunday.

I had the full transcript two years before chat CPT came out.

So that's four years ago?

It was 2020, so five years ago. okay uh this summer and so even then it's like and like as soon as i like you sort of have that

moments the same that all of us have was chat gpt i just had it two two years earlier and then i'm

showing everyone like brian you are not going to believe like i have this thing this thing, you know, through this company called Open AI and watch me, like, type stuff into it and see, like, see what happens.

And we would ask it, like, strategic questions about HubSpot. It's like, how should it, like, who are the top competitor? like, and they were, even then, two years before chat, it was shockingly good, right?

But the thing you sort of have to understand about the constraints of how a large language model actually works

is that you type and you have a limited, just imagine this if we're going to just use the physical analog.

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