Corey Noles

Do you think that creates a value in that need for more context and the context that a model is specifically missing?

Do you think that's pretty vital?

Yeah, and that's where connectors come in, I would suppose, with regard to with OpenAI or Google or Gemini or Claude, any of those, I think.

it having the ability to query your company might be really valuable.

I always thought that or something I keep going back to is that I think there's going to be some real leverage for

for Google and for Tesla in terms of traveling around with cars that are mapping the world around them in a lot of ways.

I feel like those are data points that while they exist, I feel like there's something different that type of data could bring to the table that's maybe not there today.

Yeah, same, same.

And I guess I should have said XAI.

I went to Tesla.

But, you know, and then you've got Meta who, while they're not at the top of the game right now, they are sitting on a mountain of individual user data on feelings and what people do.

I think leveraging that's going to be interesting.

And you're seeing companies already that are adjusting their privacy policies and things like that to make sure they have ways to tap into these things, I believe.

That experiential knowledge that like I know what it feels like to buy a new gadget and be excited about it.

Yeah.

That's a thing that's really going to be hard to capture at the data level, I would think.

And how it feels to watch an LLM do something that I do really well, better than me on occasion.

I think so, too.

What it can do is get me to go to the store and sit in the chair.

But there is a value to, you know, seeing it.