Jordi Hays

Like, what will we do when the AI can do all the technical stuff?

Well, we'll have the taste.

That being said, just to set the, the

the table and the critique.

A lot of people outside of tech are critiquing it because a lot of SF people in tech are saying taste is so important and the outsiders don't see San Francisco tech as being particularly tasteful people from a fashion perspective, from an art perspective or curation perspective.

It's sort of known as the t-shirts and athleisure community and that's

It's optimized.

It's devoid of taste.

By design, it's about efficiency, not taste.

1 plus 1 equals 11.

Oh, yeah.

Yeah.

I feel like a lot of the training data, data labeling.

Yeah, it is funny because you could do the inverse and say our job is to just identify things that are not tasteful and the end product would be exactly the same because that's just your negative data set and everything else is positive by that design.

But a lot of the data labeling projects have just been

does the button work?

Does the, does this render properly?

Like, is this just, is this functional?

And some of that's been able to be, you know, looped in a reinforcement learning environment.

Some of it's been able to be encoded just tagging.