Alex Wiltschko

If it's like a smell you're familiar with and I'm trying to recreate a memory that you have, like we either did it or we didn't.

If it's like a smell you're familiar with and I'm trying to recreate a memory that you have, like we either did it or we didn't.

Aromarama.

Aromarama.

They only had certain smells that were like whole scenes. And so they didn't have primary odors. They didn't have the ability to create any smell. And so here on this robot, you're obviously not putting this behind a couch cushion yet, but we're going to make this smaller. But the idea here is you need to have all the ingredients together that can be mixed on the fly to create any experience.

They only had certain smells that were like whole scenes. And so they didn't have primary odors. They didn't have the ability to create any smell. And so here on this robot, you're obviously not putting this behind a couch cushion yet, but we're going to make this smaller. But the idea here is you need to have all the ingredients together that can be mixed on the fly to create any experience.

not just like eight pre-programmed experiences that's like a slideshow right we want an actual display that can show anything what is the most surprising thing about primary smells we're kind of at the scientific frontier and so like everything that we discover every week every month like pushes back what's known about smell and how to construct it um i think

not just like eight pre-programmed experiences that's like a slideshow right we want an actual display that can show anything what is the most surprising thing about primary smells we're kind of at the scientific frontier and so like everything that we discover every week every month like pushes back what's known about smell and how to construct it um i think

One thing that I've found in doing science and machine learning and combining these things is problems that people sometimes think are totally intractable, once you just get started, you're like, oh, we're actually making progress.

One thing that I've found in doing science and machine learning and combining these things is problems that people sometimes think are totally intractable, once you just get started, you're like, oh, we're actually making progress.

And so the idea of creating sense with AI and creating those sense in partnership with people and fusing human and machine to work in this very emotional world of sense. People like, you just don't think of it. It's like, oh, that's crazy.

And so the idea of creating sense with AI and creating those sense in partnership with people and fusing human and machine to work in this very emotional world of sense. People like, you just don't think of it. It's like, oh, that's crazy.

Then you start making progress bit by bit. And the first scents are like dumb. They don't work or they don't smell right. And then like you come back four weeks later, you're like, that one was really good. Holy crap. I think it's working. And then they all start to work. And then you start to go talk to customers and they start to accept some of your scents for products.

Then you start making progress bit by bit. And the first scents are like dumb. They don't work or they don't smell right. And then like you come back four weeks later, you're like, that one was really good. Holy crap. I think it's working. And then they all start to work. And then you start to go talk to customers and they start to accept some of your scents for products.

And then it's like really starts to roll. And, you know, bit by bit, you just, you know, keep going. Yeah. You know what StockX is? They have a problem with fakes from Timu. I want you to hold this in your right hand and smell inside of it. And I want you to hold this in your left hand and smell inside of it. And I want you to look at them. Can you tell the difference between these?

And then it's like really starts to roll. And, you know, bit by bit, you just, you know, keep going. Yeah. You know what StockX is? They have a problem with fakes from Timu. I want you to hold this in your right hand and smell inside of it. And I want you to hold this in your left hand and smell inside of it. And I want you to look at them. Can you tell the difference between these?

You can't work at StockX. But it's more pungent, right? It's more pungent, right? So the difference is the counterfeiters are really good at visual identity, but the smell of the shoe is basically the fingerprint of everything that ever happened to make this. What we've been able to do with StockX is show that we can take those really big sensors that are in the lab,

You can't work at StockX. But it's more pungent, right? It's more pungent, right? So the difference is the counterfeiters are really good at visual identity, but the smell of the shoe is basically the fingerprint of everything that ever happened to make this. What we've been able to do with StockX is show that we can take those really big sensors that are in the lab,

cut the right corners, make them smaller. So it's actually, the sensors are about the size of these two shoe boxes together. That's one right there. And what we do is we can take the thumb hole of the shoe box and basically insert it into a sniffer. And it will, within 20 seconds, it'll tell you real or fake. And we just have to show it a few reels, a few fakes.

cut the right corners, make them smaller. So it's actually, the sensors are about the size of these two shoe boxes together. That's one right there. And what we do is we can take the thumb hole of the shoe box and basically insert it into a sniffer. And it will, within 20 seconds, it'll tell you real or fake. And we just have to show it a few reels, a few fakes.