WEBVTT - The Borg Chef

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey, they're in weld into Forward Thinking, the

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<v Speaker 1>podcast that looks at the future and says John Belaiah

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<v Speaker 1>and the Crawfish Pie and a Dele Gumbo. I'm Jonathan Strickland,

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<v Speaker 1>I'm Lauren block Oban, and I'm Joe McCormick. And today

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<v Speaker 1>you're hungry. Well, actually I am hungry. I'm pretty much

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<v Speaker 1>always hungry. I too early today and now I am hungry.

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<v Speaker 1>It's my secret. I'm always hungry. So today for lunch,

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<v Speaker 1>I went to a local h what would you call it, shrine,

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<v Speaker 1>local local establishment called eats. It's a Southern cafeteria. It's

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<v Speaker 1>called Eats. The sign for which I always think. I

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<v Speaker 1>don't think anybody agrees with me, but to me, the

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<v Speaker 1>sign for Eats looks like it says ants, so I

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<v Speaker 1>call it iNTS. So, so lunch there can last upwards

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<v Speaker 1>of ten years. It really could. It could be in

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<v Speaker 1>your body that long. Uh, Joe. Joe decided to be

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<v Speaker 1>adventurous and try something that he doesn't normally try. Yeah. Well,

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<v Speaker 1>I didn't like my my new dishes as much today

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<v Speaker 1>as I like their their standard like jerk chicken, which

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<v Speaker 1>is pretty good. They're really known for it. But it

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<v Speaker 1>is definitely always worth being a little adventurous in the

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<v Speaker 1>kitchen trying something new. Yeah, and and another thing we

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<v Speaker 1>wanted to mention. The new thing is going to become

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<v Speaker 1>really important later on and it gets weird, y'all, but

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<v Speaker 1>before we get there. Uh, you know, the other thing

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<v Speaker 1>I wanted to mention is that the kitchen has for

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<v Speaker 1>a really long time been kind of a gateway to

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<v Speaker 1>technology in the home. H Yeah. Yeah, people are very

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<v Speaker 1>technologically adventurous in the kitchen as well as food wise. Yeah.

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<v Speaker 1>I think I even was looking around and the reason

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<v Speaker 1>why whenever c e S rolls around that used to

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<v Speaker 1>be known as the Consumer Electronic Showcase, but now it's

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<v Speaker 1>just c E S. Uh. There's always a huge number

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<v Speaker 1>of various alliances and inventions that our kitchen oriented, and

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<v Speaker 1>it's largely because when it comes to technology, we tend

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<v Speaker 1>to adopt it for the kitchen pretty early. People love

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<v Speaker 1>kitchen gadgets. Yeah, late night TV filled with the various

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<v Speaker 1>kitchen gadgets of questionable quality, many of which I own. Uh.

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<v Speaker 1>So I wanted to talk a little bit about how

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<v Speaker 1>the kitchen is kind of this this gateway to home

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<v Speaker 1>automation and programmable appliances before we get into the concept

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<v Speaker 1>of robot chefs and AI getting involved in our food,

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<v Speaker 1>just to kind of illustrate how it's been changing, even

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<v Speaker 1>uh just recently. Oh sure, we take all of these

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<v Speaker 1>automated kitchen devices very much for granted. These days, you know,

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<v Speaker 1>you're your coffee maker that you can program to go

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<v Speaker 1>off whenever you want coffee, uh, in anticipation of when

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<v Speaker 1>you're going to want coffee, but which is always. But

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<v Speaker 1>getting to this point has been kind of uckey. The

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<v Speaker 1>very first computer that was built for the kitchen was okay,

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<v Speaker 1>to be fair more of a marketing ploy than it

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<v Speaker 1>was a real product. But this was in nineteen sixty

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<v Speaker 1>nine and at the time even Jane Jetson's kitchen still

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<v Speaker 1>ran on punch cards. Uh. So to stir up publicity,

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<v Speaker 1>retailer Neiman Marcus paired up with technology innovator Honeywell to

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<v Speaker 1>promote a kitchen computer which would plan menus for you

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<v Speaker 1>based around a single main course. It also weighed about

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<v Speaker 1>a hundred pounds uh and was so large that it

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<v Speaker 1>came in the form of like a small kitchen island

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<v Speaker 1>with a cutting board and everything. Uh, it was it

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<v Speaker 1>was really a repackaged Honeywell three sixteen, which was a

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<v Speaker 1>sixteen bit mini computer. By mini computer, they meant smaller

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<v Speaker 1>than a room at the time, and and and these

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<v Speaker 1>things were commonly used in like commercial and industrial applications,

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<v Speaker 1>So it was it was so complex to use that

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<v Speaker 1>the come but he has offered a complimentary two week

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<v Speaker 1>programming course to potential buyers. Like it had it had

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<v Speaker 1>no screen, It was just like a flashing light display.

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<v Speaker 1>The communicated in binary code. So uh, only twenty were

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<v Speaker 1>ever produced, and those only after public interest was way

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<v Speaker 1>higher than they anticipated. It was basically it was like, hey,

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<v Speaker 1>talk about this thing that we might possibly do to

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<v Speaker 1>be fair Enow, this is an era where people were

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<v Speaker 1>really looking forward, like the home of the future, right,

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<v Speaker 1>this this idea of everything is going to be easier

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<v Speaker 1>from now on because it's all going to be automated.

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<v Speaker 1>This is still a story we're telling today, but it's

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<v Speaker 1>obviously taken a lot longer than what we anticipated. So

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<v Speaker 1>I'm curious if back in those days, I wanted one

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<v Speaker 1>of these miraculous machines to grace my kitchen, how much

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<v Speaker 1>might I be expected to pay for such a thing. Well,

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<v Speaker 1>it was priced at wow. Yes, but when you account

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<v Speaker 1>for inflation in today's dollars, that is worth sixty thousand,

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<v Speaker 1>nine hundred and twenty five So so for the price

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<v Speaker 1>of just a couple of automobiles, Yeah, it's it's unlikely

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<v Speaker 1>that anywhere ever sold. Wow. That's pretty amazing. But you know,

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<v Speaker 1>obviously that was not just the beginning and the end

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<v Speaker 1>of this this you know trend in trying to create

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<v Speaker 1>automated devices for the kitchen. Oh sure, it would take

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<v Speaker 1>the level of miniaturization and the level of Internet access

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<v Speaker 1>that came along in the late eighties and early nineties

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<v Speaker 1>to really kick off the creation of inexpensive and actually

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<v Speaker 1>marketable devices that do not talk to you in binary code.

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<v Speaker 1>The first touchscreen fridge, for example, debuted in from electric Lux,

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<v Speaker 1>and basically after that, we've been living in a in

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<v Speaker 1>a rush of kitchen tech. You know, I feel like

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<v Speaker 1>crowd fun ending websites are just chock full of kitchen

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<v Speaker 1>gadgets people are trying to fund, like immersion cookers, that

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<v Speaker 1>kind of thing. I mean, I remember seeing that, like

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<v Speaker 1>for suvied type approach. I've been seeing those crowdfunded for

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<v Speaker 1>a while, but all sorts of kitchen gadgets are up there.

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<v Speaker 1>And uh, I mean I think of like when you're

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<v Speaker 1>thinking about the the the history of automation in the kitchen,

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<v Speaker 1>things like dishwashers obviously spring to mine, and coffee coffee makers,

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<v Speaker 1>like we were saying earlier, and also things like bread makers.

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<v Speaker 1>I mean, I remember when bread makers really became a thing. Yeah,

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<v Speaker 1>my parents got one when I was a kid, and

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<v Speaker 1>I remember, I remember it being an extremely long, laborious

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<v Speaker 1>process to make, even with the bread makers. But if

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<v Speaker 1>you if you were doing something like putting the ingredients

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<v Speaker 1>in the morning and starting it off and then just

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<v Speaker 1>letting it go, then by evening you had a fresh

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<v Speaker 1>baked loaf of bread. The house smelled of bread. This

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<v Speaker 1>was a miracle machine as far as I was concerned,

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<v Speaker 1>because my mom makes amazing homemade bread, but because doing

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<v Speaker 1>it by hand is even more laborious than using a

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<v Speaker 1>bread maker, it was so infrequent that this went that

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<v Speaker 1>we actually got to have it more often, which in

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<v Speaker 1>my mind was amazing. Yeah. So some of the things

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<v Speaker 1>I wanted to mention before we get into the robots stuff,

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<v Speaker 1>just some some more examples of uh technology that's becoming

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<v Speaker 1>available now, stuff that that general automated cooking gadget. Yeah,

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<v Speaker 1>things that have debuted at c e S recently that

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<v Speaker 1>kind of stuff. One was the Rodi Matic. I love

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<v Speaker 1>the name already, but it's an automatic Rodi cooker. So

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<v Speaker 1>you can get like r O T I R O

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<v Speaker 1>T I h the Indian pancake type of thing. Yeah,

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<v Speaker 1>so you just load the ingredients. They have these different

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<v Speaker 1>canisters that hold the various ingredients so that they mixed

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<v Speaker 1>them in the proper proportions and and uh you then

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<v Speaker 1>said it and it cooks about one per minute. So uh,

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<v Speaker 1>if I had more room in my kitchen, I would

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<v Speaker 1>get one of these because I think that is amazing.

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<v Speaker 1>But I think my wife would kill me. I'm the

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<v Speaker 1>cook in our family, by the way, so to me, like,

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<v Speaker 1>these are the things that appeal to me, And then

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<v Speaker 1>I think I don't have physical space for it, so

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<v Speaker 1>it's hard for me to justify purchasing it. Um the

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<v Speaker 1>Smarter coffee maker. Uh, this is one of those things

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<v Speaker 1>that you you wouldn't really think you needed until you

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<v Speaker 1>see it, and then you think, but I don't understand

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<v Speaker 1>the appeal what's the deal. So the smarter coffee maker

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<v Speaker 1>goes beyond programming, like we're used to the programmable coffee

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<v Speaker 1>makers at this point. If you have one of those,

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<v Speaker 1>then you can you know, you load it up and

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<v Speaker 1>you say, all right, at at six thirty in the morning,

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<v Speaker 1>start brewing my cup of coffee. So that way I

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<v Speaker 1>have it as soon as I get up and come

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<v Speaker 1>downstairs or whatever. The smarter coffee maker goes beyond that.

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<v Speaker 1>You can actually access it through an app. So you

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<v Speaker 1>use your app to tell your coffee maker exactly how

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<v Speaker 1>much coffee you want to make, so if you want

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<v Speaker 1>a big cup of coffee, you say, use this much

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<v Speaker 1>water versus that much water. Um. It also will keep

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<v Speaker 1>track of how many beans are still in the coffee maker,

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<v Speaker 1>so when it gets low, you can reload it add

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<v Speaker 1>more beans to it. So uh, kind of an Internet

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<v Speaker 1>of things approach to making coffee. There was the x

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<v Speaker 1>y Z printing three D food printer which was shown

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<v Speaker 1>at c e S that was capable of using sweets

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<v Speaker 1>ort of cookie dough and printing it in different shapes.

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<v Speaker 1>So not quite the three D printer that makes a pizza,

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<v Speaker 1>but one that could make you know Christmas cookies if

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<v Speaker 1>you wanted or whatever shape cookies you wanted. Uh. So,

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<v Speaker 1>I don't know how many people would actually get one

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<v Speaker 1>of those. Again, like my immediate responses, I totally don't

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<v Speaker 1>need that, but I totally kind of want one. Uh

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<v Speaker 1>There was the Pico brew Zymatic, which is an automated

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<v Speaker 1>beer brewing device. It takes four four hours to brew

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<v Speaker 1>an unfermented beer. I looked I saw your note on this,

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<v Speaker 1>and I was like, an unfermented beer fermentation the point

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<v Speaker 1>of beer. Yeah, it is, no, So the unfermented beer

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<v Speaker 1>is not what you drink, and so it'll make this

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<v Speaker 1>and then you can ferment it and then you can

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<v Speaker 1>have beer. Because I was thinking what would that be like,

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<v Speaker 1>I'm sure it would be gross. I don't think they're

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<v Speaker 1>suggesting you drink it at this stage. En Fermented beer

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<v Speaker 1>is called wart wart with an o wart word. I

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<v Speaker 1>don't know how you say it. I guess it's just

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<v Speaker 1>we're saying like one of the crunts from Halo. I

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<v Speaker 1>don't know what you're talking about, not a Halo player anyway,

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<v Speaker 1>but it's this this sugary grain based liquid that becomes

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<v Speaker 1>beer through the process fermentation, Right, so this would be

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<v Speaker 1>something that would speed up that process and automated so

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<v Speaker 1>that you don't have to have the same level of

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<v Speaker 1>um you don't have to babysit it as much. Right,

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<v Speaker 1>that's the that's the big thing, until you get to

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<v Speaker 1>the fermentation stage, which obviously would go outside of this

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<v Speaker 1>this device. Yeah, I was reading a little bit about

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<v Speaker 1>it and it said that the main appeal of this

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<v Speaker 1>thing is if you want to be able to experiment

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<v Speaker 1>with a lot of different recipes with very precise measurements. Also,

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<v Speaker 1>it appeals to pete who live in a place where

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<v Speaker 1>they might not have a lot of space to do

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<v Speaker 1>this kind of stuff on their own. Uh So, people

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<v Speaker 1>who might live in an apartment or a townhouse where

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<v Speaker 1>they don't have like a big garage or something. It

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<v Speaker 1>was very appealing for those folks as well. Whirlpool went

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<v Speaker 1>bonkers at c S and showed off a fully interconnected

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<v Speaker 1>kitchen with all the different appliances able to talk to

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<v Speaker 1>all the other different appliances. It even included an interactive

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<v Speaker 1>backsplash so you could get like recipes printed on your

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<v Speaker 1>backsplash while you're working on stuff, and cook tops that

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<v Speaker 1>could actually link to your social media profiles. So if

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<v Speaker 1>you wanted, if you wanted to take the step out

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<v Speaker 1>of tweeting what it is you're having for dinner, Jonathan

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<v Speaker 1>Strickland is using medium high heat exactly. I can't say

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<v Speaker 1>that I immediately recognized the appeal, but it certainly was

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<v Speaker 1>built into it. People are very fond of, you know,

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<v Speaker 1>posting their dinner. That's true social media, that's true. And

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<v Speaker 1>you know, if you if you're doing that three times

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<v Speaker 1>day every day, it just wears out your type and thumb,

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<v Speaker 1>you know. I feel like people are more fond of

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<v Speaker 1>posting their brunch or lunch rather than dinner. Maybe I'm wrong.

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<v Speaker 1>I think it depends on where you're eating, if you're

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<v Speaker 1>eating at home, um like a weekend to brunch or lunch.

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<v Speaker 1>I'm sure there's their statistics out there for this big

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<v Speaker 1>data get back to us. Yeah. I think it probably

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<v Speaker 1>also would give you an indication of how well someone's

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<v Speaker 1>date is going based upon the number and frequency of

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<v Speaker 1>food related tweets you see from that person. Okay, Jonathan, Sorry,

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<v Speaker 1>everything you've said so far, I'm unimpressed. I want a

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<v Speaker 1>robot or cyborg type organism or machine that cooks for me. Well,

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<v Speaker 1>I have some good news for you, Joe. They're top people.

0:12:46.640 --> 0:12:48.640
<v Speaker 1>I always want to see top men because that's the raiders.

0:12:49.640 --> 0:12:52.240
<v Speaker 1>Come on, let's be fair. There are tough. In fact,

0:12:52.600 --> 0:12:55.440
<v Speaker 1>one of the people who is behind one of the

0:12:55.520 --> 0:12:58.520
<v Speaker 1>robots chefs I'm gonna talk about is an eighteen year

0:12:58.559 --> 0:13:02.520
<v Speaker 1>old lady and she really impressed me because I got

0:13:02.600 --> 0:13:05.000
<v Speaker 1>to meet her in person on an airplane on the

0:13:05.000 --> 0:13:09.720
<v Speaker 1>way to see es. But so, why don't we have

0:13:09.960 --> 0:13:14.280
<v Speaker 1>robot cooks? Well, I mean that's that could be asked

0:13:14.320 --> 0:13:18.240
<v Speaker 1>about almost anything where. Why don't we have robot butler's. Yeah, well,

0:13:18.240 --> 0:13:20.240
<v Speaker 1>why don't we? I mean, that's a good question, and

0:13:20.320 --> 0:13:23.000
<v Speaker 1>the answer is, actually, I think fairly similar because these

0:13:23.080 --> 0:13:28.400
<v Speaker 1>jobs require all kinds of versatility, of movement and recognition,

0:13:28.640 --> 0:13:33.040
<v Speaker 1>you know, multiple different types of artificial intelligence converging on

0:13:33.080 --> 0:13:36.480
<v Speaker 1>a task. That can become pretty intuitive to us. But

0:13:36.600 --> 0:13:39.640
<v Speaker 1>think about all the different types of AI it needs.

0:13:39.720 --> 0:13:44.360
<v Speaker 1>It needs spatial awareness and manipulating objects and visually recognizing

0:13:44.440 --> 0:13:48.360
<v Speaker 1>things and understanding what tastes are. I mean a lot

0:13:48.400 --> 0:13:53.240
<v Speaker 1>of manual dexterity. Yeah, yeah, it is incredibly complicated, but

0:13:53.320 --> 0:13:57.080
<v Speaker 1>that hasn't stopped various people from trying to create types

0:13:57.120 --> 0:14:00.280
<v Speaker 1>of robots that would help with cooking. So you know,

0:14:00.280 --> 0:14:03.400
<v Speaker 1>we've already talked about some automated devices that are you

0:14:03.440 --> 0:14:06.360
<v Speaker 1>could think of them almost like robots. Uh. And they

0:14:06.400 --> 0:14:09.920
<v Speaker 1>certainly have some functions that are are similar to robotic functions,

0:14:10.240 --> 0:14:14.520
<v Speaker 1>but they're very very specific in there the tasks they

0:14:14.520 --> 0:14:16.960
<v Speaker 1>can do, which not a big surprise, right, because when

0:14:16.960 --> 0:14:19.440
<v Speaker 1>we talk about robots, that's that tends to be the case.

0:14:19.480 --> 0:14:22.240
<v Speaker 1>We talk about people designing robots for very specific tasks.

0:14:22.480 --> 0:14:25.680
<v Speaker 1>That's way easier than designing a robot for general tasks.

0:14:25.920 --> 0:14:28.680
<v Speaker 1>So one of those companies is called a Serenity Kitchen.

0:14:28.760 --> 0:14:34.240
<v Speaker 1>Serenity is spelled s e r e n e t I. Uh. Yeah,

0:14:34.560 --> 0:14:37.560
<v Speaker 1>I keep on and calling calling it a sereneti kitgenimate

0:14:37.640 --> 0:14:40.320
<v Speaker 1>Serenity Kitchen. This is this is the group that I

0:14:40.360 --> 0:14:42.960
<v Speaker 1>got to meet on an airplane trip to c e S.

0:14:43.240 --> 0:14:45.240
<v Speaker 1>I was flying in the very back of a plane

0:14:45.520 --> 0:14:48.240
<v Speaker 1>and the road immediately ahead of me were the people

0:14:48.280 --> 0:14:52.920
<v Speaker 1>from Serenity Kitchen, which was three young students, uh, one

0:14:52.920 --> 0:14:55.720
<v Speaker 1>of whom was the person who came up with the idea.

0:14:55.800 --> 0:15:00.120
<v Speaker 1>She was the brains behind the concept. And it is

0:15:00.160 --> 0:15:04.120
<v Speaker 1>a brilliant concept. So the basic idea was that you

0:15:04.200 --> 0:15:08.440
<v Speaker 1>have a essentially a cooking surface and a robotic arm

0:15:08.640 --> 0:15:11.560
<v Speaker 1>mounted above the cooking surface, and the robotic arm could

0:15:11.560 --> 0:15:14.960
<v Speaker 1>create a stirring motion to stir whatever was in a

0:15:15.000 --> 0:15:17.840
<v Speaker 1>pan that's on top of that cooking service. So you

0:15:17.840 --> 0:15:21.000
<v Speaker 1>would put ingredients into the pan, the robot arm would

0:15:21.000 --> 0:15:23.800
<v Speaker 1>continuously stir it until the food is done, and that

0:15:23.840 --> 0:15:27.920
<v Speaker 1>way you wouldn't have to babysit stir. Yeah. Yeah, oh

0:15:27.960 --> 0:15:31.800
<v Speaker 1>that's just just the application for making a ru Yeah, exactly, yeah,

0:15:31.920 --> 0:15:34.880
<v Speaker 1>something like that. Now they were looking they were actually

0:15:34.920 --> 0:15:37.400
<v Speaker 1>using it to show off things like pad tai. Uh.

0:15:37.440 --> 0:15:41.160
<v Speaker 1>They were showing a lot of Eastern dishes and they said, well,

0:15:41.160 --> 0:15:43.440
<v Speaker 1>we also have applied this for Western dishes like a

0:15:43.600 --> 0:15:45.920
<v Speaker 1>you know, if you want to make a spaghetti or whatever.

0:15:45.960 --> 0:15:49.440
<v Speaker 1>And they said, really, the first target audience, we're looking

0:15:49.440 --> 0:15:52.560
<v Speaker 1>at our college students, people who would maybe go and

0:15:52.640 --> 0:15:56.640
<v Speaker 1>buy a cheap microwave dinner, which typically doesn't taste very

0:15:56.640 --> 0:15:59.560
<v Speaker 1>good and usually isn't very good for you. So what

0:15:59.640 --> 0:16:03.120
<v Speaker 1>if you would create a device that would make uh,

0:16:03.160 --> 0:16:06.600
<v Speaker 1>the the healthy food for you. You You know, you're just

0:16:06.680 --> 0:16:09.040
<v Speaker 1>dumped the ingredients into whatever and it would do the

0:16:09.040 --> 0:16:11.760
<v Speaker 1>rest of the work because college students are lazy, and

0:16:11.800 --> 0:16:14.680
<v Speaker 1>it would allow them to to not have to put

0:16:14.720 --> 0:16:16.200
<v Speaker 1>forth that kind of effort and they would get the

0:16:16.240 --> 0:16:20.160
<v Speaker 1>benefit of a healthy dinner h cooked for them. And

0:16:20.600 --> 0:16:24.920
<v Speaker 1>the brilliant part of their approach was that their plan

0:16:25.120 --> 0:16:29.440
<v Speaker 1>wasn't to sell expensive robot cooks. Uh. They were actually

0:16:29.480 --> 0:16:31.360
<v Speaker 1>looking at using the robot cook is sort of a

0:16:31.360 --> 0:16:34.920
<v Speaker 1>lost leader the same way that video game consoles come out.

0:16:35.040 --> 0:16:37.920
<v Speaker 1>That's immediately what I thought of, like that they you know,

0:16:37.960 --> 0:16:40.160
<v Speaker 1>they're not making a lot of money selling you a

0:16:40.200 --> 0:16:42.880
<v Speaker 1>PlayStation for something. They're hoping that you're they're going to

0:16:43.000 --> 0:16:45.800
<v Speaker 1>make it back and you're buying games, right, so instead

0:16:45.840 --> 0:16:49.600
<v Speaker 1>of games, we're talking about meals. So they actually compared

0:16:49.640 --> 0:16:52.080
<v Speaker 1>it to curig, which makes sense, the coffee maker that

0:16:52.160 --> 0:16:54.440
<v Speaker 1>uses the little pods. They said, well, you know, you

0:16:54.480 --> 0:16:58.560
<v Speaker 1>could buy this this device, Uh, if you wanted to

0:16:58.560 --> 0:17:01.000
<v Speaker 1>buy it out right, you could, but would cost somewhere

0:17:01.040 --> 0:17:04.720
<v Speaker 1>around the neighborhood of five nine U s dollars. It's

0:17:04.760 --> 0:17:07.760
<v Speaker 1>pretty expensive, you know for something that would not be

0:17:08.240 --> 0:17:11.960
<v Speaker 1>a direct replacement for a large appliance in your kitchen.

0:17:12.520 --> 0:17:16.440
<v Speaker 1>But they had a subscription plan where you can subscribe

0:17:16.800 --> 0:17:19.479
<v Speaker 1>to a service that would send you the ingredients for

0:17:19.680 --> 0:17:22.560
<v Speaker 1>ten meals a month for three years. So it's a

0:17:22.600 --> 0:17:25.840
<v Speaker 1>three year commitment, and then the robot would cost just

0:17:26.119 --> 0:17:29.400
<v Speaker 1>ninety nine dollars. The subscription would be fifty dollars a month,

0:17:29.640 --> 0:17:31.120
<v Speaker 1>and that sounds like a lot at first, but then

0:17:31.119 --> 0:17:33.200
<v Speaker 1>when you figure weight, it's ten meals in a month.

0:17:33.280 --> 0:17:36.720
<v Speaker 1>That's five bucks a meal. That's a fast food meal

0:17:36.920 --> 0:17:40.640
<v Speaker 1>right there, but you're getting fresh ingredients. So the idea

0:17:40.720 --> 0:17:42.800
<v Speaker 1>being that, uh, you know, this would be a way

0:17:42.840 --> 0:17:45.720
<v Speaker 1>to get people locked into a system where they would

0:17:45.760 --> 0:17:48.360
<v Speaker 1>get the delivery ten meals a month. They'd be able

0:17:48.400 --> 0:17:50.120
<v Speaker 1>to use this. They could use it for other things too,

0:17:50.600 --> 0:17:53.040
<v Speaker 1>if they had the ingredients on hand, but these would

0:17:53.080 --> 0:17:55.639
<v Speaker 1>be things that robot would be specifically programmed to handle.

0:17:56.080 --> 0:17:59.800
<v Speaker 1>So you put the ingredients in either directly in the

0:17:59.800 --> 0:18:02.320
<v Speaker 1>p in or their actual plan has a robot that

0:18:02.359 --> 0:18:06.159
<v Speaker 1>would have trays and you put the ingredients into the

0:18:06.160 --> 0:18:09.920
<v Speaker 1>the individual trays according to the directions of the recipe,

0:18:10.440 --> 0:18:13.200
<v Speaker 1>and then the robot would add the ingredients as needed

0:18:13.200 --> 0:18:15.920
<v Speaker 1>in the process of making that. After two minutes of

0:18:15.920 --> 0:18:18.879
<v Speaker 1>sauteing the onions, then you put in the carrots, and

0:18:18.880 --> 0:18:21.440
<v Speaker 1>then you put in the meat and then right exactly. Yeah,

0:18:21.520 --> 0:18:24.159
<v Speaker 1>So that way you you cook the various ingredients the

0:18:24.280 --> 0:18:27.080
<v Speaker 1>right amount of time so that it's the right consistency, texture,

0:18:27.840 --> 0:18:31.320
<v Speaker 1>nutritional value, all that kind of stuff. And I thought

0:18:31.359 --> 0:18:34.639
<v Speaker 1>this was brilliant. I thought that their business plan really

0:18:34.680 --> 0:18:37.879
<v Speaker 1>appealed to me because you could tell they got it.

0:18:37.880 --> 0:18:41.720
<v Speaker 1>They it was a very uh, innovative approach, not just hey,

0:18:41.720 --> 0:18:44.280
<v Speaker 1>we'll sell them the equipment, more like, hey, we'll sell

0:18:44.280 --> 0:18:47.440
<v Speaker 1>the equipment at a big discount, but will really make

0:18:47.480 --> 0:18:50.120
<v Speaker 1>the money on the food part. And as long as

0:18:50.520 --> 0:18:52.639
<v Speaker 1>the food is good and the robot does what it's

0:18:52.680 --> 0:18:56.600
<v Speaker 1>supposed to do, then that's a great business plan. So

0:18:57.200 --> 0:19:00.000
<v Speaker 1>if you look at the images of what it actually

0:19:00.040 --> 0:19:02.080
<v Speaker 1>the working model they brought to see, yes, what it

0:19:02.080 --> 0:19:04.680
<v Speaker 1>looked like, and then you look at the mock ups

0:19:04.760 --> 0:19:07.359
<v Speaker 1>of what they wanted to look like when it's an

0:19:07.400 --> 0:19:10.680
<v Speaker 1>actual consumer product, it's miles apart. But that makes sense

0:19:10.680 --> 0:19:15.160
<v Speaker 1>because it's a prototype versus what would be the finished product. Uh.

0:19:15.200 --> 0:19:17.639
<v Speaker 1>But you know, they did launch an indie go go campaign,

0:19:17.680 --> 0:19:19.640
<v Speaker 1>which they ended early. I think they ended it after

0:19:19.720 --> 0:19:22.080
<v Speaker 1>four days. Uh, And the reason they did was They

0:19:22.080 --> 0:19:24.359
<v Speaker 1>said they got a lot of feedback that they thought

0:19:24.440 --> 0:19:27.120
<v Speaker 1>was helpful and they wanted to incorporate in the design,

0:19:27.640 --> 0:19:30.800
<v Speaker 1>but they didn't feel like continuing with the indie go

0:19:30.880 --> 0:19:33.520
<v Speaker 1>go campaign would reflect that. So they ended in and

0:19:33.600 --> 0:19:35.960
<v Speaker 1>said we're gonna come back in a few months with

0:19:36.040 --> 0:19:39.480
<v Speaker 1>a new design based upon the feedback we're receiving. Um.

0:19:39.480 --> 0:19:41.440
<v Speaker 1>They also were talking about that it would be great

0:19:41.440 --> 0:19:43.360
<v Speaker 1>in the future if the robot could do more than

0:19:43.400 --> 0:19:46.920
<v Speaker 1>just you know, essentially it's just adding ingredients and stirring um.

0:19:46.960 --> 0:19:49.400
<v Speaker 1>If it could do more than that, like do more

0:19:49.440 --> 0:19:57.000
<v Speaker 1>of the prep work or or you know work, or

0:19:57.040 --> 0:19:59.680
<v Speaker 1>maybe maybe even something a little more simple, like being

0:19:59.720 --> 0:20:03.200
<v Speaker 1>able flip over an omelet or something. Because as opposed

0:20:03.200 --> 0:20:06.760
<v Speaker 1>to just stirring um. So that was really interesting to me.

0:20:06.760 --> 0:20:08.520
<v Speaker 1>And like I said, I was really impressed by their

0:20:08.600 --> 0:20:11.600
<v Speaker 1>their ingenuity, uh and really their business plan. It was

0:20:11.600 --> 0:20:14.800
<v Speaker 1>beyond just the technology, which was already interesting, but the

0:20:14.840 --> 0:20:18.560
<v Speaker 1>idea that they were like, well, convincing people to buy

0:20:18.560 --> 0:20:21.720
<v Speaker 1>an expensive robot is kind of a no win approach,

0:20:21.840 --> 0:20:25.720
<v Speaker 1>Like it's you know, unless you are just you know,

0:20:26.320 --> 0:20:29.240
<v Speaker 1>determined to go after a very niche audience, you're not

0:20:29.320 --> 0:20:31.879
<v Speaker 1>really gonna make a lot of sales that way. But

0:20:31.960 --> 0:20:34.320
<v Speaker 1>then we can look at a different one, a different

0:20:34.320 --> 0:20:38.520
<v Speaker 1>approach that doesn't really concern itself too much with making

0:20:38.640 --> 0:20:42.159
<v Speaker 1>affordable robots. Yeah. Yeah, let's let's say that that we

0:20:42.240 --> 0:20:44.320
<v Speaker 1>are still or that Joe at the very least is

0:20:44.359 --> 0:20:47.879
<v Speaker 1>still deeply unimpressed like this entire plan. Like he he

0:20:47.960 --> 0:20:50.240
<v Speaker 1>needs something that's going to do way more work than

0:20:50.320 --> 0:20:53.720
<v Speaker 1>just stirring the food. And he says, you know those

0:20:53.800 --> 0:20:56.119
<v Speaker 1>kids over at Sertainity, they're they're great and all, but

0:20:56.320 --> 0:20:59.879
<v Speaker 1>I need I need a heavy duty robo chef, not

0:21:00.040 --> 0:21:02.439
<v Speaker 1>just a cook. I need a chef. I want arms

0:21:02.520 --> 0:21:06.119
<v Speaker 1>that operate on a rail above the stove encounter. Well,

0:21:06.160 --> 0:21:10.520
<v Speaker 1>I have news for you, my friend, Moly Robotics. It's

0:21:10.520 --> 0:21:13.200
<v Speaker 1>a London based company that created a robo chef. It's

0:21:13.280 --> 0:21:15.680
<v Speaker 1>more advanced than the cookie concept. Cookie, by the way,

0:21:15.720 --> 0:21:18.280
<v Speaker 1>is the name of the robot from Serenity Kitchen. Uh

0:21:18.440 --> 0:21:22.040
<v Speaker 1>so it actually incorporates learning algorithms, or at least the

0:21:22.200 --> 0:21:26.119
<v Speaker 1>end product is supposed to, meaning that you can show

0:21:26.200 --> 0:21:28.720
<v Speaker 1>the robot how to make something and then it will

0:21:28.760 --> 0:21:31.440
<v Speaker 1>then be able to make it. You know, repeat that

0:21:31.440 --> 0:21:34.160
<v Speaker 1>that process and make that thing for you in the future. Yeah,

0:21:34.200 --> 0:21:37.800
<v Speaker 1>so I watched a demonstration video of this robot trying.

0:21:37.880 --> 0:21:41.560
<v Speaker 1>I think it was making some crab bisk. I'm not positive,

0:21:41.640 --> 0:21:44.399
<v Speaker 1>but that's the impression I got because they mentioned crab

0:21:44.440 --> 0:21:47.320
<v Speaker 1>bisk and the soup looked kind of bisky. It took

0:21:47.359 --> 0:21:51.560
<v Speaker 1>a fresh crab and cracked it over the pot, crack

0:21:51.640 --> 0:21:55.720
<v Speaker 1>into fresh crab exactly. Uh no, but it was. It

0:21:55.800 --> 0:21:58.000
<v Speaker 1>was kind of like it was a pair of arms

0:21:58.359 --> 0:22:01.560
<v Speaker 1>that are hooked to a ray all over the stove

0:22:01.640 --> 0:22:07.320
<v Speaker 1>area and then yeah, moving back and forth, grabbing ingredients,

0:22:07.359 --> 0:22:10.320
<v Speaker 1>pouring them into the pot, stirring them up, adding things.

0:22:11.600 --> 0:22:13.000
<v Speaker 1>But but but how does it learn how to do

0:22:13.040 --> 0:22:16.680
<v Speaker 1>all of this? Well, the funny thing is it doesn't

0:22:16.720 --> 0:22:20.280
<v Speaker 1>have any idea what the heck it's doing, so it doesn't,

0:22:20.400 --> 0:22:22.760
<v Speaker 1>you know, when it grabs the olive oil and adds

0:22:22.840 --> 0:22:25.000
<v Speaker 1>that to the pot. If you were to put a

0:22:25.040 --> 0:22:28.080
<v Speaker 1>bottle of arsenic where the olive oil is, it would

0:22:28.160 --> 0:22:30.959
<v Speaker 1>just add that all the same. It learns based on

0:22:32.400 --> 0:22:38.440
<v Speaker 1>basically spatial memory from observing a human do the same actions,

0:22:38.480 --> 0:22:40.879
<v Speaker 1>which means that you have to place the ingredients in

0:22:40.920 --> 0:22:44.080
<v Speaker 1>the same spots as when you taught the robot how

0:22:44.119 --> 0:22:46.520
<v Speaker 1>to do this thing. Sure, sure, And and it could

0:22:46.560 --> 0:22:50.960
<v Speaker 1>be slightly less catastrophic than arsenic its olive oil. It

0:22:51.119 --> 0:22:56.119
<v Speaker 1>could be as vinegar that would make the taste of

0:22:56.160 --> 0:22:59.399
<v Speaker 1>the dish quite different. Y. Yeah, and also from the

0:22:59.400 --> 0:23:02.840
<v Speaker 1>cooking pattern, Yes, the ingredients, the ingredients you would use,

0:23:02.840 --> 0:23:06.040
<v Speaker 1>you might put in very special containers that are specific

0:23:06.080 --> 0:23:10.359
<v Speaker 1>sizes and shapes, and that would allow the robot to know,

0:23:10.440 --> 0:23:14.400
<v Speaker 1>all right, the thing that's in the round container that's

0:23:14.480 --> 0:23:18.160
<v Speaker 1>three inches tall goes in next, then the squarish container

0:23:18.240 --> 0:23:20.840
<v Speaker 1>that's four inches tall that gets at it after that.

0:23:21.119 --> 0:23:23.600
<v Speaker 1>Like it has it's like a program. It follows a

0:23:23.640 --> 0:23:26.639
<v Speaker 1>specific set of steps, and you can show it what

0:23:26.760 --> 0:23:29.240
<v Speaker 1>steps it has to follow. But you then have to

0:23:29.240 --> 0:23:31.800
<v Speaker 1>set everything up exactly the same way so it can

0:23:32.000 --> 0:23:35.679
<v Speaker 1>follow those steps. It can't just take raw ingredients that

0:23:35.720 --> 0:23:39.359
<v Speaker 1>are piled in on the kitchen counter and then chop

0:23:39.440 --> 0:23:41.000
<v Speaker 1>them up figure out what to do with them. Yeah.

0:23:41.000 --> 0:23:42.920
<v Speaker 1>But but it's still pretty cool because once you show

0:23:42.960 --> 0:23:46.680
<v Speaker 1>it how to create a recipe, it can it can

0:23:46.720 --> 0:23:50.240
<v Speaker 1>remember that forever, and it can create that recipe without

0:23:50.320 --> 0:23:53.159
<v Speaker 1>any variation. Like it could be perfectly consistent, so you

0:23:53.160 --> 0:23:56.000
<v Speaker 1>can see how something like this would be incredibly useful

0:23:56.040 --> 0:23:58.560
<v Speaker 1>in a restaurant. And yeah, where your goal is to

0:23:58.640 --> 0:24:00.639
<v Speaker 1>do it the same every time. Want you want the

0:24:00.680 --> 0:24:02.800
<v Speaker 1>dishes to be as consistent as possible. You don't want

0:24:02.800 --> 0:24:04.720
<v Speaker 1>there to be a lot of variation unless there's, you know,

0:24:04.800 --> 0:24:07.879
<v Speaker 1>a request from a customer saying, you know, I'm allergic

0:24:07.920 --> 0:24:09.840
<v Speaker 1>to such and such. Don't put that. Please replace my

0:24:09.880 --> 0:24:14.240
<v Speaker 1>olive oil with yeah when you're you know that person.

0:24:14.760 --> 0:24:19.160
<v Speaker 1>Uh so the oh man, what a great kurdled biscuit.

0:24:21.160 --> 0:24:23.960
<v Speaker 1>So one of the big challenges they had was creating,

0:24:24.320 --> 0:24:28.280
<v Speaker 1>uh hands that would mimic the the utility of a

0:24:28.359 --> 0:24:33.240
<v Speaker 1>human hand because they're pretty complex. That's still a robotics problem. Yeah,

0:24:33.280 --> 0:24:35.399
<v Speaker 1>it's tough, and they did a pretty good job. They

0:24:35.440 --> 0:24:37.960
<v Speaker 1>said that they had almost all the same degrees of

0:24:38.040 --> 0:24:40.240
<v Speaker 1>freedom of movement that a human hand has. They said,

0:24:40.240 --> 0:24:42.240
<v Speaker 1>the really the only part of a human hand that

0:24:42.240 --> 0:24:44.560
<v Speaker 1>they weren't they didn't replicate for the purposes of this

0:24:44.640 --> 0:24:49.080
<v Speaker 1>robot was the ability to kind of not dislocate, but

0:24:49.080 --> 0:24:53.120
<v Speaker 1>but to shift your thumb over and like they that one,

0:24:53.160 --> 0:24:55.640
<v Speaker 1>they said, wasn't necessary for them to be able to

0:24:55.680 --> 0:24:57.840
<v Speaker 1>hold onto the various implements, and they used the exact

0:24:57.920 --> 0:25:01.199
<v Speaker 1>same type of kitchen utensils that we humans would use,

0:25:01.240 --> 0:25:04.600
<v Speaker 1>like a ladle or spoon or whatever. Uh. Those can

0:25:04.600 --> 0:25:07.400
<v Speaker 1>be hung up and the robot can can recognize which

0:25:07.400 --> 0:25:09.720
<v Speaker 1>ones are which and grab the appropriate one at any

0:25:09.840 --> 0:25:13.159
<v Speaker 1>given point of the recipe. Um. They said, it was

0:25:13.200 --> 0:25:17.560
<v Speaker 1>really tough. I'm sorry, I'm just imagining a scene in

0:25:17.600 --> 0:25:20.000
<v Speaker 1>a movie where somebody has one of these in their

0:25:20.040 --> 0:25:23.080
<v Speaker 1>house and they get murdered because somebody comes in and

0:25:23.119 --> 0:25:27.320
<v Speaker 1>teaches the robot how to stay. Let's hope that that

0:25:27.320 --> 0:25:29.480
<v Speaker 1>would be against its product, Like I would say, I'm sorry,

0:25:29.480 --> 0:25:35.119
<v Speaker 1>that's against my my law of cooks robotics division. Um.

0:25:35.280 --> 0:25:40.040
<v Speaker 1>So it also can't send some of the more delicate

0:25:40.240 --> 0:25:43.600
<v Speaker 1>processes that are involved in cooking things that have some

0:25:43.680 --> 0:25:46.640
<v Speaker 1>variability to them. And the example that they gave, which

0:25:46.680 --> 0:25:49.200
<v Speaker 1>I thought was a very uh it was a great example,

0:25:49.280 --> 0:25:51.720
<v Speaker 1>was if you want to beat eggs so that they

0:25:51.720 --> 0:25:55.320
<v Speaker 1>start to peek, Yeah, egg whites, Like if you're trying

0:25:55.359 --> 0:25:57.119
<v Speaker 1>to like you're trying to get to a meringue or

0:25:57.160 --> 0:26:00.280
<v Speaker 1>something like that, and you're beating these egg whites, it

0:26:00.320 --> 0:26:03.479
<v Speaker 1>doesn't Sometimes it takes a little longer than other times,

0:26:03.480 --> 0:26:06.960
<v Speaker 1>Like it can depend upon the you know, whatever eggs

0:26:06.960 --> 0:26:09.040
<v Speaker 1>you've got at whatever time of year. Yeah, that the

0:26:09.080 --> 0:26:11.439
<v Speaker 1>temperature of the bowl and of the eggs, and the

0:26:11.600 --> 0:26:14.720
<v Speaker 1>humidity in the room. Yeah, So these these variables may

0:26:14.720 --> 0:26:18.439
<v Speaker 1>be difficult for a robot to sense initially. So that

0:26:18.440 --> 0:26:22.240
<v Speaker 1>would mean the robot would not necessarily have the the

0:26:22.280 --> 0:26:24.680
<v Speaker 1>ability to predict how long it would take to get

0:26:24.720 --> 0:26:27.119
<v Speaker 1>to the right point. So for something like that, you

0:26:27.119 --> 0:26:29.639
<v Speaker 1>would need to build in other elements for the robot

0:26:29.680 --> 0:26:32.760
<v Speaker 1>to be able to sense when it needed to stop,

0:26:32.920 --> 0:26:37.119
<v Speaker 1>like right, like um, like the resistance of the whisk

0:26:37.240 --> 0:26:40.040
<v Speaker 1>going through. Yeah, or it may it may be as

0:26:40.080 --> 0:26:44.040
<v Speaker 1>simple as some stereoscopic cameras that can get a good visual,

0:26:44.720 --> 0:26:48.360
<v Speaker 1>uh idea of what's going on, or the resistance sensors.

0:26:48.400 --> 0:26:51.160
<v Speaker 1>It might be a combination. Probably would be to try

0:26:51.160 --> 0:26:54.719
<v Speaker 1>and increase the accuracy as much as possible, although peaks

0:26:54.760 --> 0:26:57.600
<v Speaker 1>are stiff. You have to you know, you have to

0:26:57.640 --> 0:27:00.879
<v Speaker 1>balance the accuracy versus the cost that it adds to

0:27:00.920 --> 0:27:03.800
<v Speaker 1>the overall device obviously. But yeah, that's one of those

0:27:03.800 --> 0:27:06.679
<v Speaker 1>things where that would they hope to have that built

0:27:06.680 --> 0:27:10.600
<v Speaker 1>into future versions of this. The BBC covered this robot

0:27:10.640 --> 0:27:12.320
<v Speaker 1>Chef in a story and mentioned that it was being

0:27:12.359 --> 0:27:16.400
<v Speaker 1>trained by Tim Anderson. It was a BBC Master Chef

0:27:16.480 --> 0:27:18.520
<v Speaker 1>Champion in two thousand eleven. I want to be a

0:27:18.520 --> 0:27:22.760
<v Speaker 1>cooking robot? Yeah, yeah, would you learn from Tim Anderson? Yeah?

0:27:23.600 --> 0:27:25.520
<v Speaker 1>I keep wanting to call him master Chief instead of

0:27:25.560 --> 0:27:28.000
<v Speaker 1>master Chef. I see master Chef and I'm like, he's

0:27:28.040 --> 0:27:32.280
<v Speaker 1>master Chief. Uh. This is the most halo centric cooking

0:27:32.320 --> 0:27:35.520
<v Speaker 1>episode that has ever been recorded by anyone war war.

0:27:36.080 --> 0:27:39.640
<v Speaker 1>So ideally you would end up getting this this very

0:27:39.640 --> 0:27:42.440
<v Speaker 1>consistent results. So it might not be the most exciting

0:27:42.480 --> 0:27:46.479
<v Speaker 1>thing for a home chef, like a home cook, unless

0:27:46.480 --> 0:27:48.680
<v Speaker 1>you just you know, as you know, there's this one

0:27:48.720 --> 0:27:51.600
<v Speaker 1>dish that you love and you love you know how

0:27:51.680 --> 0:27:54.840
<v Speaker 1>it's made every time, then obviously that would be desirable

0:27:54.840 --> 0:27:57.679
<v Speaker 1>to you. But some people say, well it kind of

0:27:57.680 --> 0:28:00.639
<v Speaker 1>takes the experimentation part out of cooking. Um, And so

0:28:00.720 --> 0:28:02.919
<v Speaker 1>it really depends upon your approach to cooking in the

0:28:02.920 --> 0:28:05.200
<v Speaker 1>first place. Some people take a more out and brown

0:28:05.320 --> 0:28:09.080
<v Speaker 1>kind of chemist approach and physics based approach, and some

0:28:09.119 --> 0:28:12.159
<v Speaker 1>people are a little more we call them bakers. Some

0:28:12.160 --> 0:28:14.960
<v Speaker 1>people are a little more loosey goosey. We call them

0:28:15.000 --> 0:28:17.960
<v Speaker 1>me and uh, yeah, I am not. I don't bake

0:28:18.160 --> 0:28:20.600
<v Speaker 1>well because I'm a little too loosey goosey with the

0:28:20.680 --> 0:28:23.520
<v Speaker 1>rules and that does not work in baking. Do you

0:28:23.600 --> 0:28:26.880
<v Speaker 1>not own a scale? I do own a scale, Actually

0:28:27.560 --> 0:28:30.399
<v Speaker 1>I don't use it. Some people were really bad at

0:28:30.440 --> 0:28:33.680
<v Speaker 1>potions or chemistry, depending on which universe you live in,

0:28:33.760 --> 0:28:38.120
<v Speaker 1>and uh and and and some you know, yeah, I was.

0:28:38.200 --> 0:28:40.120
<v Speaker 1>I was. That was always my strong point. I am,

0:28:40.400 --> 0:28:44.720
<v Speaker 1>in fact baker great in charms, but terrible in potions. Uh.

0:28:44.800 --> 0:28:47.280
<v Speaker 1>So they want to develop this further. They want to

0:28:47.320 --> 0:28:51.800
<v Speaker 1>make the finished consumer version smaller. It's a larger form

0:28:51.840 --> 0:28:53.800
<v Speaker 1>factor than they would prefer right now to try and

0:28:53.840 --> 0:28:56.120
<v Speaker 1>put on a consumer market. And they also want to

0:28:56.160 --> 0:29:00.200
<v Speaker 1>incorporate other things in the robot itself, like a ball

0:29:00.240 --> 0:29:04.240
<v Speaker 1>refrigerator and a dishwasher, so would actually replace certain things

0:29:04.240 --> 0:29:09.920
<v Speaker 1>in your home and therefore maybe justify the incredibly expensive

0:29:10.160 --> 0:29:13.920
<v Speaker 1>price tag. So the BBC says the estimated price will

0:29:13.920 --> 0:29:17.920
<v Speaker 1>be around ten thousand pounds or fifteen thousand, six hundred

0:29:17.960 --> 0:29:22.920
<v Speaker 1>dollars US for the for the cheap version. The expensive

0:29:23.000 --> 0:29:27.880
<v Speaker 1>version would be closer to dollars more expensive than the

0:29:27.880 --> 0:29:30.760
<v Speaker 1>Honeywell commutery. Yeah, I was about to say, we're getting

0:29:30.840 --> 0:29:34.960
<v Speaker 1>right back into Honeywell territory. That's exciting. Yeah. So this

0:29:35.000 --> 0:29:38.760
<v Speaker 1>would not necessarily be something your average home would would

0:29:38.880 --> 0:29:42.920
<v Speaker 1>have uh incorporated into the kitchen. I mean, kitchen appliances

0:29:42.960 --> 0:29:47.880
<v Speaker 1>are expensive. But I will start thinking about going to

0:29:47.920 --> 0:29:50.760
<v Speaker 1>the bank and getting alone for this. If this thing

0:29:50.840 --> 0:29:56.680
<v Speaker 1>can deveye shrimp and pitch cherries throwing, throwing a cherry

0:29:56.680 --> 0:30:01.560
<v Speaker 1>pitter and an in, I feel your pain. I certainly would.

0:30:01.680 --> 0:30:04.400
<v Speaker 1>You know, for me, it's like the idea of cleaning fish.

0:30:04.480 --> 0:30:07.400
<v Speaker 1>I can't do that, but I would buy a machine

0:30:07.440 --> 0:30:10.440
<v Speaker 1>that could um. So one of the things we also

0:30:10.440 --> 0:30:12.920
<v Speaker 1>wanted to mention was that, you know, robots are one thing, right,

0:30:13.000 --> 0:30:17.160
<v Speaker 1>the automation of these tasks, that would free up a

0:30:17.160 --> 0:30:19.160
<v Speaker 1>lot of time for us, so we could do something else.

0:30:19.560 --> 0:30:21.880
<v Speaker 1>And for those of us who you know, we might

0:30:21.960 --> 0:30:24.479
<v Speaker 1>enjoy cooking, but there's certain parts of cooking that we

0:30:24.520 --> 0:30:27.040
<v Speaker 1>find tedious. We could give that over to the machines.

0:30:27.600 --> 0:30:31.760
<v Speaker 1>But what about going a step further and having artificial

0:30:31.800 --> 0:30:35.360
<v Speaker 1>intelligence inform the types of foods we prepare in the

0:30:35.400 --> 0:30:37.920
<v Speaker 1>first place. So there, you mean the capacity of a

0:30:38.000 --> 0:30:40.280
<v Speaker 1>chef not to do the physical act of cooking, but

0:30:40.360 --> 0:30:45.360
<v Speaker 1>to come up with recipes something vent dishes exactly, to innovate,

0:30:45.560 --> 0:30:48.520
<v Speaker 1>not just to follow a set of instructions, but to

0:30:48.600 --> 0:30:53.920
<v Speaker 1>come up with new instructions, perhaps combinations and instructions that

0:30:54.000 --> 0:30:57.560
<v Speaker 1>have never before been attempted by humans and should be

0:30:58.160 --> 0:31:00.680
<v Speaker 1>some of which may fall into that out ofgory. So

0:31:00.720 --> 0:31:02.640
<v Speaker 1>we when we can talk about it, Yeah, we're going

0:31:02.680 --> 0:31:06.600
<v Speaker 1>to talk about chef Watson. Uh so Watson. Hey, we

0:31:06.680 --> 0:31:10.960
<v Speaker 1>talked about Watson recently, so this would be the it's

0:31:10.960 --> 0:31:13.520
<v Speaker 1>been a Watson kind of month, it has been. Yeah, Watson.

0:31:13.760 --> 0:31:16.080
<v Speaker 1>It's funny. On forward thinking, I've been talking all about

0:31:16.120 --> 0:31:18.760
<v Speaker 1>Watson and on tech stuff. I've been talking about the

0:31:18.800 --> 0:31:23.520
<v Speaker 1>Manhattan Project, Manhatton project, and the post apocalyptic technology and

0:31:23.960 --> 0:31:27.680
<v Speaker 1>radiocarbon dating. So I guess I just get on a

0:31:27.760 --> 0:31:30.480
<v Speaker 1>kind of a streak after a while. But with Watson,

0:31:30.560 --> 0:31:33.800
<v Speaker 1>in case you don't remember, Watson's the computer developed by IBM.

0:31:33.840 --> 0:31:37.360
<v Speaker 1>It played on Jeopardy and One against two returning champions

0:31:37.400 --> 0:31:40.960
<v Speaker 1>because humans aren't smart I know who, I'm just kidding.

0:31:40.960 --> 0:31:42.880
<v Speaker 1>They were very smart, but the computer had a very

0:31:42.960 --> 0:31:46.360
<v Speaker 1>impressive performance. Yeah, and it's a it's a cognitive computer.

0:31:46.560 --> 0:31:50.640
<v Speaker 1>It learns UH and as as it is trained, it

0:31:51.000 --> 0:31:55.960
<v Speaker 1>learns how to perform certain tasks, whether it's actual physical tasks,

0:31:56.080 --> 0:31:58.360
<v Speaker 1>you know, if you have a robotic component, or just

0:31:58.840 --> 0:32:01.800
<v Speaker 1>you know, the process of something better and better as

0:32:01.800 --> 0:32:03.720
<v Speaker 1>it as it's as you train it and tell it, yes,

0:32:03.760 --> 0:32:05.720
<v Speaker 1>you've done a good job. That's exactly what we want,

0:32:05.840 --> 0:32:08.640
<v Speaker 1>or no, this is not the result we wanted, then

0:32:08.760 --> 0:32:11.560
<v Speaker 1>it can start to learn and do them more and

0:32:11.600 --> 0:32:15.600
<v Speaker 1>more efficiently. So Watson has been used for all sorts

0:32:15.640 --> 0:32:18.080
<v Speaker 1>of stuff we talked about in the Tone Analyzer episode.

0:32:18.800 --> 0:32:21.840
<v Speaker 1>It's also been used to help with UH in the

0:32:21.920 --> 0:32:27.080
<v Speaker 1>medical field to help lots of different processes and anything

0:32:27.160 --> 0:32:29.640
<v Speaker 1>that you want to do that requires you to to

0:32:29.680 --> 0:32:32.320
<v Speaker 1>bring a whole bunch of information to the table. It's

0:32:32.360 --> 0:32:34.560
<v Speaker 1>it's really great for yeah, and it can it can

0:32:34.680 --> 0:32:38.000
<v Speaker 1>end up kind of weighing that information and giving you

0:32:38.040 --> 0:32:41.320
<v Speaker 1>at least an idea of what information seems to be

0:32:41.400 --> 0:32:45.320
<v Speaker 1>the most relevant. UH. And it's obviously making guesses in

0:32:45.360 --> 0:32:48.680
<v Speaker 1>some cases, but they're very educated guesses based upon huge

0:32:48.760 --> 0:32:53.800
<v Speaker 1>volumes of information. Well, Chef Watson is using that same technology,

0:32:53.840 --> 0:32:57.440
<v Speaker 1>but in the process of creating recipes uh IBM calls

0:32:57.480 --> 0:33:01.480
<v Speaker 1>it cognitive cooking, and it's based upon a couple of things,

0:33:01.480 --> 0:33:04.440
<v Speaker 1>the historic uses of various ingredients as well as the

0:33:04.520 --> 0:33:09.600
<v Speaker 1>chemical composition of those ingredients themselves and which chemical compositions

0:33:09.600 --> 0:33:12.680
<v Speaker 1>would be most likely to complement one another. So it

0:33:12.800 --> 0:33:16.480
<v Speaker 1>is going to be learning in large part from recipes,

0:33:16.640 --> 0:33:19.320
<v Speaker 1>from recipes that exist. It did. Yeah, they they fed

0:33:19.360 --> 0:33:23.520
<v Speaker 1>it thirty five thousand recipes along with a whole lot

0:33:23.560 --> 0:33:27.800
<v Speaker 1>of information like like food pairing theories and that that

0:33:27.920 --> 0:33:33.040
<v Speaker 1>flavor compound chemistry and just cultural taste preferences. Right, So

0:33:33.080 --> 0:33:36.520
<v Speaker 1>that way, with all that information combined, it could start

0:33:36.600 --> 0:33:43.400
<v Speaker 1>coming up with really interesting recipes recipes. So they showed

0:33:43.440 --> 0:33:46.920
<v Speaker 1>this off. IBM showed this off in in the perfect

0:33:46.920 --> 0:33:51.080
<v Speaker 1>way in my mind. They got a food truck and

0:33:51.120 --> 0:33:54.520
<v Speaker 1>they sent it to south By Southwest Interactive, which makes

0:33:54.560 --> 0:33:56.640
<v Speaker 1>perfect sense as a huge festival, a lot of a

0:33:56.680 --> 0:34:00.800
<v Speaker 1>lot of influential people from various businesses are there, and um,

0:34:01.640 --> 0:34:03.920
<v Speaker 1>what they did was they gave people the opportunity to

0:34:04.000 --> 0:34:08.080
<v Speaker 1>vote on one of several different dishes that had been

0:34:08.160 --> 0:34:10.920
<v Speaker 1>invented by chef Watson. So Watson would go through its

0:34:11.000 --> 0:34:14.000
<v Speaker 1>data base and say, all right, well, traditionally this ingredient

0:34:14.080 --> 0:34:17.000
<v Speaker 1>could be paired with this other ingredient, but I'm going

0:34:17.040 --> 0:34:19.399
<v Speaker 1>to do that and because I know that that's going

0:34:19.440 --> 0:34:23.040
<v Speaker 1>to produce this one type of taste, that taste would

0:34:23.040 --> 0:34:24.880
<v Speaker 1>probably go really well with this other thing that no

0:34:24.920 --> 0:34:28.759
<v Speaker 1>one's ever really bothered to combine with these and that's

0:34:28.760 --> 0:34:32.880
<v Speaker 1>gonna be my recipe. So attendees would end up seeing

0:34:32.920 --> 0:34:37.480
<v Speaker 1>the the candidates and then vote on Twitter essentially do

0:34:37.520 --> 0:34:40.359
<v Speaker 1>a hashtag and their choice, and then whichever one got

0:34:40.400 --> 0:34:42.839
<v Speaker 1>the most votes would be the one that the the

0:34:42.880 --> 0:34:45.960
<v Speaker 1>food truck would deliver the next day, So you could

0:34:45.960 --> 0:34:48.319
<v Speaker 1>go to the food truck and get a sample of

0:34:48.320 --> 0:34:51.239
<v Speaker 1>that and try it out. Not to be clear, this

0:34:51.280 --> 0:34:54.080
<v Speaker 1>food was not prepared by robots. No, no, what Watson

0:34:54.200 --> 0:34:59.320
<v Speaker 1>was not in the food truck. No Watson and Spirit

0:34:59.400 --> 0:35:02.919
<v Speaker 1>was in the food. Yeah, the Watson technology remained back

0:35:02.920 --> 0:35:06.200
<v Speaker 1>at IBM and was connected through the cloud. Uh. The

0:35:06.280 --> 0:35:09.040
<v Speaker 1>humans were actually preparing the stuff, but they were preparing

0:35:09.080 --> 0:35:12.279
<v Speaker 1>the recipes based off of an artificial intelligence creation. So

0:35:12.320 --> 0:35:16.160
<v Speaker 1>this was innovated by a machine, not by a human humans.

0:35:16.320 --> 0:35:17.759
<v Speaker 1>This is kind of like the opposite of what we

0:35:17.760 --> 0:35:20.360
<v Speaker 1>were just talking about, right, So instead of the robot

0:35:20.400 --> 0:35:23.560
<v Speaker 1>preparing these ingredients and making a meal. The robot came

0:35:23.600 --> 0:35:25.319
<v Speaker 1>up with which ingredients you were going to use, and

0:35:25.320 --> 0:35:28.400
<v Speaker 1>then you created the meal. So this is the model

0:35:28.440 --> 0:35:31.799
<v Speaker 1>where you become the robot and just perform out of

0:35:32.000 --> 0:35:35.880
<v Speaker 1>blind faith, exactly what the machine tells you to do. Yeah,

0:35:36.120 --> 0:35:39.759
<v Speaker 1>you become one of the drones in the nineteen eight

0:35:40.000 --> 0:35:45.359
<v Speaker 1>for Macintosh commercial. But hey, you're a robot that gets

0:35:45.400 --> 0:35:49.520
<v Speaker 1>to eat some potentially tasty and probably really weird food.

0:35:49.640 --> 0:35:51.560
<v Speaker 1>Let's talk about that. Well, all right, let's talk about

0:35:51.600 --> 0:35:54.520
<v Speaker 1>some of the examples that they came up with that

0:35:54.640 --> 0:35:59.120
<v Speaker 1>the food truck. So uh, they had stuffed like Belgian

0:35:59.200 --> 0:36:02.000
<v Speaker 1>bacon putting. I don't know exactly what that was. The

0:36:02.239 --> 0:36:04.120
<v Speaker 1>one that they gave the most attention to in the

0:36:04.200 --> 0:36:07.240
<v Speaker 1>videos I watched was an apple cobb, Vietnamese apple cobb.

0:36:07.520 --> 0:36:09.880
<v Speaker 1>That sounds pretty good to me. It was apples and pork,

0:36:09.920 --> 0:36:13.520
<v Speaker 1>which have been used quite a few times like apple pork,

0:36:13.560 --> 0:36:17.080
<v Speaker 1>apple sausages kind of stuff. And mushrooms were the other

0:36:17.560 --> 0:36:20.920
<v Speaker 1>key ingredient in this, along with some other ones. Um

0:36:21.000 --> 0:36:24.360
<v Speaker 1>and the program had identified a common flavor compound and

0:36:24.400 --> 0:36:26.720
<v Speaker 1>apples and pork and calculated that if the two combined

0:36:26.760 --> 0:36:29.400
<v Speaker 1>that make a pleasant flavor and added the mushrooms in,

0:36:29.560 --> 0:36:32.520
<v Speaker 1>and in fact, the people behind it said this was interesting.

0:36:32.520 --> 0:36:34.520
<v Speaker 1>I never would have thought to add mushrooms to this

0:36:34.600 --> 0:36:37.480
<v Speaker 1>particular dish, but people seemed to react to it positively.

0:36:37.840 --> 0:36:40.880
<v Speaker 1>They also had other stuff like coconut caribbean snapper fish

0:36:40.880 --> 0:36:44.520
<v Speaker 1>and chips, which I'm down with great. They had a

0:36:44.560 --> 0:36:48.200
<v Speaker 1>beef burrito that contained two ounces of dark chocolate, which

0:36:48.719 --> 0:36:51.200
<v Speaker 1>I first reacted. Yeah. First, my first reaction was weird,

0:36:51.239 --> 0:36:55.200
<v Speaker 1>and then I thought chicken. I put a tiny amount

0:36:55.200 --> 0:36:58.959
<v Speaker 1>of dark chocolate into my chili recipe, which that makes sense.

0:36:59.000 --> 0:37:03.440
<v Speaker 1>You know, I end up putting in an adult beverage

0:37:03.520 --> 0:37:06.200
<v Speaker 1>in my chilly recipe, and I might surprise you. Because

0:37:06.239 --> 0:37:08.839
<v Speaker 1>I don't drink adult beverages. It often means that I

0:37:08.840 --> 0:37:10.920
<v Speaker 1>am left over with quite a bit of adult beverage

0:37:10.960 --> 0:37:13.160
<v Speaker 1>that you can get rid of because they don't sell

0:37:13.200 --> 0:37:16.239
<v Speaker 1>it in the small amount I need. Not usually no.

0:37:17.080 --> 0:37:19.960
<v Speaker 1>But anyway, if you wanted to give this a try,

0:37:20.320 --> 0:37:22.239
<v Speaker 1>you don't have to wait for the food truck to

0:37:22.320 --> 0:37:25.680
<v Speaker 1>show up in your neighborhood. Instead, you can actually go

0:37:25.760 --> 0:37:28.960
<v Speaker 1>to the website, the Chef Watson website, and you can

0:37:29.000 --> 0:37:31.440
<v Speaker 1>sign in using something like a Facebook profile or the

0:37:31.440 --> 0:37:36.440
<v Speaker 1>IBM I D and you then can experiment. So it

0:37:36.520 --> 0:37:39.320
<v Speaker 1>has a place where you can put in an ingredient

0:37:39.400 --> 0:37:42.200
<v Speaker 1>and you can put I think up to four ingredients,

0:37:42.239 --> 0:37:44.640
<v Speaker 1>maybe more than that. I just I remember seeing four

0:37:44.680 --> 0:37:47.320
<v Speaker 1>on the screen. And you can start with just putting

0:37:47.320 --> 0:37:48.920
<v Speaker 1>in a single one and then I'll fill out the

0:37:48.920 --> 0:37:51.359
<v Speaker 1>rest for you, or you can go in and fill

0:37:51.400 --> 0:37:53.600
<v Speaker 1>in you know, no, I want these two paired together,

0:37:53.719 --> 0:37:55.400
<v Speaker 1>and then tell me what I can make from that.

0:37:55.600 --> 0:37:57.799
<v Speaker 1>And you can also fill in things that you don't

0:37:57.840 --> 0:38:00.560
<v Speaker 1>want to put in. For for example, I really shouldn't

0:38:00.600 --> 0:38:03.520
<v Speaker 1>have bell peppers, so I could say no bell peppers, yep. Yeah.

0:38:03.560 --> 0:38:06.000
<v Speaker 1>And in fact I did that as well, because I thought, hey,

0:38:06.040 --> 0:38:08.759
<v Speaker 1>I might actually use this in the near future. But

0:38:09.080 --> 0:38:11.920
<v Speaker 1>one of the people I'll be cooking for can't have tomatoes,

0:38:12.080 --> 0:38:14.880
<v Speaker 1>so I have to eliminate tomatoes from that. Otherwise I

0:38:14.880 --> 0:38:17.239
<v Speaker 1>would just have to go through recipe by recipe, you know,

0:38:17.280 --> 0:38:19.800
<v Speaker 1>and that gets t d s. Yeah, well yeah. IBM

0:38:19.880 --> 0:38:22.960
<v Speaker 1>teamed up with Bonappetite to create this app, and they

0:38:23.000 --> 0:38:26.080
<v Speaker 1>they've also published a cookbook of Watson's recipes with the

0:38:26.120 --> 0:38:30.880
<v Speaker 1>Institute for Culinary Education, which is the team of chefs

0:38:30.880 --> 0:38:33.279
<v Speaker 1>that they work together with to develop the software. In

0:38:33.320 --> 0:38:37.360
<v Speaker 1>the beginning, recipe I want to try is called Broccoli Frecacy,

0:38:37.480 --> 0:38:40.080
<v Speaker 1>which is pretty interesting to me, like it actually sounded

0:38:40.120 --> 0:38:43.160
<v Speaker 1>really appealing. It was also kind of odd because broccoli

0:38:43.280 --> 0:38:45.600
<v Speaker 1>was the ingredient I put in at the beginning, so

0:38:45.640 --> 0:38:47.279
<v Speaker 1>I was like, tell me the kind of stuff I

0:38:47.280 --> 0:38:49.640
<v Speaker 1>can make with broccoli. It filled out the other ingredients.

0:38:49.680 --> 0:38:51.880
<v Speaker 1>I think it added colligue. Well, first added tomato and

0:38:51.880 --> 0:38:54.399
<v Speaker 1>its no, no, I can't have that. Knocked it off.

0:38:54.440 --> 0:38:57.960
<v Speaker 1>They replaced tomato with cauliflower, and then I can't remember

0:38:57.960 --> 0:39:00.600
<v Speaker 1>what the other two ingredients that it added before it

0:39:00.840 --> 0:39:04.000
<v Speaker 1>just gave me the list of recipes. But it was

0:39:04.000 --> 0:39:06.360
<v Speaker 1>funny because it's it's called broccoli Frecacy. And then I

0:39:06.360 --> 0:39:09.560
<v Speaker 1>looked at the the recipe itself and I was like, oh,

0:39:09.600 --> 0:39:11.520
<v Speaker 1>this does sound really good. And then it occurred to me, hey,

0:39:11.560 --> 0:39:14.160
<v Speaker 1>I haven't seen broccoli yet. And it turned up that

0:39:14.239 --> 0:39:17.840
<v Speaker 1>the broccoli was an optional ingredient in broccoli Frecacy, and

0:39:17.880 --> 0:39:21.440
<v Speaker 1>instead of using noodles, which is how the regular recipe

0:39:21.480 --> 0:39:24.080
<v Speaker 1>was being presented, it said you could replace the noodles

0:39:24.480 --> 0:39:27.439
<v Speaker 1>by boiling broccoli and then mashing it up and then

0:39:27.560 --> 0:39:30.839
<v Speaker 1>putting the rest of the dish on top of that.

0:39:30.840 --> 0:39:36.560
<v Speaker 1>That would be a base. Okay, so optional broccoli broccoli frecacy. Yeah,

0:39:36.600 --> 0:39:40.600
<v Speaker 1>so freacacy, which may or may not have broccoli. So

0:39:41.040 --> 0:39:44.360
<v Speaker 1>that's just one example of something odd that might happen.

0:39:44.480 --> 0:39:47.560
<v Speaker 1>But that's not the strangest thing we discovered while using

0:39:47.600 --> 0:39:49.840
<v Speaker 1>Chef Watson. No. I was like, well, I'll give this

0:39:49.880 --> 0:39:53.000
<v Speaker 1>a spin. I am also the cook in our household,

0:39:53.000 --> 0:39:56.240
<v Speaker 1>and I feel like I have fairly decent culinary instinks,

0:39:56.520 --> 0:39:59.880
<v Speaker 1>so I decided to give it a try. I was

0:40:00.120 --> 0:40:04.360
<v Speaker 1>disappointed to find that you can't start with whatever ingredients

0:40:04.400 --> 0:40:07.560
<v Speaker 1>you want. They're they're limited by stuff the the you

0:40:07.600 --> 0:40:10.439
<v Speaker 1>know database whatever it is, already recognizes. So I tried

0:40:10.480 --> 0:40:12.640
<v Speaker 1>to start with rat meat, and it just didn't know

0:40:12.640 --> 0:40:14.600
<v Speaker 1>what to do with it. Apparently you're like, hey, what

0:40:14.719 --> 0:40:17.840
<v Speaker 1>if I am living in a fallout vault and I

0:40:18.000 --> 0:40:22.240
<v Speaker 1>have a limited group of ingredients. That's exactly when something

0:40:22.320 --> 0:40:24.960
<v Speaker 1>like this would be really useful. All right, we'll go on.

0:40:25.160 --> 0:40:29.520
<v Speaker 1>But okay, so no rat meat recipes. But then I thought, okay,

0:40:29.560 --> 0:40:32.279
<v Speaker 1>maybe mustard greens. I like mustard greens. I'll see what

0:40:32.320 --> 0:40:35.120
<v Speaker 1>I can do with that. One of the top results

0:40:35.280 --> 0:40:39.520
<v Speaker 1>was something called a mustard greens dumpling, like a Chinese

0:40:39.520 --> 0:40:43.920
<v Speaker 1>style dumpling with wanton wrappers. Yeah, that sounded interesting to me.

0:40:43.960 --> 0:40:45.600
<v Speaker 1>I was just like, okay, I'll give it a look.

0:40:45.640 --> 0:40:49.120
<v Speaker 1>And I clicked on this recipe. And I promise I

0:40:49.160 --> 0:40:51.600
<v Speaker 1>wasn't doing this to be mean. I wasn't trying to

0:40:51.640 --> 0:40:55.600
<v Speaker 1>make Watson cry or intentionally display its shortcoming. But I

0:40:55.640 --> 0:40:59.160
<v Speaker 1>think the results were quite bizarre. So the first thing

0:40:59.200 --> 0:41:01.800
<v Speaker 1>it tells you to do in the mustard greens dumpling

0:41:02.080 --> 0:41:05.560
<v Speaker 1>is to fill the dumplings with a food processor minced

0:41:05.640 --> 0:41:13.000
<v Speaker 1>combination of vegetables and seasonings. I quote, finally mince scotch, bonnet, pepper,

0:41:13.040 --> 0:41:17.480
<v Speaker 1>and garlic. In food processor add okra and okra, Brian

0:41:17.640 --> 0:41:23.279
<v Speaker 1>cured olives, Nisa olives, sesame oil, garlic, chili sauce, and

0:41:23.360 --> 0:41:25.960
<v Speaker 1>soy sauce. Well, first of all, let me say, you

0:41:26.000 --> 0:41:29.239
<v Speaker 1>can never have too much okra. I like okra, but

0:41:29.400 --> 0:41:31.880
<v Speaker 1>it I don't know what to do with the okra

0:41:32.040 --> 0:41:34.800
<v Speaker 1>and okra. You have to finally mince it. It tells

0:41:34.840 --> 0:41:37.560
<v Speaker 1>you at the beginning of the sentence okay to add

0:41:37.600 --> 0:41:41.719
<v Speaker 1>in all the Okra. Uh yeah, well, okay, so I

0:41:42.239 --> 0:41:44.880
<v Speaker 1>also like Okra a lot too, But even as a

0:41:44.920 --> 0:41:47.319
<v Speaker 1>fan of Okra, this sounds kind of strange to me.

0:41:47.840 --> 0:41:51.279
<v Speaker 1>And maybe I'm just not being open minded enough, but

0:41:51.440 --> 0:41:56.360
<v Speaker 1>based on my like human culinary instincts, a Chinese dumpling

0:41:56.480 --> 0:42:00.799
<v Speaker 1>paste that is literally half by way made up of

0:42:01.320 --> 0:42:06.000
<v Speaker 1>brine cured olives, nice Swa olives, and Scotch bonnet peppers

0:42:06.239 --> 0:42:11.120
<v Speaker 1>sounds absolutely disgusting. Now you say that, and have you

0:42:11.239 --> 0:42:15.359
<v Speaker 1>tried one yet? No, I haven't say that. For those

0:42:15.360 --> 0:42:19.040
<v Speaker 1>who are not familiar with Scotch bonnet peppers, they they

0:42:19.280 --> 0:42:21.160
<v Speaker 1>pack a bit of a punch. Yes, these are going

0:42:21.200 --> 0:42:24.120
<v Speaker 1>to be hot. They're hotter than how many arrows they're Yeah,

0:42:24.120 --> 0:42:26.600
<v Speaker 1>they're quite spicy. Yes, these are gonna be very spicy.

0:42:26.600 --> 0:42:29.440
<v Speaker 1>I mean I like spicy food. That's fine, But more

0:42:29.520 --> 0:42:32.359
<v Speaker 1>than half of what makes up the filling is going

0:42:32.440 --> 0:42:36.320
<v Speaker 1>to be olives. And then you're gonna add soy sauce

0:42:36.360 --> 0:42:39.759
<v Speaker 1>to it, and chi sauce, which is I'll talk about

0:42:39.760 --> 0:42:42.600
<v Speaker 1>an ingredient that didn't pop up. Oh yeah, wait a minute,

0:42:42.680 --> 0:42:46.080
<v Speaker 1>I thought I was making mustard green dumplings. What happened

0:42:46.080 --> 0:42:48.839
<v Speaker 1>to the mustard greens. Well, finally I kept reading through

0:42:48.880 --> 0:42:51.120
<v Speaker 1>it to find where they came in, and finally I

0:42:51.160 --> 0:42:53.959
<v Speaker 1>got to the step pour enough water into the pot

0:42:54.040 --> 0:42:56.879
<v Speaker 1>to reach depth of one half inch line steamer rack

0:42:57.000 --> 0:43:01.360
<v Speaker 1>with mustard greens leaves. So, in other words, the steam

0:43:01.480 --> 0:43:05.399
<v Speaker 1>is going to be passing through the mustard leaves, right.

0:43:05.480 --> 0:43:08.000
<v Speaker 1>So well, I mean, so if you've ever made dumplings

0:43:08.000 --> 0:43:10.480
<v Speaker 1>in a steamer, it's a very common practice to lay

0:43:10.480 --> 0:43:13.200
<v Speaker 1>out cabbage leaves or let us leaves or something in

0:43:13.239 --> 0:43:16.919
<v Speaker 1>the steamer just to sit the dumplings on while they steam. Yeah,

0:43:16.920 --> 0:43:18.759
<v Speaker 1>so they don't stick to it in the end, and

0:43:19.200 --> 0:43:21.799
<v Speaker 1>those kind of things can impart a little bit of

0:43:21.800 --> 0:43:24.600
<v Speaker 1>flavor to the dough. So the thing that it calls

0:43:24.760 --> 0:43:29.040
<v Speaker 1>mustard green dumplings is is might have a waft of

0:43:29.200 --> 0:43:33.040
<v Speaker 1>mustard green, but it has no mustard greens as an ingredient.

0:43:33.080 --> 0:43:35.720
<v Speaker 1>Maybe what this tells us is that Watson really hates

0:43:35.800 --> 0:43:40.480
<v Speaker 1>mustard greens. Could be I just wanted to be tangentially

0:43:40.680 --> 0:43:43.920
<v Speaker 1>related to the cooking process. Also, there's another thing that

0:43:44.040 --> 0:43:46.239
<v Speaker 1>kind of surprised me, which is that it said this

0:43:46.280 --> 0:43:50.560
<v Speaker 1>recipe makes thirty six surveys when they're they're about four

0:43:50.640 --> 0:43:56.040
<v Speaker 1>cups of filling, it looks like an appetizer, clearly, Yeah, okay,

0:43:56.120 --> 0:43:58.600
<v Speaker 1>And if I don't know, if the filling is mostly

0:43:58.680 --> 0:44:01.080
<v Speaker 1>salty olives and so I sauce, that might be for

0:44:01.120 --> 0:44:04.160
<v Speaker 1>the best. Anyway, I I don't mean to rag on

0:44:04.200 --> 0:44:05.960
<v Speaker 1>it too much. I mean, I think the idea of

0:44:06.000 --> 0:44:09.200
<v Speaker 1>creating an AI chef is really cool, and I can

0:44:09.200 --> 0:44:13.680
<v Speaker 1>actually see a recipe synthesizer being a better investment, at

0:44:13.719 --> 0:44:16.279
<v Speaker 1>least in the short term than a physical robot cook,

0:44:16.440 --> 0:44:18.560
<v Speaker 1>just because of all the problems of you know, how

0:44:18.600 --> 0:44:21.960
<v Speaker 1>to navigate the kitchen and recognize ingredients and stuff if

0:44:21.960 --> 0:44:25.000
<v Speaker 1>you're talking about the physical cook. But to me, this

0:44:25.040 --> 0:44:27.919
<v Speaker 1>shows the limitations of a system like this when it's

0:44:27.960 --> 0:44:32.560
<v Speaker 1>trying to work with unstructured data, because there, I mean,

0:44:33.120 --> 0:44:35.799
<v Speaker 1>I understand that the data that they fed it is

0:44:35.920 --> 0:44:40.800
<v Speaker 1>I think somewhat structured, maybe partially structured, but it seems

0:44:40.840 --> 0:44:43.760
<v Speaker 1>like it could be more well structured. So in other words,

0:44:44.200 --> 0:44:46.960
<v Speaker 1>one of the limitations you would say is that it's

0:44:47.000 --> 0:44:51.320
<v Speaker 1>listed as the principal ingredient, but in truth, the mustard

0:44:51.360 --> 0:44:55.680
<v Speaker 1>greens are just used to incidental to the recipe. But

0:44:56.160 --> 0:44:58.799
<v Speaker 1>but the the AI can't tell that, right to the

0:44:58.880 --> 0:45:02.600
<v Speaker 1>AI that because that's involved in the process, it must

0:45:02.680 --> 0:45:06.080
<v Speaker 1>therefore be as as important as these other anything else

0:45:06.239 --> 0:45:10.120
<v Speaker 1>elements inside the recipe. Yeah, so, in my opinion, I

0:45:10.120 --> 0:45:14.000
<v Speaker 1>would think to design like reliably good cooking instructions without

0:45:14.000 --> 0:45:16.319
<v Speaker 1>a lot of human compensation, because we can look at

0:45:16.360 --> 0:45:19.200
<v Speaker 1>recipes like these and say, okay, I could maybe take

0:45:19.280 --> 0:45:22.480
<v Speaker 1>some of the suggestions of this recipe, but I mean

0:45:22.520 --> 0:45:25.320
<v Speaker 1>not follow it word for word because that would be insane.

0:45:25.360 --> 0:45:27.359
<v Speaker 1>And in fact, they even tell you to do that.

0:45:27.600 --> 0:45:30.400
<v Speaker 1>They say, quote, these quantities and steps are ideas, but

0:45:30.480 --> 0:45:33.200
<v Speaker 1>Chef Watson really needs you to use your own creativity

0:45:33.200 --> 0:45:35.360
<v Speaker 1>and judgment. Let us know how to make chef smarter.

0:45:35.560 --> 0:45:38.479
<v Speaker 1>So they, I mean they understand the limitations obviously there.

0:45:39.080 --> 0:45:41.719
<v Speaker 1>We're not like pointing out something they haven't figured out

0:45:42.920 --> 0:45:46.200
<v Speaker 1>in this to point out cognitive computing. That's how cognitive

0:45:46.239 --> 0:45:49.520
<v Speaker 1>computing works, right, is that you tell the computer, hey,

0:45:49.840 --> 0:45:52.839
<v Speaker 1>I made this thing. You made It was a monstrosity

0:45:53.040 --> 0:45:56.320
<v Speaker 1>and it it made me want to burn my house down.

0:45:56.840 --> 0:46:00.759
<v Speaker 1>Don't do that. Then the computer says, got you, good,

0:46:01.320 --> 0:46:03.879
<v Speaker 1>but I'll not do it again. But I do think

0:46:03.920 --> 0:46:06.720
<v Speaker 1>something like this could maybe work better if you start

0:46:06.760 --> 0:46:12.399
<v Speaker 1>with more structured data. Well, personally, before we make such

0:46:12.400 --> 0:46:14.839
<v Speaker 1>a bold statement as that, Joe, I think we really

0:46:14.880 --> 0:46:18.640
<v Speaker 1>do have to make these and find out what happens. Yeah, okay,

0:46:18.719 --> 0:46:21.239
<v Speaker 1>so you want me to make some olive dumplings and

0:46:21.280 --> 0:46:24.200
<v Speaker 1>bring them in. I'll eat one if you bring it in. Well,

0:46:24.239 --> 0:46:29.319
<v Speaker 1>I like Scotch bonnets. I'll bring the water, you bring

0:46:29.360 --> 0:46:31.480
<v Speaker 1>the water. Well, Yeah, it's too bad we don't have

0:46:31.520 --> 0:46:33.759
<v Speaker 1>like a farmer's market near by the office, because I

0:46:33.760 --> 0:46:36.080
<v Speaker 1>think that would be amazing. It would be we can

0:46:36.120 --> 0:46:41.920
<v Speaker 1>shoot a video where we make Yeah, we make the Watson.

0:46:42.000 --> 0:46:44.680
<v Speaker 1>We should each pick a Watson based recipe and do

0:46:44.760 --> 0:46:47.800
<v Speaker 1>a video of it and say, here's the future of recipes.

0:46:47.960 --> 0:46:49.719
<v Speaker 1>I think, do you have any day and dates coming up?

0:46:49.800 --> 0:46:53.160
<v Speaker 1>Let's let's you know. I'm pretty much sold for the

0:46:53.200 --> 0:46:55.399
<v Speaker 1>rest of the year. But I'm okay, but I think

0:46:55.560 --> 0:46:57.759
<v Speaker 1>I think it actually would benefit us from doing it.

0:46:57.760 --> 0:47:00.720
<v Speaker 1>I think we need to do this, Okay, Yeah, I'm

0:47:01.040 --> 0:47:04.640
<v Speaker 1>totally in. I mean because because this is really fun.

0:47:04.960 --> 0:47:08.120
<v Speaker 1>It's such a fun demonstration of how a tool as

0:47:08.160 --> 0:47:13.399
<v Speaker 1>powerful as Watson can be used in in perhaps unexpected ways. Uh,

0:47:13.480 --> 0:47:16.960
<v Speaker 1>and you know the application of Watson's processing power. The

0:47:17.000 --> 0:47:20.400
<v Speaker 1>same application can also help us find more effective treatments

0:47:20.400 --> 0:47:24.080
<v Speaker 1>for diseases, or identify drugs that could be therapeutic in

0:47:24.120 --> 0:47:26.759
<v Speaker 1>ways other than what they were originally developed for right,

0:47:26.880 --> 0:47:31.400
<v Speaker 1>or even find potential problems of different medications interfering with

0:47:31.440 --> 0:47:34.400
<v Speaker 1>one another before you actually prescribe them to a patient.

0:47:35.000 --> 0:47:39.000
<v Speaker 1>So incredibly powerful tool. And you know, yes, this this

0:47:39.200 --> 0:47:43.719
<v Speaker 1>application we're talking about seems a little frivolous, but honestly,

0:47:43.800 --> 0:47:46.799
<v Speaker 1>I'm excited by it because I love the idea that

0:47:47.640 --> 0:47:51.680
<v Speaker 1>the recipe for the next amazing dish might be created

0:47:51.719 --> 0:47:56.280
<v Speaker 1>by an artificial intelligence because it doesn't know, it doesn't

0:47:56.320 --> 0:47:59.960
<v Speaker 1>know that it's breaking a rule necessarily. Now I don't.

0:48:00.040 --> 0:48:03.120
<v Speaker 1>I don't think the mustard green dumplings, what's gonna be it? Well, hey,

0:48:03.239 --> 0:48:05.080
<v Speaker 1>I want to end with some good news. Now. I

0:48:05.080 --> 0:48:07.879
<v Speaker 1>did find another recipe under the mustard because it gives

0:48:07.880 --> 0:48:10.520
<v Speaker 1>you lots of different recipes to choose from. I found

0:48:10.520 --> 0:48:14.239
<v Speaker 1>another one that was called grilled mustard greens, and it

0:48:14.280 --> 0:48:16.799
<v Speaker 1>was not for grilled mustard greens. It was actually for

0:48:16.920 --> 0:48:20.400
<v Speaker 1>grilled cod served on a mustard green salad. But it

0:48:20.480 --> 0:48:23.160
<v Speaker 1>sounded pretty good. I was like, well, maybe I will

0:48:23.200 --> 0:48:26.040
<v Speaker 1>give this a try cod with mustard greens. Now, the

0:48:26.080 --> 0:48:28.640
<v Speaker 1>picture it had associated with it was a picture of

0:48:28.680 --> 0:48:33.080
<v Speaker 1>grilled shrimp, and the first step in the cod recipe

0:48:33.280 --> 0:48:37.760
<v Speaker 1>was one word. It said, d vane. I think, uh,

0:48:37.800 --> 0:48:40.239
<v Speaker 1>I think what we're gonna need I don't think applies

0:48:40.280 --> 0:48:42.399
<v Speaker 1>to God. I think at some point what we're gonna

0:48:42.440 --> 0:48:44.160
<v Speaker 1>have to do is create our own Like this will

0:48:44.160 --> 0:48:46.960
<v Speaker 1>probably be how the singularity actually happens, y'all. What we

0:48:47.000 --> 0:48:50.239
<v Speaker 1>will do is we will create a well, we'll cook

0:48:50.280 --> 0:48:55.600
<v Speaker 1>a dish that was created by Chef Watson maybe if

0:48:55.640 --> 0:48:58.400
<v Speaker 1>we were you know, the Serenity Kitchen folks are located

0:48:58.400 --> 0:49:02.400
<v Speaker 1>all Atlanta. Maybe we'll use a robot to help prepare

0:49:02.400 --> 0:49:04.880
<v Speaker 1>a dish that was made by a different robot, and

0:49:04.920 --> 0:49:07.520
<v Speaker 1>then we'll take a picture of that and feed the

0:49:07.560 --> 0:49:11.280
<v Speaker 1>picture through Google Deep Dream. And that's how the Singularity happens.

0:49:12.440 --> 0:49:14.600
<v Speaker 1>All right, I think we've got it planned. You know,

0:49:15.200 --> 0:49:18.640
<v Speaker 1>So finally that April Fool's episode we released will become true.

0:49:18.640 --> 0:49:20.759
<v Speaker 1>I'll just be a little there'll be a little prematures.

0:49:20.800 --> 0:49:22.359
<v Speaker 1>All well, let we'll let you know when we're when

0:49:22.360 --> 0:49:24.880
<v Speaker 1>we're pulling the trigger. Yeah, but no, I really do.

0:49:25.040 --> 0:49:27.239
<v Speaker 1>I really am excited about trying this, whether we do

0:49:27.280 --> 0:49:29.440
<v Speaker 1>a video on it or not, I am excited about

0:49:29.480 --> 0:49:32.200
<v Speaker 1>about using this and seeing how it turns out, because

0:49:32.600 --> 0:49:36.400
<v Speaker 1>even if it fails, it's interesting, right and uh and

0:49:36.480 --> 0:49:40.520
<v Speaker 1>I love again being being a gadget guy and being

0:49:40.560 --> 0:49:42.440
<v Speaker 1>the cook. This is the kind of stuff that just

0:49:42.480 --> 0:49:45.520
<v Speaker 1>appeals to me all on its own. But I'm curious

0:49:45.520 --> 0:49:48.399
<v Speaker 1>to hear what our listeners think. Would you, guys, use

0:49:48.480 --> 0:49:50.440
<v Speaker 1>a robot in your kitchen or do you think that

0:49:50.440 --> 0:49:53.320
<v Speaker 1>that takes the fun out of cooking? Would you follow

0:49:53.480 --> 0:49:56.319
<v Speaker 1>a chef Watson recipe or have you? And if you have,

0:49:56.880 --> 0:49:59.839
<v Speaker 1>let us know what the results were like, Um, shove

0:50:00.000 --> 0:50:02.000
<v Speaker 1>Watson is a very easy app to you, So if

0:50:02.000 --> 0:50:03.520
<v Speaker 1>you want to go out there and give it a shot,

0:50:03.680 --> 0:50:06.319
<v Speaker 1>let's know your results. Please do. I would love to

0:50:06.320 --> 0:50:09.000
<v Speaker 1>hear it more. Of course, if you have any suggestions

0:50:09.040 --> 0:50:11.759
<v Speaker 1>for future topics, you can let us know. Send us

0:50:11.760 --> 0:50:14.680
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0:50:14.760 --> 0:50:17.440
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0:50:17.560 --> 0:50:20.279
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0:50:27.120 --> 0:50:36.080
<v Speaker 1>again really soon. For more on this topic in the

0:50:36.120 --> 0:50:50.440
<v Speaker 1>future of technology, visit forward Thinking dot Com, brought to

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