Podcast Episode

Artificial Intelligence, True Food

Harvard Business Review
Jul 30, 202613 minEN

Who’s talking

7 speakers
Ming Tsai4 min · 46%
Speaker 62 min · 21%
Speaker 42 min · 19%
Speaker 227 sec · 5%
Speaker 321 sec · 4%
Speaker 115 sec · 3%
1 other15 sec · 3%

Transcript

86 turns · 10 min
Speaker 10:00

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Speaker 20:16

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Speaker 30:22

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Speaker 20:33

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Speaker 30:35

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Speaker 40:48

When we talk about AI at IBM, we mean augmented intelligence, not artificial intelligence, because our goal is really to enhance and scale human skills. Watson, uh, evolved from being a supercomputer to becoming a collection of services that are available on the cloud to everyone, and we thought, well, one thing that's still missing to Watson is creativity. Could Watson help its users be more creative?

MT
Ming Tsai1:11

I'm jaded, I'm biased, so me with pickles, these are my five favorite ways to eat pickles. I'm probably gonna go to those. Watson, he's not jaded, he's not biased. I never thought about doing a pickle souffle. I wouldn't, but I never thought about it.

Speaker 41:26

Chef Watson has some knowledge that we don't have, you, I, or even a professional chef. It knows what flavor compounds are contained in what ingredients. It knows the chemistry of the ingredients. It also has, of course, parsed, like, thousands of recipes, so it's seen what ingredients are often used together, and it tries to combine those two, uh, sources of information to, to make its recommendations.

Speaker 61:48

I tend to cook with the same ingredients all the time, so it should be an adventure to, to try something totally new.

MT
Ming Tsai1:53

I always coach young chefs, and they create a dish, and there's, "Look, this has never been done before, peanut butter and escargot." Just because it's never been done before doesn't mean it's genius. As a matter of fact, peanut butter escargot would be horrible. However, where I think Watson could be hugely beneficial is discovering new ingredients, finding a, uh, you know, a 30th peppercorn I didn't know about. But ultimately, um, I think it stops there.

Speaker 62:23

We asked our Twitter followers, uh, to take a poll. In a very close race, they picked green olives ahead of dried cranberries. I was rooting for dried cranberries, but I will, I will try my hand at olives.

Speaker 42:36

Immediately, you see suggestions of ingredients that are gonna go well with green olives.

Speaker 62:41

Oh, goodness. Wow.

Speaker 42:42

You can exclude ingredients if you think that dry vermouth is not a good idea-

Speaker 62:45

Yeah, not a-

Speaker 42:45

... with fish. [laughs]

Speaker 62:46

Oh, that's a bad idea-

Speaker 42:47

Okay

Speaker 62:47

... just in general.

MT
Ming Tsai2:48

I wanna do salmon. So Watson's first idea, which seems incredibly horrific, is a beef and salmon dish with green olive, mushroom, butter, pimento, chili de arbol, guajillo pepper. Eh.

Speaker 63:01

What is happening here?

MT
Ming Tsai3:03

[laughs]

Speaker 63:03

Green olives, blue cheese, m- mint chocolate chip ice

Episode notes

Artificial Intelligence, Real Food

28 Jul 2017

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Can AI really help you be more creative? We paired IBM's AI with an expert chef and a kitchen novice to see how humans and machines could work together. Here's what happened.

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