1 00:00:00,160 --> 00:00:04,040 Speaker 1: Ruthie's Table four, brought to you by Sky and Montclair. 2 00:00:04,880 --> 00:00:07,800 Speaker 2: I think it's so important to start with what's the 3 00:00:07,840 --> 00:00:09,840 Speaker 2: state of the world today and can we fix it 4 00:00:10,600 --> 00:00:12,960 Speaker 2: and make sure we're focusing on what's the upside because 5 00:00:13,000 --> 00:00:17,520 Speaker 2: it's so easy to be scared about change. I think 6 00:00:17,520 --> 00:00:19,840 Speaker 2: that it's exciting to see the art of the possible. 7 00:00:25,600 --> 00:00:28,760 Speaker 1: Ruth Parr and I have shared some fantastic times together 8 00:00:28,880 --> 00:00:31,760 Speaker 1: over the years. In December, when I told Ruth I 9 00:00:31,840 --> 00:00:35,320 Speaker 1: was coming to San Francisco, she said, Ruthie, I'm going 10 00:00:35,360 --> 00:00:38,120 Speaker 1: to give you the ride of your life. It turned 11 00:00:38,159 --> 00:00:40,199 Speaker 1: out to be in the back of Away Mow, the 12 00:00:40,280 --> 00:00:45,159 Speaker 1: revolutionary driverless car, a project she's been deeply involved with 13 00:00:45,320 --> 00:00:50,839 Speaker 1: as President and chief investment Officer of Google and Alphabet Life, 14 00:00:50,880 --> 00:00:55,960 Speaker 1: and her extraordinary schedule has often kept us thousands, sometimes 15 00:00:56,040 --> 00:01:00,520 Speaker 1: tens of thousands of miles apart as she moves across continents, 16 00:01:00,960 --> 00:01:06,920 Speaker 1: connecting people, connecting ideas, and connecting communities. Being here today 17 00:01:06,959 --> 00:01:10,280 Speaker 1: with ruth is really special to me. A Ruth and 18 00:01:10,319 --> 00:01:14,000 Speaker 1: a Ruthie back together at last. What could be better? 19 00:01:14,400 --> 00:01:16,520 Speaker 3: Thank you so much. That was so beautiful. 20 00:01:16,680 --> 00:01:19,440 Speaker 1: We have not done a podcast on a Sunday Morning 21 00:01:19,440 --> 00:01:21,480 Speaker 1: at eight thirty and six years. 22 00:01:22,800 --> 00:01:24,880 Speaker 2: It was the way to finally get by this morning. 23 00:01:24,920 --> 00:01:25,959 Speaker 3: As I was getting. 24 00:01:25,720 --> 00:01:29,680 Speaker 1: Dressed, feeling quite hungover from Saturday Night Live, I thought, 25 00:01:29,680 --> 00:01:32,080 Speaker 1: maybe this is this is not a good thing to do. 26 00:01:32,480 --> 00:01:34,560 Speaker 3: Having done it, I think it's a great idea. 27 00:01:34,880 --> 00:01:39,120 Speaker 1: You are now team Team Team four. We are doing. 28 00:01:39,000 --> 00:01:40,840 Speaker 2: Sorry team for Yeah, we are. 29 00:01:41,000 --> 00:01:44,440 Speaker 1: We have discovered the Sunday Morning Podcast. I think it's 30 00:01:44,480 --> 00:01:48,760 Speaker 1: really nice, because really nice. I was so interested that 31 00:01:48,800 --> 00:01:52,840 Speaker 1: you chose the recipe that I love most in the 32 00:01:52,880 --> 00:01:55,720 Speaker 1: sum well particularly in the summer. Do you love this recipe? 33 00:01:55,840 --> 00:01:58,120 Speaker 3: I do love this recipe, pop up homodoro? 34 00:01:58,480 --> 00:02:01,240 Speaker 1: Yeah? Do you want to read it? Why? 35 00:02:01,400 --> 00:02:06,640 Speaker 2: Papa al pomodoro? Four kilograms of ripe sweet plum tomatoes, 36 00:02:06,680 --> 00:02:10,679 Speaker 2: peeled and chopped, four garlic cloves, chopped, one hundred and 37 00:02:10,760 --> 00:02:13,440 Speaker 2: seventy five milli liters of olive oil. I did have 38 00:02:13,480 --> 00:02:16,040 Speaker 2: to Google all of this to get that converted for Americans. 39 00:02:16,080 --> 00:02:19,960 Speaker 3: But that's okay, okay, the food that's good. I like it. 40 00:02:20,000 --> 00:02:21,280 Speaker 3: I like knowing can google works. 41 00:02:21,320 --> 00:02:25,320 Speaker 2: It converts one stale sour dough loaf crust cut into 42 00:02:25,400 --> 00:02:29,399 Speaker 2: large chunks two bunches basil leaves torn into pieces. Fry 43 00:02:29,440 --> 00:02:32,160 Speaker 2: the garlic in olive oil and cook gently until soft, 44 00:02:32,639 --> 00:02:34,320 Speaker 2: just before the garlic turns brown. 45 00:02:34,560 --> 00:02:35,960 Speaker 3: Then add the tomatoes. 46 00:02:35,960 --> 00:02:40,480 Speaker 2: Tomatoes simmer for thirty minutes, stirring occasionally. Season Add six 47 00:02:40,560 --> 00:02:43,120 Speaker 2: hundred millimeters water, bring it to the boil. Put the 48 00:02:43,160 --> 00:02:46,000 Speaker 2: bread into the tomato mixture and stir until the bread 49 00:02:46,080 --> 00:02:49,320 Speaker 2: absorbs the liquid, adding more boiling water. If the soup 50 00:02:49,400 --> 00:02:52,040 Speaker 2: is too thick, remove from the heat and allow to 51 00:02:52,080 --> 00:02:55,560 Speaker 2: cool slightly. Stirn the basil into the soup with one 52 00:02:55,639 --> 00:02:58,480 Speaker 2: hundred and twenty to one hundred and seventy five milli. 53 00:02:58,240 --> 00:03:00,680 Speaker 3: Liters of extra virgin olive oil. 54 00:03:01,160 --> 00:03:03,320 Speaker 2: Then let's sit to allow the bread to absorb the 55 00:03:03,360 --> 00:03:07,000 Speaker 2: flavor of the basil and oil. Drizzle with olive oil 56 00:03:07,160 --> 00:03:08,520 Speaker 2: and serve and enjoy. 57 00:03:08,840 --> 00:03:11,280 Speaker 1: Of all the River Cafe recipes you could have chosen. 58 00:03:11,600 --> 00:03:13,400 Speaker 1: What made you choose this recipe? 59 00:03:13,520 --> 00:03:16,720 Speaker 2: Well, it's just it's lovely. It's one of I think 60 00:03:16,840 --> 00:03:21,760 Speaker 2: a soup, a beautiful, simple soup is just soothing, and 61 00:03:21,840 --> 00:03:24,640 Speaker 2: I was so intrigued picking it, learning that it's what 62 00:03:25,600 --> 00:03:29,680 Speaker 2: actually convinced you to cook only Italian like the beauty 63 00:03:29,720 --> 00:03:32,720 Speaker 2: and simplicity of it to me is just wonderful and 64 00:03:33,480 --> 00:03:35,280 Speaker 2: as somebody who doesn't really know how to cook, I 65 00:03:35,320 --> 00:03:36,040 Speaker 2: can actually do this. 66 00:03:36,280 --> 00:03:38,640 Speaker 1: It can't. It's very simple. Yeah, I think it has 67 00:03:38,680 --> 00:03:41,480 Speaker 1: four ingredients. I was as you were reading it. I 68 00:03:41,520 --> 00:03:44,960 Speaker 1: remembered that I was staying in Italy with Richard and 69 00:03:45,000 --> 00:03:48,560 Speaker 1: his cousins, and it was my first trip to Italy, 70 00:03:48,560 --> 00:03:50,880 Speaker 1: and I didn't understand Italian very well. I didn't know 71 00:03:50,920 --> 00:03:53,320 Speaker 1: the family. And I woke up and I heard this 72 00:03:53,600 --> 00:03:58,080 Speaker 1: argument going on in the kitchen downstairs. These two sisters 73 00:03:58,120 --> 00:04:00,120 Speaker 1: were fighting and there was quite a heated argument, and 74 00:04:00,160 --> 00:04:04,560 Speaker 1: I thought, are they discussing feminism? Mussolini? You know where 75 00:04:04,560 --> 00:04:06,160 Speaker 1: they were going to go the next day? And the 76 00:04:06,360 --> 00:04:08,040 Speaker 1: argument when I came in the kitchen and one of 77 00:04:08,040 --> 00:04:10,360 Speaker 1: them was Almas the deers where they were making Papa 78 00:04:10,440 --> 00:04:14,440 Speaker 1: pomodor and one having added the bread and the tomato together, 79 00:04:14,880 --> 00:04:18,000 Speaker 1: one wanted to pour in water and the other one 80 00:04:18,080 --> 00:04:20,880 Speaker 1: didn't want to add any water. And this was a 81 00:04:20,920 --> 00:04:23,080 Speaker 1: family crisis. 82 00:04:23,080 --> 00:04:25,360 Speaker 3: And I thought that told. 83 00:04:25,160 --> 00:04:29,320 Speaker 1: You a lot about family food and maybe sisters. You know, 84 00:04:29,760 --> 00:04:33,480 Speaker 1: with Google, it's not just something we feed the people 85 00:04:33,480 --> 00:04:37,120 Speaker 1: who work here. It's a very definite policy. It's a 86 00:04:37,240 --> 00:04:40,480 Speaker 1: very definite value that you have, and I think that 87 00:04:40,800 --> 00:04:43,040 Speaker 1: if we're talking about I want to talk more about 88 00:04:43,040 --> 00:04:45,719 Speaker 1: the values of the work that you're doing. There is 89 00:04:45,760 --> 00:04:48,599 Speaker 1: also a value in the way we approach food. 90 00:04:49,040 --> 00:04:49,679 Speaker 3: So I think. 91 00:04:49,600 --> 00:04:52,960 Speaker 2: Google really pioneered a lot of the notion of food 92 00:04:53,120 --> 00:04:56,080 Speaker 2: within the office the way we do it, and for 93 00:04:56,320 --> 00:05:00,600 Speaker 2: Google it's a really important part of the culture. Is 94 00:05:00,640 --> 00:05:06,559 Speaker 2: that bringing people together is built community, and it's also 95 00:05:06,560 --> 00:05:11,560 Speaker 2: if we're an innovation company, serendipity is really valuable, and 96 00:05:11,640 --> 00:05:15,320 Speaker 2: so having people come for meals is one way you 97 00:05:15,360 --> 00:05:18,640 Speaker 2: get people from all around the company working on different 98 00:05:18,640 --> 00:05:23,120 Speaker 2: things all of a sudden comparing ideas. One of the 99 00:05:23,200 --> 00:05:26,960 Speaker 2: We then created something that we call mks, our micro kitchens. 100 00:05:27,279 --> 00:05:29,200 Speaker 2: So our view at Google is you shouldn't have to 101 00:05:29,240 --> 00:05:32,120 Speaker 2: walk very far before you can have a place to 102 00:05:32,160 --> 00:05:34,960 Speaker 2: come together where there will be snacks and drinks. 103 00:05:34,600 --> 00:05:35,320 Speaker 3: And other things. 104 00:05:36,080 --> 00:05:39,039 Speaker 2: And there was a term for a long time people 105 00:05:39,000 --> 00:05:42,920 Speaker 2: will talk about casual collisions. So at an MK, at 106 00:05:42,920 --> 00:05:46,320 Speaker 2: the micro kitchen, what you would want is somebody working 107 00:05:46,360 --> 00:05:48,919 Speaker 2: on Search and somebody working on Chrome just happened to 108 00:05:48,920 --> 00:05:50,800 Speaker 2: be coming to get a snack at one time, and 109 00:05:50,839 --> 00:05:54,400 Speaker 2: then strike up a conversation and it sparks ideas. So 110 00:05:55,040 --> 00:05:58,960 Speaker 2: it's a notion of community but also serendipity and innovation. 111 00:05:59,240 --> 00:06:01,880 Speaker 3: And so it's very very poor to who we are. 112 00:06:02,240 --> 00:06:04,360 Speaker 1: Just in the last night, what you were here with 113 00:06:04,400 --> 00:06:06,960 Speaker 1: your son. I was here last night, which I saw 114 00:06:07,040 --> 00:06:10,040 Speaker 1: some people who had seen the television show about the 115 00:06:10,120 --> 00:06:13,120 Speaker 1: River Cafe sitting, you know, all the way down there, 116 00:06:13,400 --> 00:06:16,040 Speaker 1: and so I just moved their table so that they 117 00:06:16,040 --> 00:06:18,640 Speaker 1: could sit closer to the kitchen because they were so interested, 118 00:06:18,960 --> 00:06:22,120 Speaker 1: and they were sitting beside behind somebody they'd see on 119 00:06:22,160 --> 00:06:25,279 Speaker 1: an airplane, you know, and they were here and the 120 00:06:25,360 --> 00:06:29,360 Speaker 1: interaction and as you say, the collisions, you knows, a 121 00:06:29,400 --> 00:06:31,240 Speaker 1: little bit hard for a way to get through or 122 00:06:31,320 --> 00:06:33,760 Speaker 1: to bring food to a table. But I think that 123 00:06:34,160 --> 00:06:35,360 Speaker 1: does happen in a restaurant. 124 00:06:35,480 --> 00:06:36,440 Speaker 3: I think more. 125 00:06:36,360 --> 00:06:41,680 Speaker 2: Than anything, what we're seeing is people want human connection. 126 00:06:42,160 --> 00:06:45,760 Speaker 2: They want to be around the energy of people, you know, 127 00:06:45,760 --> 00:06:48,480 Speaker 2: it's humanity, the liveliness of it. 128 00:06:48,560 --> 00:06:50,719 Speaker 1: What is your food day before? When we get to 129 00:06:50,720 --> 00:06:52,919 Speaker 1: the food at Google, So you wake up in the 130 00:06:52,920 --> 00:06:54,560 Speaker 1: morning and what do you have for breakfast. 131 00:06:54,960 --> 00:06:59,480 Speaker 2: I'm a pretty regimented person. All have coffee when I 132 00:06:59,520 --> 00:07:01,680 Speaker 2: get up in the morning, but when I get to 133 00:07:01,720 --> 00:07:03,640 Speaker 2: Google playing yogurt and berries. 134 00:07:03,600 --> 00:07:06,039 Speaker 1: And we'll be in your office and we have collide 135 00:07:06,040 --> 00:07:07,320 Speaker 1: into somebody else having yoga. 136 00:07:07,320 --> 00:07:10,280 Speaker 2: Well usually will collide into somebody when I'm picking something up, 137 00:07:10,280 --> 00:07:12,760 Speaker 2: and then we all have these wonderful baristas, which is 138 00:07:12,800 --> 00:07:15,200 Speaker 2: lovely because then you're waiting for the cappuccino or whatever 139 00:07:15,280 --> 00:07:17,680 Speaker 2: to be made, and then there are more casual collisions. 140 00:07:18,120 --> 00:07:19,480 Speaker 2: So it's fun running into the. 141 00:07:19,520 --> 00:07:22,280 Speaker 1: Interesting point that you Actually, I like that idea that 142 00:07:22,520 --> 00:07:25,240 Speaker 1: next time we keep somebody waiting, that's the coffee. We 143 00:07:25,280 --> 00:07:27,040 Speaker 1: can say we did it on purpose so you could 144 00:07:27,040 --> 00:07:27,760 Speaker 1: have a collision. 145 00:07:27,840 --> 00:07:29,480 Speaker 3: Exactly, it's a good. 146 00:07:29,360 --> 00:07:33,160 Speaker 1: Way for your coffee. You created an opportunity. 147 00:07:32,520 --> 00:07:34,200 Speaker 3: For sivity and innovation. 148 00:07:34,880 --> 00:07:37,800 Speaker 2: Do you realize what kind of you think? 149 00:07:37,800 --> 00:07:40,800 Speaker 3: This is just a slow coffee baker. Exactly, No, it's 150 00:07:40,880 --> 00:07:44,040 Speaker 3: very deliberate. We like to intend. It's deliberate. And then 151 00:07:45,440 --> 00:07:48,920 Speaker 3: at lunch, same thing. I'll go back and to the. 152 00:07:48,880 --> 00:07:51,320 Speaker 1: Same micro kitchen or do you step further. 153 00:07:51,400 --> 00:07:53,720 Speaker 2: The micro kitchens are for snacks. We want to make 154 00:07:53,760 --> 00:07:56,880 Speaker 2: sure that we're being as smart as possible. And it 155 00:07:56,960 --> 00:07:59,440 Speaker 2: sounds like you have a very similar system here actually, 156 00:08:00,040 --> 00:08:05,960 Speaker 2: where every day after lunch, they'll see what was left over, 157 00:08:06,160 --> 00:08:09,000 Speaker 2: in particular vegetables and greens, and then they'll create a 158 00:08:09,120 --> 00:08:11,480 Speaker 2: bit of a friendly competition amongst the chefts and the 159 00:08:11,560 --> 00:08:15,280 Speaker 2: various restaurants to come up with some way to reuse that. 160 00:08:15,960 --> 00:08:18,000 Speaker 2: But it has to be a completely new dish, so 161 00:08:18,120 --> 00:08:20,960 Speaker 2: it doesn't it's not a reheating, it's how can you 162 00:08:21,000 --> 00:08:25,239 Speaker 2: do something super creative, and we've meaningfully reduced food waste 163 00:08:25,240 --> 00:08:27,400 Speaker 2: as a result. I think the best ideas come when 164 00:08:27,440 --> 00:08:30,160 Speaker 2: you have people around it. You too, and so we 165 00:08:30,320 --> 00:08:32,800 Speaker 2: you know, very very much to this day, it's about 166 00:08:32,880 --> 00:08:35,040 Speaker 2: let's get people around a table and then you build 167 00:08:35,080 --> 00:08:37,600 Speaker 2: on one another, and it's different when you're together. 168 00:08:37,679 --> 00:08:41,600 Speaker 1: We were talking to the chefs here about how Google 169 00:08:41,679 --> 00:08:44,079 Speaker 1: and the work you're doing in AI is going to 170 00:08:44,120 --> 00:08:47,720 Speaker 1: make more communication. I think that people fear with technologies 171 00:08:47,760 --> 00:08:50,920 Speaker 1: it will take us away, and I think that what 172 00:08:51,000 --> 00:08:53,640 Speaker 1: you were talking about was how it can bring us together. 173 00:08:53,679 --> 00:08:56,400 Speaker 1: And I'd like to know because I know that food 174 00:08:56,720 --> 00:09:00,360 Speaker 1: and AI and restaurants we're all going to be working 175 00:09:00,360 --> 00:09:03,280 Speaker 1: together and without the fear and without you know, with 176 00:09:03,360 --> 00:09:04,600 Speaker 1: the idea of how we can do it. 177 00:09:04,960 --> 00:09:09,360 Speaker 2: So I think that technology has to be a tool. 178 00:09:09,200 --> 00:09:11,480 Speaker 3: That benefits us. 179 00:09:12,280 --> 00:09:14,640 Speaker 2: It For me, the way I use it in my 180 00:09:14,760 --> 00:09:17,880 Speaker 2: daily life is I have this, I use AI to 181 00:09:18,280 --> 00:09:22,560 Speaker 2: help ingest content and respond to things I need to 182 00:09:22,600 --> 00:09:23,120 Speaker 2: send out. 183 00:09:24,559 --> 00:09:25,720 Speaker 3: That's not the magic of it. 184 00:09:25,800 --> 00:09:27,880 Speaker 2: The magic of it is that it then gives me 185 00:09:27,960 --> 00:09:30,280 Speaker 2: time to spend where I want to spend time. 186 00:09:30,559 --> 00:09:31,760 Speaker 3: Yeah, so what. 187 00:09:31,800 --> 00:09:36,080 Speaker 2: I think exactly exactly, and so you know, when I 188 00:09:36,120 --> 00:09:41,160 Speaker 2: think about it, about half a small business's use are 189 00:09:41,280 --> 00:09:44,559 Speaker 2: using AI now, and the ones that are using it 190 00:09:45,160 --> 00:09:49,880 Speaker 2: are seeing an uplift in revenues and profitability because it's 191 00:09:49,960 --> 00:09:53,040 Speaker 2: letting them do things that they need to have done, 192 00:09:53,240 --> 00:09:57,960 Speaker 2: like reaching customers or planning what's in their inventory in 193 00:09:58,559 --> 00:10:03,720 Speaker 2: ways that help the business. So, to me, the most 194 00:10:03,760 --> 00:10:07,440 Speaker 2: interesting part about technology is to try and understand what 195 00:10:07,480 --> 00:10:09,680 Speaker 2: are pain points that I have in my life or 196 00:10:09,720 --> 00:10:13,280 Speaker 2: in my business or in anything, and using it to 197 00:10:13,360 --> 00:10:16,920 Speaker 2: be an assist, a partner to getting it done faster. 198 00:10:17,000 --> 00:10:17,720 Speaker 3: It's sort of like. 199 00:10:19,160 --> 00:10:22,839 Speaker 2: This a simplistic way of stating it, but my dad 200 00:10:22,960 --> 00:10:26,040 Speaker 2: actually used a slide rule and then we used a calculator. 201 00:10:26,160 --> 00:10:27,240 Speaker 3: Like just the ease of. 202 00:10:27,200 --> 00:10:29,440 Speaker 2: It still requires me to do the thinking that I 203 00:10:29,559 --> 00:10:32,360 Speaker 2: need to do, but it's an assist to what I'm doing. 204 00:10:32,400 --> 00:10:36,319 Speaker 2: So small businesses are seeing a lot of different ways 205 00:10:36,400 --> 00:10:40,000 Speaker 2: of using it, whether it's creating the marketing materials or 206 00:10:40,080 --> 00:10:43,600 Speaker 2: reaching customers, or as I said, some of the operational 207 00:10:43,640 --> 00:10:45,719 Speaker 2: elements of it, so that you can then spend time 208 00:10:45,760 --> 00:10:46,760 Speaker 2: where you want to spend time. 209 00:10:47,240 --> 00:10:49,560 Speaker 1: The most relevant fact about what we're all doing in 210 00:10:49,559 --> 00:10:52,640 Speaker 1: food is how to feed people, How to feed people 211 00:10:52,679 --> 00:10:56,600 Speaker 1: through food bags, how people through technology. What do you 212 00:10:56,600 --> 00:11:01,160 Speaker 1: feel about the responsibility of corporations will have the knowledge 213 00:11:01,240 --> 00:11:05,800 Speaker 1: and the technology ability to feed people who have no food? 214 00:11:06,160 --> 00:11:10,319 Speaker 2: You know, I think you're you're making a really important point. 215 00:11:10,559 --> 00:11:13,560 Speaker 2: It's so often and I'm thinking of it in the 216 00:11:13,600 --> 00:11:16,199 Speaker 2: context of what's the role of technology? And I think 217 00:11:16,200 --> 00:11:19,040 Speaker 2: there is a role of technology, And I think too 218 00:11:19,160 --> 00:11:27,160 Speaker 2: often when people are assessing technology in particular today, they're 219 00:11:27,200 --> 00:11:30,720 Speaker 2: focusing on what are some of the downside risks. They're 220 00:11:30,760 --> 00:11:35,800 Speaker 2: not starting with the prem the realization that things aren't 221 00:11:35,920 --> 00:11:36,920 Speaker 2: as good as. 222 00:11:36,760 --> 00:11:38,400 Speaker 3: They should be in society. 223 00:11:38,559 --> 00:11:40,440 Speaker 2: And I'm going to answer your question on food, but 224 00:11:40,480 --> 00:11:45,600 Speaker 2: you're hitting something that's really important to me and broadening 225 00:11:45,640 --> 00:11:51,720 Speaker 2: it out. You know, today the disparities depending on what 226 00:11:51,800 --> 00:11:55,040 Speaker 2: your postal code are. I think are unconscionable when we 227 00:11:55,120 --> 00:11:57,199 Speaker 2: can address it, and you're getting at that with food. 228 00:11:57,240 --> 00:12:01,120 Speaker 2: But an area that's I'm focus on quite a bit 229 00:12:01,400 --> 00:12:05,840 Speaker 2: is how can technology help address health issues? 230 00:12:06,840 --> 00:12:08,360 Speaker 3: And what I. 231 00:12:08,400 --> 00:12:12,840 Speaker 2: Find to be really distressing is there are treatable cancers 232 00:12:14,440 --> 00:12:18,080 Speaker 2: and the survival rate, depending on your postal code, can 233 00:12:18,120 --> 00:12:21,400 Speaker 2: be fifty percent lower than what you or I would 234 00:12:21,400 --> 00:12:24,680 Speaker 2: be would have. In America, more than half of the 235 00:12:24,760 --> 00:12:29,079 Speaker 2: adults don't read at the sixth grade level. Your point 236 00:12:29,160 --> 00:12:33,760 Speaker 2: about did you say half? More than half? Fifty twenty 237 00:12:33,800 --> 00:12:35,880 Speaker 2: four percent of adults in America read at six grade 238 00:12:35,920 --> 00:12:40,080 Speaker 2: level or below? When you talk about food, when you 239 00:12:40,160 --> 00:12:44,920 Speaker 2: talk about there are floods and fires, and why aren't 240 00:12:44,920 --> 00:12:47,720 Speaker 2: we getting people out of harm's weight faster? Why don't 241 00:12:47,720 --> 00:12:51,040 Speaker 2: we give them day's notice not minutes notice? These are 242 00:12:51,080 --> 00:12:54,319 Speaker 2: all problems that exist, and these are problems that can 243 00:12:54,320 --> 00:12:57,439 Speaker 2: be addressed with technology and are being addressed with technology. 244 00:12:57,480 --> 00:12:59,760 Speaker 3: And I think it's so important. 245 00:12:59,520 --> 00:13:01,520 Speaker 2: To start with what's the state of the world today 246 00:13:01,559 --> 00:13:04,559 Speaker 2: and can we fix it and make sure we're focusing 247 00:13:04,600 --> 00:13:06,679 Speaker 2: on what's the upside because it's so easy to be 248 00:13:07,600 --> 00:13:12,520 Speaker 2: scared about change, and that's what I get excited about 249 00:13:12,559 --> 00:13:14,400 Speaker 2: So you and I have talked about this. I was 250 00:13:14,440 --> 00:13:17,160 Speaker 2: in Asia and a prime minister said to me, how 251 00:13:17,200 --> 00:13:20,960 Speaker 2: can technology help with the lowest economic strata in my 252 00:13:21,040 --> 00:13:22,200 Speaker 2: country with farmers? 253 00:13:22,320 --> 00:13:23,199 Speaker 1: Can farmers? 254 00:13:23,880 --> 00:13:27,440 Speaker 2: And the answer is yes, and in fact it was 255 00:13:27,720 --> 00:13:31,679 Speaker 2: a joy. Last year I was with Ajibongga, the head 256 00:13:31,679 --> 00:13:35,160 Speaker 2: of the World Bank, during World Bank Week and we 257 00:13:35,200 --> 00:13:40,840 Speaker 2: announced a platform that farmers can use that enables them 258 00:13:40,920 --> 00:13:47,200 Speaker 2: on their Android phone, which is more ubiquitous in developing markets, 259 00:13:47,880 --> 00:13:51,000 Speaker 2: to get pre crop information. So how can you see 260 00:13:51,040 --> 00:13:54,680 Speaker 2: when you have an infestation risk? You can use your 261 00:13:54,720 --> 00:13:57,960 Speaker 2: phone and you can get information like AI can help 262 00:13:58,000 --> 00:14:01,280 Speaker 2: you see when there's a problem to intervene or and 263 00:14:01,520 --> 00:14:03,880 Speaker 2: all the way through to the back end. How can 264 00:14:03,920 --> 00:14:08,640 Speaker 2: you understand post crop issues? What about markets? Where should 265 00:14:08,679 --> 00:14:10,839 Speaker 2: you send it so that you don't see actually this 266 00:14:11,480 --> 00:14:15,400 Speaker 2: diminution of the ability to sell it all all profitably. 267 00:14:15,880 --> 00:14:19,240 Speaker 2: We can help farmers and we've done a pilot with 268 00:14:19,400 --> 00:14:22,200 Speaker 2: thousands of farmers in India and you see an uplift 269 00:14:22,280 --> 00:14:25,680 Speaker 2: in their earnings because they're having access to information that 270 00:14:25,720 --> 00:14:28,480 Speaker 2: can make a difference in their life. So I get 271 00:14:28,520 --> 00:14:32,080 Speaker 2: excited when you say in health, we've got to close 272 00:14:32,160 --> 00:14:35,000 Speaker 2: that gap in early detection of disease is what's going 273 00:14:35,040 --> 00:14:40,080 Speaker 2: to make a difference in food, food scarcity, food security. 274 00:14:40,200 --> 00:14:42,360 Speaker 2: We've got to do better. And if you can use 275 00:14:42,400 --> 00:14:46,920 Speaker 2: information to actually increase crop yields and increase the ability 276 00:14:46,920 --> 00:14:50,120 Speaker 2: to get to market, we should be doing it. Those 277 00:14:50,120 --> 00:14:52,720 Speaker 2: are areas where I get I think that it's exciting 278 00:14:52,760 --> 00:14:54,160 Speaker 2: to see that are the possible. 279 00:14:57,720 --> 00:14:59,920 Speaker 1: What did you have growing up? Tell me about the fact. 280 00:15:00,480 --> 00:15:03,160 Speaker 2: So I was born in England. I was born in 281 00:15:03,160 --> 00:15:06,120 Speaker 2: the north of England, right outside of Manchester and Sale. 282 00:15:06,760 --> 00:15:09,640 Speaker 2: And the way we arrived to England is my father 283 00:15:10,480 --> 00:15:14,960 Speaker 2: had grown up in Vienna and his father was taken 284 00:15:15,000 --> 00:15:19,080 Speaker 2: on Kristelnacht and that's when he realized he needed to 285 00:15:19,120 --> 00:15:20,120 Speaker 2: get out of Austria. 286 00:15:20,400 --> 00:15:21,640 Speaker 1: How old was he met. 287 00:15:21,600 --> 00:15:24,200 Speaker 2: He was fifteen and so he was able to escape 288 00:15:24,240 --> 00:15:25,000 Speaker 2: on a youth boat. 289 00:15:25,200 --> 00:15:27,040 Speaker 3: The rest of his family could not get out. They 290 00:15:27,080 --> 00:15:28,120 Speaker 3: all perished in. 291 00:15:28,080 --> 00:15:31,800 Speaker 2: The camps, and as soon as he was of age 292 00:15:31,880 --> 00:15:35,760 Speaker 2: he enlisted in the British Army. He ended up fighting 293 00:15:35,880 --> 00:15:39,200 Speaker 2: in the two battles of El a Leimann. His high 294 00:15:39,240 --> 00:15:42,240 Speaker 2: school had been closed down in Vienna, so he never 295 00:15:42,280 --> 00:15:45,480 Speaker 2: completed high school and as he was fighting in the 296 00:15:45,480 --> 00:15:49,800 Speaker 2: British Army. He concluded that if he were to survive, 297 00:15:50,400 --> 00:15:52,960 Speaker 2: education would be his passport to freedom. That was the 298 00:15:53,000 --> 00:15:55,520 Speaker 2: phrase I heard over and over again as a child, 299 00:15:56,080 --> 00:15:59,120 Speaker 2: and so he actually started to teach himself engineering while 300 00:15:59,120 --> 00:16:02,360 Speaker 2: fighting in the North of Africa. And he used to 301 00:16:02,400 --> 00:16:05,440 Speaker 2: tell us that his fellow soldiers would tease him that 302 00:16:05,480 --> 00:16:08,160 Speaker 2: he would die before he could ever use this education, 303 00:16:08,440 --> 00:16:11,440 Speaker 2: and his answer was, I would rather die an educated man. 304 00:16:12,360 --> 00:16:16,280 Speaker 2: And he survived and then went to what was then Palestine, 305 00:16:16,480 --> 00:16:21,320 Speaker 2: fought more of independence and eventually was invited to Manchester, 306 00:16:21,440 --> 00:16:25,360 Speaker 2: to the University of Manchester to get a master's in physics. 307 00:16:25,680 --> 00:16:31,720 Speaker 2: So then I was born there and he eventually was 308 00:16:31,760 --> 00:16:37,520 Speaker 2: invited to first Harvard and then Stanford where he designed 309 00:16:37,720 --> 00:16:41,560 Speaker 2: the atom smasher. But he always taught us education as 310 00:16:41,600 --> 00:16:42,560 Speaker 2: the passport to freedom. 311 00:16:42,600 --> 00:16:44,480 Speaker 1: Do you have memories of the houses and what they 312 00:16:44,520 --> 00:16:46,600 Speaker 1: looked like, where your kitchen was? 313 00:16:46,720 --> 00:16:52,120 Speaker 2: So I've gone back to my home in Sale, and 314 00:16:52,920 --> 00:16:56,800 Speaker 2: my best memory from Sale is whenever it was a rainy, 315 00:16:56,840 --> 00:16:59,600 Speaker 2: misty day, my father would say, let's go run in 316 00:16:59,600 --> 00:17:02,640 Speaker 2: the rugby. We'd lived in the tiny little apartment building 317 00:17:03,080 --> 00:17:05,359 Speaker 2: and we'd run in the rugby field. 318 00:17:05,600 --> 00:17:08,000 Speaker 3: I went back there recently and saw that rugby field. 319 00:17:08,000 --> 00:17:11,040 Speaker 3: It was beautiful. And then I lived in a little 320 00:17:11,040 --> 00:17:12,280 Speaker 3: home in Palo Alto. 321 00:17:12,880 --> 00:17:13,800 Speaker 1: What about your mother? 322 00:17:14,280 --> 00:17:19,080 Speaker 2: My mother was a psychologist, an extraordinary psychologist and entrepreneur. 323 00:17:19,240 --> 00:17:22,800 Speaker 2: She ended up creating something called the Center for Creativity 324 00:17:22,840 --> 00:17:25,760 Speaker 2: and Growth in Palo Alto. When I was a kid, 325 00:17:26,800 --> 00:17:28,840 Speaker 2: she was in a complete free spirit. She was an 326 00:17:28,960 --> 00:17:33,560 Speaker 2: artist and a dancer. Just as as sort of regimented 327 00:17:33,600 --> 00:17:36,280 Speaker 2: as my father was as an engineer and physicist, creative 328 00:17:36,280 --> 00:17:38,240 Speaker 2: in his own way. My mother was an artist and 329 00:17:38,280 --> 00:17:40,800 Speaker 2: painter and psychologist. She was amazing. 330 00:17:41,320 --> 00:17:42,040 Speaker 1: You have a sister. 331 00:17:42,280 --> 00:17:43,359 Speaker 3: I have a. 332 00:17:43,000 --> 00:17:46,640 Speaker 2: Younger sister and an older brother. He was really active 333 00:17:46,680 --> 00:17:49,400 Speaker 2: in the Vietnam War movement. Moved out when I was five, 334 00:17:50,000 --> 00:17:52,000 Speaker 2: and my little sister and I she was a year 335 00:17:52,000 --> 00:17:55,760 Speaker 2: and a half younger, called ourselves co conspirators. My best friend. 336 00:17:56,080 --> 00:17:58,440 Speaker 1: Yeah, so you would have your meals, But how did 337 00:17:58,480 --> 00:18:01,679 Speaker 1: your parents both working? They have organized that. 338 00:18:01,880 --> 00:18:02,960 Speaker 3: My parents both worked. 339 00:18:03,400 --> 00:18:07,320 Speaker 2: My mother was actually a truly horrendous cook and would 340 00:18:07,359 --> 00:18:10,600 Speaker 2: just whip something together for dinner, so we would always 341 00:18:10,640 --> 00:18:11,200 Speaker 2: come to dinner. 342 00:18:11,320 --> 00:18:12,280 Speaker 3: That was a lovely part. 343 00:18:12,480 --> 00:18:16,400 Speaker 2: Yeah, her food was not what you would want to eat. 344 00:18:16,480 --> 00:18:18,840 Speaker 2: My father used to always joke that the food was 345 00:18:18,840 --> 00:18:22,000 Speaker 2: better in the British Army than it was. 346 00:18:21,840 --> 00:18:22,760 Speaker 3: It was pretty bad. 347 00:18:24,280 --> 00:18:27,119 Speaker 2: Yeah, I actually I was reminiscing about that as I 348 00:18:27,200 --> 00:18:31,320 Speaker 2: was coming over here, and I realized that not until 349 00:18:31,400 --> 00:18:34,159 Speaker 2: my twenties did I realize that a beautiful piece of 350 00:18:34,200 --> 00:18:36,440 Speaker 2: salmon shouldn't taste like a hockey puck because she just 351 00:18:36,480 --> 00:18:38,760 Speaker 2: put everything in the oven and cooked it and cooked it. 352 00:18:39,760 --> 00:18:43,280 Speaker 1: She's a wonderful mom, but not Yeah, it was quite 353 00:18:43,280 --> 00:18:46,040 Speaker 1: an academic world. It wasn't very much. 354 00:18:46,240 --> 00:18:47,800 Speaker 3: What was your father's theory about the. 355 00:18:47,840 --> 00:18:49,800 Speaker 2: Clark even and I have talked about the cark test. 356 00:18:50,119 --> 00:18:53,399 Speaker 2: So my father was at the Stanford Linear Accelerator Center 357 00:18:53,720 --> 00:18:58,080 Speaker 2: and a physicist, and when I was pretty young, he 358 00:18:58,160 --> 00:19:00,520 Speaker 2: said to me, you know, if someone in my lab 359 00:19:00,720 --> 00:19:04,199 Speaker 2: can't define a quark in less than thirty seconds, they 360 00:19:04,200 --> 00:19:05,439 Speaker 2: don't know what they're talking about. 361 00:19:05,680 --> 00:19:06,160 Speaker 3: Okay. 362 00:19:06,200 --> 00:19:10,320 Speaker 2: And later in life I remembered that story because when 363 00:19:10,320 --> 00:19:11,960 Speaker 2: I would be at work and I would ask somebody 364 00:19:11,960 --> 00:19:14,919 Speaker 2: a question and they would give me some long, rambling answer, 365 00:19:15,000 --> 00:19:17,879 Speaker 2: I realized they would fail my dad's quark tests. So 366 00:19:17,880 --> 00:19:19,920 Speaker 2: I've been using the quark test for a long time, 367 00:19:19,960 --> 00:19:22,040 Speaker 2: which is, if you can't tell me something in less 368 00:19:22,040 --> 00:19:24,760 Speaker 2: than thirty seconds that's supposed to be in your technical domain, 369 00:19:25,280 --> 00:19:28,480 Speaker 2: then you probably don't. You probably haven't really scrubbed what 370 00:19:28,480 --> 00:19:32,080 Speaker 2: you're doing. I make them go back to the drawing work, 371 00:19:32,119 --> 00:19:34,879 Speaker 2: back to the drawing book, like either you understand it 372 00:19:34,920 --> 00:19:37,320 Speaker 2: and you understand why it's important and you can therefore 373 00:19:37,359 --> 00:19:39,400 Speaker 2: explain it, or you have failed the quark test. 374 00:19:39,480 --> 00:19:41,600 Speaker 1: Somebody said that the other day, Scot Galloway said that 375 00:19:41,680 --> 00:19:44,560 Speaker 1: if you asked somebody what they're doing in life and 376 00:19:44,600 --> 00:19:46,040 Speaker 1: they can't describe. 377 00:19:45,640 --> 00:19:48,440 Speaker 2: It quite quickly, it's they don't really know maybe a problem. 378 00:19:48,480 --> 00:19:50,720 Speaker 2: I saw that in my prior life at Morgan Stanley 379 00:19:50,720 --> 00:19:52,800 Speaker 2: when somebody would come in with the trade that they 380 00:19:52,840 --> 00:19:54,760 Speaker 2: said was a great trade, and you'd ask them to 381 00:19:54,800 --> 00:19:57,719 Speaker 2: explain why was it a great trade, and the answer 382 00:19:57,800 --> 00:20:00,119 Speaker 2: would fail my dad's quark test. And I'm like, Okay, 383 00:20:00,280 --> 00:20:02,199 Speaker 2: I may not quite understand what you're doing, but if 384 00:20:02,240 --> 00:20:04,040 Speaker 2: you can't explain it to me, you don't either. 385 00:20:04,240 --> 00:20:06,879 Speaker 1: Did you feel when fat when you tasted that first 386 00:20:06,920 --> 00:20:09,919 Speaker 1: piece of salmon? That was something amazing? Because you are 387 00:20:09,960 --> 00:20:12,560 Speaker 1: a good eater. I've eaten with you in many places, 388 00:20:12,560 --> 00:20:15,200 Speaker 1: and I know how funny I do, how important food 389 00:20:15,280 --> 00:20:17,280 Speaker 1: is to you. So was there a kind of oh 390 00:20:17,359 --> 00:20:18,919 Speaker 1: food could taste like this moment? 391 00:20:19,160 --> 00:20:21,480 Speaker 2: Or do you think it was just I Well, the 392 00:20:21,560 --> 00:20:24,360 Speaker 2: salmon is a funny one because my mother cooked salmon 393 00:20:24,520 --> 00:20:26,920 Speaker 2: all the time, but it really was a hockey puck, 394 00:20:27,280 --> 00:20:29,280 Speaker 2: so I thought I didn't like it, and then when 395 00:20:29,320 --> 00:20:32,520 Speaker 2: I finally had something that was properly cooked, you're right, 396 00:20:32,600 --> 00:20:36,080 Speaker 2: It's like, oh, we can start expanding our horizon. 397 00:20:36,400 --> 00:20:39,480 Speaker 1: That's what Paul McCartney said about wine, because when he 398 00:20:39,520 --> 00:20:42,040 Speaker 1: and John Lennon, it's a story I love it says 399 00:20:42,080 --> 00:20:44,119 Speaker 1: a lot. I think that when he and John Lennon 400 00:20:44,119 --> 00:20:46,680 Speaker 1: went to Paris for the first time, John Lennon's at 401 00:20:46,720 --> 00:20:50,120 Speaker 1: gave them ten pounds for a week and so, which 402 00:20:50,200 --> 00:20:53,040 Speaker 1: was okay those days, but they never could have anything 403 00:20:53,080 --> 00:20:55,919 Speaker 1: but the cheapest wine. So they thought that wine was 404 00:20:55,960 --> 00:20:58,680 Speaker 1: just a horrible drink, right, why would anybody like this? 405 00:20:59,119 --> 00:21:02,600 Speaker 1: Until Brian he took them out to a fancy restaurant. 406 00:21:02,640 --> 00:21:04,480 Speaker 1: Then they had a good class of wine, and then 407 00:21:04,680 --> 00:21:05,760 Speaker 1: you know, because. 408 00:21:05,600 --> 00:21:08,159 Speaker 2: Yeah, well I found that over the years. Now, my 409 00:21:08,240 --> 00:21:11,800 Speaker 2: favorite way to go out to a restaurant maybe to 410 00:21:11,840 --> 00:21:14,119 Speaker 2: make up for all the last years is I don't 411 00:21:14,280 --> 00:21:17,600 Speaker 2: actually just like to have my dish to myself. I 412 00:21:17,640 --> 00:21:20,080 Speaker 2: would rather everybody orders and then you get to taste 413 00:21:20,080 --> 00:21:20,840 Speaker 2: every share. 414 00:21:21,160 --> 00:21:24,159 Speaker 1: Yeah, sharing is a big thing, you know, Shary, we 415 00:21:24,560 --> 00:21:27,240 Speaker 1: do it here. I mean obviously people order three or 416 00:21:27,280 --> 00:21:29,840 Speaker 1: four pastas or three or four of that, and then 417 00:21:29,880 --> 00:21:32,840 Speaker 1: they're the people again. Someone I talked to who said 418 00:21:32,880 --> 00:21:35,800 Speaker 1: that they grew up with poverty and your you know, 419 00:21:36,080 --> 00:21:38,520 Speaker 1: your plate was your plate. The idea of actually writing 420 00:21:38,680 --> 00:21:41,240 Speaker 1: anything off your plate as a child to give to 421 00:21:41,320 --> 00:21:43,840 Speaker 1: somebody else when you knew you weren't going to get anyway. 422 00:21:43,840 --> 00:21:45,639 Speaker 2: Well, the joke in the family, as my husband is 423 00:21:46,680 --> 00:21:48,960 Speaker 2: that school I'm not going to share. The kids and 424 00:21:49,000 --> 00:21:51,560 Speaker 2: I are all sharing. It's it's fun, makes it fun, 425 00:21:51,720 --> 00:21:52,480 Speaker 2: it's an adventure. 426 00:21:55,600 --> 00:21:57,800 Speaker 1: Or your time in pale Alto is growing up. But 427 00:21:57,960 --> 00:21:58,960 Speaker 1: tell me about Paleoto. 428 00:21:59,040 --> 00:22:00,800 Speaker 3: I only know one of the to who this say. 429 00:22:01,160 --> 00:22:09,040 Speaker 2: So it was a wonderful, innovative, creative academic environment. So 430 00:22:09,160 --> 00:22:13,080 Speaker 2: my father designed the atom smasher people around the table 431 00:22:13,680 --> 00:22:18,600 Speaker 2: where physicists went on to win Nobel prizes. My mother's 432 00:22:18,680 --> 00:22:21,720 Speaker 2: psychologist created this center for creativity and growth, and would 433 00:22:21,720 --> 00:22:25,480 Speaker 2: bring in psychologists from around the country, around the world 434 00:22:25,600 --> 00:22:29,240 Speaker 2: who would then speak at her center. So it was 435 00:22:29,520 --> 00:22:32,080 Speaker 2: always stimulus. Like we would have our dinner around the 436 00:22:32,119 --> 00:22:36,280 Speaker 2: dinner table, and then we were expected to go into 437 00:22:36,320 --> 00:22:38,320 Speaker 2: the living room together and we'd sit and we'd each 438 00:22:38,400 --> 00:22:40,919 Speaker 2: read our books and I remember like lying on the 439 00:22:40,920 --> 00:22:42,679 Speaker 2: floor reading the book, and that's what you would do. 440 00:22:44,119 --> 00:22:45,960 Speaker 2: It was a sweet It was a really sweet home. 441 00:22:46,200 --> 00:22:50,399 Speaker 2: I do remember in high school years later, one of 442 00:22:50,400 --> 00:22:52,240 Speaker 2: my friends said, you know, we always thought you were 443 00:22:52,560 --> 00:22:54,719 Speaker 2: sort of weird, but we thought you would make it 444 00:22:55,280 --> 00:22:58,399 Speaker 2: in life, which to me is an important message for 445 00:22:58,480 --> 00:22:59,359 Speaker 2: kids in high school. 446 00:22:59,400 --> 00:23:01,879 Speaker 3: It's like, well, if. 447 00:23:01,760 --> 00:23:03,879 Speaker 2: You know, in high school, if maybe I was a 448 00:23:03,880 --> 00:23:07,560 Speaker 2: bit odd and academic, that's fine, and just be who 449 00:23:07,600 --> 00:23:10,320 Speaker 2: you are and you got. 450 00:23:10,119 --> 00:23:11,479 Speaker 3: To follow that path yea. 451 00:23:11,560 --> 00:23:13,880 Speaker 1: And your parents encouraged it so that also they weren't 452 00:23:13,880 --> 00:23:16,800 Speaker 1: trying to make you into something right. Yeah, And did 453 00:23:16,840 --> 00:23:17,560 Speaker 1: you travel did that? 454 00:23:17,720 --> 00:23:18,679 Speaker 3: Did you go to Europe? 455 00:23:18,800 --> 00:23:20,600 Speaker 1: Did you go back to Vienna? 456 00:23:20,960 --> 00:23:25,560 Speaker 2: We didn't go to Vienna until about two thousand. 457 00:23:25,720 --> 00:23:27,800 Speaker 1: Does that hard for your father to go back? Yeah? 458 00:23:28,000 --> 00:23:30,760 Speaker 2: So when we moved back to England in the sixties, 459 00:23:32,080 --> 00:23:34,040 Speaker 2: it was the first time my father went back to 460 00:23:34,080 --> 00:23:36,439 Speaker 2: Austria to try and find the records of his family. 461 00:23:36,480 --> 00:23:39,240 Speaker 2: He didn't bring us as kids. And then in two 462 00:23:39,320 --> 00:23:43,760 Speaker 2: thousand I was living in London. We came and worked 463 00:23:43,760 --> 00:23:46,400 Speaker 2: here at the family I was working at Morgan Stanley 464 00:23:46,520 --> 00:23:49,879 Speaker 2: and my husband actually said, you know, it's time to 465 00:23:50,800 --> 00:23:53,280 Speaker 2: take the children on an oral history tour. And so 466 00:23:53,359 --> 00:23:56,600 Speaker 2: we brought my father over and said, don't don't sugarcoat it. 467 00:23:56,680 --> 00:23:59,919 Speaker 2: Take us through what it was like. And he planned 468 00:24:00,119 --> 00:24:03,520 Speaker 2: bit of a trip. But as we went through Vienna, 469 00:24:03,600 --> 00:24:06,080 Speaker 2: the doors just kept opening to more and more of 470 00:24:06,080 --> 00:24:09,000 Speaker 2: that memory and sort of on the last day, my 471 00:24:09,600 --> 00:24:12,240 Speaker 2: middle son said I want to stay with Grandpa in 472 00:24:12,320 --> 00:24:15,080 Speaker 2: his room and my father woke up in the middle 473 00:24:15,080 --> 00:24:19,040 Speaker 2: of the night trembling. Everything came pouring back. But then 474 00:24:19,080 --> 00:24:22,200 Speaker 2: he looked at his grandson and he said, we survived. 475 00:24:22,440 --> 00:24:27,919 Speaker 2: And for him it was realizing he had survived. He 476 00:24:28,000 --> 00:24:30,520 Speaker 2: lost all of his family, but now had this new family, 477 00:24:31,680 --> 00:24:35,760 Speaker 2: the grandchildren, the children and the grandchildren. And it's because 478 00:24:35,840 --> 00:24:38,879 Speaker 2: he said, it's stabilized. Yeah, he got a sense of 479 00:24:38,920 --> 00:24:44,760 Speaker 2: calm and for us that image of being in Austria. 480 00:24:44,280 --> 00:24:46,520 Speaker 3: And reliving it with him. 481 00:24:46,560 --> 00:24:53,680 Speaker 2: But then him, celebrating that, as he often said to us, 482 00:24:53,760 --> 00:24:56,240 Speaker 2: you can take away my family, you can take away 483 00:24:56,320 --> 00:24:58,600 Speaker 2: my state, you can't take away my mind, and we 484 00:24:58,680 --> 00:25:00,679 Speaker 2: can recreate it. 485 00:25:00,720 --> 00:25:03,040 Speaker 3: His joy, his joy from the family. 486 00:25:03,080 --> 00:25:04,000 Speaker 1: I wish I had met him. 487 00:25:04,119 --> 00:25:06,560 Speaker 3: He was amazing. He was absolutely amazing. 488 00:25:07,119 --> 00:25:08,200 Speaker 1: Did you go to Israel? 489 00:25:09,200 --> 00:25:12,160 Speaker 2: Yes, My mother's family was in Israel, So. 490 00:25:12,080 --> 00:25:14,959 Speaker 1: It's your mother. You had an Israeli grandmother who cooked. Yes. 491 00:25:15,200 --> 00:25:20,360 Speaker 2: So my mother's parents escaped from Russia in the early twenties, 492 00:25:20,480 --> 00:25:24,880 Speaker 2: and then my and then ended up spending their life there. 493 00:25:25,000 --> 00:25:27,200 Speaker 2: My mother, grandmother always thought she would end up back 494 00:25:27,200 --> 00:25:28,960 Speaker 2: in Russia, but stayed there. 495 00:25:29,600 --> 00:25:32,760 Speaker 1: And how is that? How is they've how is that experience? 496 00:25:32,880 --> 00:25:36,280 Speaker 1: She was so she never came to the state she lived. 497 00:25:36,440 --> 00:25:40,960 Speaker 2: Now, my grandfather ended up he built the roads in 498 00:25:41,160 --> 00:25:46,120 Speaker 2: what was then Palestine. And my grandmother was just this incredible, 499 00:25:46,480 --> 00:25:50,560 Speaker 2: loving grandmother who didn't know how to cook. I don't 500 00:25:50,600 --> 00:25:53,119 Speaker 2: know why my mother didn't inherit any of the skills. 501 00:25:53,280 --> 00:25:54,400 Speaker 2: My grandmother was amazing. 502 00:25:54,520 --> 00:25:56,399 Speaker 1: Yeah, do you remember what she cooked? 503 00:25:58,280 --> 00:26:02,679 Speaker 2: She cooked a lot of very traditional Russian dishes. And 504 00:26:02,720 --> 00:26:07,040 Speaker 2: the main thing about my grandmother was that for her 505 00:26:07,280 --> 00:26:12,320 Speaker 2: cooking was love and She spoke Russian, Yiddish, and Hebrew. 506 00:26:13,200 --> 00:26:15,879 Speaker 2: I don't speak any of them, but the one word 507 00:26:15,960 --> 00:26:19,000 Speaker 2: that was the word we shared that I did understand. 508 00:26:19,040 --> 00:26:23,000 Speaker 2: There a couple of them was essen. You must eat, 509 00:26:22,440 --> 00:26:25,639 Speaker 2: they eat, and she would always cook, cook, cook for 510 00:26:25,760 --> 00:26:29,320 Speaker 2: us and then say essen Essen And the only way 511 00:26:29,440 --> 00:26:32,520 Speaker 2: the way to express love to her was to eat. 512 00:26:32,680 --> 00:26:35,520 Speaker 2: And I remember, as a young kid, you get to 513 00:26:35,520 --> 00:26:37,880 Speaker 2: the point where you were trying to I was trying 514 00:26:37,920 --> 00:26:40,000 Speaker 2: to express my love to her so much that it 515 00:26:40,080 --> 00:26:43,959 Speaker 2: actually hurt that we ate so much. She was She 516 00:26:44,080 --> 00:26:47,879 Speaker 2: was incredible. I mean, the most amazing story about her 517 00:26:47,960 --> 00:26:54,280 Speaker 2: was actually her final day. So she went to the greengrocer, 518 00:26:54,920 --> 00:26:58,520 Speaker 2: paid off her debts, and then she went home and 519 00:26:59,480 --> 00:27:00,960 Speaker 2: spent the entire day. 520 00:27:01,080 --> 00:27:03,520 Speaker 3: Cooking and. 521 00:27:05,119 --> 00:27:10,439 Speaker 2: Filled the freezer with food, feel filled the fridge with food. 522 00:27:10,640 --> 00:27:12,240 Speaker 3: She was cooking for my grandpa. 523 00:27:13,200 --> 00:27:17,800 Speaker 2: And then she went to her bedroom and lay down, 524 00:27:17,840 --> 00:27:18,480 Speaker 2: and that was it. 525 00:27:18,880 --> 00:27:21,760 Speaker 1: Had did she have a sense of her But did 526 00:27:21,800 --> 00:27:22,040 Speaker 1: she have? 527 00:27:22,200 --> 00:27:25,000 Speaker 2: She must have She knew she didn't do that on 528 00:27:25,119 --> 00:27:27,760 Speaker 2: every Tuesday. This was sometime she went and she paid 529 00:27:27,760 --> 00:27:30,480 Speaker 2: her debts, so she must have known, and she prepared 530 00:27:31,200 --> 00:27:32,800 Speaker 2: my grandpa to be there without her. 531 00:27:33,040 --> 00:27:35,280 Speaker 3: Well, yeah, so food was loved. 532 00:27:38,359 --> 00:27:41,400 Speaker 2: I want to go back to your Waimo ride because yeah, 533 00:27:41,440 --> 00:27:44,000 Speaker 2: well it's relevant here, very amazing. 534 00:27:44,040 --> 00:27:46,159 Speaker 3: When I said, do you want to go into Waimo. 535 00:27:45,960 --> 00:27:50,400 Speaker 2: You're meat like seriously, yeah, seriously, of course we must 536 00:27:50,480 --> 00:27:53,080 Speaker 2: go in a way, And I said, I'll go with you, 537 00:27:53,240 --> 00:27:56,800 Speaker 2: and trust me, after a minute, it's going to seem 538 00:27:56,880 --> 00:28:00,240 Speaker 2: totally normal. And after probably three minutes you might be 539 00:28:00,280 --> 00:28:02,240 Speaker 2: a bit bored and you're going to start doing something else. 540 00:28:02,800 --> 00:28:06,639 Speaker 2: But it's that first jump that you're like, bring it on. 541 00:28:07,080 --> 00:28:10,080 Speaker 2: But that first which is what you're saying with technology 542 00:28:10,119 --> 00:28:14,000 Speaker 2: more broadly, but that first jump. For people, it is 543 00:28:14,119 --> 00:28:16,840 Speaker 2: really helpful to go through a training program or have 544 00:28:16,960 --> 00:28:19,080 Speaker 2: somebody by your side. And I would say even when 545 00:28:19,160 --> 00:28:21,880 Speaker 2: I did it, and I brought in some engineers and said, okay, 546 00:28:21,920 --> 00:28:24,239 Speaker 2: take me through everything. All the magic's been done by 547 00:28:24,240 --> 00:28:26,240 Speaker 2: the engineers. Then the question is how do I want 548 00:28:26,240 --> 00:28:29,359 Speaker 2: to use it for me? Like you, you're in the 549 00:28:29,400 --> 00:28:31,400 Speaker 2: driver's seat, how do I want how can it give 550 00:28:31,440 --> 00:28:34,639 Speaker 2: me time back? But it's that first jump. And in fact, 551 00:28:34,960 --> 00:28:38,520 Speaker 2: there's some research recently that I find very distressing that 552 00:28:38,560 --> 00:28:44,200 Speaker 2: women are twenty percent less likely than men to engage, 553 00:28:44,480 --> 00:28:47,479 Speaker 2: and yet it's really easy to address. When you do 554 00:28:47,560 --> 00:28:50,680 Speaker 2: a kind of just start a training program, then you 555 00:28:50,720 --> 00:28:56,239 Speaker 2: see this three x increase in utilization. So it's just 556 00:28:56,320 --> 00:28:59,240 Speaker 2: that first step, and I think then you play around 557 00:28:59,240 --> 00:29:00,360 Speaker 2: with it and figure out out. 558 00:29:00,240 --> 00:29:00,960 Speaker 3: What does it mean for you. 559 00:29:01,200 --> 00:29:05,360 Speaker 1: A conversation about women, you know, your life, you're the 560 00:29:05,400 --> 00:29:09,480 Speaker 1: way you've worked. Your father and encouraging you. I would 561 00:29:09,480 --> 00:29:13,120 Speaker 1: have liked to have done a podcast with him, but 562 00:29:13,320 --> 00:29:16,120 Speaker 1: there was something I read that he would take you 563 00:29:16,280 --> 00:29:19,440 Speaker 1: into the garage after you did your homework to solder, 564 00:29:20,120 --> 00:29:24,120 Speaker 1: make radios and working with tools, and so what was 565 00:29:24,160 --> 00:29:26,280 Speaker 1: that like? What did that teach you? 566 00:29:26,320 --> 00:29:29,080 Speaker 2: When I was quite young, I must have been ten 567 00:29:29,120 --> 00:29:32,200 Speaker 2: to eleven now, he first taught me how to solder, 568 00:29:33,680 --> 00:29:37,640 Speaker 2: you know it's super hot iron melting metals, so that 569 00:29:37,680 --> 00:29:42,920 Speaker 2: we could actually build build things and built built a radio, 570 00:29:42,960 --> 00:29:45,560 Speaker 2: we built a binary adding machine. He would take me 571 00:29:45,640 --> 00:29:48,720 Speaker 2: to the Stanford Linear Accelerator Center to do my homework 572 00:29:49,280 --> 00:29:52,040 Speaker 2: and so at the youngest age, he made it pretty 573 00:29:52,080 --> 00:29:57,240 Speaker 2: clear education's your passport to freedom for everyone, and there's 574 00:29:57,240 --> 00:29:58,320 Speaker 2: no limits what you can do. 575 00:30:01,600 --> 00:30:06,600 Speaker 1: My very last question to you is if food is 576 00:30:06,640 --> 00:30:10,160 Speaker 1: sharing as you do, you know food is collision, as 577 00:30:10,200 --> 00:30:13,360 Speaker 1: you say it is and work. If food is your 578 00:30:13,400 --> 00:30:16,760 Speaker 1: mother who didn't cook, and your father who remembered the 579 00:30:16,760 --> 00:30:21,280 Speaker 1: food your grandmother that was part of her identity. If 580 00:30:21,600 --> 00:30:24,720 Speaker 1: eating here the other night with your son was food. 581 00:30:26,080 --> 00:30:28,600 Speaker 1: All that is food that we share, that we express 582 00:30:28,680 --> 00:30:32,120 Speaker 1: love with, we work with, we connect with. But it 583 00:30:32,160 --> 00:30:36,200 Speaker 1: also is comfort. There's sometimes and I think about maybe 584 00:30:36,200 --> 00:30:40,160 Speaker 1: those people who had an argument in their office, and 585 00:30:40,160 --> 00:30:41,640 Speaker 1: then reach for those eminems. 586 00:30:42,160 --> 00:30:43,800 Speaker 2: You know lots of eminems. 587 00:30:44,720 --> 00:30:46,840 Speaker 1: Well, look for the emin ms that you know that 588 00:30:46,880 --> 00:30:47,920 Speaker 1: we do very often. 589 00:30:47,960 --> 00:30:48,760 Speaker 3: I certainly do. 590 00:30:49,720 --> 00:30:51,640 Speaker 1: We'll reach for a piece of music to listen to 591 00:30:51,720 --> 00:30:54,800 Speaker 1: if I need comfort, or a type of bedlinen I want, 592 00:30:54,840 --> 00:30:57,600 Speaker 1: But it also could be it could also be food. 593 00:30:57,640 --> 00:31:00,600 Speaker 1: And I was wondering, Ruth. Part is our last question 594 00:31:00,680 --> 00:31:02,960 Speaker 1: of a very beautiful morning is to ask you, if 595 00:31:03,000 --> 00:31:06,720 Speaker 1: you need food for comfort, what would that be? 596 00:31:08,320 --> 00:31:11,120 Speaker 2: So my mother, I said, it was an awful cook, 597 00:31:12,200 --> 00:31:18,440 Speaker 2: except in one area. She made a wonderful baba gnooche, 598 00:31:19,120 --> 00:31:24,200 Speaker 2: wonderful homus, and wonderful flaffel. So I find whenever I'm 599 00:31:24,200 --> 00:31:27,480 Speaker 2: traveling and I can order a metsa plate. I didn't 600 00:31:27,520 --> 00:31:29,120 Speaker 2: know that word when I was growing up. I just said, 601 00:31:29,480 --> 00:31:34,560 Speaker 2: babaganush and I will order it because that's mom's and 602 00:31:35,040 --> 00:31:39,000 Speaker 2: that is it's the quintessential sharing plate. Yeah, it's got 603 00:31:39,040 --> 00:31:41,840 Speaker 2: everything on it and it's the best when shared with people. 604 00:31:42,600 --> 00:31:46,480 Speaker 2: It was the only thing that she could actually cook well. 605 00:31:46,720 --> 00:31:50,040 Speaker 2: And yeah, so mom, mom is medsic plate. 606 00:31:50,400 --> 00:31:52,360 Speaker 1: I can see that for you. It also says more. 607 00:31:52,440 --> 00:31:55,480 Speaker 1: But you know that you are pressing who shares. Yeah, 608 00:31:55,920 --> 00:31:57,320 Speaker 1: that's your pleasure. That's the fun. 609 00:31:57,440 --> 00:32:00,000 Speaker 3: That's that's the fun. Thank you, thank you. 610 00:32:02,840 --> 00:32:06,120 Speaker 1: Ruthie's Table four was produced by Alex Bell, Robbie Hamilton, 611 00:32:06,240 --> 00:32:09,000 Speaker 1: and Zad Rogers, with Andrew Sang and Bella Selina. 612 00:32:09,440 --> 00:32:12,280 Speaker 3: This has been an atomized production for iHeartMedia.