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[TED] 【TED】未来这台电脑会帮你种菜

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发表于 6 天前 | 显示全部楼层 |阅读模式



00:12

Food crisis. It's in the news every day. But what is it?

00:17

Some places in the world it's too little food, maybe too much. Other places, GMO is saving the world. Maybe GMO is the problem? Too much agricultural runoff creating bad oceans, toxic oceans, attenuation of nutrition. They go on and on. And I find the current climate of this discussion incredibly disempowering. So how do we bring that to something that we understand?

00:45

How is this apple food crisis? You've all eaten an apple in the last week, I'm sure. How old do you think it was from when it was picked? Two weeks? Two months? Eleven months -- the average age of an apple in a grocery store in the United States. And I don't expect it to be much different in Europe or anywhere else in the world. We pick them, we put them in cold storage, we gas the cold storage -- there's actually documented proof of workers trying to go into these environments to retrieve an apple, and dying, because the atmosphere that they slow down the process of the apple with is also toxic to humans.

01:24

How is it that none of you knew this? Why didn't I know this? Ninety percent of the quality of that apple -- all of the antioxidants -- are gone by the time we get it. It's basically a little ball of sugar. How did we get so information poor and how can we do better?

01:43

I think what's missing is a platform. I know platforms -- I know computers, they put me on the Internet when I was young. I did very weird things --

01:52

on this platform. But I met people, and I could express myself.

01:56

How do you express yourself in food? If we had a platform, we might feel empowered to question: What if? For me, I questioned: What if climate was democratic? So, this is a map of climate in the world. The most productive areas in green, the least productive in red. They shift and they change, and Californian farmers now become Mexican farmers. China picks up land in Brazil to grow better food, and we're a slave to climate. What if each country had its own productive climate? What would that change about how we live? What would that change about quality of life and nutrition?

02:36

The last generation's problem was, we need more food and we need it cheap. Welcome to your global farm. We built a huge analog farm. All these traces -- these are cars, planes, trains and automobiles. It's a miracle that we feed seven billion people with just a few of us involved in the production of food.

02:57

What if ... we built a digital farm? A digital world farm. What if you could take this apple, digitize it somehow, send it through particles in the air and reconstitute it on the other side? What if?

03:15

Going through some of these quotes, you know, they inspire me to do what I do.

03:18

First one:

03:20

["Japanese farming has no youth, no water, no land and no future."]

03:24

That's what I landed to the day that I went to Minamisanriku, one stop south of Fukushima, after the disaster. The kids have headed to Sendai and Tokyo, the land is contaminated, they already import 70 percent of their own food. But it's not unique to Japan. Two percent of the American population is involved in farming. What good answer comes from two percent of any population? As we go around the world, 50 percent of the African population is under 18. Eighty percent don't want to be farmers. Farming is hard. The life of a small-shareholder farmer is miserable. They go into the city. In India: farmers' families not being able to have basic access to utilities, more farmer suicides this year and the previous 10 before that. It's uncomfortable to talk about. Where are they going? Into the city. No young people, and everyone's headed in. So how do we build this platform that inspires the youth?

04:27

Welcome to the new tractor. This is my combine. A number of years ago now, I went to Bed Bath and Beyond and Home Depot and I started hacking. And I built silly things and I made plants dance and I attached them to my computer and I killed them all -- a lot.

04:45

I eventually got them to survive. And I created one of the most intimate relationships I've ever had in my life, because I was learning the language of plants. I wanted to make it bigger. They said, "Knock yourself out, kid! Here's an old electronics room that nobody wants. What can you do?"

05:02

With my team, we built a farm inside of the media lab, a place historically known not for anything about biology but everything about digital life. Inside of these 60 square feet, we produced enough food to feed about 300 people once a month -- not a lot of food. And there's a lot of interesting technology in there. But the most interesting thing? Beautiful, white roots, deep, green colors and a monthly harvest. Is this a new cafeteria? Is this a new retail experience? Is this a new grocery store? I can tell you one thing for sure: this is the first time anybody in the media lab ripped the roots off of anything.

05:48

We get our salad in bags; there's nothing wrong with that. But what happens when you have an image-based processing expert, a data scientist, a roboticist, ripping roots off and thinking, "Huh. I know something about -- I could make this happen, I want to try."

06:07

In that process we would bring the plants out and we would take some back to the lab, because if you grew it, you don't throw it away; it's kind of precious to you. I have this weird tongue now, because I'm afraid to let anybody eat anything until I've eaten it first, because I want it to be good. So I eat lettuce every day and I can tell the pH of a lettuce within .1.

06:26

I'm like, "No, that's 6.1 -- no, no, you can't eat it today."

06:33

This lettuce that day was hyper sweet. It was hyper sweet because the plant had been stressed and it created a chemical reaction in the plant to protect itself: "I'm not going to die!" And the plants not-going-to-die, taste sweet to me. Technologists falling backwards into plant physiology.

06:51

So we thought other people needed to be able to try this. We want to see what people can create, so we conceived of a lab that could be shipped anywhere. And then we built it.

07:01

So on the facade of the media lab is my lab, that has about 30 points of sensing per plant. If you know about the genome or genetics, this is the phenome, right? The phenomena. When you say, "I like the strawberries from Mexico," you really like the strawberries from the climate that produced the expression that you like. So if you're coding climate -- this much CO2, this much O2 creates a recipe -- you're coding the expression of that plant, the nutrition of that plant, the size of that plant, the shape, the color, the texture. We need data, so we put a bunch of sensors in there to tell us what's going on.

07:39

If you think of your houseplants, and you look at your houseplant and you're super sad, because you're like, "Why are you dying? Won't you talk to me?"

07:48

Farmers develop the most beautiful fortune-telling eyes by the time they're in their late 60s and 70s. They can tell you when you see that plant dying that it's a nitrogen deficiency, a calcium deficiency or it needs more humidity. Those beautiful eyes are not being passed down.

08:03

These are eyes in the cloud of a farmer. We trend those data points over time. We correlate those data points to individual plants. These are all the broccoli in my lab that day, by IP address.

08:16

We have IP-addressable broccoli.

08:24

So if that's not weird enough, you can click one and you get a plant profile. And what this tells you is downloadable progress on that plant, but not like you'd think, it's not just when it's ready. When does it achieve the nutrition that I need? When does it achieve the taste that I desire? Is it getting too much water? Is it getting too much sun? Alerts. It can talk to me, it's conversant, we have a language.

08:56

I think of that as the first user on the plant Facebook, right? That's a plant profile and that plant will start making friends.

09:05

And I mean it -- it will make friends with other plants that use less nitrogen, more phosphorus, less potassium. We're going to learn about a complexity that we can only guess at now. And they may not friend us back -- I don't know, they might friend us back, it depends on how we act.

09:20

So this is my lab now. It's a little bit more systematized, my background is designing data centers in hospitals of all things, so I know a little bit about creating a controlled environment.

09:31

And so -- inside of this environment, we're experimenting with all kinds of things. This process, aeroponics, was developed by NASA for Mir Space Station for reducing the amount of water they send into space. What it really does is give the plant exactly what it wants: water, minerals and oxygen. Roots are not that complicated, so when you give them that, you get this amazing expression. It's like the plant has two hearts. And because it has two hearts, it grows four or five times faster. It's a perfect world. We've gone a long way into technology and seed for an adverse world and we're going to continue to do that, but we're going to have a new tool, too, which is perfect world.

10:12

So we've grown all kinds of things. These tomatoes hadn't been in commercial production for 150 years. Do you know that we have rare and ancient seed banks? Banks of seed. It's amazing. They have germplasm alive and things that you've never eaten. I am the only person in this room that's eaten that kind of tomato. Problem is it was a sauce tomato and we don't know how to cook, so we ate a sauce tomato, which is not that great. But we've done things with protein -- we've grown all kinds of things. We've grown humans --

10:43

Well maybe you could, but we didn't.

10:45

But what we realized is, the tool was too big, it was too expensive. I was starting to put them around the world and they were about 100,000 dollars. Finding somebody with 100 grand in their back pocket isn't easy, so we wanted to make a small one.

10:57

This project was actually one of my student's -- mechanical engineering undergraduate, Camille. So Camille and I and my team, we iterated all summer, how to make it cheaper, how to make it work better, how to make it so other people can make it. Then we dropped them off in schools, seventh through eleventh grade. And if you want to be humbled, try to teach a kid something.

11:17

So I went into this school and I said, "Set it to 65 percent humidity."

11:21

The seventh grader said, "What's humidity?"

11:24

And I said, "Oh, it's water in air."

11:25

He said, "There's no water in air, you're an idiot."

11:29

And I was like, "Alright, don't trust me. Actually -- don't trust me, right? Set it to 100. He sets it to 100 and what happens? It starts to condense, make a fog and eventually drip.

11:39

And he says, "Oh. Humidity is rain. Why didn't you just tell me that?"

11:47

We've created an interface for this that's much like a game. They have a 3D environment, they can log into it anywhere in the world on their smartphone, on their tablet. They have different parts of the bots -- the physical, the sensors. They select recipes that have been created by other kids anywhere in the world. They select and activate that recipe, they plant a seedling. While it's growing, they make changes. They're like, "Why does a plant need CO2 anyway? Isn't CO2 bad? It kills people." Crank up CO2, plant dies. Or crank down CO2, plant does very well. Harvest plant, and you've created a new digital recipe.

12:21

It's an iterative design and development and exploration process. They can download, then, all of the data about that new plant that they developed or the new digital recipe and what did it do -- was it better or was it worse? Imagine these as little cores of processing. We're going to learn so much.

12:39

Here's one of the food computers, as we call them, in a school in three weeks' time. This is three weeks of growth. But more importantly, it was the first time that this kid ever thought he could be a farmer -- or that he would want to be a farmer.

12:56

So, we've open-sourced all of this. It's all online; go home, try to build your first food computer. It's going to be difficult -- I'm just telling you. We're in the beginning, but it's all there. It's very important to me that this is easily accessible. We're going to keep making it more so.

13:10

These are farmers, electrical engineer, mechanical engineer, environmental engineer, computer scientist, plant scientist, economist, urban planners. On one platform, doing what they're good at. But we got a little too big.

13:24

This is my new facility that I'm just starting. This warehouse could be anywhere. That's why I chose it. And inside of this warehouse we're going to build something kind of like this. These exist right now. Take a look at it. These exist, too. One grows greens, one grows Ebola vaccine. Pretty amazing that plants and this DARPA Grand Challenge winner is one of the reasons we're getting ahead of Ebola. The plants are producing the protein that's Ebola resistant. So pharmaceuticals, nutraceuticals, all they way down to lettuce.

14:01

But these two things look nothing alike, and that's where I am with my field. Everything is different. We're in that weird "We're alright" stage and it's like, "Here's my black box --" "No, buy mine." "No, no, no -- I've got intellectual property that's totally valuable. Don't buy his, buy mine."

14:18

And the reality is, we're just at the beginning, in a time when society is shifting, too. When we ask for more, cheaper food, we're now asking for better, environmentally friendly food. And when you have McDonald's advertising what's in the Chicken McNugget, the most mysterious food item of all time -- they are now basing their marketing plan on that -- everything is changing.

14:40

So into the world now. Personal food computers, food servers and food data centers run on the open phenome. Think open genome, but we're going to put little climate recipes, like Wikipedia, that you can pull down, actuate and grow.

15:03

What does this look like in a world? You remember the world connected by strings? We start having beacons. We start sending information about food, rather than sending food. This is not just my fantasy, this is where we're already deploying. Food computers, food servers, soon-to-be food data centers, connecting people together to share information.

15:24

The future of food is not about fighting over what's wrong with this. We know what's wrong with this. The future of food is about networking the next one billion farmers and empowering them with a platform to ask and answer the question, "What if?"

15:43

Thank you.00:12

食物危机。 出现在每日新闻中。 那是什么?

00:17

世界上的某些地方 食物太匮乏, 某些地方食物产量丰富。 有些地方,转基因食物拯救了世界。 也许转基因食物是个问题? 太多的转基因农业废水 制造了污染的海洋、有毒的海水, 营养稀薄。 这样循环往复继续着。 我发现,当今的讨论 实在是太没有影响力了。 我们要如何让这样的讨论 为大家所理解呢?

00:45

苹果食物危机怎么样? 我确定,在过去的一周里 你们每个人都吃了一个苹果。 你认为苹果从采摘 到你手中花了多久呢? 两周? 两个月? 11个月 -- 这就是美国商场中售卖的 苹果从采摘到出售的平均时间。 我想,在欧洲应该也差不多 在世界各地都差不多。 我们采摘苹果, 把它们冷藏保存, 往冷藏柜中输入氧气-- 事实上有文件记录表明 曾有工人试图进入这样的环境 来取回一个苹果, 然后死亡, 因为身处这样环境下的冷藏库中 冷藏库里的空气对人来来说 是有毒性的。

01:24

为什么你们中没有人知道这件事? 为什么我不知道这件事? 苹果中90%的养分-- 苹果中所有的抗氧化剂-- 在我们购买时全部流失完了。 它只是一颗小糖果。 我们为什么不知道这些消息? 要怎样改善这样的状况?

01:43

我认为我们缺少了一个平台。 我知道平台--我会使用电脑, 我很年轻的时候 就在网络上活动。 我做过很多非常怪异的事情--

01:52

在这样的平台上。 但我也遇见了其他人, 我能够表达自己的想法。

01:56

你对食物有怎样的看法? 如果我们有一个平台, 我们也许会发现 这个问题非常有利 “假如?” 我想问: 如果气候是民主的? 这是一张全球气候分布图。 最高效的农业生产地区是绿色的, 最差的是红色。 它们会不断变动,变化, 加州的农民现在变成墨西哥农民。 中国获得巴西的土地 以求种出更好的食物, 我们都是环境的奴隶。 如果每个国家都有自己 适合生产的气候? 那会如何改变我们的生活呢? 那将如何改变我们 生活和营养的质量?

02:36

上一代人遇到的问题是, 我们需要更多食物 并且价格低廉。 欢迎来到世界农场。 我们建造了一个巨大的模拟农场。 这些线条轨迹-- 是车、飞机、火车 和汽车。 能够提供足够的食物给70亿人, 这是一个奇迹, 在只有很少人参与到 食品制作过程中的情况下。

02:57

但是如果... 我们建造一个数字农场? 数字化的世界农场。 如果你能够拿这个苹果, 在某种程度上,将其数字化, 通过空气中的质点传送, 然后在另一边将质点重组? 如果?

03:15

看一看这些引述的话, 你知道,它们鼓励了我这样做。

03:18

第一条:

03:20

“日本农业没有年轻人,没有水, 没有地,也没有未来。”

03:24

这是我到达南三陆町的那天, 也就是福岛再往南一站, 在核电站事故之后。 孩子们都去了仙台和东京, 土地被核电站事故污染了, 他们的食品进口量达 70%。 但这并不是日本独有的现象。 美国人中只有 2% 的人口 从事与农业相关工作。 人口数中 2% 的人从事农业 带给我们什么答案? 我们看看世界上别的地方, 50% 的非洲人口是 18 岁以下。 他们中的 80% 不愿意成为农民。 农业太艰辛。 小农生活太辛苦。 他们选择去城市。 在印度: 农民的家人无法获取 最基础的农用器具, 自杀的农民数量多于 过去 10 年的数量。 说起这些太令人难过了。 他们要去哪里? 到城市里。 没有年轻人, 年轻人都去城市了。 那我们要搭建一个怎样的平台 来鼓励年轻人呢?

04:27

请看这台新的拖拉机。 这是我的联合收割机。 数年前, 我去家居连锁店 开始寻觅工具。 我制作过愚蠢的东西 我让植物跳舞 将它们与我的电脑相连 然后我摧毁了它们-- 很多。

04:45

我最终让它们得以存活。 我创造了我人生中 一种最亲密的关系, 因为我最学习植物的语言。 我想要它们长得更大。 他们说,“孩子,全力以赴吧! 这间没有人使用的电子工作室。 你能做些什么呢?”

05:02

和团队成员一起,我们在 媒体实验室里搭建了一个农场, 一个过去被认为和电子化生活有关 而不是生物有关的地方。 在这个 60 平方米的空间里, 我们制作了足够供应 大约 300 人 1 个月的口粮-- 并不是太多。 这里有很多有趣的科技。 最有趣的是? 漂亮的,白色的根茎, 深绿色的植物 每月一次的收获。 这是新式餐厅吗? 这是新式销售体验吗? 这是新式的商店吗? 我能确定的是: 这是第一次 在媒体实验室里 可以将任何植物连根拔起。

05:48

我们把沙拉装进袋子里; 没什么不对的。 但会发生什么呢 当你有一个图像处理专家, 一个数据科学家, 一个机器人专家, 连根拔起植物然后想, “嗯,我知道有关-- 我能让计划实现,我想试一试。”

06:07

在整个过程中 我们会把植物拿出去 也会把一些重新拿回实验室, 因为如果是你亲自种植的, 不会把它抛弃; 因为它对你来说是珍贵的。 我现在有这个奇怪的舌头, 因为我不想任何人在我之前 吃到它们, 我希望这是好吃的。 我每天都吃生菜 我能知道生菜的PH值小于1

06:26

我现在是这样,“不,那是6.1 -- 不不 今天你不能吃它。”

06:33

这棵生菜那天非常甜。 那是因为生菜感到很大的压力 它自体生产出化学反应 来保护自己: “我不想死!” 植物那种不想死的口味 尝起来是甜的。 科学家们重新回到研究 植物生理学上来。

06:51

我想,大家都能试着参与。 我们期待看到大家的创作, 因此我们构想了一个 能够被运送到其他地方的实验室。 将这样的构想制作出来。

07:01

这个媒体实验大楼的正面 是我的实验室, 每株植物都有30个感应点。 如果你了解基因组或是遗传学, 这就是表型组,对吧? 表型组呈现的现象。 当你说,“我喜欢 墨西哥产的草莓,” 你真正喜欢的是 在那样的气候条件下 生产出来的草莓。 你可以把这样的气候编码 -- 多少二氧化碳,多少氧气 创建的菜谱--你可以通过编程 来控制植物的呈现状态, 和营养含量, 植物的尺寸,形状,颜色和质感。 我们需要数据, 所以我们放了很多感应仪 来为我们提供数据。

07:39

你可以回想一下家里的植物, 你看着家里的植物 很悲伤,因为你想 “为什么你死了呢? 你会跟我说话吗?”

07:48

农民有着能预知未来的 最美的眼睛, 当他们在六七十岁的时候, 他们能够告诉你 那株植物死亡 是因为土壤缺氮,缺钙, 或是它需要更加湿润的空气环境。 这些美丽的眼睛 不会传下去。

08:03

这些是农民的眼睛。 我们会持续收集数据信息。 我们把这些数据点和 单独的植物联合。 这些是那天我实验室里 所有花椰菜的 IP 地址数据。

08:16

我们有可追踪 IP 地址的花椰菜。

08:24

如果这还不够怪异的话, 你可以点击这里 看到植物的档案。 这向你展现了 那株植物可下载的生长过程, 不是你想象的那样, 不仅仅是在可食用的时候 通知你。 它的养分什么时候 达到我的需求? 它的味道什么时候 符合我的期待? 是不是水分太多了? 是不是日晒太久了? 都会提示的。 它能够和我对话, 可以沟通, 我们可以语言对话。

08:56

我想,那是第一个 植物脸书的用户吧? 那时植物的档案 植物会开始交朋友。

09:05

我是说真的--植物会开始 和那些使用较少量氮,多一些磷, 少些钾的植物交朋友。 我们将会开始了解那些复杂的事 现在只能靠猜想的事。 它们也许不会和我们友好-- 我不知道,也许它们也会和我们交好, 这取决于我们的行为。

09:20

这是我现在的实验室。 这有点儿更加系统化, 我的背景是设计医院的数据中心, 我知道如何创建一个 可控的环境。

09:31

于是 -- 在这个环境里, 我们实验各种各样的东西。 这个程序,空气种植法, 是 NASA 为了米尔空间站开发出来的, 能够减少他们需要传送到太空的水资源量。 这个程序做的事是准确提供给植物 它们想要的东西。 水,矿物质和氧气。 根部没有那么复杂, 当你把这些输送给它们的时候, 你就能看到令人吃惊的效果。 植物有两个心脏。 正因为有两个心脏, 它呈现 4-5 倍的高速增长。 这是个完美的世界。 我们经历了漫长的技术发展 寻求一个不同的世界 我们将持续这样做, 但我们也会有新的工具, 这会是个完美的世界。

10:12

我们种植各种各样的东西。 这些番茄在过去的 150 年间 都没有投入商业化生产。 你知道我们有少见的,古旧的 种子银行吗? 种子银行。 这太赞了。 它们有活着的种质 你没有吃过的食物。 我是这个房间中唯一一个 吃过这种番茄的人。 问题是,这是酱汁番茄 我们不知道如何料理, 因此觉得酱汁番茄 似乎并不好吃。 但是我们种过各种 含蛋白质的东西。 我们种植过人类 --

10:43

也许你能,但我们不行。

10:45

我们意识到, 工具太大了,也太贵了。 我开始把它们放置在世界各地 价值大约 10 万美金。 要找能随意支配 10 万美金的人并不容易, 所以我们想要制作小型的工具。

10:57

这事实上 是我一个学生的项目-- 机械工程系本科生,卡米尔 卡米尔和我,以及我的团队, 我们花了整个暑假重复试验, 如何让它更便宜, 如何更好地运作, 如何让他人也能够学会操作。 然后我们把这些工具 送到学校给7到11级的孩子们。 如果你想要变得谦逊, 试着去教孩子做些什么吧。

11:17

我去到这个学校,说到, “将它的湿度设定在65%”

11:21

7年级的一个孩子问, “什么湿度?”

11:24

于是我说,“哦,是空气中的水。”

11:25

他说,“空气中根本没有水, 你这个笨蛋。”

11:29

于是我说,“好吧,别信我。 事实上-- 别信我,对吗? 将它设定到100。 他把湿度设定到100, 发生了什么呢? 开始凝结,产生雾气, 最终开始滴水。

11:39

然后他说, “哦,湿度是雨。 你之前为什么不这样跟我说呢?”

11:47

我们创作的界面 看起来像是一个游戏。 它们有 3D 环境, 能够在世界各地登录 从手机上,电脑上。 程序里面有不同的部分-- 物理调节,感应器。 他们选择了世界上 其他地区孩童们 已经创造的菜谱。 他们选择并激活菜谱, 种下种子。 当种子生长的时候, 孩子们可以做出变化。 他们说,“植物为什么需要二氧化碳呢? 二氧化碳不是坏东西吗? 能让人窒息。” 提高二氧化碳的供应量,植物死了。 降低二氧化碳的量,植物活得很好。 收获植物, 你创建了新的电子菜谱。

12:21

这是个反复的设计和发展 以及探索的过程。 他们可以下载 他们开发的新植物的 所有数据, 或是新的电子菜谱 它做了些什么-- 是更好还是更坏呢? 想象这些是加工处理的 一个个核心要素。 我们能学到很多的东西。

12:39

这是一个我们称之为 食物计算机, 在一个学校里放了三周。 这是三周的种植。 更重要的是, 这是第一次, 这个孩子认为他能够当农民-- 或是,他想要成为一位农民。

12:56

所以我们把这些资源公开。 都放在网上;回家,试着搭建 你的第一台食物计算机。 这会很难-- 我这样告诉你。 我们正在起步阶段, 但资源都在那里。 对我来说,让这些很容易取得 是非常重要的。 我们也会继续这样做。

13:10

这些是农民, 电子工程师,机械工程师, 环境工程师, 电脑科学家, 植物学家, 经济学家,城市规划师。 在一个平台上, 做他们各自擅长的事情。 团队变得太大了。

13:24

这是我的新实验设备 正在开始运作。 这个仓库可以建在任何地方。 这就是我选择它的理由。 在这个仓库里面 我们要搭建这样的架子。 现在就可以看到。 看一下这个, 这也存在。 一个种植绿色蔬菜, 一个种植伊波拉病毒疫苗。 很棒的是,植物和这个 美国国防部高级研究计划局优胜项目 是我们研究伊波拉病毒 卓有成效的原因。 这些植物正在产生 对抗伊波拉病毒的蛋白质。 所以药品和保健品, 再到生菜种植。

14:01

但这两件事看起来 完全不一样, 那就是我在我自身领域的部分。 但很多事并不是想象的那样。 我们还在“我们是对的”这个阶段 就像是,“这是我的小黑盒子 --” “不,买我的。” “不,不,不 -- 我的知识产权 绝对的有价值。 不要买这个,买我的。”

14:18

事实上是, 我们只是在开始阶段, 这个时候,社会也在变化中。 当我们要更多,更便宜的食物, 我们现在需要更优质, 环境友好的食物。 但你看到麦当劳广告宣传 麦乐鸡的成分, 人类历史上最神秘的食物 -- 麦当劳的市场广告计划 正在改变 -- 所有事情都在改变着。

14:40

现在看看当今世界。 个人食物计算机, 食物服务器, 食物数据中心, 在公开表型组运作。 就像公开基因组,但我们要 把小小的气候食谱综整起来, 像是维基百科那样, 你可以推翻,开动,种植。

15:03

这看起来如何呢? 你记得世界是由细绳连接起来的? 开始出现培根了。 我们开始发送关于食物的信息, 而不是分发食物。 这不仅仅是我的幻想, 这是我们已经在开展的工作。 食物计算机,食物服务器, 很快有的食物数据中心, 把人们连结在一起分享信息。

15:24

食物的未来不是其错误奋战, 我们都知道错在那里。 未来的食物关乎 连结下一代 10 亿农民, 并且用问答的平台来 赋予他们力量, “如果?”

15:43

谢谢。

[发帖际遇]: Candy_hao 发帖时在路边捡到 2 元 家元,偷偷放进了口袋. 幸运榜 / 衰神榜
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