I've always been inspired by his optimistic and innovative vision for artificial intelligence. He was also ahead of the curve. He has shown me a video of him and the Black Eyed Peas from 2010 where they're discussing the possibilities of AI for music and creativity. It blew my mind. And whether we're comparing notes on the possibilities of AI for creativity or demoing early versions of our tech,

他對人工智能的樂觀和創新願景一直激勵著我。他也走在了時代的前列。他曾給我看過一段 2010 年他和黑眼豆豆合唱團的視頻，他們在視頻中討論了人工智能在音樂和創造力方面的可能性。這讓我大開眼界。無論我們是在比較人工智能對創造力的可能性，還是在演示我們技術的早期版本、

Will's insights have helped to shape how the AI tools we're developing can push creative boundaries and empower the imaginations of artists everywhere. Thank you for coming to Hangout here at Google. I have to ask this question. When did you get interested in AI?

威爾的真知灼見幫助我們確定了我們正在開發的人工智能工具如何能夠推動創意極限，並增強世界各地藝術家的想象力。感謝您來到谷歌的 Hangout。我想問這個問題。你是什麼時候對人工智能感興趣的？

There's a guy by the name of Alan Hearthstone.

有個叫艾倫-爐石的傢伙。

And Alan Hearthstone is a computer scientist and he had a company.

艾倫-爐石是一名計算機科學家，他有一家公司。

He says, hey, you wanted to go to MIT to the Media Lab?

他說，嘿，你想去麻省理工學院的媒體實驗室嗎？

Think you're really going to get a kick out of it. But the place that I really was intrigued was the AI department led by Professor Patrick

我想你一定會從中受益匪淺。但真正讓我感興趣的是帕特里克教授上司的人工智能系。

Winston. Yeah. Rest in peace. When I met Professor

溫斯頓是的 安息吧 Yeah.安息吧當我遇到教授

Patrick Winston, I was just blown away by the field.

帕特里克-溫斯頓，我被現場震撼到了。

What blew you away? The way he interfaced with AI, because I told him I make music because of computers.

是什麼讓你大吃一驚？他與人工智能互動的方式，因為我告訴他，我做音樂是因為電腦。

Like a computer is my instrument. I'm not a saxophonist,

就像電腦是我的樂器一樣。我不是薩克斯風手、

I'm not a flutist, I'm not a guitarist, I'm not a pianist. I can barely play chords.

我不是長笛手，不是吉他手，也不是鋼琴家。我幾乎不會彈和絃。

I'm not a drummer. I can barely keep time. But I program the computer to make music.

我不是鼓手。我幾乎無法掌握時間。但我能用電腦編程來製作音樂。

When he started asking me questions about like my entry point into music and I told him it was computers, he told me about AI.

當他開始問我音樂的切入點時，我告訴他是電腦，他就告訴了我人工智能。

He was like, this is the promise of what AI is going to do.

他說，這就是人工智能的前景。

This was 2004. I'm like, wow. So you mean to tell me as these computers continue to get more advanced, that eventually I'll be able to speak songs to existence?

那是 2004 年。我想，哇你的意思是說，隨著電腦的不斷進步，我最終也能用歌聲表達自己的存在？

By the time 2009 came around, I was like, yo, Professor Patrick Winston, check out this video. And he was the person I showed like AI intro to our song. Check this out. You know I always come with that next. What is that? This right here is the future. I input my voice, high notes, my low notes, then the whole English vocabulary. What you're able to do with that because of this artificial intelligence, like when it's time to make a new song, I just type in the lyrics and then this thing sings it, says it, raps it, talks it. This is it. Wait, that means I don't gotta like rap anymore or something? I mean, you're still rapping, but... Like, I mean me physically like in a vocal booth.

到了 2009 年，我就想，帕特里克-溫斯頓教授，看看這個視頻。我給他看了我們歌曲的AI前奏看看這個你知道，我總是來與下一個。那是什麼？這就是未來我輸入我的聲音 高音 低音 然後是所有的英語詞彙有了人工智能，你就能做這些事 比如當我要創作一首新歌時 我只需輸入歌詞 然後它就會唱，說，說唱，娓娓道來就是這樣等等，這意味著我不再喜歡說唱了還是怎麼？我是說，你還在說唱，但是...像，我的意思是我的身體 像在一個發聲室。

No, this is what's going to take the P's into 3008. This is the future right here. I have to tell you that was breathtaking because I remember a few months ago when you and I were playing with some of these technologies, you said, watch this video. I had wishes of what I would like a music experience to be like. This is the Black Eyed Peas future right here. This is what's going to take us to 3008.

不，這才是P的3008。這就是未來。我必須告訴你，這令人歎為觀止，因為我記得幾個月前，當你和我一起玩這些技術時，你說，看這個視頻。我曾希望自己的音樂體驗是什麼樣的。這就是黑眼豆豆的未來。這就是我們要去的3008年

That song and that video and what you just described, that was like a full 13, 14 years ago. So what is it that gave you the intuition to look that far ahead and imagine those possibilities? You know, Pro Tools is not a composition, you know, digital audio workstation. It's just a recording. Right. It was meant for recording vocals, recording music into it. As far as programming,

那首歌、那部視頻以及你剛才描述的一切，都是 13、14 年前的事了。那麼，是什麼給了你直覺，讓你能把目光放得那麼長遠，想象出那些可能性？你知道，Pro Tools 並不是作曲，你知道，數字音頻工作站。它只是一個錄音工具。沒錯它是用來錄製人聲和音樂的。至於編程

Pro Tools wasn't made for programming. I started using Pro Tools as a software. And then like making beats by just dragging audio files and started using it differently than what it was intended on.

Pro Tools 並非為編程而生。我開始把 Pro Tools 當作軟件使用。然後，我開始通過拖動音頻文件來製作節拍，並開始以不同的方式使用它。

Seeing how that particular software started to evolve,

瞭解該軟件是如何開始發展的、

I would always say, well, instead of having plugins, what if you had the same type of technology that, you know, when you open up the computer and it would say, welcome, or AOL would be like, welcome, you got mail. Or you open up a laptop and be like, hello. Like, imagine if you had that same type of thing as a plugin or a VST.

我總是說，與其用插件，不如用同樣的技術，你知道，當你打開電腦，它會說 "歡迎"，或者美國在線會說 "歡迎，你有郵件"。或者你打開筆記本電腦，它會說，你好。想象一下，如果你也有這樣的插件或 VST，你會怎麼做？

You could type in what you want and instead of just saying words, did a bunch of things. Like, I would always think, like, this thing is not there yet. It's cool for now, but this is not what we're going to have 10 years from now.

你可以輸入你想要的東西，而不只是說文字，而是做很多事情。比如，我總是想，這東西還沒到那一步。現在是很酷，但這不是我們 10 年後要擁有的東西。

What I want to do is I want to take this.

我想做的是，我想把它拿走。

I want to say, ignore these three. Yeah. Add to that.

我想說，別理這三個人好吧再補充一句

Base it on this. Yeah. Add to that. Yeah. I need to then grab this here and drag that on this. And then build on that. And here's the new lyrics, but in that style. Exactly. You can actually grab the pointer and just like draw lines across the song.

以這個為基礎是的再加上這個我需要把這個拖到這個上然後在此基礎上發展這是新歌詞，不過是那種風格的沒錯你其實可以抓住指針 在歌曲上畫線

Yeah. And so, yeah, you should be able to go. Given that we're now in this moment with what's now possible, give me a sense. Are you excited about where we are with AI?

你應該能去所以，是的，你應該可以去。考慮到我們現在所處的這個時刻，現在有什麼可能，給我一個感覺。你對人工智能的發展現狀感到興奮嗎？

What has blown you away? What has impressed you?

什麼讓你大開眼界？什麼讓你印象深刻？

How do you think about this moment where we are now with what's now possible?

你如何看待我們現在所處的這個時刻，以及現在可能發生的事情？

Like other moments, I see what's not here yet. I know that there's something. I have my phone here, but it's not mine.

和其他時刻一樣，我看到了尚未到來的東西。我知道有什麼東西。我的手機在這裡，但它不是我的。

Like this OS does not know me. I don't have a relationship with it. I just use it. I have access to information, but do I have access to the information to really truly better my life?

就像這個作業系統不瞭解我一樣。我和它沒有關係。我只是在使用它。我可以獲取信息，但我能獲取真正改善生活的資訊嗎？

Not like I'm going to have in 2033. And when you have something that helps you aspirationally, conceptually, and understands you and gives you this feeling that it cares about you, you have something totally different.

而不是像我在 2033 年將擁有的那樣。當你擁有的東西能在理想上、概念上幫助你，理解你，給你一種它關心你的感覺時，你就擁有了完全不同的東西。

I'm going to be empowered. People are going to be empowered with their own data right around the corner. What you're describing is a sense of a personal AI system that understands you, empathizes with you, has known you, but also I'm curious if you think about that as an artist, as a creative, as somebody who has all these ideas, but as somebody who's creative in that way, what would it mean to understand you beyond just, you know, knowing you as a in a relational sense, but what would it mean? Is it understanding your archive or the ideas you've ever had or the thoughts or the creative connections?

我將被賦予權力。人們將在不久的將來通過自己的數據被賦權。你所描述的是一種個人人工智能系統的感覺，它能理解你、與你產生共鳴、瞭解你，但我也很好奇，如果你把它看作一個藝術家、一個創意者、一個擁有所有這些想法的人，但作為一個以這種方式進行創作的人，瞭解你不僅僅意味著，你知道，瞭解你作為一個在關係意義上的人，但它意味著什麼？是瞭解你的檔案，還是瞭解你曾經有過的想法、思想或創造性的聯繫？

Okay, I'm sitting right here talking to you.

好吧，我就坐在這裡跟你說話。

As you speak, I'm having these thoughts and the thoughts that I have happen faster than I'm explaining what I'm thinking now.

就在你說話的時候，我有了這些想法，而我的想法發生的速度比我現在解釋我在想什麼還要快。

And that's the difference between like somebody that's super creative, hyper intelligent, is how they convey what they're thinking at the speed of what they're thinking. If you were to go on a system and say, give me a song like Black Eyed Peas, that system was trained by the 600 some odd songs that I have out there in the world. And it's going to make sense of that and give you something pretty accurate. From what I saw, wow, that's pretty awesome.

這就是超有創意、超聰明的人與人之間的區別，在於他們如何以最快的速度傳達自己的想法。如果你在一個系統上說，給我一首像黑眼豆豆這樣的歌，這個系統是由我在世界上擁有的 600 多首歌曲訓練出來的。它會根據這些歌曲做出判斷，並給出非常準確的結果。就我所見，哇，這真是太棒了。

I need to be able to come into this? I think you're just composing.

我需要能進入這裡嗎？我覺得你只是在作曲

That would be incredible, right? And so you want to actually tell it also where the first beat of the lyric should come in, because at the moment it's just deciding arbitrarily, right? I want to come in here.

這太不可思議了，對吧？所以你也要告訴它歌詞的第一拍應該出現在哪裡，因為目前它只是隨意決定，對嗎？我想從這裡開始。

I need to be able to rewind this. That would be amazing.

我需要能倒帶。那就太棒了

Yeah, and then you go in there and you then you type in the lyric and you say match the lyric to this. Then creators will be like, oh my fucking gosh, bro, this is the best fucking tool in the fucking world. But imagine it had my hard drive that's like thousands and thousands of pathways that got me to I Got A Feeling.

是的，然後你進去，輸入歌詞，然後說歌詞和這個匹配。然後創作者們就會說，我的天啊，兄弟，這他媽是世界上最好的工具了。但想象一下，我的硬盤裡有成千上萬條路徑，讓我找到了 "我有一種感覺"。

Not just the one I Got A Feeling, but the errors of I Got A Feeling, the mistakes, the song I wrote the day before I

不只是那首《我有一種感覺》，還有《我有一種感覺》的錯誤、失誤，以及我在前一天寫的那首歌。

Got A Feeling that kind of felt like I Got A Feeling.

Got A Feeling》有點像《I Got A Feeling》。

And the one I wrote last month, the month before that, that kind of was like that. That gives you all the different branches.

我上個月和前一個月寫的那篇文章也是如此。這給了你所有不同的分支。

And so you want to be this new rule, this new umbrella, this new school, this new league for creatives to come here to a tool like this, train it. It's awesome without you, but it's even better with you. What is it for?

所以，你要成為這個新規則、新保護傘、新學校、新聯盟，讓創意人來到這裡，使用這樣的工具，培訓它。沒有你它也很棒，但有了你它會更棒。它有什麼用？

Does it fit into yesterday's industry, or is it a new industry? Because in my head, this is its own industry. One of the things I'm reminded of, there's a, probably not quite quoted correctly, a quote from Marshall McLuhan, who basically said, with every new medium, technological medium, the first content of that technological medium is always the previous content of the previous medium. So that's why when film first came out, it was all plays. People thought, oh, let's take what's begun on the stage, put it onto film. So my question for you is, if we try to break that, this idea of always being constrained by the previous format, what do you imagine music to be in the age of AI? Could this technology actually liberate art? I mean, I'm always struck, I'm a photographer, I'm not a musician like you, but I like to take pictures.

它是屬於昨天的行業，還是屬於新的行業？因為在我看來，這是它自己的行業。我想起了一件事，可能引用得不太準確，馬歇爾-麥克盧漢（Marshall McLuhan）的一句話，他基本上是這麼說的，對於每一種新的媒介，技術媒介，該技術媒介的第一內容總是前一種媒介的內容。這就是為什麼電影剛出現時，都是戲劇。人們想，哦，讓我們把舞臺上的東西搬到電影上吧。所以我想問的是，如果我們嘗試打破這種想法，打破這種總是受制於前一種形式的想法，你認為人工智能時代的音樂會是怎樣的？這項技術能否真正解放藝術？我的意思是，我一直很驚訝，我

And I'm always reminded of how, when photography first showed up, there was a sense of, oh, this is going to kill art, because art at that time was so concerned with just accurately reproducing images of people. But it actually, I think, liberated art, because we then went to impressionism, all these different forms of art, and photography itself became its own art form, in addition to liberating art. So I'm just wondering, could it be that AI kind of liberates creativity here, whether it's in music and film and all these different mediums? Let's take a redemption song by Bob Marley, or Bob Marley's music in general. Bob Marley was making like religious songs, and there were social conversations about issues about love, unity, they're pretty deep. And if Bob Marley was creating in the age of AI, then a song is not just a song you listen to, a song is also a conversation.

我總是想起，當攝影第一次出現時，人們有一種感覺，哦，這將扼殺藝術，因為當時的藝術是如此關注準確地再現人物形象。但實際上，我認為它解放了藝術，因為我們後來發展到了印象派，所有這些不同形式的藝術，攝影本身除了解放藝術之外，還成為了它自己的藝術形式。所以我在想，人工智能會不會在這裡解放創造力，無論是在音樂、電影還是所有這些不同的媒介中？讓我們以鮑勃-馬利（Bob Marley）的一首救贖之歌或鮑勃-馬利的音樂為例。鮑勃-馬利創作的歌曲就像宗教歌曲一樣，其中有關於愛、團結等問題的社會對話，非常深刻。如果鮑勃-馬利

I want to be able to stop it right there and be like, what do you mean by that?

我希望能當場制止它，然後說："你這是什麼意思？

I want to be able to pause it, have a discussion about that lyric, have a conversation, explore it. So now a song is not just like verse-lyric, I mean, verse-chorus, verse-chorus, breakdown.

我希望能夠暫停它，對歌詞進行討論，進行對話，對它進行探索。所以現在一首歌不僅僅是歌詞，我的意思是，歌詞-副歌，歌詞-副歌，分解。

It's like verse, and this line here, discussion.

這就像詩句，這一行是討論。

Discussion. And this line here, insert memory, because I'm talking about my childhood. Insert images, insert film.

討論。這一行，插入記憶，因為我說的是我的童年。插入影像，插入電影。

How do you think about this from an artist's point of view? Because I think one of the debates, and you hear all the time, is this idea that, will this replace the artist, or will this enable the artist? It's the ultimate way to express your ideas, manifest at speed. If you have ideas, you don't have to worry about like drowning your friends with like, ring, ring, ring. Yo, what up bro? Hey yo, I got this idea. Yo bro, it's like four o'clock in the morning, man, like we just got off the phone, like I need to go to sleep. Yo, yo, but wait, but wait. Do you know how exhausting hyper creatives are to their freaking entourage and their crews? So you mean to tell me I have this patient agent that is there all the time to help me freaking fine-tune and materialize? If you have ideas, you have ideas. Now, if it's maybe able to threaten artists, is it going to threaten ideators?

從藝術家的角度，你是如何看待這個問題的？因為我認為，其中一個爭論點，也是你經常聽到的爭論點，就是這樣一種想法：這會取代藝術家，還是會使藝術家成為可能？這是表達你的想法的終極方式，可以快速表現出來。如果你有想法，你就不用擔心你的朋友會被 "叮叮噹噹 "的聲音淹沒。喲，怎麼樣，兄弟？嘿，我有個主意老兄，現在是凌晨四點，我們剛通完電話，我得睡覺了。等等，等等你知道超級創意人對他們的隨從和團隊有多累嗎？你的意思是說，我有一個耐心的經紀人，一直在那裡幫我微調和實現？如果你有想法，你就有想法。現在，如果它也許能威脅到

No. This is their time. So this would be like a muse for you. So one of the things that happened, and I see this at Google all the time, there's something called pair programming, where programmers and software designers are incredibly productive when they're working alongside another computer scientist, another programmer, and they have this thing going. But you can imagine, and we're starting to see them, you know, work alongside an AI system to do programming.

不，這是他們的時間。所以這就像是你的繆斯女神。我在谷歌經常看到這種情況，有一種叫做結對編程的東西，當程序員和軟件設計師與另一位計算機科學家、另一位程序員一起工作時，他們的工作效率會非常高。但你可以想象，我們已經開始看到他們與人工智能系統一起工作，進行編程。

So could this be the equivalent for you as an ideator, as a creative, to have almost this muse, or this companion, or this collaborator?

那麼，作為一個構思者，作為一個創意者，這是否可以等同於你的繆斯女神、伴侶或合作者？

I like the word muse because this word muse is the definition of creativity and inspiration. And so muse is an amazing way to describe AI and ideators. So instead of going to the studio to record a song, I want to go to the studio to train my model. Like, hey, what are we doing this month? Yo, we're going to Brazil. We're doing samba music because our model needs to be a little bit more rich when it comes to samba, all right? So what are we doing this month? Yo, we're going to study haikus and crazy different types of poetry and literature because we need to train our model.

我喜歡繆斯這個詞，因為繆斯這個詞就是創造力和靈感的定義。是以，繆斯是描述人工智能和創意者的絕佳方式。所以，與其去錄音室錄歌，不如去錄音室訓練我的模型。比如，嘿，我們這個月要做什麼？喲，我們要去巴西。我們要做桑巴音樂，因為我們的模特在跳桑巴舞時需要更豐富一點，好嗎？我們這個月要做什麼？我們要學習俳句和不同類型的詩歌和文學 因為我們需要訓練我們的模型

Yeah, let me go to a slightly different direction because I know these are things that you care passionately about, and we've talked about quite a bit. Describe what you're doing in LA, in the place where you grew up, because you're trying to do some extraordinary things for kids at the intersection of technology and, quite frankly, everything. So I made an effort back in 2008 to go and adopt a junior high school that had 65 students.

是的，讓我換個稍微不同的方向，因為我知道這些都是你非常關心的事情，而且我們已經談了很多。請描述一下你在洛杉磯，在你成長的地方所做的事情，因為你正試圖在技術與一切的交匯點為孩子們做一些非凡的事情。早在 2008 年，我就努力去收養了一所有 65 名學生的國中。

I was like, well, let me go back to my neighborhood and see if my hunch is right to prepare this small group of kids, 65 students, with computer science and robotic skill sets while they get prepped to go to college so that when they graduate college, they just don't graduate with debt and a diploma.

我當時想，好吧，讓我回到我的社區，看看我的預感是否正確，讓這一小群孩子（65 名學生）在準備上大學的同時，掌握計算機科學和機器人技能，這樣當他們大學畢業時，就不會只帶著債務和文憑畢業了。

They have the skill sets to fill jobs and create jobs, and now that work has turned into 15,000 students. We send kids to Dartmouth, to

他們掌握的技能可以填補工作崗位並創造就業機會，現在這項工作已轉化為 15,000 名學生。我們把孩子們送到達特茅斯學院，送到

Brown, to Stanford, to Georgetown, USC, UCLA.

布朗大學，斯坦福大學，喬治城大學，南加州大學，加州大學洛杉磯分校。

A lot of our kids have been reaching to go to MIT, but one of our kids were like, I tried to go to MIT, but I ended up at

我們的很多孩子都想去麻省理工學院，但我們的一個孩子說，我也想去麻省理工學院，但我最後還是去了麻省理工學院。

Brown. I was like, yo, that sentence is amazing.

布朗我當時就想，喲，這句話太神奇了。

Right? That sentence is awesome. You felt at the time that the crux of it around technology and computer science was critical, because you could have picked any field, but you focused on computer science, robotics, those kinds of technologies.

對不對？這句話太棒了。你當時覺得，圍繞技術和計算機科學的核心至關重要，因為你可以選擇任何領域，但你把重點放在了計算機科學、機器人技術等這些技術上。

Why? So yeah, why tech and not music? Seeing that I got out the hood through music. In 2008, we were working on the record

為什麼？是啊，為什麼是科技而不是音樂？因為我是通過音樂才擺脫困境的。2008 年，我們正在製作唱片

The End, and I started noticing that all these record stores were closing, and we went from physical stores to digital music. I started seeing this shift in how much money we used to make versus how much money we make now, and projecting out, I'm like, wow, this is probably going to get worse, and entertainment should not be the only path out of the hood, and the success that we've been having is like, you know, 100% of our kids graduate every single year, 70% of which go to school for a STEM skill set, and I'm really proud of the students, because they're picking a path that wasn't cool in 2008, 9, 10, 11, 12, and now it's a cool subject.

我開始注意到所有的唱片店都在關門，我們從實體店轉向了數字音樂。我開始注意到我們以前賺的錢和現在賺的錢之間的變化，預測未來，我就想，哇，情況可能會變得更糟，娛樂不應該是擺脫困境的唯一途徑，我們取得的成功就像，你知道嗎？我真的為學生們感到驕傲，因為他們選擇了一條在 2008 年、9 年、10 年、11 年、12 年都不酷的道路，而現在這是一個很酷的學科。

One of the things that is consistently remarkable to me, and every time you and

其中一件事一直讓我印象深刻，每次你和

I talk, it's just even this conversation is a good example of this, is how you're always ahead. 10 years ahead, you're anticipating what's going to happen, what's going to be important, what's going to be profound. How do we as society get this right?

我說，就連這次談話也是一個很好的例子，你總是走在前面。十年前，你就預料到會發生什麼，什麼會很重要，什麼會很深刻。作為一個社會，我們該如何正確認識這一點？

Because it's one thing for the inventors and the creators of the technology to do certain things, but how does society get it right? Because we've got all these questions about harnessing the technology for good, for useful purposes, for people, for society.

因為技術的發明者和創造者做某些事情是一回事，但社會如何正確對待它呢？因為我們面臨的所有問題都是如何利用技術來造福人類、造福社會。

At the same time, we've got all the risks, like, you know, bias and misuse, and all these things. How do we as society, how do we get it right? Companies need to ensure that there's a computer science and robotics and an AI department in every single high school. More inclusiveness, more effort by these tech giants to rapidly educate, prepare, and inspire folks for this tomorrow. Because if you guys did that, me saying, yeah, my philanthropy is focused on robotics and computer science, that wouldn't be the thing I needed to do, because I do it because there's a gap. I fill a void that's there because it's been neglected. I know you're a very optimistic and hopeful person. What gives you hope about the future that we're talking about? You have technology, AI, and humanity. What gives you hope? Well,

與此同時，我們也面臨著各種風險，比如，你知道的，偏見和濫用，以及所有這些事情。作為社會，我們該如何正確對待？公司需要確保每所高中都有計算機科學、機器人和人工智能系。這些科技巨頭要有更大的包容性，做出更多努力，為明天快速教育、準備和激勵人們。因為如果你們這樣做了，我說，是的，我的慈善事業專注於機器人和計算機科學，那就不是我需要做的事情了，因為我這樣做是因為存在差距。我填補了這個空白，因為它被忽視了。我知道你是一個非常樂觀和充滿希望的人。是什麼讓你對我們正在談論的未來充滿希望？你有技術、人工智能和人性。是什麼

I'm an optimist. I'm an optimist by nature. To get out of the community that I got out of took optimism. I believe in people.

我是一個樂觀主義者。我天生就是個樂觀主義者。要走出我所處的社區，需要樂觀精神。我相信人。

I collaborate for a living. I know that if I apply myself to teams and working with small teams or big teams,

我以合作為生。我知道，如果我把自己應用到團隊中，與小團隊或大團隊合作、

I can help solve problems. And because of that, my contributions, my creativity, my imagination, I cannot not be hopeful.

我能幫助解決問題。正因為如此，我的貢獻、我的創造力、我的想象力，讓我不能不充滿希望。

And the moment that light starts to dim as far as like my imagination and creativity, that's when there's going to be some problems.

一旦我的想象力和創造力開始減弱，就會出現問題。

That enthusiasm and optimism you have is infectious. Every time I spend time with you, I'm inspired. I'm excited. We have fun. I learn a lot. And just your ideas and ideations are just boundless. I mean, you cross so many different areas, topics, fields, concerns, many that we didn't even get to. Because I know you care about the world. You care about progress on things like the SDGs. And there's just so much that seems to inspire you. And by implication, inspires me, inspires us. So thank you. Oh, thank you.

你的熱情和樂觀很有感染力。每次和你在一起，我都很受鼓舞。我很興奮。我們玩得很開心。我學到很多東西。你的想法和創意無窮無盡。我的意思是，你跨越了許多不同的領域、話題、領域、關注點，許多我們甚至都沒有涉及到的。因為我知道你關心世界。你們關心可持續發展目標等方面的進展。很多事情似乎都在激勵著你。同時也激勵著我，激勵著我們。所以，謝謝你。謝謝

you

你