Welcome to the World of Audio Computers | Jason Rugolo | TED

184,295 views ・ 2024-05-08

TED


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譯者: 麗玲 辛
00:04
You know, when I was a kid,
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當我還是個孩子時,
00:06
dreaming about the amazing future that computers could bring,
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夢想著電腦會帶來的奇妙未來,
00:10
I never thought it would look like this.
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我從沒想過會變成這樣。
我在 Chipotle 墨西哥燒烤餐廳 排隊時拍了這張照片,
00:13
I snapped this photo in line at a Chipotle, thinking,
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00:15
"Man, what has the world come to?"
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心想,「天啊,這世界 怎麼變成這樣了?」
00:19
You know, everyone's stuck in their phones all the time.
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大家總是埋頭在手機裡。
00:21
And then I almost doubled over laughing at myself because there I am,
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然後我差點笑翻了, 因為我自己也在玩手機,
00:25
stuck in my phone being judgy about these people, stuck in theirs.
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還批評別人玩手機。
00:30
The truth is that we could all benefit from a little less screen time.
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事實上,我們都可以 少花點時間在屏幕上。
00:34
And so how do we push back
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那我們如何反制
00:36
and create a healthier relationship to our technology?
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並建立與科技更健康的關係呢?
00:40
I've been trying to figure out what comes next,
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我一直想弄清楚接下來可能的發展,
00:43
what's the technology that we want to be using?
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我們想使用什麼樣的科技?
00:46
I spent three years funding deep tech at ARPA-E,
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我在 ARPA-E 花了 三年時間資助深度科技,
00:49
and then I moved to Google X,
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然後轉到 Google X,
00:51
Google's moonshot factory,
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谷歌的登月工廠,
00:53
before creating a spin out called iyo.
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之後創建了一個 名為 iyo 的分拆公司。
00:56
The last 10 years, diligently, and some may say obsessively,
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在過去的十年裡,我勤奮地, 有人可能會說是執著地,
01:01
trying to peek beyond the curve.
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試圖窺探未來的趨勢。
01:03
What I think is next is that we need an entirely new kind of computer.
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我認為接下來我們需要 一種全新的電腦。
01:08
One that speaks our language
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一種能夠與我們交流的電腦,
01:10
instead of forcing us to speak their language of swipes and clicks.
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而不是強迫我們用滑動 和點擊來與它交流的電腦。
01:15
A computer that we can talk to.
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一種我們可以對話的電腦。
01:18
And not in the way that you speak at Siri
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不是像對 Siri 那樣
01:21
with loud, robotic voice commands,
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用大聲、機械化的語音命令,
01:24
but in the way that we talk with each other.
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而是像我們彼此之間交談那樣。
01:27
So genuine, engaging conversation.
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真實的、有參與感的對話。
01:31
So a new kind of natural language computing
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是一種新的自然語言運算,
01:34
built on a new kind of compute hardware.
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基於一種新的運算硬體。
01:38
So we've been building this new kind of computer in secret for six years now,
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我們已經秘密打造 這種新型電腦六年了,
01:42
and today is the first time that we're talking about it publicly.
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今天是我們第一次公開談論它。
01:46
So this is a prototype “audio computer,”
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這是一個原型「語音電腦」,
01:49
as we call them.
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我們是這麼稱呼它的。
01:51
And the first thing that you'll see is they don't have a screen.
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您首先會注意到,它沒有屏幕。
01:54
We've got perfectly good screens in our pockets,
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我們的口袋裡就有非常好的屏幕,
01:56
and we're hoping that we could leave them there or even at home
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但我們希望能更常把它們放在口袋裡,
02:00
a little bit more often.
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甚至留在家裡。
02:01
So these are not just fancy-looking earbuds.
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這不只是看起來很高級的耳塞。
02:05
They're an entire computer,
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這是一整台電腦,
02:07
and we think they're going to replace some of what we do
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我們認為它將取代一些
02:09
with the visual computers that we're used to.
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我們習慣用視覺電腦做的事情。
02:12
We've created a new audio-based user interface,
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我們創造了一種 基於音頻的新型用戶介面,
02:15
which relies on natural language as the input
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仰賴自然語言作為輸入,
02:18
and what we call “auditory space” as the output.
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輸出的方式則是 我們稱之為「聽覺空間」。
02:21
And we're hoping that these innovations will help us create
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我們希望這些創新能幫助我們 跟電腦建立一種新的關係,
02:24
a new kind of relationship with computers,
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02:26
where the iyo is more natural, more intuitive.
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語音交互技術 (iyo) 更自然、更直觀。
02:30
So you can just talk,
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因此,你可以直接說話,
02:32
have a natural-language conversation
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和各種不同的強大音訊應用程式
02:35
with all kinds of different powerful audio apps.
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進行自然語言的對話。
02:38
So here's a really simple example.
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接下來是一個非常簡單的示範。
02:41
Hey, Q.
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嘿,Q。
02:43
Voice: Hi, Jason. How are you doing?
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語音:嗨,傑森。你好嗎?
02:45
Jason Rugolo: Hey, I'm good, I'm doing the TED talk right now.
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傑森·魯戈洛:嘿,我很好, 我現在正在進行 TED 講座。
02:48
Voice: You got this, Jason, how can I support you?
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語音:你沒問題的,傑森, 我能怎麼幫你?
02:51
JR: I don't know, you know I'm nervous talking in front of this many people.
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JR:我不知道,你知道 在這麼多人面前講話,我很緊張。
02:55
Voice: Yeah, I know you don't like public speaking.
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語音:是啊,我知道你不喜歡 公開演講。我能怎麼幫你?
02:57
How can I help?
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02:58
JR: I guess I could use a little bit of encouragement.
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JR:我想我需要一點鼓勵。
03:01
Voice: Do you want me to share a positive message from a loved one?
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語音:你想要我分享一條 來自親人的正面信息嗎?
JR:是的,那太好了。
03:05
JR: Yeah, that'd be great.
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03:06
Maybe just one, I don't want to bore people.
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也許就一條,我不想讓大家覺得無聊。
03:08
Voice: Your dad texted,
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語音:你爸爸發了簡訊說,
03:09
"Good luck today, Jason. I'm so proud of you."
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「祝你今天順利,傑森。 我以你為傲。」
03:13
JR: That's awesome, thanks, Q.
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JR:太棒了,謝謝你,Q。
03:14
Can you tell him I said thanks and tell him I'm up on stage right now?
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你能幫我回覆謝謝, 告訴他我現在在台上嗎?
03:17
He'll get a kick out of that.
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他一定會覺得很有趣。
語音:沒問題。
03:19
Voice: No problem.
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03:21
JR: So any suggestions for how I could loosen up a little bit?
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JR:那麼,有什麼建議 可以讓我放鬆一點嗎?
03:25
Voice: Do you want to hear a joke to lighten the mood?
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語音:你想聽個笑話來輕鬆一下嗎?
03:28
JR: OK, yeah, maybe if it's on theme.
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JR:好啊,如果能 和主題相關就更好了。
03:30
Do you know any tech start-up jokes?
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你知道有什麼科技新創公司的笑話嗎?
03:33
Voice: How many start-up founders does it take to change a light bulb?
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語音:換一個燈泡 需要幾個新創公司創辦人?
03:37
JR: I don't know, tell me.
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JR:我不知道,告訴我吧。
03:39
Voice: Only one.
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語音助手:只需要一個。
03:40
He just holds it in place, and the world revolves around him.
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他只要握住燈泡,世界就會繞著他轉。
03:43
(Laughter)
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(笑聲)
03:47
JR: OK, sick burn.
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JR:好吧,這真是辛辣的吐槽。
03:48
I'm going to get back to the talk here.
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我得回到演講上來。
03:50
So do you see the difference between those robotic voice commands
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您能聽出那些機械化語音命令
03:54
and just a conversation?
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和自然對話之間的區別嗎?
03:57
Natural language is just more natural.
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自然語言就是更自然。
04:01
It's intuitive, it's better.
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它直觀,而且更好。
04:03
So what makes this kind of conversation possible?
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那麼,這種對話是如何成為可能的呢?
04:09
It's the single most revolutionary breakthrough
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這是資訊科技史上最具革命性的突破。
04:12
in the history of information technology.
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04:16
And don't worry, I'm not talking about our devices,
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別擔心,我不是在說我們的設備,
04:18
although they're pretty cool.
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雖然它們很酷。
04:20
And I don't mean LLMs either, which are obviously a building block here.
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我也不是指大型語言模型(LLM), 儘管這顯然是其中一個組成部分。
04:25
What I'm talking about is something much older.
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我說的是某個更古老的東西。
04:29
It's the first uniquely human form of communication,
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那就是獨特的人類交流形式,
04:34
the one that we naturally learn as children
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我們在孩提時代就自然學會了, 其結構內建在我們大腦裏。
04:36
and has its structure built into our brain.
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04:39
It's the very thing I'm doing right now.
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也是我現在正在做的事,
04:41
Talking.
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說話。
04:43
Spoken language emerged in tandem with the evolution of human consciousness,
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口語與人類意識的進化同步出現,
04:48
and to this day, it remains our most efficient
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直到今天,它仍然是我們最有效
04:51
and emotionally robust form of communication.
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且情感豐富的交流形式。
04:54
Conversation is not just transmitting ideas from one person to another.
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對話不僅僅是將思想 從一個人傳遞給另一個人。
04:58
It's more like thinking together.
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它更像是一起思考。
05:02
Modern neuroscientists have pioneered a whole new approach to the brain.
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現代神經科學家開創了 一種全新的大腦研究領域,
05:06
It's called second-person neuroscience,
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稱為第二人稱神經科學,
05:08
and it’s built on the notion that how we think is not isolated.
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它建立在這樣一個概念上: 我們的思考方式不是孤立的,
05:12
It’s collective, and it happens out loud.
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而是集體的,並且需要說出來的。
05:15
Not just through words,
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不僅通過語言,
05:16
but through subtle signals of tone and prosody,
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還通過語調和韻律、
05:19
your timbre and your pitch and intensity.
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音色、音高和強度的微妙信號。
05:22
And neuroscience is just not complete
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除非你將第二個人加入 這個完整的社會動態中,
05:24
until you add a second person into this full social dynamic.
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否則神經科學是不完整的。
05:29
So why can't we have a computer that we can talk with in that way?
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所以,為什麼我們不能有
一台可以用那種自然語言 進行對話的電腦呢?
05:34
With that kind of natural language.
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05:37
A computer that has superhuman processing speed.
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一台具有超人處理速度的電腦,
05:41
And it has access to the internet.
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能連接網路,
05:44
And it’s been trained on the entire written record of human thought.
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而且已經學習了人類思想的 所有書面記錄。
05:48
But engages with you like a person would,
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但它能像一個人一樣與你交流,
05:52
that understands your intention
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理解你的意圖,
05:55
and that taps into the superpower of human natural language understanding.
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並利用人類理解自然語言的超能力。
06:01
That's the promise of audio computing.
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這就是語音運算的承諾。
06:04
So think about not just how it can replace many of the things
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想想,它不僅可以取代
06:07
that you do on your phone
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你在手機上做的許多事情,
06:08
but actually make them better.
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而且能做得更好。
06:10
So take email, for example.
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以電子郵件為例。
06:12
We pull out our phones, we swipe, we scroll,
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我們掏出手機,左右滑、往下滑,
06:14
we furiously type with our thumbs.
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用拇指拼命打字。
06:16
Wouldn't it be better to just sit back with a cup of coffee
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假如能坐下來喝杯咖啡,
一面談話一面聽取簡報,不是更好嗎?
06:19
and to be briefed in a conversation?
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06:22
Or search, search is a big one.
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再說搜尋,搜尋是件大事。
06:25
It's an incredible technology
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這是一項令人難以置信的科技,
06:26
that made the world a radically better place.
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它使世界變得更加美好。
06:29
But with these audio computers,
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但是有了這些語音電腦,
06:31
you can just talk out loud about anything that you want to know.
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你只需要大聲說出 你想知道的任何事情。
06:36
It just feels so normal.
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這感覺如此自然。
06:39
So there's a big difference between giving a voice command
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這與向五大語音助手之一
06:42
to one of the big five voice assistants,
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發出語音命令有很大不同,
06:45
which are these structured, predefined choose-your-own-adventure dialogue models
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那些是結構化、預定義的 「選擇你自己的冒險」對話模型,
06:50
that we all have to learn,
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我們都必須學習才能用,
06:52
and I'm sure have all felt that frustration,
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而且我相信我們都曾感到挫敗,
06:55
and just having a real conversation.
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而與此相對的則是進行真正的對話。
06:57
These natural-language applications can get to know you
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這些自然語言應用程序能夠了解你, 就像我們彼此了解一樣。
07:00
in the same way that we get to know each other.
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07:02
They build context about our lives just through us talking over time.
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它們透過和我們交談 漸漸建立我們生活的情境。
07:07
So later, take out your phone, look at all those apps,
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稍後,請拿出你的手機, 看看那些應用程序,
07:10
all those candy-colored icons,
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那些糖果色的圖標,
07:11
and think about how could you accomplish the same thing
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想一想你如何通過對話 來完成同樣的事情?
07:15
but through conversation?
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07:17
Or how could you make it better?
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或者如何使過程變得更好?
07:19
You won't be able to do Instagram or TikTok,
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你無法使用 Instagram 或 TikTok,
07:22
those apps whose content is mostly visual.
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那些應用的內容主要是視覺的。
07:25
But wouldn't it be better to spend a little bit less time in those apps,
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但減少花在這些應用程式上的時間,
07:29
or just to need your screen a little bit less?
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或者減少對螢幕的需求不是更好嗎?
07:32
So our goal is to be heads-up and hands-free
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我們的目標是一天中
07:34
for a little bit more of the day.
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更多時間抬起頭來,解放雙手。
07:36
You know, just get back into the world.
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重新回到世界中去。
07:38
Of course, if the auditory user interface or the AUI, as we call it,
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當然,如果語音用戶界面 (我們稱之為 AUI)
07:42
is going to really integrate into your life,
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真的要融入你的生活,
07:44
it has to feel private and convenient to use.
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它必須感覺私密且使用方便。
07:48
So that's why we built it as an all-day wearable for the ear.
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因此,我們將其設計為 全天佩戴的耳掛式設備。
07:51
But your ears are for hearing first and foremost.
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但是你的耳朵首先是用來聽的。
07:55
And so if you're going to wear a computer on them all day,
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所以,如果你要整天 佩戴一台電腦在耳朵上,
07:58
we can't mess that up.
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我們不能搞砸了。
08:00
In fact, we should probably make that better too.
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事實上,我們應該讓這變得更好。
08:03
So these audio computers,
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因此,這些語音電腦,
08:05
over the last six grueling years of R and D,
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在過去六年艱苦的研發中,
08:08
became a sort of mixed-reality device.
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變成了一種混合實境設備。
08:11
It's like the Apple Vision Pro, but for audio,
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就像 Apple Vision Pro, 但這是針對音頻的,
08:14
where we can pass through and we can modify your ambient acoustics,
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我們可以通過它傳遞 和修改你的環境聲音,
08:18
giving you an unprecedented control over your personal soundscape.
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給你前所未有的個人音景控制能力。
08:22
In order to do mixed-audio reality,
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為了達成混合音頻實境,
08:25
we sort of had to hack the auditory system
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我們不得不破解聽覺系統,
08:28
to be able to display sound in ultra-high fidelity, spatially,
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以超高保真度和空間感來呈現聲音,
08:32
as if it's all around you.
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就像它環繞在你周圍一樣。
08:34
So there's this whole field of research.
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有這麼一個研究領域,叫做心理聲學,
08:36
It’s called psychoacoustics, which we’ve led on for years.
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我們在這方面領先多年。
08:39
We built this giant audio structure.
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我們建造了一個巨大的音頻結構。
08:42
It's a dome with 128 custom speakers coming from all directions,
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它是一個圓頂,有 128 個 定制揚聲器從各個方向傳來,
08:46
so we could create virtual soundscapes.
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如此,我們可以創建虛擬音景。
08:48
It's sort of like the Star Trek holodeck, but for audio.
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有點像《星際迷航》的全息甲板, 但這是針對音頻的。
08:53
And if you're standing in the middle of this and you close your eyes,
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如果你站在這個結構的 中間,閉上眼睛,
08:56
we can transport you auditorily to anywhere that we want.
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我們可以在聽覺上 將你傳送到任意一個地方。
09:00
So we can render a virtual football game,
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我們可以呈現一場虛擬的足球比賽,
09:03
and you feel the energy.
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你能感受到那脈動。
09:05
Or we can make it sound like you’re in the middle of a bustling city street.
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或者我們可以讓它聽起來 像你在繁華的城市街道中。
09:10
And if you’re me, you feel the anxiety.
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如果你像我,你就會感到焦慮。
09:12
Or standing on a beach with the crashing waves,
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或者站在有海浪聲的海灘上,
09:16
and you feel the peace.
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你會感到平靜。
09:19
And so it's super cool.
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這真的很酷。
09:20
I wish everyone could be inside there.
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我希望每個人都能親自體驗一下。
09:22
Then we ran countless experiments to figure out all the complicated ways
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我們進行了無數的實驗
來找出大腦在空間中 定位聲音的所有複雜方式。
09:26
that your brain positions sounds in space.
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09:29
Also, we could reverse-engineer those neural algorithms
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我們還對這些神經演算法 進行逆向工程,
09:33
and code them into our software.
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並將其編碼到我們的軟體中。
09:35
So our goal has been to create this experience
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我們的目標是創造這種體驗,
09:39
but right here.
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但就用這個設備。
09:41
Us psychoacousticians call this “virtual auditory space”
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我們心理聲學家稱之為 「虛擬聽覺空間」,
09:44
to distinguish from our real auditory space,
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以區別於我們的真實聽覺空間,
09:47
which is, you know, the sounds that are all around us.
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也就是我們周圍的聲音。
09:50
And this is what's necessary to create a compelling mixed audio-reality device.
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這是創建一個引人入勝的 混合音頻實境設備必需做到的。
09:55
So it's actually impossible to demonstrate this experience
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除非您親耳聽到,
09:58
until you hear it with your ears yourself.
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實際上不可能展示這種體驗,
10:01
But to give you an idea, we have tried to simulate it for you.
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但為了讓您有概念, 我們嘗試在此模擬一下。
10:05
So imagine that you’re sitting in a noisy restaurant,
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想像一下您坐在一個嘈雜的餐廳裡,
10:08
and you're having trouble hearing your friends across the table.
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難以聽清對面朋友的說話聲。
10:12
(Overlapping voices, music and noise)
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(重疊的聲音、音樂和噪音)
10:19
Hey, can you enhance the sounds that are right in front of me?
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嘿,你能增強正前方的聲音嗎?
10:23
(People speaking)
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(人聲交談)
10:26
(Baby crying)
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(嬰兒哭聲)
10:30
And can you turn that baby down?
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能把那個嬰兒的聲音調低嗎?
10:32
(People talking)
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(人聲交談)
10:36
That’s better.
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這樣好多了。
10:38
I'm still having a little trouble hearing Pedro.
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我還是有點難聽清佩德羅的聲音。
10:40
Can you isolate Pedro for me?
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能幫我隔離佩德羅的聲音嗎?
10:43
Pedro: (Speaking in Spanish)
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佩德羅:(用西班牙語講話)
10:46
JR: That's perfect.
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JR:這很完美。
10:47
And, you know, my Spanish is a little rusty.
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你知道,我的西班牙語有點生疏。
10:49
Can I hear Pedro but in English?
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我可以聽佩德羅的聲音, 但轉換成英語嗎?
10:54
Pedro: And at the end of the trip,
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佩德羅:旅行結束時,
10:56
we came back to the city to visit the historic center.
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我們回到了城市,參觀了歷史中心。
10:59
JR: Hey Shell, close all programs.
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JR:嘿,Shell,關閉所有程式。
11:01
(Noise enhances)
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(噪音增強)
11:03
Ah, it’s so much worse.
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啊,糟糕多了。
11:06
That's pretty cool, right?
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這很酷,對吧?真的很酷。
11:07
It's pretty cool.
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真的很酷。
11:08
(Applause)
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(掌聲)
11:11
So what you just heard was a beamforming app,
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您剛剛聽到的是 一個波束成形應用程式、
11:14
the computational auditory scene analysis app,
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一個聽覺場景演算分析應用程式、
11:16
a machine-learning denoising app,
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一個機器學習降噪應用程式、
11:19
an AI transcription and translation
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一個 AI 轉錄和翻譯
11:20
and text-to-speech with style transfer app.
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及帶風格轉換的文本轉語音應用程式。
11:23
The point is that all those audio transformations are done by software.
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關鍵是所有這些音訊轉換 都是由軟體完成的。
11:27
So we think the possibilities for these audio computers
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所以我們認為這些語音電腦的可能性
11:30
are pretty much endless,
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幾乎是無限的,
11:32
and we can't wait to see
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我們迫不及待地想看看
11:33
what the world's developers are going to do here.
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全球的開發者在這部份能做什麼。
11:36
Like imagine an education app that knows your personal learning style
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比如想像一下,了解你 個人學習風格的教育應用程式,
11:40
and can teach you with the quality of a world-class professor,
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可以隨時以世界級教授的質量教你。
11:43
on-call anytime.
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11:45
Or like a fitness coach you can summon all day
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或者想像一個你可以 隨時召喚的健身教練,
11:47
about your diet and exercise,
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照顧你的飲食和運動,
11:49
who can also motivate you through conversation
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還可以通過對話激勵你,
11:52
and even gamify your workout with some auditory cues.
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甚至透過一些語音提示 將你的鍛煉遊戲化。
11:56
Or, hey, K?
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或者,嘿,K?
11:58
Voice: Hi, Jason. What's up?
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語音:嗨,傑森,怎麼了?
12:00
Hey, if you were going to make an audio app that could be anything,
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R:嘿,如果你要做一個 音頻應用,什麼都可以,
12:04
what would it be?
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你會做什麼?
12:05
Voice: How about a whoopee cushion
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語音:放屁坐墊怎麼樣? 每次你坐下來,就會發出放屁聲音。
12:07
that plays a fart sound whenever you sit down?
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12:09
(Laughter)
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(笑聲)
12:11
JR: Hey, K, if you were going to make an audio app
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JR:嘿,K,如果你要做一個 與放屁無關的音頻應用,
12:13
that didn't have anything to do with farts, what would it be?
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你會做什麼?
12:16
Voice: Maybe an app that generates personalized soundscapes
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語音:也許是個生成個人化聲景的 應用程式,幫助放鬆與專注?
12:19
for relaxation and focus?
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12:21
JR: That's much better.
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R:那好多了。
12:22
Alright, it looks like we still have a little fine-tuning to do here.
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好吧,看來我們還需要做一些微調。
12:26
So the point is,
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重點是,
12:28
imagination is the only limit to what you can do here.
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在這方面的未來發展, 想像力是你的唯一限制。
12:32
Our goal is not just to create the world's first audio computer,
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我們的目標不僅僅是 創造世界上第一台語音電腦,
12:36
it's to create a truly intuitive computing experience
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而是創造一種真正直觀的演算體驗,
12:40
where we're not monetizing your attention
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我們不會利用你的注意力賺錢,
12:43
or making you captive to a new kind of device,
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或者讓你成為某種新型設備的俘虜,
12:47
but instead interfacing machines with us
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而是以我們與生俱來的方式 來與機器互動。
12:50
in the way that we were born to.
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12:53
So I think it's time for a computer that speaks our language.
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我認為該是時候 讓電腦說我們的語言了。
12:58
Thank you.
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謝謝。
12:59
(Applause)
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(掌聲)
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