Will AI Make Us the Last Generation to Read and Write? | Victor Riparbelli | TED

00:16:24
https://www.youtube.com/watch?v=6wCml0g2mRE

Ringkasan

TLDRThe talk presents a thought-provoking vision of the future of communication, where AI revolutionizes how we share and consume information. The speaker argues that humanity's transition away from text to more immersive audio-visual forms stems from the limitations of text as a communication medium. Through personal anecdotes and historical context, the speaker illustrates the evolution of content from traditional text forms to the promise of AI-generated video, suggesting that future generations may see reading and writing as relics of the past. The potential for democratized content creation through AI is emphasized, alongside the ethical implications surrounding trust and emotional connections with AI-generated characters and content.

Takeaways

  • 📜 Text may become a historical artifact as AI communication rises.
  • 🎥 AI enables faster, engaging content creation for everyone.
  • 🌐 Personal experiences illustrate the evolution of media consumption.
  • 📊 Studies show a preference for learning with video over text.
  • 🤖 AI could revolutionize education with personalized content.
  • 🎬 The future of content may be interactive and immersive.
  • ⚖️ Ethical questions arise around AI-generated characters.
  • 🔮 Future media could mimic real-life interactions.
  • 🚀 The digital economy is shifting toward video-centric platforms.
  • 🌟 Everyone can now be a director with AI tools.

Garis waktu

  • 00:00:00 - 00:05:00

    The speaker argues that future generations may abandon reading and writing in favor of more intuitive, AI-enabled communication methods like audio and video. They reflect on their love for reading but acknowledge the transformative impact of technology on communication, expressing excitement about how AI could allow anyone to create high-quality video content easily, reminiscent of the past when text was a hard-earned skill.

  • 00:05:00 - 00:10:00

    While recognizing the efficiency and scalability of text, the speaker points out its limitations in conveying nuanced information compared to audio and video. They explain how communication has evolved from oral traditions to text, which became widespread due to technological advances like the printing press. However, they raise the concern that text might become less relevant as society shifts toward video and audio consumption, fueled by platforms like TikTok and YouTube.

  • 00:10:00 - 00:16:24

    The speaker envisions a future where AI-generated content could surpass the limitations of traditional text and video formats, leading to highly interactive and personalized media experiences. They emphasize the potential for educational and entertainment content to be tailored to individual preferences, breaking away from static formats like books and traditional films. The discussion raises ethical questions about AI content generation, provoking viewers to contemplate the implications of merging reality with digital media.

Peta Pikiran

Video Tanya Jawab

  • What does the speaker predict about the future of reading and writing?

    The speaker predicts that future generations will view reading and writing as historical artifacts, replaced by more intuitive forms of communication like video and audio.

  • How does AI impact content creation according to the speaker?

    AI allows for faster, more accurate, and engaging content creation, democratizing media production and enabling anyone to create high-quality video.

  • What was the personal interest of the speaker?

    The speaker has a lifelong interest in media and technology and how they change the way we create, consume, play, and communicate.

  • What was the main argument regarding text?

    The speaker argues that while text is efficient, it is a lossy method of communication and lacks the nuance provided by verbal communication.

  • What kind of media does the speaker envision for education in the future?

    The speaker envisions interactive and personalized media tailored to individual learning preferences, potentially featuring celebrities teaching students.

  • How does the speaker compare future AI-generated media to current content formats?

    The speaker suggests that current AI videos are still a 'bridge genre' and that new interactive and personalized media experiences will evolve.

  • What are some ethical considerations mentioned regarding AI-generated content?

    The speaker raises questions about the authenticity of AI-generated content, the ethics of using virtual actors, and our emotional connections to AI characters.

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Teks
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Gulir Otomatis:
  • 00:00:04
    Your grandchildren will be the last generation to read and write.
  • 00:00:10
    I know that sounds strange.
  • 00:00:12
    Almost unthinkable.
  • 00:00:14
    Text is everywhere around us.
  • 00:00:16
    We use it hundreds of times every single day
  • 00:00:19
    and it's woven into the fabric of our daily lives.
  • 00:00:23
    But today, I'm going to make the case
  • 00:00:26
    that humanity's relentless pursuit of better ways to convey ideas
  • 00:00:31
    and preserve knowledge
  • 00:00:32
    doesn't end with text.
  • 00:00:35
    I think we're at the dawn of a new era of AI-enabled communication,
  • 00:00:40
    and I think that future generations will slowly replace text
  • 00:00:44
    with more intuitive forms of communication,
  • 00:00:46
    like audio, video,
  • 00:00:48
    and eventually immersive technologies.
  • 00:00:50
    And one day, I think we'll look back at reading and writing
  • 00:00:54
    as historical artifacts,
  • 00:00:55
    like we do with papyrus scrolls or hieroglyphs, or cave paintings.
  • 00:01:01
    Don't get me wrong, I love reading.
  • 00:01:03
    This is not a personal vendetta against text.
  • 00:01:06
    (Laughter)
  • 00:01:07
    Some of my fondest memories are walking around in my local library,
  • 00:01:10
    back in Copenhagen like you see behind me here,
  • 00:01:13
    picking out all kinds of books,
  • 00:01:15
    mostly science fiction books,
  • 00:01:16
    returning home to read them
  • 00:01:18
    so I could go back there again
  • 00:01:20
    and pick out the next set of exciting books to read.
  • 00:01:23
    I loved disappearing into these worlds
  • 00:01:25
    that were different than the physical world around me.
  • 00:01:27
    And that, of course, only was amplified
  • 00:01:29
    when I discovered the internet at around ten years old,
  • 00:01:32
    which opened up an entirely new world of ideas,
  • 00:01:36
    of music and people.
  • 00:01:38
    On the internet, information was free,
  • 00:01:40
    and I saw firsthand
  • 00:01:42
    how technology didn't just change the distribution of content,
  • 00:01:45
    it changed the content in itself.
  • 00:01:48
    The difference between a lively forum
  • 00:01:50
    and a book
  • 00:01:52
    is massive.
  • 00:01:54
    A blog and a newspaper, and so on.
  • 00:01:57
    In music, which is my big passion outside of work,
  • 00:02:01
    I saw how software instruments and sampling and drum machines
  • 00:02:05
    gave birth to entirely new genres that had never been possible before.
  • 00:02:09
    And not only that, but all the people around the world
  • 00:02:12
    making new, exciting music
  • 00:02:14
    could share it with the world without the middlemen of labels.
  • 00:02:18
    The video games I played got connected to the internet.
  • 00:02:21
    You formed communities with people around the world that you didn't know.
  • 00:02:25
    That's what my parents thought, at least.
  • 00:02:28
    I started my first business when I was 13 years old
  • 00:02:31
    in World of Warcraft.
  • 00:02:32
    We were 50 people. Slaying dragons together online.
  • 00:02:36
    And I would later learn in life that it's actually not that different
  • 00:02:39
    than running a startup.
  • 00:02:40
    (Laughter)
  • 00:02:42
    And those early years of my life
  • 00:02:43
    sparked a lifelong interest in media and technology.
  • 00:02:47
    How they changed the way that we create, consume, play and communicate.
  • 00:02:52
    And in 2016, I discovered a research paper
  • 00:02:55
    called "Face to Face" by Professor Matthias Niessner and his team.
  • 00:02:59
    They built a system that, using neural networks,
  • 00:03:02
    could produce really, really photorealistic video.
  • 00:03:05
    And when I saw this for the first time, I felt like I'd seen magic,
  • 00:03:08
    and I was convinced that in ten years,
  • 00:03:10
    you're going to be able to create a Hollywood film
  • 00:03:13
    from your bedroom without needing anything else than just your imagination.
  • 00:03:16
    That took three years,
  • 00:03:18
    and I think that's actually going to hold up.
  • 00:03:20
    I couldn't get this idea out of my mind,
  • 00:03:23
    and eventually I ended up founding Synthesia,
  • 00:03:26
    an AI video company,
  • 00:03:28
    along with Matthias and Lourdes and Steffen, my cofounders.
  • 00:03:32
    And this really was a way to kind of marry my interest in media and technology
  • 00:03:37
    and sci-fi.
  • 00:03:38
    We started the company with the vision
  • 00:03:40
    of making everyone in the world into a Hollywood director.
  • 00:03:43
    And while that's definitely still a very exciting vision,
  • 00:03:46
    as the years kind of went on,
  • 00:03:47
    we realized that as exciting as AI-generated Hollywood films are,
  • 00:03:51
    it's only the tip of the iceberg.
  • 00:03:53
    The really exciting potential about these technologies
  • 00:03:56
    is that they're going to enable every single piece of content,
  • 00:03:59
    from text messages to novels to boring corporate training materials,
  • 00:04:03
    to be brought alive in video and audio.
  • 00:04:06
    But before we talk more about video, let's talk about text.
  • 00:04:10
    Text is the original way of compression for human communication.
  • 00:04:14
    We encode our thoughts and knowledge
  • 00:04:16
    into symbols that can convey meaning across time and space.
  • 00:04:20
    That hasn't always been the case.
  • 00:04:21
    Thousands of years ago, text didn’t exist,
  • 00:04:23
    and the only way we had to share information was orally.
  • 00:04:27
    In 1500 before Christ, the first alphabet was invented.
  • 00:04:30
    And it essentially took these very complex writing systems
  • 00:04:33
    and simplified them into just a few characters,
  • 00:04:36
    laying the groundwork for the modern society that we know today.
  • 00:04:40
    In 1440, Gutenberg invented the printing press,
  • 00:04:43
    and for the first time in history, we could mass produce written content.
  • 00:04:48
    It would take until the mid-20th century
  • 00:04:51
    before reading became something for the masses,
  • 00:04:53
    and people slowly became literate.
  • 00:04:55
    If we fast-forward to today, text is ubiquitous,
  • 00:04:59
    and it's impossible to live a life without being able to read and write.
  • 00:05:03
    But as great as text is,
  • 00:05:05
    it's an imperfect technology.
  • 00:05:07
    It's very efficient and it's very scalable,
  • 00:05:10
    but it's a very, very lossy method of compressing information.
  • 00:05:14
    It lacks all the nuance and additional information
  • 00:05:16
    that we get when we speak to someone in real life.
  • 00:05:19
    Your tone of voice, your body language, where you are.
  • 00:05:23
    All those things matter for that message.
  • 00:05:26
    Text can be interpreted a million different ways
  • 00:05:28
    depending on the receiver.
  • 00:05:30
    Is this good news or bad news?
  • 00:05:33
    It's very hard to tell, right?
  • 00:05:34
    (Laughter)
  • 00:05:36
    But we invented emojis to make it a little bit better.
  • 00:05:38
    (Laughter)
  • 00:05:43
    But even emojis are not perfect.
  • 00:05:45
    People are still debating if this smiley is happy.
  • 00:05:50
    Is it pissed?
  • 00:05:51
    (Laughter)
  • 00:05:53
    Is it planning to kill you?
  • 00:05:54
    (Laughter)
  • 00:05:56
    The debate goes on.
  • 00:05:59
    And if you think about visual communication,
  • 00:06:02
    this is an image.
  • 00:06:03
    It took all of you a few seconds
  • 00:06:05
    to look at this image and understand it, right?
  • 00:06:08
    It's a very intuitive way of consuming information.
  • 00:06:12
    What if I share this with you instead?
  • 00:06:13
    A text description of the image.
  • 00:06:15
    Would have taken you 30 seconds to read it,
  • 00:06:18
    with high cognitive load,
  • 00:06:19
    to take pieces of those symbols and turn them into image an in your mind.
  • 00:06:24
    And even if I gave you 30 pages of description,
  • 00:06:27
    you would always imagine a different image
  • 00:06:29
    than what you're seeing behind me right now.
  • 00:06:31
    Once we add a time dimension, as in video,
  • 00:06:34
    this problem massively compounds.
  • 00:06:37
    So it's not that strange that since the invention of text,
  • 00:06:40
    we've been innovating towards richer and more intuitive ways
  • 00:06:43
    of exchanging information.
  • 00:06:44
    We invented radio, TV, internet, VR, social media,
  • 00:06:48
    and now, AI.
  • 00:06:50
    In 2024, it's very obvious that people want to watch and listen.
  • 00:06:54
    If you look at the digital economy,
  • 00:06:56
    TikTok is the fastest growing social network.
  • 00:06:58
    It's also the fastest growing search engine,
  • 00:07:00
    which is very interesting.
  • 00:07:02
    Video and audio is everywhere in the apps that we use.
  • 00:07:05
    We send voice notes on WhatsApp.
  • 00:07:07
    Now we're on dating apps.
  • 00:07:08
    When we shop, we watch product videos.
  • 00:07:11
    And my thesis is that the more we consume video,
  • 00:07:15
    the more bored we are by text.
  • 00:07:17
    And I have to say, this is also true for me.
  • 00:07:20
    Even though I love reading,
  • 00:07:21
    when I long to learn something new,
  • 00:07:23
    I usually start on YouTube or on TikTok, or listen to a podcast.
  • 00:07:28
    And only if I'm really, really invested in something,
  • 00:07:30
    I'll take the hours out of my day to read a 200-page book.
  • 00:07:34
    It just doesn't feel that much like it's worth it anymore.
  • 00:07:36
    And for a lot of you, you probably feel the same.
  • 00:07:39
    Do you want to learn music theory from a long book
  • 00:07:42
    or from a video on YouTube that has audio?
  • 00:07:45
    Do you want to listen to the news on a podcast on the way to work,
  • 00:07:49
    or fold out this physical piece of paper somewhere?
  • 00:07:52
    Most people feel like this,
  • 00:07:54
    but we all have this guilt.
  • 00:07:56
    I have at least.
  • 00:07:57
    I feel guilty when I watch videos and I listen to podcasts
  • 00:08:01
    instead of picking up a good old-fashioned book.
  • 00:08:03
    And you hear the commentary on this.
  • 00:08:05
    "Young people are unable to focus anymore.
  • 00:08:08
    They need constant dopamine hits from cheap content
  • 00:08:11
    that they scroll through on their social media apps.
  • 00:08:14
    They don't get outside their room anymore."
  • 00:08:16
    Exactly the same thing parents have been saying for 200 years.
  • 00:08:20
    I have a provocative idea.
  • 00:08:23
    What if we're all just tired of overly dense,
  • 00:08:27
    slow information?
  • 00:08:29
    Books with too many pages.
  • 00:08:31
    Newspaper articles with filler.
  • 00:08:33
    What if we've become much more sensitive to the quality and the conciseness
  • 00:08:37
    of the content that we consume,
  • 00:08:38
    because we now have infinite choice?
  • 00:08:41
    What if the current generation of kids
  • 00:08:43
    are able to learn and absorb information much faster
  • 00:08:46
    because of technology, not despite it?
  • 00:08:49
    Is the problem us or is the problem text?
  • 00:08:53
    We still read a lot, right?
  • 00:08:54
    We just read from many different sources every single day.
  • 00:08:57
    Not just a book and a newspaper.
  • 00:08:58
    We read our messaging apps, our social media networks and our blogs.
  • 00:09:02
    We listen to long form podcasts.
  • 00:09:04
    That's very growing, right?
  • 00:09:06
    But we still have this idea that books are morally superior in some sense.
  • 00:09:10
    And even though I'm giving you this talk, I still very much feel it.
  • 00:09:13
    I don't know why that is.
  • 00:09:15
    I'll let someone else do the research on that.
  • 00:09:17
    But it's definitely very interesting
  • 00:09:19
    how we psychologically attribute more value to the written word.
  • 00:09:22
    So why is so much information still text if we really prefer video?
  • 00:09:26
    It's pretty simple. The answer is cost.
  • 00:09:29
    Cost in time and cost in money.
  • 00:09:32
    Today we have to pick between the speed and scale of text
  • 00:09:36
    or the accuracy and engagement of video content.
  • 00:09:39
    And so there is this underlying economic incentive
  • 00:09:42
    where only the content and the ideas and the knowledge we deem important enough
  • 00:09:45
    gets converted into video and audio formats.
  • 00:09:49
    And so in the entertainment industry,
  • 00:09:50
    this means that we get "Fast and Furious 278"
  • 00:09:53
    rather than avant-garde cinema from film students.
  • 00:09:57
    In the corporate world,
  • 00:09:58
    this means that the Super Bowl ad is a video,
  • 00:10:00
    but the fire safety video is a long, boring document.
  • 00:10:05
    And this is about to change
  • 00:10:09
    in a big, big way.
  • 00:10:11
    AI will change that equation completely.
  • 00:10:14
    With AI, we can get both speed, scale, accuracy and engagement.
  • 00:10:18
    AI can create highly photorealistic content digitally.
  • 00:10:21
    Computers can learn what the world looks like,
  • 00:10:24
    and they can replicate it and remix it in amazing detail.
  • 00:10:27
    This is going to usher in a new wave of creativity,
  • 00:10:29
    and it's not going to be driven by Hollywood.
  • 00:10:31
    It's going to be driven by YouTubers and young people with great ideas
  • 00:10:35
    who will take these tools and tell amazing stories.
  • 00:10:39
    At Synthesia we focus on AI avatars,
  • 00:10:42
    digital humans that sound and look like us.
  • 00:10:44
    They can even be us if you make a clone of yourself.
  • 00:10:48
    Today, our avatars already interact with millions of people every single day.
  • 00:10:52
    They teach school subjects, they onboard restaurant workers,
  • 00:10:55
    provide health guidance and sell products in more than 130 different languages.
  • 00:11:00
    And they're getting really good.
  • 00:11:01
    Very soon they'll be very difficult to distinguish from reality.
  • 00:11:05
    (Video) Hello, I’m Alex, a personal avatar.
  • 00:11:08
    I am so excited and happy to be here.
  • 00:11:10
    Can you see how expressive I look and hear how natural I sound?
  • 00:11:14
    Isn’t it great? Bye for now. Hope to see you soon.
  • 00:11:17
    Victor Riparbelli: This video is entirely AI-generated.
  • 00:11:20
    (Video) I'm Alex --
  • 00:11:21
    (Laughter)
  • 00:11:23
    VR: They still don’t know when to stop speaking.
  • 00:11:25
    (Laughter)
  • 00:11:26
    So with these technologies,
  • 00:11:27
    we can create anything without the need for cameras.
  • 00:11:30
    We can bring our imaginations to life
  • 00:11:32
    without the traditional barriers of skill and cost.
  • 00:11:35
    But what's more exciting about all these new technologies
  • 00:11:38
    is that they're going to make it extremely easy
  • 00:11:40
    for anyone to create content.
  • 00:11:43
    We've already seen how keyboards and computers
  • 00:11:45
    turned all of us into writers.
  • 00:11:47
    We've seen how PowerPoint turned all of us into designers.
  • 00:11:50
    And with AI, everyone is going to be able to be a director,
  • 00:11:53
    producing Hollywood-grade video without needing any training at all.
  • 00:11:56
    Like you can see here behind me.
  • 00:11:58
    At Synthesia, we've already turned more than a million people into video creators,
  • 00:12:02
    and it's really fun to see all the things people make videos about,
  • 00:12:06
    but they don't have to ask their boss because they can just log on
  • 00:12:09
    and make the videos themselves.
  • 00:12:11
    Why do people make videos?
  • 00:12:13
    It's not a very well-researched area yet,
  • 00:12:15
    but we've been working with UCL in London
  • 00:12:18
    to figure out how do we learn differently with video and AI video versus text?
  • 00:12:24
    We did a study with 400 participants.
  • 00:12:26
    It's still ongoing.
  • 00:12:28
    We plan to publish the results sometime next year,
  • 00:12:30
    but there's some really interesting initial findings.
  • 00:12:33
    When you just ask people,
  • 00:12:34
    do you prefer to learn with AI video or text,
  • 00:12:36
    the results are pretty astonishing.
  • 00:12:38
    77% of people prefer to learn through text --
  • 00:12:41
    sorry, through video.
  • 00:12:43
    (Laughter)
  • 00:12:45
    So faster and easier content creation will be transformative.
  • 00:12:49
    But with new technologies, we always invent new media formats.
  • 00:12:54
    And right now, most AI-generated content is what I call a bridge genre.
  • 00:12:59
    We're using it to create old formats with new technologies.
  • 00:13:03
    Just like the first newspapers --
  • 00:13:05
    sorry, the first websites looked like newspapers on a screen,
  • 00:13:08
    AI videos today are linear,
  • 00:13:11
    they have a beginning and an end,
  • 00:13:12
    and they essentially emulate what we can record with a physical camera.
  • 00:13:18
    Once we combine AI video
  • 00:13:20
    with reasoning systems, like language models,
  • 00:13:23
    we're going to unlock an entirely new type of media
  • 00:13:25
    that's going to be interactive and personalized.
  • 00:13:28
    It's going to be able to think and narrate and personalize content for us.
  • 00:13:32
    If you're learning music theory,
  • 00:13:33
    you will have an assistant that knows your skill level,
  • 00:13:37
    knows your taste in music,
  • 00:13:38
    and builds a curriculum around that.
  • 00:13:40
    All of your kids maybe will have their favorite celebrities
  • 00:13:43
    teaching them math in school.
  • 00:13:47
    And they'll do it in a context that's interesting for your kid.
  • 00:13:50
    Maybe that's soccer, or sci-fi, or whatever.
  • 00:13:53
    Education is going to be turbocharged with these new AI systems.
  • 00:13:58
    Entertainment is going to change.
  • 00:14:00
    It's going to be shaped by the viewers and by the world around them.
  • 00:14:04
    We'll probably have interactive films, we'll have TV series that never end.
  • 00:14:09
    It sounds weird, but in many ways,
  • 00:14:11
    this is what a social media feed is, right?
  • 00:14:13
    It's just an endless story.
  • 00:14:15
    Your TikTok feed is also an endless stream of personalized content just for you.
  • 00:14:21
    And when we combine this with new form factors like AR, VR,
  • 00:14:25
    brain-computer interfaces,
  • 00:14:27
    media is increasingly going to appear like real life.
  • 00:14:30
    Maybe we'll be transmitting messages to our friends
  • 00:14:33
    just via thought in the future,
  • 00:14:35
    and our inbox is not going to be text,
  • 00:14:37
    it's going to be videos
  • 00:14:39
    of all your friends' and your relatives' AI avatars talking to you.
  • 00:14:42
    It sounds weird, but I don't think it's that far off.
  • 00:14:46
    And I promise you that your fire safety video at work
  • 00:14:49
    will be a Spielberg-esque masterpiece in the not so distant future.
  • 00:14:52
    (Laughter)
  • 00:14:53
    These technologies open up a Pandora's box of questions.
  • 00:14:57
    There's ethical questions, political questions,
  • 00:15:00
    design questions, and there's commercial questions.
  • 00:15:03
    And there are many speakers today sharing great viewpoints in those.
  • 00:15:07
    I'll leave you with a few provocative questions.
  • 00:15:11
    Do you care if our content is AI-generated or not?
  • 00:15:15
    Do you care when a film uses special effects or green screen?
  • 00:15:20
    Do we care that actors in commercials are paid to play someone else
  • 00:15:25
    and endorse products that they've probably never heard of?
  • 00:15:29
    Do we care if actors are real or generated?
  • 00:15:33
    Are you a fan of Harry Potter or Daniel Radcliffe?
  • 00:15:37
    Does it matter that Daniel Radcliffe exists in the real world?
  • 00:15:40
    (Laughter)
  • 00:15:41
    You'll never meet him. Probably, right?
  • 00:15:45
    What about Mickey Mouse or Pixar characters?
  • 00:15:48
    Can we feel something for them despite them being AI-generated?
  • 00:15:51
    Will we trust AI agents,
  • 00:15:52
    or do you still want to call the call center to speak to a human?
  • 00:15:56
    Can we be entertained by computers interacting with each other?
  • 00:16:00
    Would you want to play computers,
  • 00:16:01
    play soccer, or play chess against each other?
  • 00:16:04
    Maybe not.
  • 00:16:06
    The future is ahead of us.
  • 00:16:07
    And while a lot of this sounds like sci-fi,
  • 00:16:09
    it really isn't that far off.
  • 00:16:11
    And it's up to all of us in this room and society
  • 00:16:14
    to make sure that we build a really awesome future.
  • 00:16:17
    I think we have the technologies
  • 00:16:19
    and I think we have the people to do it.
  • 00:16:21
    Thank you.
  • 00:16:22
    (Applause)
Tags
  • communication
  • AI
  • video
  • text
  • media
  • future
  • learning
  • technology
  • content creation
  • ethics