Jensen Huang: AI Agents Will Complete Your Work Before You Think About It!

00:08:03
https://www.youtube.com/watch?v=6JBg8d33XVk

Zusammenfassung

TLDRThe discussion centers around the transformative role of digital agents in industries. Unlike traditional tools, these agents are capable of reasoning, using other tools, and collaborating with both humans and other agents to solve complex problems. This evolution in AI technology is rapidly advancing at a pace exceeding Moore's Law, fundamentally changing how industries operate. Agents will enhance efficiency and capabilities in fields like digital biology, disease diagnosis, and science. Education will also benefit, with AI serving as personalized tutors. This new era of technology will reshape organizations, providing unprecedented automation and innovation opportunities. The current limitations, such as AI's lack of memory, are noted, but the overall outlook remains optimistic about AI's potential to revolutionize industry and societal structures.

Mitbringsel

  • 🤖 Digital agents will transform industries by their ability to reason and use tools.
  • 🚀 AI technology is advancing faster than Moore's Law.
  • 👩‍💻 Agents will act like employees, collaborating and solving problems together.
  • 🎓 AI in education will function as personal tutors for students.
  • 📈 This era is witnessing unprecedented technological progress.
  • 🔄 AI's feedback loop is accelerating advancements in computers and AI.
  • 🤝 Collaboration between agents and humans will revolutionize work processes.
  • 🔧 AI will bring new levels of automation and efficiency.
  • 🎬 The next decade is crucial for experiencing these technological breakthroughs.
  • 💡 AI is essential for modern tasks like chip design and software development.

Zeitleiste

  • 00:00:00 - 00:08:03

    The discussion highlights the shift in the industry from tools to skills, with an emphasis on the role of 'agents'. These agents will utilize tools and collaborate to solve problems, creating a massive opportunity for advancements. The speaker expresses optimism about the potential of agents to revolutionize work processes, drawing parallels to the rapid growth and advancements surpassing Moore's Law due to innovations like machine learning. The conversation underscores the transformative power agents will have, akin to onboarding new employees rather than just constructing software. Furthermore, the future promises of agents aiding in diverse sectors like education, design, and supply chain planning suggest a new era in technological advancements for the next decade.

Mind Map

Video-Fragen und Antworten

  • What is the main topic of the talk?

    The future of digital agents and AI in industries.

  • What makes agents different from traditional software tools?

    Agents can reason, use tools, collaborate, and communicate with humans, improving and fine-tuning their output.

  • Why is the advancement of AI described as moving faster than Moore's Law?

    Due to rapid progress in AI development, which affects both computer systems and AI creation in a positive feedback loop.

  • In what domains can digital agents significantly impact according to the discussion?

    Digital biology, disease diagnosis, science, AI-assisted chip design, software development, supply chain planning, and education.

  • How is AI expected to assist in education?

    AI will act as personal tutors, helping students understand and break down new knowledge.

  • What analogy is used to describe integrating agents into work processes?

    Onboarding agents is compared to hiring and training new employees.

  • What is a noted limitation of current AI systems like ChatGPT?

    They lack memory of past interactions, requiring users to start over each time.

  • How does the speaker view the role of AI in the future of industry and society?

    AI will bring unprecedented levels of automation and efficiency.

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Untertitel
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  • 00:00:00
    our industry is you know call it about a
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    trillion dollars and it's an industry of
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    tools you know computers um software
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    their industry of tools for the very
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    first time this is going to be an in
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    Industry of skills and you capture that
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    that phrase and you uh you call it
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    agents but it's going to be for the very
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    first time agents sitting on top of
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    tools agents using tools and the the
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    opportunity for agents is gigantic as we
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    know you know we we now know we now I'm
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    hoping so by the way
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    uh well I I'm I'm hoping so too because
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    you know you hopefully you're going to
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    create hundreds of billions of dollar
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    billions of agents that we can hire to
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    do to do all kinds of things and augment
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    all of our trying to get to our first
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    billion first before I get to the
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    hundreds of billions you know the thing
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    about the thing about digital as soon as
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    you get to the first hundred the next
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    100 thousand's easy the next 100
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    million's easy the next 100 billion is
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    going to be easier than that and so so
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    the the um
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    uh and and you know it it sounds it
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    sounds insane but here's the amazing
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    thing we're going to have agents that
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    obviously uh understand understand the
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    subtleties of the things that we ask it
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    to do but uh it can also uh use tools
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    and it can reason and uh it can reason
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    with each other and collaborate with
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    each other and you know going to we're
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    going to give we're going to give a
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    problem to uh agent force and uh uh
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    agents are going to go find other agents
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    uh that that can help achieve this
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    Mission they'll work together assemble
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    together and work together and solve
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    this problem and and of course of course
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    um uh agents will talk to agents and
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    agents will talk to us and they'll come
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    and ask us you know for feedback and
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    we'll be able to monitor their
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    conversation and and uh uh improve maybe
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    some of their dialogue so that we can uh
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    improve their prompts which improves the
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    output just the the same way that we
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    lead organizations uh the way that we uh
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    you know we we uh uh direct and and
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    fine-tune the results of organizations
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    it's going to be pretty incredible for
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    for everybody here this is this is an
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    extraordinary time because uh in no time
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    in history has computer technology not
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    only uh uh moved faster than Moors law I
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    mean we're Moors law for example over
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    the course of uh over the course of a
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    decade would be about 100x um we are
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    probably advancing at somewhere near
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    100,000 neighbor in Hawaii Gordon Moore
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    oh is that right great person great
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    leader great person and and so we're
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    we're we're at a stage now we're in an
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    era now where where we're moving way
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    faster than Mo's law and and um arguably
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    easily Mo's law squared and and the
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    reason the reason for that of course is
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    at every single layer computers went
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    from CPUs to
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    gpus uh from Human engineered software
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    to machine learning software
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    and and now this feedback loop um that
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    allows us to to um uh create new AIS uh
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    and these new AIS are helping us create
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    new computer systems and these new
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    computer systems are uh advancing at
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    such incredible rates which allows us to
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    create even better AI uh that that
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    feedback that flywheel is really flying
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    now and and so I think I think the the
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    um uh the progress that you're going to
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    have with agents over the next year or
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    two is going to be spectacular and
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    surprising it's going to be a lot more
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    like onboarding employees than writing
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    software right it's going to be a lot
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    more like introducing welcoming a team
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    member to help you do something and
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    you'll you'll communicate with that
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    person and with that agent and explain
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    what is the mission uh show it examples
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    of what the output would look like isn't
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    that right and you'll and we'll just go
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    back and forth and and if you're not too
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    clear about exactly I'm asking you to
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    help me do you're going to prompt back
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    to me and say you're not exactly clear
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    and we're going to go back and forth and
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    I'm going to show you more examples and
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    so I I think this this idea I wish I had
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    called you before my keynote because I
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    would have loved to use that phrase that
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    was absolutely right it's like
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    onboarding employees and it should be
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    easy and understandable and it shouldn't
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    be there we should have to extract the
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    complexity to get this to scale and go
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    to get to your vision now of hundreds of
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    billions of Agents you know and the
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    robots and blah blah blah blah BL all
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    these things we're gonna have we're
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    gonna have teammates we're gonna have
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    agents that are that are excellent at
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    particular skills we're going to have
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    certain agents that have access to
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    particular types of information inside
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    our company with Access Control we're
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    going to have agents uh that are more
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    general purpose and and are able to
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    reason about things it takes them a
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    little longer to reason about missions
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    and break it down into tasks and they're
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    going to be working together and they're
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    going to be recruiting you know they're
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    going to help us go find agents within
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    our company who can be helpful to help
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    them do their jobs and so we're going to
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    be agents working with agents and agents
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    working with us and you know we're going
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    to supercharge The Living Daylights out
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    of our company work is going to be done
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    before we even think of
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    it what do you think about
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    that nobody nobody should miss the next
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    decade would you agree with that the
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    next decade of Technology Advance
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    everybody yeah
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    dude
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    don't you're not going to want to miss
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    this movie yeah you're not going to want
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    to miss this movie I think the next 10
  • 00:05:32
    years uh the the breakthroughs that
  • 00:05:34
    we're going to have in digital biology
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    the breakthroughs uh and just helping uh
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    uh diagnosing disease um the
  • 00:05:42
    breakthroughs in science we're going to
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    have so many scientific assistants in
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    our company we can't design our chips
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    anymore without our AI um digital
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    engineer agents helping us we have
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    hundreds of thousands of them helping
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    all of our Engineers do our job we can't
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    write software anymore without without
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    Ai and we can't debug software anymore
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    without AI um all of the D all the
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    things that we do with uh supply chain
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    planning can't be done without AI the
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    the type of things you know so whether
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    it's in in in how we run companies uh
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    the scientific breakthroughs the way we
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    educate um I I would think that it would
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    be very hard uh to be able to go through
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    school in the future without your own
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    personal tutor helping you through
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    things and and quite frankly you know I
  • 00:06:25
    kind of have my own personal tutor today
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    right I use chat GPT and helping you
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    know think through and I reason through
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    things with it and uh it helps me
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    discover new new knowledge and helps me
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    break it down into understandable chunks
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    and and in a lot of ways Chad GPT is my
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    tutor and and I think a lot of people
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    are going to everybody's going to have
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    their own personal tutor I don't like
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    that it never remembers me you know I
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    don't like every time I go to chat GPT I
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    feel like I'm stared over again you know
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    it's like needs a little more a little
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    more context a little more memory a
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    little more hey do you remember me what
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    I we talked about last time exactly well
  • 00:07:01
    well first of
  • 00:07:03
    all not being bored and not being fired
  • 00:07:07
    are critical conditions for continued
  • 00:07:11
    employment as CEO so um th those those
  • 00:07:15
    are those are my guard rails you know we
  • 00:07:18
    say Enterprise is the name of an
  • 00:07:20
    industry or you know um but the fact of
  • 00:07:22
    the matter is this is how Society is
  • 00:07:24
    built this is how Industries are built
  • 00:07:26
    and we're going to we're going to bring
  • 00:07:28
    a level of uh automation capability that
  • 00:07:31
    the world's never seen and I love that
  • 00:07:33
    you codified it as agents gave it a
  • 00:07:35
    theme song
  • 00:07:38
    um I'll be it needed a theme song it
  • 00:07:40
    needed a them yeah of course and and so
  • 00:07:43
    well going to be whistling you know
  • 00:07:46
    Secret Agent Man all the way home and so
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    anyways I'm excited for you yeah really
  • 00:07:52
    great times and and you're going to
  • 00:07:53
    create hundreds of billions of Agents uh
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    we'll just be underneath uh powering
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    them and um giving them energy you know
  • 00:08:01
    making them do their job super fast
Tags
  • AI
  • digital agents
  • Moore's Law
  • automation
  • technology advancement
  • industry transformation
  • education
  • collaboration