Fei-Fei Li's Startup Raises $230 Million in Funding
Summary
TLDR在这段访谈中,Kahlil Lee博士讨论了他在学术界和私营部门筹集资金的经历,以及他如何将空间智能的概念从学术研究转化为实际应用。他解释了空间智能的含义,即人类和动物在三维世界中理解、推理和互动的能力,并强调了将这种智能引入计算机的挑战。Lee博士还讨论了空间智能在多个领域的潜在应用,包括艺术创作、设计、建筑、机器人技术和制造业,并强调了公共部门和私营部门在推动此类技术发展中的重要性。
Takeaways
- 💡 李飞飞博士强调了空间智能的重要性,这是人类和动物都具备的一种古老能力,涉及理解、推理、生成和与3D世界互动。
- 🌟 李飞飞博士提到,尽管她在学术界和私营部门都有经验,但将空间智能变为现实是一个极具挑战性的问题。
- 🚀 她认为空间智能是人工智能领域的下一个前沿,需要将2D图像识别的进展扩展到3D世界。
- 🤖 空间智能的应用非常广泛,包括创意产业、设计、开发、建筑、机器人技术、制造业以及增强现实和虚拟现实。
- 💼 李飞飞博士解释了为什么空间计算需要空间智能,以及这对许多其他用例的重要性。
- 💸 她讨论了为什么需要私人部门的资金来推动空间智能的发展,包括生态系统中的基础研究和工业驱动的专注。
- 🏆 李飞飞博士提到了ImageNet项目,这是她在计算机视觉领域的早期工作,她认为空间智能是她职业生涯的延续。
- 🌐 她强调了公共部门和私营部门在推动技术发展中的重要性,以及她对公共部门资金的持续需求。
- 🤝 李飞飞博士提到了一些AI领域的知名人士,如Jeff Dean和Geoffrey Hinton,他们对空间智能项目的投资和支持。
- 🎓 她呼吁增加对学术界和基础科学研究的投资,以支持学生、教职员工和研究人员进行基础科学研究。
Q & A
在学术界筹集资金和在私营领域筹集资金有什么不同?
-在学术界筹集资金通常是为了支持基础研究和好奇心驱动的研究,而在私营领域筹集资金则需要展示技术的实际应用和商业潜力。
什么是空间智能,它与人类智能有什么关联?
-空间智能是指理解、推理、生成和在三维世界中互动的能力,这是人类和动物经过数百万年进化获得的能力。
空间智能在计算机视觉领域中扮演什么角色?
-空间智能是计算机视觉领域中的下一个前沿,它涉及到将图像和视觉信息转化为三维理解,这对于真实世界的理解和交互至关重要。
为什么将空间智能应用到三维世界中是一个挑战?
-因为现实世界是三维的,而人类的空间智能是基于理解和操作三维的天然能力,将这种能力转化为计算机系统是一个技术挑战。
空间智能在现实世界中的应用有哪些?
-空间智能的应用非常广泛,包括机器人技术、制造业、增强现实(AR)、虚拟现实(VR)以及任何需要与现实世界交互的场景。
为什么空间计算需要空间智能?
-空间计算需要处理三维空间中的数据和交互,空间智能提供了理解和操作这些数据的能力。
为什么私营部门对空间智能的研究很重要?
-私营部门可以提供资金、资源和市场驱动的研究方向,有助于将学术研究成果转化为实际应用。
为什么需要从风险投资那里获得资金?
-风险投资提供了必要的资金来支持创新技术的研发,并且能够吸引那些相信并愿意解决难题的人才。
ImageNet对空间智能的发展有何影响?
-ImageNet是计算机视觉领域的一个里程碑,它推动了对象识别和图像处理技术的发展,为空间智能的研究奠定了基础。
为什么说空间智能是人工智能的下一个‘北极星’问题?
-因为空间智能是理解现实世界的关键,它可能会像ImageNet一样,推动人工智能领域的重大进步。
为什么认为公共部门也需要资金来支持研究和开发?
-公共部门的研究是创新的基础,它为私营部门提供了原始的技术和理论,两者相辅相成,共同推动技术进步。
Outlines
💼 从学术界到私企融资
在第一段中,Kahlil 被问及从学术界进入私企并筹集资金的经历。他提到,尽管之前在私企工作过,但筹集资金并非易事。他强调了空间智能的重要性,并表示对于能够聚集一群杰出人才来解决这一难题感到兴奋。Kahlil 解释了空间智能的概念,即人类和动物理解、推理、生成和在三维世界中互动的能力。他提到,尽管人工智能在语言处理方面取得了巨大进步,但将这些进展应用到三维空间中是一个更大的挑战。Kahlil 还讨论了空间智能在机器人、制造业和增强现实等领域的潜在应用,并强调了私企在推动这一领域发展中的作用。
🌐 空间智能:AI的新北星
在第二段中,Kahlil 讨论了空间智能与他之前在 ImageNet 项目中的工作之间的联系。他认为空间智能是计算机视觉领域的下一个重要挑战,并且是他在 AI 领域的下一个'北星'问题。他提到,尽管 ImageNet 项目在二维空间中取得了成功,但空间智能将引领 AI 进入三维空间的新篇章。Kahlil 强调了公共和私有部门在推动 AI 研究中的重要性,并呼吁增加对学术界的投资,以便学生和研究人员能够继续进行基础科学研究。他还提到了一些知名的 AI 专家和风险投资公司对 World Labs 的投资,这表明他们对解决这一难题的信心。
Mindmap
Keywords
💡空间智能
💡三维
💡人工智能
💡计算
💡投资
💡研究与开发
💡公共部门
💡私营部门
💡机器学习
💡虚拟现实(VR)和增强现实(AR)
💡机器人学
Highlights
进入私营领域筹集资金的挑战
空间智能的概念及其重要性
空间智能与人类及动物的进化
计算机视觉和空间智能的进展
3D世界对空间智能的重要性
空间智能在现实世界中的应用
空间计算与空间智能的关系
为什么空间计算需要风险投资
学术界与产业界的合作生态
ImageNet对空间智能研究的影响
空间智能作为AI的新北星问题
如何向AI领域的大人物筹集资金
公共部门与私营部门在研发中的资金需求
对公共部门投资的必要性
私营部门对资源的访问
对学术界基础研究的支持
Transcripts
What was it like raising funds as an academic now entering this private world
to be raising money? You've been in private well before, but
to raise funds. Was it easy from this star studded list?
Good morning, Kahlil. It's really good to be here.
Well, nothing is easy, but what's really, really hard is make spatial
intelligence happen. I'm just so excited that we've brought
together a incredible group of pixel talents to work on this really, really
hard problem that we now call spatial intelligence.
Explain to us what you mean when you say spatial intelligence and what is it that
you're building exactly? Yeah.
Rachel Well, look, humans have spatial intelligence.
It's actually a very ancient ability. We have evolved over millions and
millions of years. It's the ability to understand, to
reason, to generate and to even interact in a 3D world, whether you're looking at
a beautiful flower or trying to touch a butterfly or building a city.
All of this is part of the capability of spatial intelligence.
We see that with humans and we see that with animals.
How do you expect that? We'll see that with computers?
Well, that's the problem we're working on.
We're already starting to make tremendous progress.
The past decade of A.I. has been pretty exhilarating, and people
hear a lot about language recently. But truly, in the world of pixels of
vision and spatial intelligence, we've been making progress, such as
understanding what's in the picture. To be able to tell a story of what's in
the picture, to even prompting a sentence and get up to the image out of
it. But what's really the next frontier,
which is such a hard problem to crack, is to bring all this into 3-D because
the real world is 3D and human's spatial intelligence is built upon this very
native capability of understanding and working with 3D.
So let's put into real world context that
working with 3D the applications, is it robotics?
Is it manufacturing? Is it just us interacting with the real
world when we put our AI function glasses on?
You're Laurel and Carolyn. Those is such a foundational technology
and such foundational ability for for computers that it has implications in a
wide range of use cases. To start with, right creators.
Creators includes not only artists and VFX creators, but also designers,
developers, builders. And this technology has a profound
implication for them. But in the long arc of this, of course,
robotics manufacturing, a AR, VR. This is you know, there's a reason that
Apple calls their vision pro spatial computing.
Well, in my opinion, spatial computing needs spatial intelligence.
So does many other use cases. Why does spatial computing need VC
money? Private sector action.
What couldn't you achieve in academia? So this is a whole ecosystem.
We've been seeing this in air. We've been seeing this for years now.
And this dates back to any technology that our society, our country is
building. Right?
This ecosystem needs upstream, fundamental, curiosity driven research,
which I have spent many years of my life in.
But it also needs a very focused drive in industry.
We've got great big tech companies working on related problems, but we also
what's beautiful about our ecosystem are startups.
There has a tall dream, has has the ability to call on the believers who
believe in cracking such a hard problem. And we come together and focus all of
our energy in solving this truly hard problem that needs to be scaled, needs
to be protectionist, and needs to be delivered in the hands of users and
customers. Dr.
Lee, one of the things that you're most well-known for is image net and big
database of millions of images that really help push forward the field of
object recognition and images. I'm curious how your work on that played
into your decision to start World Labs. How are how do you see those two things
as related? Yeah, thanks for asking that question,
Rachel. I think they're related in into two ways
at least. One is that image, and that is one of
the earlier work in the field of computer vision, which is in the pixel
space. Granted, in that time, you know, more
than ten years ago what image that and the derivative algorithms were able to
do are still in the 2D space, right. Recognizing objects in photos and
eventually telling stories of pictures. But now this is a an intellectual
continuation of the early work in computer vision.
Now we're into the next really difficult chapter, which is spatial intelligence.
So intellectually, I feel it's my life's work in continuation.
And zooming out to one layer image that was my
more than 15 years ago. It was my intellectual bet on a big
North Star problem, a North Star problem that had really changed the course of
A.I.. I do believe spatial intelligence is the
next North star for me and for my team, that it will change the course of A.I..
One of the things I'm wondering about with the funding for this company is
there are a number of big names in A.I. in particular that invested in this.
We've got Jeff Dean and Jeffrey Hinton, Andre Carpathia, some of them you've
worked with previously. I know several of you were at Google at
the same time. How did you pitch them on it?
Well, that's the beauty of our field. The first of all, these people have been
friends and colleagues for years, or former students.
I think they share my belief. I think they see this as such a big
problem and they'd be leaving my team when they hear my co-founders, Ben
Mildenhall, Christoph Laster, Justin Johnson, and really the entire founding
team, they recognize that while this is a tough problem, it needs
people who really can have the ability and believe to to crack this.
And I think that's why they they supported us.
You've got money from big name VCs as well, and he and Horowitz, to name just
one. I'm interested more broadly about the
rallying call you've had for money to go towards academia.
You went to President Biden himself saying that there needs to be more
funding in the public sector as well as the private sector when it comes to R&D,
ultimately, so universities can access GPU and compute.
Are you still feeling that necessity that public sector needs money or have
you just sort of given up and gone to the private sector hit
a Carlyle? I actually believe even more so now that
I'm traversing both the private and the public sector, that seeing the access to
compute, access to support in the private sector, I believe none of us
will be here in the private sector without the public sector.
You know, image that convolutional neural network back propagation
transformer models, meaning of this seminal work in AI came from public
sector first. So so I think this ecosystem is so
critical and missing or or the imbalance of any component is harmful for the
ecosystem. And now I have personally experienced to
see the access we have to resources. It makes me believe even more that our
country needs to invest in our public sector, academia, in this kind of
moonshot mentality to support, you know, students and faculty and researchers in
basic science research.
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