“The Future of AI is Here” — Fei-Fei Li Unveils the Next Frontier of AI

Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, our guests have long been laying the groundwork for innovations that are transforming industries today.

In this episode, a16z General Partner Martin Casado joins Fei-Fei and Justin to explore the journey from early AI winters to the rise of deep learning and the rapid expansion of multimodal AI. From foundational advancements like ImageNet to the cutting-edge realm of spatial intelligence, Fei-Fei and Justin share the breakthroughs that have shaped the AI landscape and reveal what's next for innovation at World Labs.

If you're curious about how AI is evolving beyond language models and into a new realm of 3D, generative worlds, this episode is a must-listen.

Timestamps:
00:00 - Spatial Intelligence: A New Frontier
01:38 - Scaling AI: The Impact of ImageNet on Computer Vision
06:56 - The Role of Compute
09:16 - Data as the Key Driver
17:01 - Defining AI’s Ultimate Goal
18:58 - What is Spatial Intelligence? Unlocking 3D Understanding in AI
26:35 - Comparing Models: Spatial Intelligence vs. Language-Based AI
29:41 - 1D vs. 3D
32:39 - Building Immersive Worlds with Spatial Intelligence
35:11 - From Static Scenes to Dynamic Worlds
37:42 - The Future of VR and AR
40:42 - Creating Deep Tech Platforms
44:26 - Building a World-Class Team
45:54 - Measuring Success: Milestones in Spatial Intelligence

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Timestamps:
00:00 - Spatial Intelligence: A New Frontier
01:38 - Scaling AI: The Impact of ImageNet on Computer Vision
06:56 - The Role of Compute
09:16 - Data as the Key Driver
17:01 - Defining AI’s Ultimate Goal
18:58 - What is Spatial Intelligence? Unlocking 3D Understanding in AI
26:35 - Comparing Models: Spatial Intelligence vs. Language-Based AI
29:41 - 1D vs. 3D
32:39 - Building Immersive Worlds with Spatial Intelligence
35:11 - From Static Scenes to Dynamic Worlds
37:42 - The Future of VR and AR
40:42 - Creating Deep Tech Platforms
44:26 - Building a World-Class Team
45:54 - Measuring Success: Milestones in Spatial Intelligence

[ai_outline]

We want more computer science experts like Fei-Fei Li talking about AI! Tired of gurus and hype merchants. Great video ❤️

[pubwvj]

We were doing generative in 1978. I was using LISP on a PD-11 at Harvard. I did my thesis in AI finishing in 1986. We were EXTREMELY compute and data volume limited. My phone is a 1, 000x more powerful than the computers I had access to back then.

[PhilosopherScholar]

This is really some great content. It's like sitting in on a private meeting with two of the world's top academics yet they're talking about the history of ai since their beginning in the field. I wish there were way more videos like this.

[ProxyAuthenticationRequired]

What a wonderful mentor-mentee relationship! Fei-Fei is such a loveably genuine and caring person.

[Bryghtpath]

ImageNet, launched in 2009, played a pivotal role in the rise of deep learning. Fei-Fei Li’s work on this project marked a turning point in AI, pushing it toward the incredible capabilities we’re seeing today.

[jongwonpark]

My deep learning teachers, wish you all the best.

[ptkjuwb]

I have been thinking a lot about this. Interaction with the 3D world is the next step. A diverse dataset is the way to get there.

[jordan]

Simply amazing . This is such a hidden gem of a video . In 3-5 years this is all going to make way more sense for most people . I would not under estimate this team . I hope they open source their discoveries

[wangchengyan]

Martin, Feifei, and Justin widened my imaginations on what our digital spatial spaces could be like in the future, great video!🔥🔥🔥

[ptkjuwb]

There's some gold in here for anyone learning more about AI

[huongdantuhoctrituenhantao]

Thank you mrs Fei-Fei Li thank you Justin for world-class deep learning course

[vocesanticae]

Thank you for sharing your brilliance, curiosity, and collaborations with the world. Hearing about the differences and connections between 1D v 2D v 3D models was particularly enlightening. 4D was mentioned, just briefly though. I wonder how much growth and insight may be found by adding time as backward-looking and forward-looking connective tissue to all modeling, e.g., transforming 1D language models into 2D echo chamber maps and dialogic predictions, expanding 2D images into retrospective and prospective time-lapse immersions, and rendering 3D models as past-looking and forward-looking world-dramas? Seeking to traverse and shift from high-dimensional to low-dimensional, and simultaneously from low to high may be a fruitful research and development path to connect and intersect all models.

[OrangeDurito]

This was a wonderful interview and the interviewers asked really great questions. Massive respect to these trailblazers for imagining stuff beyond the mainstream and making endeavors to pursue it.

[BestFitSquareChannel]

Fei-Fei Li!!! Best wishes. You deserve every accolade, every blessing. 🌞🤸🏽‍♂️🖖🏼

[jhoncharlesdf.]

Great conversation, It was nice to listen to Fei-Fei Li... One of the important points Fei-Fei pointed out to us was that vision is probably older than language. This blew my mind, and it must be true. First you look, then you speak! This opens up hundreds of possibilities...!

[WorldSeriesBound]

I have had to take a few breaks from this conversation to absorb the density of knowledge. I absolutely love it! I've been introduced to two incredible minds. Thank you!

[Superfandotfan]

What an exceptionally great interview... so much was touched here... and the historic perspective is humbling. Thank you all.

[armandbarbe]

Context is so important. If I am inside an airplane and look down I decide the white stuff is clouds. If I'm on the ground and look down I choose "snow", not "clouds". So the history of how I got there, and input from more sensors than vision, are important to help make sense of the pixels.

[honkiemonkey]

It seems that the practical applications of these developments are still in the process of being fully realized. I hope they are finding ways to apply these innovations beyond just gaming. With that in mind, here are a few possible areas where they might have significant impact:

1. Generating a comprehensive set of architectural and engineering designs based on site parameters and design preferences.
2. Creating 3D product designs, such as furniture or wearable technology, that adapt to environmental factors and surroundings.
3. Offering emergency assistance through augmented reality, such as using smart goggles to guide someone through landing a plane in a critical situation.
4. Enabling underwater robotic welding to facilitate complex repairs in challenging environments.
5. Utilizing autonomous drones that can navigate hostile environments and selectively target designated individuals. It might sound harsh, but it’s likely similar technology to what they would be using for shooting games.