This woman was instrumental in making AI see. We wouldn’t have GPT-4 Omni, Google Ask Photos, Tesla FSD, Apple Face ID, computer vision in medical imaging, etc., without her work! Bravo 👏

4:01 "My student Adrej Karpathy" wow what a statement.

She’s been called the godmother of AI and I couldn’t agree more. Without what she did with ImageNet, neural networks might not have seen the light of day. Despite her incredible intelligence and enormous contributions to the field of AI, she remains humble, optimistic and approachable. I highly recommend folks to read her recently published book called The Worlds I See, which traces her arduous journey as an immigrant to the US who speaks little to no English, climbing her way up to be one of the most respected professors and influential researchers in the world of AI.

Lots of Respect for Fei Fei Li

First Mustafa then Demis and now Fei Fei Li, TED really knows where the world will going? So Thank you so much.

Stunning intro .. wish we had more science teachers with her gift of explaining in interesting ways.

One of the best TED talks I’ve seen in recent times. As someone in the robotics and AI field, she is an absolute legend! Thank you for everything, Prof. Li.

AI is one of the most exciting and encouraging tech in our generation. While we thought we had hit a plateau, current developments have shown us how we have barely scratched the surface of AI's potential. To all those striving for a "better way to make a better world", kudis. And thank you TED for giving such great people a platform ❤

Compelling and concise presentation. I love the link to the evolution of the eye and the Cambrian Explosion. We're so early in this incredible leg of the journey towards something truly transformational. I can hardly wait to see what's next.

Fei Fei Li is such a boss.

Are our societies really ready for AI and the changes it will bring? Changes that most of us have not yet even started to realize. We are being shown wonders, but when would those become nightmares?

I sense that she has a really great sense of the big picture. What a beautiful presentation truly - I feel very happy to have seen the world through her capable big picture lens. To understand more things on a meta sort of level is astounding!

Wonderful vision and insights.

Interesting you speak about human surveillance for technology and human dignity at the same time with such ease.

I didn't what were Ted talks but now I really enjoy listening to it. My English teacher suggested me to listen to these Ted talks as it improves my language by increasing my vocabulary and accent . It really helped.

Pretty mind blowing.

This is the beginning.

Thanks a lot! The talk is a good supplement to her book 'The Worlds I See'. I've deepen my understanding of the book.

Respect 🫡 A pioneer in computer vision!

Thanks Fei Fei Li about your brillhant palestry and contribuition about AI and Computation Sciency in Stanford University. And your last book is very good book. Congratulations here the Brazil

Hard to imagine the current applications is generally wider now compared to those portrayed in some science fiction. Albeit smaller in scale but we are getting there fast. Can't believe i would see such things in our lifetimes

We’re overcoming Moravec’s paradox with this one!! 🔥 🔥 🔥

Incredible presentation on AI's evolution! This is a must-watch for anyone interested in tech.

I would be thrilled if Nvidia supplied half of their annual GPU production to this woman's laboratory.

Very well said Fei-Fei!

Phenomenal presentation!

I really enjoy ai and I think that there's a good future in assisting people with getting major things done like waste management ,ocean cleanup,nuclear disaster clean ups,

很有启发👍

You are Remarkable Fei Fei

Brilliant , bravo ❤❤❤❤❤

TED talks are a great source for educating oneself. Thank you these experts for their dedicated time and beautiful speeches.

I really like the idea, imagine LLM with spatial perception, that is one of the things that is missing from an actual image, we human don't need the 3D representation of the scene to be seen by us in order to understand the full environment, but we do have a pair of eyes to perceive the depth and distance of everything around us. And that is what AI in vision needs, the ability to see depth without using special scanners or detectors, but angled cameras with a really robust spatial algorithm that can understand the scene and perform action within the scene. Additionally, she talks about "doing", all current models we have to this date, especially personal AI assistant, requires your input for you to get an output, the lack of motive will ultimately be one of the many things that holds true automation back. A human assistant is able to do task asynchronously from your perspective while you're away and without your input, same applies to AI, AI assistant should understand and be able to reason about your future requirement and perform the action before you ask. Take the cat photo in her presentation as an example, the robot should instinctively catch that glass of milk without any human input, of course you can program it or prompt it or preconfigure it to do such an action, but that hardcoded rule will never truly generalize for every action. AGI will require self motivation, the ability to act on the fly, decide on the fly, perform action on the fly and understand the consequences on the fly, without any human input. Human wants the AI to ask for permission when needed, but not ask for feedback for every single thing they do. Imagine working for your boss and your boss have to manage every single details of the things you do, in that case I think he should fire you. Imagine one day a scenario like this: "Hey, how's my ticket?" : "Booked" "What about the car" : "It'll arrive at 8am tmr morning." "Good, also pack my stuff for me before I'm back" : "Yes, task has already been delegated this morning and is ready, just grab it from the couch when you leave." Now this is "The" automation that will truly mean something and this is just an example there's a whole lot more use cases for different scenarios.

Multimodal models were always going to be a force multiplier on AI

What she calls "spatial intelligence" is the key to many robotic applications including self-driving cars. As humans, each of our eyes sends an electrical signal to the visual cortex where the signals are stitched together and depth perception, object recognition, and spatial awareness are constructed and hallucinated to our conscious in real time. This is such a computationally intensive task that the brain takes many short-cuts and ignores enormous amounts of visual information by focusing on what is important at the time. Object recognition in ai is already very good, but not yet perfect. Depth perception can be circumvented with short-cuts such as LIDAR, sonar, and downloading maps or consulting cameras with different perspectives. Spatial awareness on the surface seems like it should just be coded as a quick reference log. The largest obstacles seems to be prediction and object morphing. People have to predict the future just to move from one place to another. When it comes to object morphing, there are things like mirrors, smoke, pictures on pieces of paper, plastic bags blown by the wind, object conditions like disrepair or custom paint... etc. What a headache. I wonder how much data a robot needs to ignore to be able to operate with spatial intelligence on current hardware?

00:06 The emergence of sight in trilobites revolutionized life underwater 02:09 Advancements in neural networks, GPUs, and big data ushered in the age of modern AI. 03:59 Generative AI algorithms can turn human-prompted sentences into new photos and videos 05:45 Spatial intelligence links perception with action. 07:28 AI transforming images into 3D shapes and spaces 09:28 Spatial intelligence enables machines to interact with humans and 3D worlds. 11:21 AI impact on healthcare with smart sensors and robotics 13:19 Spatial intelligence will power computers and robots like nature did for animals. Crafted by Merlin AI.

🌟 Wow, what a mind-blowing talk! Fei-Fei Li's insights on Spatial Intelligence and AI truly open up a whole new world of possibilities! 🌐🧠 The way she articulates how AI can grasp the complexities of our real world is both fascinating and inspiring. 🤯🤖 Excited to see how this will shape the future!

Wow, W.A.L.T is really good at generating Li FeiFei talks now.

What a great person

Finally, a good TEDTalk. Lfgo

Great talk, "understanding" isn't quite the right word. : )

At least someone is understanding it

I'm completely amazed by that Future! ❤

I want to learn ai under her, she is truly lagend!

Something else I think that will be important for machines and related to seeing is the ability to see using touch. If, for example, I blindfold you and give you a shape, you are able to feel around that shape and create a mental image of what that thing is. If you know your home very well, you are also able to close your eyes and although not easy, are able to slowly walk around and know we're you are because of the image you've create in your mind over time. I understand skin has been done before as have sensors so that a bobot can pick up an egg without breaking it but human skin can tell if something has a sharp or dull point to it, can feel a gentle breeze and so on. Something I think is very important to our understanding of the world around us. Temperature may also be an important sense, but not as we do it at the moment. Yes, we can regulate temperature in machines, but that's based on some numbers held within a machine. We don't do that. We have regulators for temperature on our body/ brain, but it doesn't look up 100oC and determines it needs to adjust body temperature. It knows that it's starting to get hot enough that it poses a risk to the life if cells within our body and so makes adjustments, be it moving away from the heat, using something like water or ice to cool down etc. Perhaps we can invent a more efficient way to regulate temperature for machines in a way that it learns that it's vital to its survival or to avoid parts becoming damaged. Temperature can also give us other important information about the word around us. Then if course there us the ability to hear which now, with A.I, we can take to new levels of understanding. Have some A.I that can take in and understand all that information, learn from it etc and you have a machine with a greater understanding of the world around it and perhaps even something of itself and others who inhabit the world. If you do those as separate systems within the A.I.'s brain, though, you create lag in how it interacts, and so it would need to be an all-encompassing brain, neural network!

The importance of spatial intelligence to our understanding and interacting with the world is a reason why some of our first abstract concepts are part of that. Like "containment", which we've learned an abstract concept for by 6 months. That concept is grounded in watching others and interacting with them ourselves, observing how the objects move and sound when they're manipulated.

My students my students. She speaks like a proud Mom❤️

Prof. Li, please also discuss the risks, inlcuding possible existential risk, while talking about AI advancements. Your voice is very important.

one of the greatest AI scientist mankind will ever witness...

Amazing

Much respect on the nin invasive front.... The outer bodies vibe or persona magnetic field should probably be used as a modulator or anticipatory matrix modulation system in conjunction with the non-invasive scalp unit....idk

Instead of teaching AI how to react in the 3-D world we need to teach humans how to act in the 3-D world

My heart is happy 😊 ❤

thank you Dr. Li for breaking the difficult concept of AI so lay person like me can understand it

Man, I wish everyone had the same wish to pursue a better world.

amazing

Amazing lady and what an impact!!😮

AN AMAZING TALK!!

What an outstanding rate of progress

Light and life ✨🌐✨

just 10 days ago, GPT4 can't even draw a proper rectangle! Now it can finally help my kid with maths

This is what it should all be about: making lives better for everyone on the planet. Just imagine if more of us, myself included, could focus on even the small daily things that we could do to make things easier for everyone else. I would like to express my gratitude for scientists like Fei-Fei Li and what they are doing to make this world a better place.

Beautifully out forward thoughts on spatial intelligence, one of the best talks. More strength to you madam.

Fei-Fei Li is a remarkable scientist!

有预感又是明年T&I课上会用的口译材料 fei姐久违了

Amazing how waveform to collapse algorithms to render prediction analysis to such a high degree of accuracy

Amazing 👏👏👏

The wonders of illumination..

Exciting!!

Anyone know the paper she refers to at 10:37 ?

We never take things for granted we thrive from everything

wow!!! This lady is my mental tutor when I prepared for my postgraduate exam , and also the reason why I chose CS as my major!

A great talk. One point, all the tech giants are working for the same goal one way or other, some may be for profit/product and some for research. It would have been great had she added some comparison with what others are doing and what is the edge they are creating. It may be possible that all doing the same thing exhaustively. Some framework must be devised where all are sharing and aiding each other for common good of humanity.

In one of the previous conversations, Fei-Fei had mentioned that academia has neither quality researchers nor resources to fund projects. If they have developed these advances with sparse resources, imagine what they can do with a corporate funding from the likes of MS, Meta etc.

Well this is nice

wow in less than two year ai evolved so much

Read M. Iain Banks - 'Surface Detail'

Very good presentation and an interesting topic. However always keep a critical mind. I hope everyone also listened to what she didn't say. If you focus on the possibilities it is easy to forget that possibilities are endless depending on who is thinking about using the AI for their purpose.

AI will be so greatful to your team....

You know it's serious, when she starts 500 million years ago

This could be applied to Google Maps to make it into a detailed 3d simulator. Use street view as ground truth and then feed the ai on satellite and normal photos. We don't have photos of every nook and cranny on Earth, but a well trained AI would be damn good at guessing.

Fascinating developments have been made recently. Scary to think how fast its going. Just hope we dont look back on this point with regret...

Watching TED talks for over ten years, and I just now realized I haven't subscribed. wild.

Interesting

You guys are so determined to make this the future of humans. Is this a smart goal? Is anyone even considering that this may be a mistake?

We lack good teachers

This presentation is on another level❤

03:56 My brain got stuck here lol. "from Earth" ???? 🙂🙃

A big stride in human history.

GREAT

So strong accent, it’s good video to practice listening

A.I is mind-blowing and so important for the progress of human being......

What you are doing or working on now is unquestionably amazing! But, where sight came from is an open debate. Sight or nervous systems may have not just simply 'Emerge' and 'Evolved'.

Can we apply spacial intelligence to DNA proteins analysis?

Please also talk about safety of this world Changing technology

Legend

5:13 you said it right the first time, most of the benefactors of AI, would like another being to control and 'doing everything it can for us...'

I love how all these tech-priests always bring up the amazing life-saving and enhancing medical possibilities, when we all now that this technology is going to be used first and foremost in factories and battlefields.

The start of Professor X

Is great artificial intelligence

530 ! Action in 3d space