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Language models process data as one-dimensional sequences of tokens — ideal for text, but limited for understanding the physical world. In contrast, spatial intelligence embraces a 3D representation, unlocking a deeper understanding of space and time. More from martin_casado's interview with Fei-Fei Li and Justin Johnson:

a16z

986,761 subscribers

64,662 просмотров • 1 год назад •via X (Twitter)

Наука и технологии Образование Юмор

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля a16z

a16z1 год назад

Watch the full interview with @drfeifei and @jcjohnss:

Фото профиля Juan

Juan1 год назад

@martin_casado How would those 3D representations be interpreted/computed if not through tokenization?

Фото профиля Maincard

Maincard1 год назад

@martin_casado From 1D to 3D: unlocking a new dimension of intelligence!

Фото профиля Artemis Frost 🕯️

Artemis Frost 🕯️1 год назад

@martin_casado Tell em! 🔥 Fei-Fei for the spatial intelligence W

Фото профиля Ʌanta-NT

Ʌanta-NT1 год назад

@martin_casado Big brain

Фото профиля #HEX #Whale #SFamisland Blessed.TRX🍌

#HEX #Whale #SFamisland Blessed.TRX🍌1 год назад

@martin_casado Ài

Фото профиля JB Benjamin

JB Benjamin1 год назад

@martin_casado #SpatialID by #DjinnTechnologies.....shhh

Фото профиля Dad OF Memecoins

Dad OF Memecoins1 год назад

@martin_casado Your investment in blocksense is going to be pure waste of money because those people don't even know how to build a good community. Their telegram is filled with trozan attackers and bots . THEY HAVE HIRED SOME TURKISH GUY FOR MARKETING WHO USED TO WORK AS MODERATOR. . Good luk

Фото профиля TapTip AI

TapTip AI1 год назад

@martin_casado A very new AI hardware, focusing on AI memory

Фото профиля Andre Carothers

Andre Carothers1 год назад

@martin_casado Imagine anyone in Silicon Valley supporting this guy.

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Dr. Fei-Fei Li just called out the biggest blind spot in the entire AI industry. We have been building half of human intelligence. And calling it the finish line. Li: “If you look at human intelligence, it pretty much boils down to two buckets.” The first bucket is language. Symbolic reasoning. Communication. The ability to think in words and abstractions. That’s what every major AI lab has spent the last decade building. The second bucket is the one the industry has almost entirely ignored. Li: “We call that in AI spatial intelligence.” How humans and animals perceive, navigate, and interact with the three-dimensional physical world. How we reach for objects. How we move through space. How we build and manipulate physical reality. From painting masterpieces to constructing the pyramids, non-verbal spatial intelligence is what actually shapes the world. Language describes reality. Spatial intelligence acts on it. And the gap between those two things is the gap between a chatbot and a robot. Li: “When this technology is ready, the robotic revolution is gonna start. We’re already seeing that trend.” Every robot is a moving agent. Every moving agent requires spatial intelligence to function in the real world. The humanoid robots being deployed in factories right now are hitting the ceiling of what language models alone can power. Spatial intelligence is the unlock. But Li didn’t stop at robotics. Li: “From a geopolitics point of view, this is part of the technology that goes straight into weapons.” Autonomous drone swarms. Battlefield navigation. Physical target acquisition without human oversight. Every military application of AI that operates in the real world runs on spatial intelligence. The nation that masters the transition from static text to dynamic three-dimensional perception doesn’t just win the software race. It commands the physical battlefield. The AI arms race just broke out of the data center. It’s operating in three dimensions now.

Dr. Fei-Fei Li just called out the biggest blind spot in the entire AI industry. We have been building half of human intelligence. And calling it the finish line. Li: “If you look at human intelligence, it pretty much boils down to two buckets.” The first bucket is language. Symbolic reasoning. Communication. The ability to think in words and abstractions. That’s what every major AI lab has spent the last decade building. The second bucket is the one the industry has almost entirely ignored. Li: “We call that in AI spatial intelligence.” How humans and animals perceive, navigate, and interact with the three-dimensional physical world. How we reach for objects. How we move through space. How we build and manipulate physical reality. From painting masterpieces to constructing the pyramids, non-verbal spatial intelligence is what actually shapes the world. Language describes reality. Spatial intelligence acts on it. And the gap between those two things is the gap between a chatbot and a robot. Li: “When this technology is ready, the robotic revolution is gonna start. We’re already seeing that trend.” Every robot is a moving agent. Every moving agent requires spatial intelligence to function in the real world. The humanoid robots being deployed in factories right now are hitting the ceiling of what language models alone can power. Spatial intelligence is the unlock. But Li didn’t stop at robotics. Li: “From a geopolitics point of view, this is part of the technology that goes straight into weapons.” Autonomous drone swarms. Battlefield navigation. Physical target acquisition without human oversight. Every military application of AI that operates in the real world runs on spatial intelligence. The nation that masters the transition from static text to dynamic three-dimensional perception doesn’t just win the software race. It commands the physical battlefield. The AI arms race just broke out of the data center. It’s operating in three dimensions now.

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