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To push self-driving into situations wilder than reality, we built a neural network world simulator that can create entirely synthetic worlds for the Tesla to drive in. Video below is fully generated & not a real video

Tesla

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1,698,515 görüntüleme • 9 ay önce •via X (Twitter)

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This is so cool. Tesla can take footage from its massive vehicle fleet and synthetically create new driving scenarios to test edge cases and improve safety for its self-driving software. Tesla can also stitch footage from all 8 cameras into a fully drivable 3D environment—letting engineers steer, brake, and navigate as if they were on real roads, all powered by neural network–generated video streams. • Can simulate 8 Tesla camera feeds simultaneously — fully synthetic. • Used for testing, training, and reinforcement learning. • Allows adversarial event injection (e.g., adding a pedestrian or vehicle cutting in). • Enables replaying past failures to verify new model improvements. • Can run in near real-time, letting testers “drive” inside a simulated world.

This is so cool. Tesla can take footage from its massive vehicle fleet and synthetically create new driving scenarios to test edge cases and improve safety for its self-driving software. Tesla can also stitch footage from all 8 cameras into a fully drivable 3D environment—letting engineers steer, brake, and navigate as if they were on real roads, all powered by neural network–generated video streams. • Can simulate 8 Tesla camera feeds simultaneously — fully synthetic. • Used for testing, training, and reinforcement learning. • Allows adversarial event injection (e.g., adding a pedestrian or vehicle cutting in). • Enables replaying past failures to verify new model improvements. • Can run in near real-time, letting testers “drive” inside a simulated world.

Sawyer Merritt

591,824 görüntüleme • 9 ay önce

Tesla Full Self-Driving capability demo in Austin FSD capability features use vision neural networks to perceive & understand the world, just like humans do. Via our unique fleet learning approach, we are able to collect anonymized data from our vehicles—meaning the neural nets have learned from a few orders of magnitude more driving scenarios than the average human driver (including unusual & weird ones!)

Tesla Full Self-Driving capability demo in Austin FSD capability features use vision neural networks to perceive & understand the world, just like humans do. Via our unique fleet learning approach, we are able to collect anonymized data from our vehicles—meaning the neural nets have learned from a few orders of magnitude more driving scenarios than the average human driver (including unusual & weird ones!)

Tesla

6,804,722 görüntüleme • 2 yıl önce

NEWS: Nvidia shows how its new “Cosmos” system uses cars to generate synthetic real world driving scenarios to train self-driving cars. It can create drivable 3D environments. Driving scenario variations can be generated from replayed drive logs or AI traffic generators. Next, a neural reconstruction engine uses autonomous vehicle sensor logs to create high fidelity 4D simulation environments. It replays previous drives in 3D and generates scenario variations to amplify training data. Nvidia’s AI data factory scales hundreds of drives into billions of effective miles.

NEWS: Nvidia shows how its new “Cosmos” system uses cars to generate synthetic real world driving scenarios to train self-driving cars. It can create drivable 3D environments. Driving scenario variations can be generated from replayed drive logs or AI traffic generators. Next, a neural reconstruction engine uses autonomous vehicle sensor logs to create high fidelity 4D simulation environments. It replays previous drives in 3D and generates scenario variations to amplify training data. Nvidia’s AI data factory scales hundreds of drives into billions of effective miles.

Sawyer Merritt

918,239 görüntüleme • 1 yıl önce

"The “ChatGPT moment” for physical AI is nearly here. 👏 Cosmos open world foundation models understand reality to create and reason about rich synthetic worlds—so self-driving cars and robots can learn from endlessly varied, physics-aware scenarios. From a single image, 3D scene, or simulator trace, Cosmos generates realistic video, brings edge cases to life, and helps autonomous systems train for the long tail. Watch the #CES2026 demo now 🎥

"The “ChatGPT moment” for physical AI is nearly here. 👏 Cosmos open world foundation models understand reality to create and reason about rich synthetic worlds—so self-driving cars and robots can learn from endlessly varied, physics-aware scenarios. From a single image, 3D scene, or simulator trace, Cosmos generates realistic video, brings edge cases to life, and helps autonomous systems train for the long tail. Watch the #CES2026 demo now 🎥

NVIDIA AI

49,809 görüntüleme • 6 ay önce

Tesla Self-Driving 14.3.4 is designed to work in the real world, not just in ideal conditions.

Tesla Self-Driving 14.3.4 is designed to work in the real world, not just in ideal conditions.

Whole Mars Catalog

26,636 görüntüleme • 1 ay önce

You can also drive around in it like a video game

You can also drive around in it like a video game

Tesla

219,654 görüntüleme • 9 ay önce

We built a real-time multiplayer game generated entirely by a neural network—and now you can actually play it. In collaboration with Modal, we just launched the live demo for MultiGen, our diffusion-based multiplayer game engine. Grab some friends and try it here 👇

We built a real-time multiplayer game generated entirely by a neural network—and now you can actually play it. In collaboration with Modal, we just launched the live demo for MultiGen, our diffusion-based multiplayer game engine. Grab some friends and try it here 👇

Gordon Wetzstein

26,537 görüntüleme • 4 ay önce

AI for robotics has some monumental challenges, like high dimensionality and reasoning with the physical world. Ashok Elluswamy, AI lead at Tesla, thinks the hardest problem is Evaluation. - Loss isn't a perfect indicator of Policy Neural Network's quality. - Testing in the real world for all the long-tail failure cases is not possible. To solve the evaluation challenge, Tesla has developed a World Simulator Model. It is trained on state and action pairs, so for a given current camera feed and current action, the model generates the next frame in the cameras. Once the world simulation is good enough, it can be hooked up to the policy network for a closed-loop simulation. In this setup, the model generates the next video frames, and based on those, the policy network comes up with the next action, which feeds back into the world simulation; this continuous loop creates a coherent simulation. The world simulation neural network is not just applicable to self-driving but also to humanoids, because Tesla trains it on common data. The examples show Optimus navigating or manipulating inside the world simulation, with all the pixels being generated by the world simulation model. The robotic agents can be tested in an accurately reproduced edge case and in other potential variations of the same edge case.

AI for robotics has some monumental challenges, like high dimensionality and reasoning with the physical world. Ashok Elluswamy, AI lead at Tesla, thinks the hardest problem is Evaluation. - Loss isn't a perfect indicator of Policy Neural Network's quality. - Testing in the real world for all the long-tail failure cases is not possible. To solve the evaluation challenge, Tesla has developed a World Simulator Model. It is trained on state and action pairs, so for a given current camera feed and current action, the model generates the next frame in the cameras. Once the world simulation is good enough, it can be hooked up to the policy network for a closed-loop simulation. In this setup, the model generates the next video frames, and based on those, the policy network comes up with the next action, which feeds back into the world simulation; this continuous loop creates a coherent simulation. The world simulation neural network is not just applicable to self-driving but also to humanoids, because Tesla trains it on common data. The examples show Optimus navigating or manipulating inside the world simulation, with all the pixels being generated by the world simulation model. The robotic agents can be tested in an accurately reproduced edge case and in other potential variations of the same edge case.

The Humanoid Hub

17,065 görüntüleme • 5 ay önce

Tesla is making a hugely ambitious leap with their upcoming Tesla FSD beta v12 which will use an end-to-end neural network approach for full self driving. Spoke with jimmah to discuss this game-changing move. (video released first on X and then on YouTube in a few hours)

Tesla is making a hugely ambitious leap with their upcoming Tesla FSD beta v12 which will use an end-to-end neural network approach for full self driving. Spoke with jimmah to discuss this game-changing move. (video released first on X and then on YouTube in a few hours)

Dave Lee

257,762 görüntüleme • 2 yıl önce

Social media as we know it is collapsing. I generated a synthetic person, fed her image into Kling’s new motion control engine, paired it with my reference video, and voila. With a few dollars and a few minutes, anyone can create entirely new synthetic identities or, worse, convincingly impersonate real people. We’re already past the tipping point.

Social media as we know it is collapsing. I generated a synthetic person, fed her image into Kling’s new motion control engine, paired it with my reference video, and voila. With a few dollars and a few minutes, anyone can create entirely new synthetic identities or, worse, convincingly impersonate real people. We’re already past the tipping point.

Emmanuelle Saliba

53,052 görüntüleme • 6 ay önce

Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022

Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022

ELON CLIPS

20,411 görüntüleme • 1 yıl önce

🇺🇸 ELON: OPTIMUS AND SELF-DRIVING COULD CREATE A WORLD WITHOUT POVERTY “We believe with Optimus and self-driving that you can actually create a world where there is no poverty, where everyone has access to the finest medical care. Optimus will be an incredible surgeon, for example, and imagine if everyone had access to an incredible surgeon.” Source: Tesla

🇺🇸 ELON: OPTIMUS AND SELF-DRIVING COULD CREATE A WORLD WITHOUT POVERTY “We believe with Optimus and self-driving that you can actually create a world where there is no poverty, where everyone has access to the finest medical care. Optimus will be an incredible surgeon, for example, and imagine if everyone had access to an incredible surgeon.” Source: Tesla

Mario Nawfal

82,249 görüntüleme • 9 ay önce

Tesla Self-Driving 14.3.2 can drive you from parking garage to parking garage in the rain with zero human intervention. Don't believe me? Here's a video of the Model 3 doing just that.

Tesla Self-Driving 14.3.2 can drive you from parking garage to parking garage in the rain with zero human intervention. Don't believe me? Here's a video of the Model 3 doing just that.

Whole Mars Catalog

40,479 görüntüleme • 3 ay önce

NEWS: Tesla has released a new video teasing their Miami event this weekend. “Every day, petabytes of driving data are processed by Tesla vehicles across North America. All of the following renders are generated using this real-world driving data. This is the world through the eyes of Full Self-Driving.”

NEWS: Tesla has released a new video teasing their Miami event this weekend. “Every day, petabytes of driving data are processed by Tesla vehicles across North America. All of the following renders are generated using this real-world driving data. This is the world through the eyes of Full Self-Driving.”

Sawyer Merritt

142,153 görüntüleme • 8 ay önce

ELON: TO SOLVE FULL SELF-DRIVING, YOU NEED TO SOLVE REAL-WORLD AI "What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision." Source: Elon Musk TED Interview, April 2022

ELON: TO SOLVE FULL SELF-DRIVING, YOU NEED TO SOLVE REAL-WORLD AI "What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision." Source: Elon Musk TED Interview, April 2022

Mario Nawfal

56,936 görüntüleme • 1 yıl önce

Cybertruck Tesla Energy FSD Supervised V12 went to wide release earlier this year We remain convinced that vision-based autonomy with end-to-end neural nets is the right architecture for scalable, profitable autonomy

Cybertruck Tesla Energy FSD Supervised V12 went to wide release earlier this year We remain convinced that vision-based autonomy with end-to-end neural nets is the right architecture for scalable, profitable autonomy

Tesla

146,368 görüntüleme • 2 yıl önce

Announcing the TeslaVision fan video showcase Tesla owners & supporters have always been able to see our products & mission for what they truly are. Your word of mouth has made Tesla what it is today. The OGs will remember that in 2017, we held our first video contest. 8 years and many new products & features later, we’re holding another one. To participate, submit a homemade video showing how your Tesla gives you more in life – more freedom, more safety, more fun, more convenience. Details (& prizes) for your region in link below

Announcing the TeslaVision fan video showcase Tesla owners & supporters have always been able to see our products & mission for what they truly are. Your word of mouth has made Tesla what it is today. The OGs will remember that in 2017, we held our first video contest. 8 years and many new products & features later, we’re holding another one. To participate, submit a homemade video showing how your Tesla gives you more in life – more freedom, more safety, more fun, more convenience. Details (& prizes) for your region in link below

Tesla

1,257,651 görüntüleme • 1 yıl önce

Elon: "In order to make it work with computers, you need to solve real-world AI and vision. We need cameras and silicon neural nets for self-driving to work in a system designed for eyes and biological neural nets." Elon Musk Writer: Claudio

Elon: "In order to make it work with computers, you need to solve real-world AI and vision. We need cameras and silicon neural nets for self-driving to work in a system designed for eyes and biological neural nets." Elon Musk Writer: Claudio

Mario Nawfal

43,586 görüntüleme • 20 saat önce

Watch Tesla self-driving v14.3 try to drive straight into a barrier on the freeway, forcing the driver to swerve to avoid a crash. The public did not sign up to be the crash test dummies in Elon Musk’s reckless self-driving experiment. FSD must be banned immediately.

Watch Tesla self-driving v14.3 try to drive straight into a barrier on the freeway, forcing the driver to swerve to avoid a crash. The public did not sign up to be the crash test dummies in Elon Musk’s reckless self-driving experiment. FSD must be banned immediately.

Dan O'Dowd

20,973 görüntüleme • 14 gün önce