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FSD is trained on billions of real-world miles, including power outages 📸 Edge Case

FSD is trained on billions of real-world miles, including power outages 📸 Edge Case

2,301,479 次观看

Tap button, press brake And just like that, FSD Supervised takes you wherever you want

Tap button, press brake And just like that, FSD Supervised takes you wherever you want

449,806 次观看

These models will learn from a huge set of extremely diverse data from the Tesla fleet

These models will learn from a huge set of extremely diverse data from the Tesla fleet

196,273 次观看

10. Cut-Out to Static Cone

10. Cut-Out to Static Cone

56,691 次观看

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Real-world AI is about solving for the edge case, not the average case

Real-world AI is about solving for the edge case, not the average case

6,544,871 次观看 • 4 天前

Teslas now drive themselves from their birthplace at the factory to their designated loading dock lanes without human intervention One step closer to large-scale unsupervised FSD

Teslas now drive themselves from their birthplace at the factory to their designated loading dock lanes without human intervention One step closer to large-scale unsupervised FSD

59,982,431 次观看 • 1 年前

FSD Supervised ride-hailing service is live for an early set of employees in Austin & San Francisco Bay Area. We've completed over 1.5k trips & 15k miles of driving. This service helps us develop & validate FSD networks, the mobile app, vehicle allocation, mission control & remote assistance operations

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FSD Supervised ride-hailing service is live for an early set of employees in Austin & San Francisco Bay Area. We've completed over 1.5k trips & 15k miles of driving. This service helps us develop & validate FSD networks, the mobile app, vehicle allocation, mission control & remote assistance operations

29,207,359 次观看 • 1 年前

Giga Texas production now uses FSD Unsupervised to deliver cars from end of line to the outbound logistics lot. Over 50,000 driverless miles have been accrued between California and Texas factories so far

Giga Texas production now uses FSD Unsupervised to deliver cars from end of line to the outbound logistics lot. Over 50,000 driverless miles have been accrued between California and Texas factories so far

6,509,763 次观看 • 1 年前

Tesla is building the foundation models for autonomous robots

Tesla is building the foundation models for autonomous robots

8,190,882 次观看 • 3 年前

Every FSD release is rigorously tested, including rare and adversarial scenarios on closed courses — Here's 16 examples: 1. Reverse Cut-in (Occluded)

Every FSD release is rigorously tested, including rare and adversarial scenarios on closed courses — Here's 16 examples: 1. Reverse Cut-in (Occluded)

2,353,779 次观看 • 1 年前

Starting with the ~1.2 mile route at the Fremont factory

Starting with the ~1.2 mile route at the Fremont factory

2,046,201 次观看 • 1 年前

Cybercab is individualized point-to-point autonomous transport

Cybercab is individualized point-to-point autonomous transport

2,251,581 次观看 • 1 年前

FSD (Supervised) testing in Melbourne, Australia And yes, that’s a hook turn

FSD (Supervised) testing in Melbourne, Australia And yes, that’s a hook turn

1,227,417 次观看 • 1 年前

New Teslas drive themselves off the line at Giga Berlin Autonomously navigating the factory premises, they stop by the on-site Supercharger, then park in the outbound lot

New Teslas drive themselves off the line at Giga Berlin Autonomously navigating the factory premises, they stop by the on-site Supercharger, then park in the outbound lot

845,955 次观看 • 9 个月前

These imagined futures can be action-conditioned to produce different outcomes. For example, the videos below are generated entirely by the neural network by simply using different prompts

These imagined futures can be action-conditioned to produce different outcomes. For example, the videos below are generated entirely by the neural network by simply using different prompts

406,108 次观看 • 3 年前

15. High Speed Stationary Child

15. High Speed Stationary Child

217,687 次观看 • 1 年前

Our multi-modal neural networks are already in customer vehicles—these networks take in arbitrary modalities such as camera videos, maps, navigation, IMU (Inertial Measurement Unit), GPS etc.

Our multi-modal neural networks are already in customer vehicles—these networks take in arbitrary modalities such as camera videos, maps, navigation, IMU (Inertial Measurement Unit), GPS etc.

240,695 次观看 • 3 年前

All of this is enabled by fleet scale auto-labelling. By using video data from multiple trips in the same location, we can reconstruct the entire scene

All of this is enabled by fleet scale auto-labelling. By using video data from multiple trips in the same location, we can reconstruct the entire scene

232,597 次观看 • 3 年前

16. High Speed Crossing Child

16. High Speed Crossing Child

114,108 次观看 • 1 年前

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