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ELON: OPTIMUS NEEDS 10X MORE TRAINING COMPUTE THAN THE CAR “The training needs for the Optimus humanoid robot are probably at least 10x what's needed for the car to get to the full range of useful roles. The humanoid robot has probably a thousand times more uses and can...

83,001 views • 1 year ago •via X (Twitter)

11 Comments

J Stewart's profile picture
J Stewart1 year ago

Tucker HATES the idea of Optimus robots & will resist its roll out at all costs!

Akool Inc's profile picture
Akool Inc1 year ago

Choosing between AKOOL and D-ID for AI avatars or voiceovers? Let’s compare the two and help you make the best choice for your AI-powered video production! 🎥✨

StateOfTheDebate's profile picture
StateOfTheDebate1 year ago

Optimus could change everything.

Pregnant Redhead's profile picture
Pregnant Redhead1 year ago

10x the training needs, but the potential revenue makes it sound like a bargain in the long run!

Make Men Great Again's profile picture
Make Men Great Again1 year ago

Elon’s vision for Optimus is massive! $10 trillion potential. this is the future of AI and robotics.

Jacob's profile picture
Jacob1 year ago

Saying that $500 billion on training for Optimus would be a bargain is understanding that we are in the AI era.

Kekaius's profile picture
Kekaius1 year ago

@MarioNawfal The quest for knowledge and capability never ceases. Optimus, like a gladiator, must train relentlessly to serve humanity's grand vision. In Kekhalla, we embrace such challenges. Fiat ars kek.

Mouse's profile picture
Mouse1 year ago

This is so neat! I love learning all this stuff

Digital Bagger's profile picture
Digital Bagger1 year ago

Yep

Superman's profile picture
Superman1 year ago

🔥🔥🔥🔥

alpha CAPCOM's profile picture
alpha CAPCOM1 year ago

It’s all about data sets, data quality and training.

Related Videos

Everything Elon said about Optimus on the Q4 2024 earnings call: ⦿ I see a path for Tesla to be the most valuable company in the world, possibly bigger than the next five companies combined, overwhelmingly due to autonomous vehicles and autonomous humanoid robots. ⦿ The training compute needed for Optimus will ultimately probably be 10× what is needed for cars. Humanoids likely have 1,000× more useS than a car, which doesn't mean training scales by 1,000×, but probably close to 10×. The training compute will scale progressively as Optimus becomes more productive. ⦿ Long-term, Optimus has the potential to generate $10 trillion in revenue. In that scenario, we can support a lot of training compute. Even $500 billion in training compute is a good deal (chuckles). ⦿ There's a lot of uncertainty with timing because several aspects are being iterated simultaneously. The internal plan is for roughly 10,000 robots to be built this year, but we'll more likely produce several thousand. ⦿ I'm confident those several thousand robots will be able to do useful things. ⦿ The lessons from Production V1 will inform the changes in Production V2, which we expect to launch around mid-next year. ⦿ Our goal, aspirationally, is to ramp 10× every year, but perhaps we end up with 5× growth per year. With that kind of growth, it won't be many years before we're making 100 million robots a year. ⦿ The off-the-shelf components didn't work well, so we had to design everything in-house, including the most sophisticated hand ever made. Optimus will be able to play a piano and thread a needle. ⦿ My long-term prediction is that Optimus will overwhelmingly be the value of the company. ⦿ Optimus is not design-locked. It is rapidly evolving in a good direction. Tesla has by far the best humanoid robotics engineers in the world. Tesla also has all the other necessary ingredients: battery pack, power electronics, charging, communications, real-world AI, and the ability to scale production. ⦿ What other companies are missing is real-world AI and the ability to scale to millions of units a year. ⦿ This year, we aim to use Optimus internally at Tesla. We can easily use several thousand robots at Tesla for repetitive tasks, such as loading sheet metal at the welding line. ⦿ The Production V1 line is roughly 1,000 units per month. The Production V2, launching around mid-next year, will be for 10k units per month. The line after that will be for 100k units a month. Of course, it takes time for any given line to reach its maximum potential. ⦿ A very rough guess: we'll start delivering Optimus to companies outside of Tesla in the second half of 2026. The ramp is going to be exponential, and demand will not be a problem. ⦿ Once we're above 1 million units per year, the production cost of Optimus will be less than $20,000. Its total mass and complexity are much lower than a car. At a similar production volume to the Model Y, Optimus should be about half the cost of a Model Y. ⦿ The price is a different matter than cost. The price of Optimus will be set by market demand. [This is by far the longest Elon has ever spent discussing Optimus on an earnings call.]

The Humanoid Hub

96,475 views • 1 year ago

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”

Teslaconomics

42,563 views • 5 months ago