Elon Musk started Tesla's AI Day 2022 by saying, "I want to set some expectations with respect to our Optimus Robot," just before the doors opened behind him. A robot walked out, waved at the audience, and did a little dance. Admittedly a humble beginning, he explained, "the Robot can actually do a lot more than what we just showed you. We just didn't want it to fall on its face." Musk's vision for the Tesla Robot, "Optimus is going to be incredible in five years, ten years mind-blowing." The CEO said other technologies that have changed the world have plateaued; the Robot is just starting.
Tesla's CEO envisions Optimus eventually being like Commander Data, the android from Star Trek the Next Generation, except it "would be programmed to be less robot-like and more friendly." Undoubtedly there is a long way to go to achieve what Doctor Noonien Soong created in Star Trek TNG. What was demonstrated onstage wasn't at that level, but several videos throughout the presentation highlighted what the Robot is capable of at its very early stage in development. The audience watched the Robot pick up boxes, deliver packages, water plants and work at a station at the Tesla factory in Fremont.
Development over 8 Months
The breakdown of some of the systems of the Tesla Robot
Tesla (Edited by Not a Tesla App)
The first Robot to take the stage at AI Day was not Optimus, but Bumble C, another acknowledgement to The Transformers, as Bumble Bee played a significant role in that franchise. However, Bumble C is far less advanced than Optimus, who did appear later but was on a cart.
Several Tesla engineers took turns on the microphone describing some of the most complex elements of the project that was first announced one year ago. Perhaps the best description of the project was the company moving from building a robot on wheels to a robot on legs. However, that may be oversimplifying. For example, the car has two motors, and the Robot has 28 actuators.
Overall Design and Battery Life
Tesla's brightest demonstrated how the production has come to life over the past eight months. It seems this group of computer masterminds had to become anatomist experts as Tesla took hints from the human body to create a humanoid robot. That is an essential factor in creating Optimus. Everything people interact with is made usable by a human, with two legs, two arms, ten fingers etc. If the Robot differed from what the world is already designed for, everything would have to change. However, recreating the human body and its countless movements would take far too long, so Tesla has stripped it down to less than 30 core movements, not including the hand.
Like the human torso contains the heart, the Robot's chest holds the battery. It's projected that a single charge would provide enough for a full day's work with a 2.3-kilowatt-hour battery. All the battery electronics are integrated into a single printed circuit board within the pack. That technology keeps charge management and power distribution all in one place. Tesla used lessons learned from vehicle and energy production to create the battery allowing for streamlined manufacturing and simple and effective cooling methods.
Autopilot Technology
Tesla showed what the Robot sees, and it looked very familiar. That's because the neural networks are pulling directly from Autopilot. Training data had to be collected to show indoor settings and other products not used with the car. Engineers have trained neural networks to identify high-frequency features and key points within the Robot's camera streams, such as a charging station. Tesla has also been using the Autopilot simulator but has integrated it for use with the Robot programming.
Tesla shows off what the Optimus robot sees
Tesla (Edited by Not a Tesla App)
The torso also contains the centralized computer that Tesla says will do everything a human brain does, such as processing vision data, making split-second decisions based on multi-sensory inputs and supporting communications. In addition, the Robot is equipped with wireless connectivity and audio support. Yes, the Robot is going to have conversations, "we really want to have fun, be utilitarian and also be a friend and hang out with you," said Musk.
Motors Mimic Joints
The 28 actuators throughout the Robot's frame are placed where many joints are in the human body. Just one of those actuators was shown lifting a half-tonne nine-foot concert grand piano. There have been thousands of test models run to show how each motor works with the other and how to effectively operate the most relevant actuators for a task. Even the act of walking takes several calculations that the Robot must make in real-time, not only to perform but also appear natural. The robots will be programmed with a locomotion code; the desired path goes to the locomotion planner, which uses trajectories to state estimations, very similar to the human vestibular system.
Human hands can move 300 degrees per second and have tens of thousands of tactile sensors. Hands can manipulate anything in our daily lives, from bulky, heavy items to something delicate. Now Tesla is recreating that with Optimus. Six actuators and 11 degrees of freedom are incorporated into the robot hand. It has an in-hand controller that drives the fingers and receives sensory feedback. The fingers have metallic tendons to allow for flexibility and strength. The hands are being created to allow for a precision grip of small parts and tools.
Responsible Robot Safety
Musk wanted to start AI day with the epic opening scene from Terminator when a robot crushed a skull. He has heard the fears and people warning, "don't go down the terminator path," but the CEO said safety is a top priority. There are safeguards in place, including designs for a localized control ROM that would not be connected to the internet that can turn the Robot off. He sees this as a stop button or remote control.
Optimus Price
Musk said the development of Optimus may broaden Tesla's mission statement to include "making the future awesome." He believes the potential is not recognized by most, and it "really boggles the mind." Musk said, "this means a future of abundance. There is no poverty. You can have whatever you want in terms of products and services. It really is a fundamental transformation of civilization as we know it." All of this at a price predicted to be less than $20,000 USD.
Tesla Shows Off its First Robot at AI Day 2
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Ganesh Venkataramanan, Tesla’s project lead for its ambitious Dojo supercomputer project for the past five years, has left the company. Bloomberg reported this development, stating that the news was confirmed by sources familiar with the matter. Peter Bannon, a former executive at Apple Inc. and a director at Tesla for the last seven years, has now taken the helm of the project.
Venkataramanan's departure from Tesla last month is now stirring conversations about the potential impacts on Tesla's future initiatives. His contributions to the Dojo project have been pivotal, especially in designing the custom D1 chip that powers the supercomputer. Venkataramanan, with his extensive experience, including a significant tenure at Advanced Micro Devices Inc. (AMD), was a crucial asset in setting up Tesla’s AI hardware and silicon teams in 2016.
Dojo: A Cornerstone for Tesla’s Self-Driving Aspirations
The Dojo supercomputer is a critical element of Tesla's strategy to enhance its self-driving capabilities. Designed to train machine learning models integral to Tesla's autonomous systems, Dojo processes vast amounts of data captured by Tesla vehicles. This rapid data processing is essential for improving the company’s algorithms, with analysts suggesting that Dojo could be a significant competitive advantage for Tesla. In a recent estimation by Morgan Stanley, the project could potentially add $500 billion to Tesla’s value.
Elon Musk has been vocal about the company's commitment to the Dojo project, planning an investment exceeding $1 billion by the end of 2024. The project's importance was underscored in Tesla's decision to shift from relying on Nvidia Corp.’s supercomputers to developing Dojo, poised to rival systems from Hewlett Packard Enterprise Co. and IBM.
Looking Ahead: Impact and Future Prospects
The recent leadership changes raise questions about the future direction of the Dojo project. Venkataramanan's exit, coupled with the departure of another critical artificial intelligence player from Tesla last year, Andrej Karpathy, signals a transition period for the company’s AI and self-driving teams.
However, Tesla's robust talent pool, blending experienced and emerging professionals, offers a silver lining. Bannon's promotion to lead the Dojo project is seen as a strategic move, leveraging his experience and insights gained from his tenure at Apple. Moreover, the recent installation of Dojo hardware in Palo Alto, California, marks a step forward in centralizing and enhancing the project’s capabilities.
Tesla’s ambitions for Dojo extend to making it one of the world’s top supercomputers. The company envisions reaching a computational capability of 100 exaflops* by October 2024, a testament to its commitment to advancing artificial intelligence and self-driving technology.
* Confused about "exaflops?" "Flops" stands for Floating Point Operations Per Second. It's a way to measure how fast a computer can process data. "Exa" means a billion billion, or 1, followed by 18 zeros (1,000,000,000,000,000,000). So, when we say a computer can perform 100 exaflops, it can do 100 billion billion calculations per second. That's incredibly fast!
Tesla is adding a new 'High Fidelity Park Assist' feature in this year's Holiday Update
Tesla
Following initial reactions to Tesla's 2023 Holiday Update, Elon Musk acknowledged the need for improvement, stating, "We need to step up our game." His post on X was followed by Tesla shedding more light on the Holiday Update than what was in the initial leak.
Call me old, but I remember a time when you bought a car, and that was it; the dealer and manufacturer didn’t give you anything else. So is the Tesla community acting a little bit spoiled here? Absolutely. But it also shows how high Tesla has set the bar with its previous Holiday Updates.
Initial Release and Feedback
The initial release of the 2023 Holiday Update, version 2023.44.25, received mixed reactions from the Tesla community, with some owners expressing disappointment over the lack of groundbreaking new features. But the newly announced features may serve as better stocking stuffers.
The initial rollout included something owners have been asking for, the blind spot monitor. The camera that turns on when you change lanes will now have a red color added if there is something in your blind spot. It’s not clear whether it will be accompanied by a tone.
Tesla’s blind spot warning in this year’s holiday update
Here are other features in the leaked update that are being tested by employees:
Navigation and Safety Features: Including symbols for speed cameras, stop signs, and traffic lights in navigation, and the automatic 911 call feature in case of an accident.
Trip Planning via Tesla Mobile App: Allowing for more detailed trip planning, including multiple stops and charging points.
Apple Podcasts Integration: Allowing users to sync with Apple devices for a seamless podcast experience, directly addressing the demand for a richer in-car entertainment system.
New Games and Enhancements: The update brought updates to Tesla Arcade, with Beach Buggy Racing and Polytopia Diplomacy updates, as well as the Vampire Survivors Chilling update.
Light Show Improvements: There’s a new light show that’s included with your vehicle. You’ll also be able to upload several light shows on a single USB drive and pick one from the vehicle, instead of having to use multiple USB drives, one for each light show.
More Live Sentry Mode Cameras: You will now be able to view the B-pillar cameras directly from the Tesla app. This brings the number of viewable cameras in the app up to seven. The only ones still missing are the alternative front-facing cameras that are telephoto and wide-angle, which wouldn’t bring much additional value. Although the B-pillars are viewable in the app with this update, they will still not be used to record during Dashcam or Sentry Mode events.
High-Fidelity Park Assist
Tesla's new parking assist feature will dynamically recreate scenes in real-time
Tesla
In response to the feedback and Musk's statement, Tesla unveiled additional features in its updated holiday update, including an improved park assist with enhanced visualizations.
This feature provides a 3D reconstruction of the vehicle's surroundings while parking, akin to a 360-degree camera system found in other high-end vehicles. The system is clearly leveraging improvements to Tesla Vision to create the surrounding environment, such as cars, pillars and walls.
This feature also appears to change the color of objects depending on how close they are to your vehicle. In the image we can see the pillars are orange, but if we look closer, the object behind the vehicle is also orange near the bottom. The sides of the vehicles next to the Tesla also have a slight hint of orange, indicating their proximity.
However, it looks like this feature may be even better than it initially looks. The vehicles in the image aren’t just predefined 3D models that Tesla created, like the ones used in Autopilot visualizations. These models appear to be dynamically created using vision, so that no two cars would look alike, much more similar to what LiDar is able to achieve. The visualization provides a true representation of the environment around the vehicle. You can see that each vehicle is made up from layers and have blurred edges toward the rear, where the camera would have a hard time seeing.
These 3D models could be a sneak peek at the future of FSD visualizations.
High-Fidelity Park Assist Requirements
A big question on everyone’s mind is who will receive this new park assist feature. Tesla didn’t address this in their post on X besides providing a disclaimer that the features in the holiday release are subject to model and region availability. Tesla often likes to test features in select markets before making them available everywhere. It’s hard to say whether that will be the case here. There likely aren’t any legal ramifications around providing visualizations, so that’s a good sign that this feature will be available in most regions, either in the holiday update, or soon afterward.
However, there are still questions around which models or hardware will be required. From the image shared, we can see it’s offered on a Model Y, removing any speculation of it possibly requiring the HD radar in the new Model S/X. We also don’t think it will require FSD hardware 4.0, so the remaining questions are whether it requires MCU 3, or the FSD package.
Given that Tesla is calling this Park Assist, it doesn’t appear to be linked to Auto Park, which is a FSD package feature. When Tesla rolled out visual and audio alerts for vehicles without ultrasonic sensors, it called the feature Park Assist, and that was available to all owners.
Whether this improved Park Assist feature requires a vehicle with MCU 3 will depend on the level of processing power required. It’ll certainly require more than the current visualizations given that its building the scene in real-time, so we’re hopeful that it’ll work on MCU 2 vehicles too, but we just don’t have enough information right now to make the call.
Custom Lock Sounds
Soon you'll be able to choose a custom locking sound for your car
Not a Tesla App
Tesla also announced a fun and whimsical feature that allows owners to customize the lock sound of their Tesla. No longer will you need to listen to the car’s horn when it locks as you walk away. Now you’ll be able to customize the lock sound of the vehicle. Tesla is including several options, including sounds like a screaming goat, a jingle, a rubber ducky, a quack sound, an old school horn and applause. However, you’ll also be able to upload your own file to create a truly unique experience.
You can pick anything, from a bird’s tweet to a favorite video game sound. You’ll only be limited by the maximum upload file size, which according to a Tesla engineer, is a 1MB file in WAV format, which is roughly about 40 seconds at good quality.
This feature is possible due to the vehicle’s external pedestrian warning speaker. So if you have Tesla’s Boombox feature or your vehicle makes a sound when traveling under 20 MPH, then you should receive this fun enhancement.
Rear Seat Audio and Gaming
You'll now be able to play games on Tesla's rear screens
Tesla
Enhancing the Tesla Arcade experience, passengers in the rear seats can now play games on the rear touchscreen. This feature, especially when paired with Tesla Arcade’s compatibility with PS4, PS5, Xbox Controllers, and rear-screen Bluetooth Headsets, is a welcome addition for families and long trips.
Much like the new Model 3, which received rear audio over Bluetooth support in the 2023.38 update, the new Model S and Model X will also receive this ability in the holiday update.
New Game - Castle Doombad
Tesla announced one other feature in the 2023 holiday update that hadn’t been previously leaked, and that’s a new game called Castle Doombad. Castle Doombad is a single player tower defense, puzzle-like game that’s currently available on iOS and Android, but has an upcoming release on PC and the Nintendo Switch. This game is expected to require MCU 3.
Release Timeline
The rollout of the 2023 Holiday Update is expected to follow a similar timeline to last year. Tesla announced that the update will roll out starting next week. However, it’s not clear whether this will also include FSD Beta testers that are on a 2023.27 update.
Like a spoiled child on Christmas morning, Tesla owners still ask, “Is that it?” Well… possibly, but there may be more to look forward to early next year as Tesla builds off of the new High-Fidelity Park Assist feature.
Advanced Smart Summon: Upgrading the Smart Summon feature to be more intuitive and efficient, especially in complex parking scenarios.
Reverse Summon / Park Seek: What happened to Tesla dropping its passengers and driver off at the location and then finding a parking spot on its own?
Enhanced FSD Visualizations: Expanding the Full Self-Driving visualizations to more regions or models or completely recreating the FSD visualizations using the same neural networks Tesla is using for the High-Fidelity Park Assist feature.
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