Tesla's gives an update on its upcoming more affordable vehicle
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The third-quarter earnings call for Tesla offered intriguing insights into the direction and focus of the company's upcoming next-gen vehicle, dubbed the Model 2 or the $25,000 car.
While drawing on a comparison to Cybertruck's production challenges, Elon Musk declared this vehicle will be more conventional for production with the overarching goal of achieving an unmatched level of manufacturing efficiency.
Functional Beauty: The Aesthetic Vision
The next-gen car is predicted to be the most produced car in Tesla's lineup, with the potential scale and reach of the Model 2, with implications suggesting it could match the combined volume of other Tesla models. The "high-volume, low-cost" will be simpler in design and technological features to achieve a production speed unprecedented in the auto industry. The mention of achieving "units per minute level that is unheard of" paints a picture of Tesla's commitment to scale and affordability.
Breaking away from the enchantment often associated with Tesla vehicles, Musk set the stage for a different kind of vehicle in the Model 2. Described as "utilitarian," this new vehicle won't be about enchanting consumers but serving a functional purpose. Despite this, Musk reassured that the car will still bear Tesla's signature beauty.
The Quest for Affordability
A dominant theme throughout the call was the relentless push towards reducing costs and improving operational efficiencies. Vaibhav Taneja, Tesla's Chief Accounting Officer, pointed out the myriad challenges and variables in managing product margins, especially given the ongoing factory upgrades.
Nevertheless, company representatives remain unwavering in their dedication to cost reductions for 2024, showcasing Tesla's commitment to affordability. As Taneja describes, this "cost attack" strategy involves meticulous examination and improvement of every line item, highlighting Tesla's dedication to affordability at every turn.
Musk equated their cost-reduction strategy to a "Game of Thrones" where even saving pennies mattered. Musk highlighted the importance of such savings, highlighting how even small elements, like unnecessary internal stickers or QR codes, are being scrutinized for their contribution to the vehicle's cost.
Driving down the costs for the Model 2 isn't just about large-scale production adjustments; it's about scrutinizing every tiny detail. Musk illustrated the cost anatomy of a vehicle, emphasizing the challenge of saving even $0.40 on each of the approximately 10,000 parts in a car.
What This Means for Model 2
All these cost-saving strategies are directly tied to Tesla's aspiration to introduce the Model 2 at an unprecedented price point. By focusing on "pennies" and being "ruthless" in their cost-cutting measures, Tesla is gearing up to deliver a vehicle that doesn't just promise efficiency and sustainability but also unparalleled affordability.
The road to the Model 2 is evidently layered with challenges. Still, if there's one takeaway from the earnings call, it's that Tesla is more committed than ever to making the dream of an affordable electric vehicle a reality for the masses.
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Tesla recently showed off a demo of Optimus, its humanoid robot, walking around in moderately challenging terrain—not on a flat surface but on dirt and slopes. These things can be difficult for a humanoid robot, especially during the training cycle.
Most interestingly, Milan Kovac, VP of Engineering for Optimus, clarified what it takes to get Optimus to this stage. Let’s break down what he said.
Optimus is Blind
Optimus is getting seriously good at walking now - it can keep its balance over uneven ground - even while walking blind. Tesla is currently using just the sensors, all powered by a neural net running on the embedded computer.
Essentially, Tesla is building Optimus from the ground up, relying on as much additional data as possible while it trains vision. This is similar to how they train FSD on vehicles, using LiDAR rigs to validate the vision system’s accuracy. While Optimus doesn’t have LiDAR, it relies on all those other sensors on board, many of which will likely become simplified as vision takes over as the primary sensor.
Today, Optimus is walking blind, but it’s able to react almost instantly to changes in the terrain underneath it, even if it falls or slips.
What’s Next?
Next up, Tesla AI will be adding vision to Optimus - helping complete the neural net. Remember, Optimus runs on the same overall AI stack as FSD - in fact, Optimus uses an FSD computer and an offshoot of the FSD stack for vision-based tasks.
Milan mentions they’re planning on adding vision to help the robot plan ahead and improve its walking gait. While the zombie shuffle is iconic and a little bit amusing, getting humanoid robots to walk like humans is actually difficult.
There’s plenty more, too - including better responsiveness to velocity and direction commands and learning to fall and stand back up. Falling while protecting yourself to minimize damage is something natural to humans - but not exactly natural to something like a robot. Training it to do so is essential in keeping the robot, the environment around it, and the people it is interacting with safe.
We’re excited to see what’s coming with Optimus next because it is already getting started in some fashion in Tesla’s factories.
In a relatively surprising move, GM announced that it is realigning its autonomy strategy and prioritizing advanced driver assistance systems (ADAS) over fully autonomous vehicles.
GM is effectively closing Cruise (autonomous) and focusing on its Super Cruise (ADAS) feature. The engineering teams at Cruise will join the GM teams working on Super Cruise, effectively shuttering the fully autonomous vehicle business.
End of Cruise
GM cites that “an increasingly competitive robotaxi market” and “considerable time and resources” are required for scaling the business to a profitable level. Essentially - they’re unable to keep up with competitors at current funding and research levels, putting them further and further behind.
Cruise has been offering driverless rides in several cities, using HD mapping of cities alongside vehicles equipped with a dazzling array of over 40 sensors. That means that each cruise vehicle is essentially a massive investment and does not turn a profit while collecting data to work towards Autonomy.
Cruise has definitely been on the back burner for a while, and a quick glance at their website - since it's still up for now - shows the last time they officially released any sort of major news packet was back in 2019.
Competition is Killer
Their current direct competitor - Waymo, is funded by Google, which maintains a direct interest in ensuring they have a play in the AI and autonomy space.
Interestingly, this news comes just a month after Tesla’s We, Robot event, where they showed off the Cybercab and the Robotaxi network, as well as plans to begin deployment of the network and Unsupervised FSD sometime in 2025. Tesla is already in talks with some cities in California and Texas to launch Robotaxi in 2025.
GM Admits Tesla Has the Right Strategy
As part of the business call following the announcement, GM admitted that Tesla’s end-to-end and Vision-based approach towards autonomy is the right strategy. While they say Cruise started down that path, they’re putting aside their goals towards fully autonomous vehicles for now and focusing on introducing that tech in Super Cruise instead.
NEWS: GM just admitted that @Tesla’s end-to-end approach to autonomy is the right strategy.
“That’s where the industry is pivoting. Cruise had already started making headway down that path. We are moving to a foundation model and end-to-end approach going forward.” pic.twitter.com/ACs5SFKUc3
With GM now focusing on Super Cruise, they’ll put aside autonomy and instead focus solely on ADAS features to relieve driver stress and improve safety. While those are positive goals that will benefit all road users, full autonomy is really the key to removing the massive impact that vehicle accidents have on society today.
In addition, Super Cruise is extremely limited, cannot brake for traffic controls, and doesn’t work in adverse conditions - even rain. It can only function when lane markings are clear, there are no construction zones, and there is a functional web connection.
The final key to the picture is that the vehicle has to be on an HD-mapped and compatible highway - essentially locking Super Cruise to wherever GM has time to spend mapping, rather than being functional anywhere in a general sense, like FSD or Autopilot.
Others Impressed - Licensing FSD
Interestingly, some other manufacturers have also weighed into the demise of Cruise. BMW, in a now-deleted post, said that a demo of Tesla’s FSD is “very impressive.” There’s a distinct chance that BMW and other manufacturers are looking to see what Tesla does next.
BMW chimes in on a now-deleted post. The Internet is forever, BMW!
Not a Tesla App
It seems that FSD has caught their eyes after We, Robot - and that the demonstrations of FSD V13.2 online seem to be the pivot point. At the 2024 Shareholder Meeting earlier in the year, Elon shared the fact that several manufacturers had reached out, looking to understand what was required to license FSD from Tesla.
There is a good chance 2025 will be the year we’ll see announcements of the adoption of FSD by legacy manufacturers - similar to how we saw the surprise announcements of the adoption of the NACS charging standard.