Elon has said various times that Tesla is not a car company, but rather an AI company. Tesla is using AI to solve problems such as auto high beams, auto wipers and of course FSD. Tesla's tango with AI explains its recent move into robotics.
Solving FSD is just the beginning. We're likely to see Tesla enter additional fields that rely heavily on AI. Tesla will be able to take everything they've learned in the world of artificial intelligence and apply it to a completely new product or even a new field, similar to what they're doing with NeuraLink.
Tesla to look into adding AI-based HVAC
Elon has previously talked about how he would love for Tesla to develop air conditioning systems. Elon believes Tesla can make them much more efficient than they are today, but Tesla just doesn't have the resources to enter another field right now. The use of air conditioning around the world currently accounts for 10% of global electricity usage, according to IEA.
Tesla may now be looking to introduce AI to Tesla HVAC systems. Twitter user @coffeetabletsla asked Elon if Tesla could develop a neural network similar to Deep Rain that's used for windshield wipers, but instead use it to improve air conditioning. It could monitor when to turn the AC on/off, when to circulate air versus bringing in fresh outside air and take into account various factors such as current air quality, traffic and dirt roads.
In response, Elon gave his typical “Ok" answer, which has usually meant that Tesla is already working on a similar feature or that Elon is genuinely intrigued by the idea and will have Tesla engineers evaluate its feasibility.
Given Elon's fascination with air conditioning and wanting to reduce the world's energy footprint, this could be Tesla's first entry into the HVAC industry.
This conversation started on Twitter when the official Tesla account tweeted “can we all just agree that pumping out carbon monoxide, carbon dioxide, particulate matter, nitrogen oxide and sulphur dioxide from cars on all the streets around the world is maybe a bad idea".
Elon replied to the Tesla account with “in close traffic, poisonous gas spewing from the car in front of you goes straight into your AC intake." A fair point. We're just hurting ourselves. He then snarkily added that “Good thing gas/diesel carmakers didn't cheat on their emissions or we'd be in real trouble."
Air quality is also something Elon has shown interest in before. In fact, Teslas in China show the Air Quality Index right next to the temperature near the top portion of the car's screen.
In close traffic, poisonous gas spewing from the car in front of you goes straight into your AC intake. Good thing gas/diesel carmakers didn't cheat on their emissions or we'd be in real trouble ?
Teslas currently have an Auto AC button that determines when to activate the air conditioning system, although it's likely to be similar to other manufacturers where it compares the indoor and outdoor temperatures along with the relative humidity of each environment.
By adding AI to air conditioning not only can Tesla reduce its energy usage, resulting in longer range for your Tesla, but it could also give you cleaner air to breathe. Your Tesla can give you fresh air when you're driving alone on the road, and automatically switch to recirculated air when you're close to other cars.
This is just another example of how Tesla is redefining cars and improving the world we live in.
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.