The Cybertruck will have a front camera with a washer and a heater
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Tesla's unveiling of the Cybertruck still has the community buzzing as Tesla continues to send out emails for reservation holders to configure their Foundation series Cybertruck. While you wait for that email, Tesla has released some reading material for you to get even more acquainted with the stainless steel beast.
The parts catalog is also available, and it reveals even more surprises. It also details how much future owners should be prepared to dish out if a new part is needed. We reviewed the catalog and read a former Tesla service technician’s takeaways.
Front Bumper Camera (Video)
One of the Cybertruck's most innovative features, highlighted in the parts catalog, is its front camera system. This camera, placed at the center of the front bumper confirms that the front bumper camera will contain a washer to hose down the front lens which is sure to attract some debris.
However, it also confirms a new feature, the existence of a heating element for the front camera.
Cybertruck’s bumper camera washer. 💦
You initiate the washer by tapping an icon in the camera app.
This dual functionality is essential for maintaining visibility and functionality in various weather conditions, especially in colder climates where snow and ice can obscure the lens. The heating element prevents the build-up of frost, while the washer ensures that dirt and debris do not compromise the camera’s view.
The front camera washer is activated manually through the Camera app. When viewing the front bumper camera, there is a small icon in the corner of the video feed that activates the new washing feature.
It’s also likely that Tesla will include this front bumper camera in all future models. A revision to the Model S and Model X will contain the new front camera, and the North American version of the new Model 3 is expected to include one as well.
The Cybertruck also includes hardware 4.0, and like other models we’ve seen, the Cybertruck will only contain two front-facing cameras at the top of the windshield.
Windshield and Wiper Blade: Pricing and Practicality
The Cybertruck's massive windshield, priced at $1,900, has garnered attention for its size and cost. Its replacement, possibly requiring specialized techniques, reflects the vehicle's unique design. The wiper blade, priced at $75, has been humorously noted for its size but is essential for maintaining clear visibility in adverse weather.
Cybertruck Wiper will cost $75
Not a Tesla AppTesla
Shatterproof Windows and Powered Frunk
The Cybertruck's side windows are shatterproof, priced between $200-$260, enhancing the vehicle's safety profile. The powered frunk, another innovative feature, offers added convenience and storage at approximately $2,845. Since the Cybertruck uses two gigacasting, the front and rear fenders will also be individually available. For the rear fenders, this is significantly different than most cars, as the rear fenders are usually built as part of the frame of the vehicle.
Cybertruck Frunk and Panels
@niccruzpatane
All-Terrain Tires and Suspension System
Equipped with 35" All-Terrain A/T tires (Goodyear Wrangler Territory RT), priced at $470 each, the Cybertruck is ready for rugged terrains. This choice in tires underscores the vehicle's off-road capabilities. Although not detailed in terms of cost, the suspension system is expected to match the vehicle's high-performance standards and be adaptable to varying driving conditions.
Rear Drive Unit: Engineering Excellence
A former Tesla employee, Anthony Spina, reviewed the catalog and provided an in-depth part-by-part breakdown. The rear drive unit, especially in the Tri-Motor Cybertruck, showcases Tesla's engineering prowess. Spina's insights reveal a 48-volt oil pump system integral to the vehicle's performance. This pump is vital in power distribution and thermal management, ensuring the motors operate efficiently under various conditions.
Better Phone Key Support
A lot of what makes the parts in the Cybertruck interesting is that they likely lay the groundwork for future Tesla models, much like the Model 3 did for the Model Y and new Model S and X.
It looks like the Cybertruck will now have seven Bluetoooth Low Energy (BLE) sensors around the vehicle, which is more than other models. Using a form of triangulation, this should be better at detecting where the driver’s phone is in relation to the car.
Since the car’s driver profile can be tied to a specific phone through Bluetooth Priority Device, this helps improve various features, including, better unlocking, setting the correct driver profile and connecting Bluetooth audio to the correct device.
SiriusXM Hardware
The Cybertruck is a mix between Tesla’s luxury line of the Model S and X and their economy line of the 3 and Y. While it has an air suspension, a powered frunk and other features not available on the new Model 3, it doesn’t have other features available on the Model S, such as an instrument cluster. It looks like it also won’t have dedicated SiriusXM hardware, which could be disappointment to some future owners. Hopefully Tesla plans on rolling out a streaming version of SiriusXM soon.
Concerns Over Supply Chain and Parts Availability
A looming concern for Cybertruck owners is the availability of replacement parts. Tesla's history of long wait times for parts, coupled with the Cybertruck's unique stainless steel construction, makes the efficiency of the supply chain a critical factor. Ensuring a consistent supply of components will be pivotal for Tesla to meet maintenance and repair demands.
The Tesla Cybertruck, with its array of innovative features, represents a significant evolution in the EV market. The insights derived from users like Spina and others offer a glimpse into a vehicle that is futuristic not only in design but also in functionality. Now, get studying while you wait for the delivery email from Tesla.
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As Tesla pushes the boundaries of autonomous driving with each iterative FSD update, the hardware that powers every vehicle also needs to continue evolving. With FSD V13 already pushing the capabilities of today’s AI4 hardware, Tesla is actively looking to update its FSD hardware.
Korean news outlet MK (Korean) has provided what seems to be a credible glimpse into Tesla’s next hardware iteration, AI5, and what it could be capable of. MK’s report claims that Tesla is preparing for the production of its new AI5 FSD computer with a performance target of 2,000 to 2,500 TOPS (Trillion Operations Per Second). According to the report, Tesla is considering using Samsung and TSMC to manufacture the hardware.
Putting the Compute Power into Perspective
To grasp what exactly that 2,500 TOPS number means, let’s compare it to Nvidia’s recently released gaming GPUs, the RTX 5080 and the RTX 5090 (about $1,500 and $3,000 GPUs, respectively). The 5080 clocks in at 1,800 TOPS, while the 5090 pushes a powerful 3,400 TOPS. Those also come alongside power draws of 360 and 575 watts, respectively.
For a dedicated automotive AI chip to be able to place itself squarely in the middle of those performance numbers is quite a feat, especially given Tesla’s previous hardware. HW3 clocked in at a measly 144 TOPS, while HW4/AI4, the current generation, pulls in at around 500 TOPS, a solid 3- 5x leap over HW3.
During a past earnings call, Elon claimed AI5 could be as much as 10 times more capable than HW4, which would imply an astronomical 5,000 TOPS. The 2,000 to 2,500 TOPS figure from this new report, however, represents a 4- to 5-fold generational jump, which feels more grounded and aligned with recent performance improvements elsewhere.
What is a “TOPS”?
TOPS is essentially a raw measure of processing power for a specific type of math, one related to the math used by neural networks. For an AI like FSD, it's the single most important metric. Think of it like the AI’s IQ - more TOPS means the computer can think faster and process more information, letting it better understand the environment around the vehicle and make smarter decisions.
True Performance or Skewed?
The key to understanding Elon’s claims about the TOPS figures lies in specialization. Tesla’s FSD computer is what is known as an ASIC - an Application-Specific Integrated Circuit. Unlike a general-purpose GPU in a gaming PC, Tesla’s AI hardware is designed from the ground up for one singular purpose: running the specific types of neural networks that FSD relies on.
This focus allows for incredible efficiency and performance in its designated tasks, and Tesla likely measures performance internally against AI inference benchmarks built around FSD.
The rumor that Tesla is tapping both Samsung and TSMC is pretty significant here as well. Tesla has previously sourced its chips from Samsung but likely requires additional capacity from TSMC, the world’s largest chip fabricator. A multi-source structure like this means Tesla is already putting the pieces together to mitigate supply chain risks.
AI Powerhouse
The need for AI5’s immense power isn’t just about running the current version of FSD, but about being able to support future versions of FSD that may require more computing power. Tesla continues to increase the size of thei AI models, which means that they’ll require more memory. One of the challenges in autonomy is that decisions must be made in just fractions of a second so that the vehicle can react accordingly. If output wasn’t required in nearly real-time, the vehicle could analyze video frames for a longer period and come up with better output, but the need for output in a timely fashion makes computing power critical.
Tesla’s executive team has repeatedly mentioned that the path towards fully Unsupervised FSD and Robotaxi lies in massive computational power alongside redundancy. The system will need to run increasingly complex neural networks to handle edge cases with greater reliability and start the march of 9s (improving from 99% to 99.9% to 99.99%, and so on). Layers of redundancy and multiple checks during the decision-making process will also be required for safety, which also requires additional compute.
What About HW3 and AI4?
With all this talk of AI5, the immediate question for every current Tesla owner and short-term buyer is: “What about MY car?”
AI4 is currently Tesla’s gold standard, and what they’re building today’s FSD, including FSD Unsupervised, around. For now, it offers Tesla enough headroom to continue expanding the neural nets and pushing new builds, but eventually, it too will one day need an upgrade.
Tesla has already stated that AI5 and AI6 will progressively improve FSD and become safer, but that doesn’t mean previous vehicles will be upgraded. Vehicles will only be upgraded if they’re not able to run Unsupervised FSD at a rate that’s safer than humans. Newer models will always perform better and at higher safety levels, but that doesn’t mean older hardware won’t be capable of safe driving.
The real story here is HW3. While Tesla’s executives have previously said that Hardware 3 is “Robotaxi Ready,” the practical reality of FSD V12.6 and V13.2 has set in for many. With FSD V13 pushing the envelope today, and Tesla’s intent to upgrade HW3 vehicles if they can’t figure out a solution, it seems the end of the line is coming.
For owners of HW3 vehicles, this likely means Tesla is planning a retrofit based around AI5 - likely a lower-performance version that will fit the current HW3 power and cooling packages. There could be a similar solution in the future for AI4 vehicles if Tesla plans to address the other half of the fleet, but that’s likely years away and only if they’re not able to achieve autonomy on that hardware.
The neural nets required for FSD to drive itself without supervision in complex urban environments will be orders of magnitude more complex than what we see today in just a few years. AI5 isn't just an upgrade; it's the necessary hardware to advance FSD to the next level.
In the race to deploy autonomous vehicles, there have been two schools of thought. One is led by sensor fusion, which means the more sensors and the more types, the better. The other is Tesla’s school of thought — vision.
So far, even Google’s CEO, Sundar Pichai, has described Tesla as the leader in the autonomy sector.
Google CEO on who is the leader in self-driving space: "I think obviously @Tesla is a leader in the space. It looks to me like Tesla and Waymo are the top two." pic.twitter.com/T0hlSICm8V
A new analysis from Bloomberg (paywall) offers a similar perspective, focusing on the numbers and real-world safety metrics. Tesla’s strategy isn’t just viable - it is far outpacing its competitors.
A Tale of Crash Rates
The most striking numbers from Bloomberg’s analysis are safety-related. According to their comparison, FSD reports approximately 0.15 crashes per million miles driven. In contrast, Waymo reported approximately 1.16 crashes per million miles.
That means that a Tesla using FSD is seven times less likely to be involved in a crash than a Waymo vehicle, even with its bevy of sensors. This is in line with Tesla’s latest vehicle safety report, which notes that a Tesla using FSD is 10 times less likely to be involved in an accident than a driver in any other vehicle.
Crash rates compared
Bloomberg
When it comes down to it, sensor fusion, while it can be fantastic, it simply provides too much data to process and analyze. While LiDAR, radar and cameras all have their unique advantages, cameras end up being the most versatile. Our roads and world were created around vision and audio, so a LiDAR-only vehicle can’t navigate our roadways since it would be unable to see signs or any other object that lacks depth. For LiDAR to be useful, it needs to be coupled with vision.
Vision works well because it applies to all situations, and it’s a system that continues to improve thanks to advancements in image processing and AI. While measurements with vision still lag behind LiDAR, they’ve reached a point where they’d “good enough,” and the millimeter-level accuracy of LiDAR isn’t needed.
When radar and vision disagree, which one do you believe? Vision has much more precision, so better to double down on vision than do sensor fusion.
Besides the difficulty of using sensor fusion, Bloomberg also points out that Tesla’s advantage is in the fundamental cost of the hardware. The Model Y costs just 1/7th of the total cost of a Waymo vehicle.
This enormous cost difference is a direct result of how Tesla and Waymo are approaching autonomy. Waymo’s vehicles are high-end, third-party electric cars, like the now-discontinued Jaguar I-Pace, which are then retrofitted with an expensive, custom-built suite of sensors. This sensor suite includes multiple LIDAR units, radars, and cameras.
Tesla’s ability to scale autonomous driving faster than its rivals gives it an edge in the self-driving race, says Bloomberg Intelligence's Steve Man https://t.co/B1x5Jhx6Lfpic.twitter.com/XYPCblWmXn
Tesla, meanwhile, includes all the hardware for autonomy as standard equipment on each of their vehicles, with a relatively inexpensive suite of cameras and its own in-house designed FSD computer. Using affordable hardware means it’s easy to produce and field more vehicles, resulting in more data.
On top of that, building more vehicles at a lower price creates a larger and larger economic difference as time goes on, as Tesla’s Robotaxis become profitable far quicker than Waymo’s.
3 Billion Miles… and Counting
The biggest advantage that Tesla has over any other entrant into the autonomy ring is simply just data. Tesla’s fleet has gathered over 3 billion miles of driving data globally, whereas Waymo’s fleet is just a minuscule 22 million miles.
Putting that into perspective, for every mile driven by a Waymo vehicle, a Tesla has driven over 135. Tesla’s advantage is also the fact that its data is global. It includes vehicles operating in a range of environments, from deserts to the Arctic, from cities to extremely rural areas, and is capable of achieving generalized autonomy.
Waymo’s data is extremely focused on urban and suburban areas and is effectively unusable for generalized vehicle autonomy. A larger, more capable fleet is the key to providing an effective robotaxi service, after all.
Scaling Manufacturing
Finally, Waymo doesn't produce vehicles. Tesla produces Robotaxis from scratch - every vehicle off the line has the ability to run Unsupervised FSD, and eventually join the Robotaxi fleet. Waymo needs to partner with other companies that have a good platform, and they must adapt their technology to that platform.
Waymo’s fleet is expected to be 2,500 vehicles by the end of 2025, while Bloomberg expects Tesla’s functional fleet to hit 35,000 by the same time. That’s not even counting the millions of AI4-powered vehicles that could also join the fleet by late 2026.
Overall, Tesla is a clear winner in the Robotaxi race - and it isn’t just because of one element. They’re winning through data, cost, and scalability, and the gap will only continue to grow.
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