Tesla has a secret 'Elon Mode' that removes nagging
MKBHD/Twitter
Well-known Tesla hacker and a treasure trove of undiscovered Tesla secrets, @GreenTheOnly has once again made waves in the Tesla community. His recent Twitter revelation uncovers a hidden gem in Tesla's Full Self-Driving (FSD) Beta software - a unique feature named 'Elon Mode'.
@GreenTheOnly's tweets give the world a peek into this under-the-radar feature that is yet to see public release. His deep dive into the hidden depths of Tesla's software brings to light an interesting twist to how Tesla's FSD Beta monitors driver attentiveness.
'Elon Mode' - Redefining Driver Monitoring
The driver monitoring system in Tesla vehicles is known for its 'nag' feature. This alerts drivers to maintain their focus on the road and requires them to exert resistance on the steering wheel, signifying their attentiveness. 'Elon Mode' brings a paradigm shift to this system.
In 'Elon Mode', featured above, the car switches from steering wheel 'nags' to a more advanced driver monitoring method. It employs only the internal camera to keep a watchful eye on the driver, ensuring they are not distracted. This is a significant stride towards enabling hands-off driving, a promising prospect for Tesla's global user base.
Green’s Intriguing Experience with 'Elon Mode'
Taking us on a virtual ride spanning nearly 1,000km, Green shares his firsthand experience with 'Elon Mode'. During this journey, Green enjoyed the luxury of a nag-free ride, thanks to Tesla's computer vision-based driver monitoring.
Green observed that the irritating nuisances of the FSD, such as random lane changes and slower driving speed, become less noticeable if he doesn't have to watch the car continually. He even entertained the idea of reading a book or browsing a website, suggesting that the mild, non-human driving choices made during the journey go virtually unnoticed.
He commended the FSD's performance on divided highways and revealed that there's a fair chance the car can navigate between two points without needing any human input. He even ventured that if this technology were offered as Level 3 automation, where the driver doesn't need to pay attention constantly, it would be a "solid deal at $15k" (historical FSD prices).
Despite the benefits, Green also highlights the downside of 'Elon Mode'. Giving the car free rein to make unnecessary lane changes could incite road rage from other drivers. This suggests there's still room for refinement before 'Elon Mode' is ready for public release.
Green's journey in Elon Mode offers a promising glimpse into the future of autonomous driving. While it's not clear when this hidden mode will be publicly accessible, one thing is certain - the future of driving is closer than we think.
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Tesla recently hit the news for purchasing approximately $2M in LiDAR sensors from Luminar, one of Tesla’s long-term suppliers. You’ve probably seen photos of Tesla’s Semi and various Tesla models, including the Model 3 and Model Y sporting LIDAR equipment on the roof. These cars drive around with manufacturer plates scanning streets and highways.
However, many people confuse Tesla’s purpose in purchasing LiDAR equipment with using it for FSD versus testing. So, let’s look at what LiDAR is, and why Tesla uses it on its Fleet Validation Vehicles.
What is LiDAR?
LiDAR stands for Light Detecting and Ranging – essentially using lasers to measure distances. A laser pulse is sent out, and the time it takes to return is measured – providing extremely accurate distance measurements.
Some companies working on self-driving vehicles, including Waymo and BYD, use LiDAR as part of their self-driving suites, but Tesla is one of the few stand-outs that does not. Even Rimac’s “Verne” Robotaxi – which uses self-driving technology from Mobileye, also uses LiDAR.
While LiDAR can produce extremely accurate and high-quality 3D environments, it comes with its downsides as well. Not only is LiDAR costly and requires large gear strapped to a vehicle, but it also can not be used in bad weather and can have interference issues if there are other strong light sources present.
Why Does Tesla Use LiDAR?
A LiDAR rig mounted on a Tesla Semi for testing FSD.
Not a Tesla App
At Autonomy Day in 2019, Elon Musk mentioned that LiDAR isn’t the solution for self-driving cars – it's just a crutch. Thus, Tesla hasn’t used LiDAR for any production self-driving software.
Instead, Tesla uses it exactly how it's described – they use it to gather ground-truth data. This data is then used to feed Tesla’s Full Self Driving system – which helps validate its vision-only system's accuracy. LiDAR provides very accurate measurements to help ensure that FSD’s perception of space is accurate – and is only used by Tesla to ensure that its AI technology which is the brains of FSD is capable of accurately interpreting depth from just visual data.
While sources other than Bloomberg haven't confirmed this report, Bloomberg has a positive track record of reporting on financial decisions. We’ll be sure to update the article if there is confirmation on X from Elon Musk or another Tesla senior official.
Tesla’s stock has dropped nearly 8.5% over the day, ending back-to-back gains over the last two weeks. It closed yesterday at $ 241 after hitting a peak of $270 earlier in the day before the news broke.
Why the Delay?
The delay – of approximately two months – has been communicated internally, but not publicly announced just yet. Bloomberg goes on to mention that the design team was told to rework certain elements of the Cybercab, necessitating the delay.
If Bloomberg’s report is correct, it sounds like Tesla’s unveil event will be largely focused on showing off the vehicle, instead of demoing how it will work. Of course, it could still be both, but given past events, Tesla has always shown off the vehicle years before it hits production.
Rimac recently showed off their version of robotaxi vehicle named Verne, and surprisingly, it could almost pass for Tesla’s own robotaxi. A lot of design cues in Rimac’s version are elements we have already seen or expect to see in Tesla’s autonomous taxi.
A recent Tesla patent revealed that Tesla is incorporating a sanitation system into their robotaxi that will be responsible for analyzing and cleaning the vehicle’s interior, although the delay itself is likely tied more to a physical feature rather than software.
Another element we know almost nothing about is how Tesla plans to charge these robotic taxis. Will they rely on the existing charge port and adapt a solution like the robotic charging arm (video below) we saw almost eight years ago, or will wireless charging or a dock finally become realized?
While the delay for Tesla’s event appears to be related to the vehicle’s design itself and not further development of FSD, Tesla is wasting no time in getting FSD working for the upcoming vehicle. Model 3 vehicles have already been spotted with camera locations that resemble a robotaxi.
Is the Delay Accurate?
We expect that this delay might actually be true – Elon Musk usually takes to X within hours of such news breaking if it's false to refute it and hasn’t done so yet.
Tesla has delayed several of their events in the past, and a delay of a couple of months seems plausible. We should hear from Musk himself soon on whether this report is accurate.
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