Would Tesla consider creating their own AI-controlled traffic lights? There was an interesting exchange on Twitter about traffic lights that appeared to catch Elon Musk's interest.
The conversation circled around traffic lights and the amount of time and energy that is spent waiting at red lights when there is no traffic.
The traffic light was invented just as the popularity of cars started taking off in the early 1900s. The traffic light itself was first used in 1914, while vehicles became popular in the 1920s.
While there have been numerous improvements to traffic lights, they've been relatively small considering it's been more than a century since their introduction. We've seen improvements such as adding a yellow light to warn drivers of an upcoming red light, using LEDs for better visibility, adding different light combinations, and even using different light patterns based on the time of day.
However, we have the technology today to make traffic lights as we know them a thing of the past.
While traffic lights may seem like an odd business for Tesla to get into, it actually fits their mission and capabilities quite well.
Tesla would use cameras to build an AI system that would predict traffic patterns to reduce time spent and emissions produced at traffic lights.
"Maybe Tesla should make an AI vision device that plugs into these legacy traffic lights. It could just look at traffic & automatically maximize throughput."
-Elon Musk
They could even reduce accidents by figuring out the ideal time to wait before flipping the opposite traffic light green.
By Tesla using its core competencies to develop traffic lights it could further accelerate its mission of easing traffic and reducing vehicle emissions. It's a similar reason why they're developing robots.
AI we could practically eliminate waiting at a red light when there's no traffic in sight. It would also vastly speed up most intersections. Time is our most valuable asset, but we spend hours a year stopped at red lights. Just staring and waiting.
Well, apparently Elon Musk strongly agrees with us. When a Twitter user complained that it's mind-boggling the amount of time we collectively spend waiting at empty intersections, Elon replied with a simple "100%."
Elon then replied to another Twitter user expressing his interest that maybe Tesla should get into the traffic light business. Elon talked about the possibility of developing an add-on device for traffic lights. The device would use vision AI to turn legacy traffic lights into AI powerhouses that would maximize traffic throughput.
Here's hoping that this random tweet sparks other conversations at Tesla this morning. Making traffic lights smarter helps ease traffic and fits their competencies and mission perfectly.
I think when Tesla takes a closer look, they'll realize that they can do more than just maximize throughput and reduce waiting, but that they'll also be able to reduce accidents and frustrations that could come with dealing with traffic.
Tesla could eventually develop their own traffic light that would fix even more problems.
If Tesla developed an LED panel-based traffic light, they could even create dynamic traffic lights that would automatically use traffic arrows only when needed, and automatically and continuously adjust the types of traffic signals used based on traffic conditions over time.
An always-connected traffic light could also open up the way to city-controlled traffic lights that could prevent accidents in police chases or save lives by turning lights green for ambulances.
The possibilities are near endless and we could one day look back at those lonesome times when we used to stare up a red light waiting and hoping for it to finally be our turn.
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Tesla recently introduced Buy Now, Pay Later (BNPL) payment options in the United States and Canada for items in the Tesla Shop, letting owners pay later for new vehicle accessories.
However, with Tesla app update 4.46, they’re expanding support to a much more critical area — Tesla Service. Qualifying owners in the U.S. and Canada will now be able to use Pay Later options for service performed by Tesla, which includes maintenance or repairs.
Services are provided by Affirm and Klarna, as per Mark Fonte, a Senior Software Engineer working on the Tesla app.
The new feature is seamlessly integrated into the existing service workflow within the Tesla app.
On the Service Estimate, before work on the vehicle begins, you will see a new message on the estimate screen: Pay over time - see if you qualify.
Tapping this link opens the payment calculator, which allows you to view potential payment structures and monthly costs. This provides a clear picture of what a payment plan would look like before you commit to servicing your vehicle.
Additionally, after service is complete and you are ready to pay, the final payment screen will present Affirm and Klarna (region-dependent) as selectable payment methods, alongside the usual options of Tesla Credit or your primary payment card.
Tapping Affirm or Klarna here will reopen the payment calculator, and a confirmation prompt will appear before selecting either BNPL option.
Service Now, Pay Later
Overall, the integration of BNPL providers for service is a thoughtful one for vehicle owners. The terms can vary widely, so it’s important to compare them to other payment options you may have access to. The additional financial flexibility, when faced with a large repair bill, allows more owners to get their vehicle professionally and properly serviced by Tesla.
For those getting larger work done, such as high-voltage battery pack replacements, this is an excellent option to spread payments over a longer period, helping reduce the burden of vehicle repair.
With the launch of Tesla’s Robotaxi Network, we didn't just get a peek into the future of transportation—we got a detailed look at the next version of FSD.
Videos from early access riders revealed some additional capabilities over current public FSD builds, showing off how it handles emergency vehicles and more.
Safety First for First Responders
One of the biggest changes in FSD’s capabilities is its improved handling of emergency vehicles. During a ride in Austin, Robotaxi is seen identifying an approaching ambulance using a combination of visual and audio data, activating its turn signal, and smoothly pulling over to the side of the road to let the ambulance by (video below).
This is a driving task that requires more than simple awareness of laws. It requires reasoning skills to determine where to move the vehicle to create a safe path, as well as the ability to quickly identify an ambulance or another emergency service vehicle with its sirens and lights activated. Understanding the context and executing a safe and predictable maneuver is crucial, as a wrong maneuver could actually make matters worse.
For FSD and Robotaxi to gain both public trust and regulatory approval, this skill is non-negotiable, and Tesla demonstrated its advancements right here. It’s not surprising Tesla added this ability before Robotaxis made it to public roads.
How does a fleet of Robotaxis keep its eyes clean without constant human intervention? Well, a clever new feature that Tesla has previously hinted at in their FSD release notes provides the answer. Robotaxi can now trigger a specific wiper and washer fluid sequence designed to clean the main front-facing cameras.
This might seem like a small detail, but it’s a brilliant solution to one of Tesla’s primary challenges - maintaining sensor clarity. While the vehicle could simply wipe the windshield multiple times, this is a clever solution to clean the most important area of the windshield as thoroughly as possible by focusing extra wiper fluid and wipes on that area.
Complex Maneuvers
Two areas where current builds of FSD V13.2.9 sometimes show hesitation are U-turns and navigating busy parking lots. The latest Robotaxi build appears to improve on both of these areas.
This first video shows a Robotaxi performing a flawless U-turn with no hesitation, and then smoothly switching lanes to take a turn.
Another video on X shows FSD’s updated confidence in navigating a complex parking lot for a precise drop-off. Today’s builds can sometimes struggle in parking lots, being slow and overly cautious when not needed, or too confident elsewhere. This appears to have been improved in these Robotaxi FSD builds with improved path planning and confidence.
Tesla Robotaxi service is just so smooth. Handles parking lots very well, noticeably better than the competitors pic.twitter.com/D5OxSrajCW
We’re also likely to see FSD begin to handle more complex destination options, including parking garages and driveways, which have been promised features for almost a year. The Robotaxi FSD build has also gained the ability to safely pull over on a road, similar to the ambulance example above, but it uses this capability to drop off and pick up passengers. This is a feature that was mentioned in FSD v13.2’s Upcoming Improvements section.
Better Nighttime Performance
Driving at night presents additional challenges, including headlight glare and reduced visibility. The latest version of FSD appears to handle it with almost the same grace as it does during the day. Remember that Tesla’s Robotaxis are available up until midnight. Early access riders mentioned that FSD is far smoother and is a step up from the behavior of current FSD builds.
Impressive nighttime performance from Tesla Robotaxi, dropping us off at In-N-Out as smoothly as it did during the day. pic.twitter.com/yQOhphtR0q
Now, what happens when a passenger feels unsafe or has a critical question? Tesla has placed two key buttons on the rear screen for just those purposes. Users are given control over the ability to Call Support, which almost instantly connects them with a real human agent at Tesla’s Robotaxi Operations Center via video call.
Here’s what happens when you hit the support button in Tesla’s Robotaxi’s.
While it isn’t a fundamental driving feature, it does mean that Tesla’s team can provide support to Robotaxi vehicles remotely, like issuing directive commands to have a vehicle proceed straight, rather than attempting to turn through a gated community.
The other option, Pull Over, allows a rider to immediately request the vehicle to safely pull over, which it will do when it can find a safe and open location. At this point, you can either continue your trip or get out of the Robotaxi.
Both options prompt you with an “Are You Sure?” button before letting you continue, which means you won’t have your Robotaxi ride come to an abrupt stop if you tap the ‘Pull Over’ button by accident.
What This Means for Tesla Owners
These features are likely to be included in future FSD builds. This is essentially the new benchmark by which to judge FSD, at least once it begins rolling out to customer vehicles.
Many of the core driving improvements, such as the more confident maneuvering and emergency vehicle response, will make their way to the wider fleet in upcoming FSD updates.
Remember - Robotaxi isn’t just a service, it is also a preview of Tesla’s driverless FSD builds.
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