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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Just over a week into the Robotaxi launch, Tesla began laying the groundwork for a more scalable remote supervision model, which will be key to achieving success with the Robotaxi Network.
About a week ago, Elon Musk posted on X that Tesla will likely reach the crucial safety threshold to enable this shift within a month or two. While that means at least another month of in-vehicle Safety Monitors, it does provide us with a timeline of what to expect.
As soon as we feel it is safe to do so.
Probably within a month or two. We continue to improve the Tesla AI with each mile driven.
This timeline came in response to a question about Tesla’s plans for the ratio of autonomous vehicles to remote supervisors. The more vehicles that a single human can supervise, the better, especially if that number can be reduced to something drastic, like a 100:1 ratio. A single human operator would be able to manage an entire city of Robotaxis, which will be critical to make the Robotaxi Network turn a profit.
While Tesla works towards that ambitious future, it is also taking immediate steps to improve the current user experience during the Austin pilot program, where 15-minute wait times have become the norm.
Solving for Wait Times
According to Eric E, one of Tesla’s principal engineers on Robotaxi, the current 15-minute wait times are a classic logistics challenge. The supply of vehicles is lower than the current demand for rides. To solve this, there’s a two-pronged solution for Tesla.
First, Tesla is directly increasing supply by hiring more Safety Monitors/Vehicle Operators in Austin, even hosting an on-site hiring event.
We're looking to hire more Vehicle Operators in Austin, TX to accelerate Robotaxi deployment. We will be hosting an onsite hiring event next Thursday. Please consider applying to the official job posting and completing this hiring event form:
Second, Tesla is working to make FSD and the Robotaxi fleet management software faster and smarter. This means they are utilizing the data from the pilot to better orchestrate the fleet by predicting demand and pre-positioning vehicles in prime locations to reduce wait times. After dropping someone off, the vehicle can start traveling to areas of higher demand, even if someone hasn’t booked a ride yet.
Next Up: Remote Supervision
These immediate fixes are all in service of that much larger goal. Scaling the Robotaxi Network isn’t just about having more cars; it’s about increasing the number of vehicles a single human can safely supervise remotely, which is a requirement for Robotaxi to turn a profit.
Elon’s comments give us this timeline. A more flexible and favorable ratio of 3:1 (although still far from the ideal 100:1) is likely to be achieved within a few months.
Tesla is committed to safety, as evidenced by the safety monitors in the vehicle. A single incident could not only tarnish the public’s view of the Robotaxi Network but could also halt Tesla’s operations altogether.
The data gathered from more Robotaxis on the road is crucial to the whole project. Tesla is gathering more data and issuing newer FSD builds specific to the Robotaxi.
As FSD requires less remote oversight per mile driven autonomously, Tesla can safely increase the number of vehicles per remote supervisor, moving the service closer to its ultimate goal.
Tesla has laid out an aggressive roadmap for the Robotaxi Network and its next few phases. We’ll have to wait and see just how this goes over the next few months, and whether they feel comfortable enough to increase the geo-fence and remove safety monitors.
Following the recent news of Grok being almost ready for Tesla vehicles, Elon Musk confirmed on X that the next major step is with Optimus, Tesla’s humanoid Robot. xAI’s advanced Grok models will eventually serve as the voice and brain for Optimus. This will be a convergence of Musk’s two biggest AI ventures — Tesla and xAI.
This will combine a physically humanoid robot - the brawn - with the new brains, Grok. This integration is more than just giving Optimus a voice - it suggests that Tesla is thinking ahead and possibly intends to use Grok to understand the environment around Optimus, while FSD will handle the robot’s movements.
The combination of Optimus and Grok creates a relationship where each component plays to its strengths.
For years, Tesla’s robotics team has been focused on the immense challenge of physical autonomy. Optimus learns complex tasks by observing humans, basically training itself through video by watching humans. This helps Optimus develop the physical dexterity needed to work in the real world. This is the brawn - the ability to navigate, manipulate objects, and perform useful work.
Grok provides the conversational brain. It adds a layer of natural language understanding, reasoning, and interaction. Instead of needing a computer, a specialized app, or pre-programming commands to give Optimus instructions, a user will be able to simply talk to it in a natural way. This makes Optimus infinitely more approachable and useful, especially for tasks in a dynamic environment, such as work or at home.
xAI and Tesla
Viewed from a different perspective, this move isn’t just about upgrading one product. It is the clearest evidence that xAI and Tesla are collaborating together to build a single, unified AI platform. Musk’s biographer, Walter Isaacson, believes Tesla and xAI will merge. Seeing Tesla and xAI both play critical roles in creating Optimus makes us believe that it may very well be the case.
Transformation to a Humanoid Robot
The confirmation of Grok in Optimus is one of the most significant milestones for the project to date. While Optimus’s ability to walk and work (and dance) is already an incredible engineering feat, it has all been physical abilities so far. Adding the ability to interact with Optimus in a human-like way will transform Grok from a machine to a true, general-purpose humanoid robot.
The ability to understand nuanced requests, ask clarifying questions, and respond intelligently is what will ultimately make Optimus a daily fixture in our lives.
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