The refresh, or Highland Model 3 began with engineering test vehicles being spotted near Giga Texas and the Fremont factory in California. Similarly, this covered-up Model Y was spotted near Pasadena, California.
Given the timelines we saw for the new Model 3, this prototype for the Model Y appears to be following a trajectory for an early to mid-2025 launch. Engineering test vehicles for the new Model 3 were first spotted in North America about 6-8 months prior to its introduction to China. After its initial release in Chinese, the vehicle was later released in North America just a few months later.
If timelines for Project Juniper are similar to what we saw for the Model 3, we should expect to see more engineering test vehicles on the road in North America soon.
The vehicle is expected to be released in China first, with a North American and European arrival following sometime after. While the Performance variant of the new Model 3 didn’t launch until April of 2024, several months after the Long Range version was available in North America, it’s not clear whether Tesla will follow a similar strategy and launch the Long Range version of the new Model Y before the Performance model.
Front Bumper Camera
There was a lot of speculation about the refreshed Model 3 coming with a front bumper camera, but so far the Cybertruck is the only Tesla vehicle that includes a bumper camera and a camera washer (video). While updated versions of the Model S and Model X are also expected to add the lower-bumper camera, so also have yet to go on sale as well.
It’s not clear why Tesla didn’t launch the new camera with the new Model 3 since the bumper was already being redesigned and the factories were being retooled. However, according to the spy shot of the updated Model Y, it looks like it could be Tesla’s second vehicle to include the bumper camera. TeslaNewswire shared a photo of the Model Y with the brightness increased which appears to reveal the new front bumper camera. The location is exactly where you’d expect, very similar to the Cybertruck and similar to early shots of the prototype Model 3 that also contained the bumper camera.
It’s not clear whether this additional camera will make it into the production version, but it’s at least a sign that Tesla is considering adding this camera to another model.
Musk Asks People to Stop
Elon Musk replied to Sawyer Merritt on X (Twitter), not only reiterating that the refreshed Model Y will not be released this year. He also asked people to stop hinting that it will be since it damages Tesla’s sales of the current vehicle.
Musk reiterates that the new Model Y will not launch in 2024
kylaschwaberow/X
Potential Upgrades
While the release of the new Model Y may be about a year out in North America – there is a chance that the updated Model Y Juniper could show up with Hardware 5 sensors and computers. Elon Musk estimated that HW5, now dubbed AI5 was about 12-18 months away from production. The new Model Y could be the vehicle that debuts the new FSD package.
Of course, all of the rest of the upgrades that came with the updated Model 3 will all likely come to the Model Y – a new front and rear fascia, new adaptive headlights, increased range, ambient lighting, new colors, new speakers, and better dynamics in general. Package all of that up with what was already the best-selling car in 2023, and we’ve got a hit on our hands.
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Tesla has always embraced whimsy in its software, packing it with playful Easter eggs and surprises. From transforming the on-screen car into James Bond’s submarine to the ever-entertaining Emissions Testing Mode and the fan-favorite Rainbow Road, these hidden features have become a signature part of Tesla’s software.
Of course, launching a new product like Robotaxi wouldn’t be complete without a fun little easter egg of its own. The end-of-ride screen in the Robotaxi app presents a familiar option “Leave a tip.”
For anyone pleased with their Robotaxi ride, they may be tempted to leave a tip. However, tapping the button presents our favorite hedgehog instead of a payment screen.
The app displays a message, alongside the familiar Tesla hedgehog, that simply states “Just kidding.”
While it's a fun prank, it’s also a nod to what Tesla really wants to do. They want to reinforce the economic advantage of an autonomous Robotaxi Network. Without a driver, there is simply no need to tip. The gesture is playful, but it’s a reminder of what Tesla’s real aim is here.
Over the last few days, we’ve seen some exceptionally smooth performance from the latest version of FSD on Tesla’s Robotaxi Network pilot. However, the entire purpose of an early access program with Safety Monitors is to identify and learn from edge cases.
This week, the public saw the first recorded instance of a Safety Monitor intervention, providing a first look at how they’re expected to stop the vehicle.
The event involved a complex, low-speed interaction with a reversing UPS truck. The Safety Monitor intervened to stop the Robotaxi immediately, potentially avoiding a collision with the delivery truck. Let’s break down this textbook case of real-world unpredictability.
The Intervention [VIDEO]
In a video from a ride in Austin, a Robotaxi is preparing to pull over to its destination on the right side of the road, with its turn signal active. Ahead, a UPS truck comes to a stop. As the Model Y begins turning into the spot, the UPS truck, seemingly without signaling, starts to reverse. At this point, the Safety Monitor stepped in and pressed the In Lane Stop button on the main display, bringing the Robotaxi to an immediate halt.
This is precisely why Tesla has employed Safety Monitors in this initial pilot. They are there to proactively manage ambiguous situations where the intentions of other drivers are unclear. The system worked as designed, but it raises a key question: What would FSD have done on its own? It’s not clear whether the vehicle saw the truck backing up, or what it would do when it finally detected it. It’s also unclear whether the UPS driver recognized that the Robotaxi was pulling into the same spot at the exact same time.
It’s possible this wouldn’t result in a collision at all, but the Safety Monitor did the right thing by stepping in to prevent a potential collision, even one at low speed. Any collision just a few days after the Robotaxi Network launch could result in complications for Tesla.
Who Would Be At Fault?
This scenario is a classic edge case. It involves unclear right-of-way and unpredictable human behavior. Even for human drivers, the right-of-way here is complicated. While a reversing vehicle often bears responsibility, a forward-moving vehicle must also take precautions to avoid a collision. This legal and practical gray area is what makes these scenarios so challenging for AI to navigate.
Would the Robotaxi have continued, assuming the reversing truck would stop?
Or would it have identified the potential conflict and used its own ability to stop and reverse?
Without the intervention, it’s impossible to say for sure. However, crucial context comes from a different clip involving, surprisingly, another UPS delivery truck.
A Tale of Two Trucks
In a separate video posted on X, another Robotaxi encounters a remarkably similar situation. In that instance, as another UPS delivery truck obstructs the path forward, the Robotaxi comes to a stop to let its two passengers out just a few feet from their destination.
Once they depart, the Robotaxi successfully reverses and performs a three-point turn to extricate itself from a tight spot. That was all done without human intervention, by correctly identifying the situation.
This second clip is vital because it proves that the Robotaxi's FSD build has the underlying logic and capability to handle these scenarios. It can, and does, use reverse to safely navigate complex situations.
Far from being a failure, this first intervention should be seen as a success for Tesla’s safety methodology. It shows the safety system is working, allowing monitors to mitigate ambiguous events proactively.
More importantly, this incident provides Tesla’s FSD team with an invaluable real-world data point.
By comparing the intervened ride with the successful autonomous one, Tesla’s engineers can fine-tune FSD’s decision-making, which will likely have a positive impact on its edge case handling in the near future.
This is the purpose of a public pilot — to find the final edge cases and build a more robust system, one unpredictable reversing truck at a time.
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