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Tesla Model S “Refresh” spied track testing
New photos from the Tesla Fremont Factory obtained by Teslarati show the new Refreshed Tesla Model S and its new features, confirming the long-time speculation of whether the company’s flagship sedan would be updated nine years after its initial release. After the Plaid Model S was announced in 2019, slight cosmetic modifications were added to the car to increase aerodynamic performance in a track setting. Some of these new features included a wider body, a rear diffuser, and a spoiler. Tesla has made several changes to the Refreshed Model S, as seen in the photos below. The vehicle was spotted at both the Fremont Test Track and on public roads when the photographs were taken.
For those who are unfamiliar, Tesla operates its own test track behind the Fremont factory for its vehicles. In 2013, three years after Tesla’s purchase of the Fremont factory from GM, the electric automaker bought the 35-acre property that included the test track from the Union Pacific Railroad. It is located adjacent to the Fremont factory, so Tesla can take cars that need to be tested to the track within a few minutes. In the past, Tesla has tested vehicles like the Model Y and the 2020 Roadster at the track prior to their release, indicating that the new Model S that was spotted could be on its way to the company’s Design Studio shortly.
Initial rumors of the Model S refresh emerged in late 2020 after several updates to the Model 3 and Model Y vehicles. While the Model Y underwent several minor updates, like a new center console, new door paneling, and a heated steering wheel in China, the Model 3 was the subject of more noticeable cosmetic revisions. The mass-market sedan from Tesla was equipped with a full chrome delete kit that now comes standard, a new center console design, new headlights, double-paned glass, a powered trunk, and other interior revisions.
On the other hand, the Model S has only undergone one true cosmetic revision since its initial release nearly nine years ago: the removal of the nosecone. Since the vehicle has gone so many years without a real update or any major changes to its aesthetic qualities, Tesla may have decided it was time to “refresh” the car.
Now, photographs of the new Model S have been captured, showing a wider body, revised fog lights, new wheels, and several other cosmetic revisions.
A few of the more notable changes are a new front diffuser, a part that became standard with the newly-designed Plaid Model S. A diffuser displaces air underneath the vehicle’s body, increasing aerodynamic performance and making the flow of air more efficient during travel. Additionally, the front fascia has also been revised slightly. This is the second revision Tesla has made to this portion of the Model S since its release. The new design includes a larger central air intake vent for improved airflow and ventilation to the battery pack. This eliminates the possibility of overheating and improves battery lifetime and performance.
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- The Model S in this photograph shows the revised front fascia, new fog light design, a wider body and new wheels. Photo: Teslarati
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- A second photo shows a head-on view of the Model S spotted at Fremont. Photo: Teslarati
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- Tesla has placed new wheels on the Model S in this photo, reminiscent of the Arachnid wheels that were included in the referral program. Photo: Teslarati
One of the more interesting and speculative details of the new Model S is that there is no touchscreen protruding from the top of the dash. The Model 3 and Model Y center dash screen can be seen from the outside of the vehicle when looking through the windshield. There is no evidence that Tesla is adopting the 3 and Y center touchscreen design for the Model S refresh. We are currently not aware of any modifications to the vertical touchscreen that has been standard on the Model S and Model X.
The fog lights located on the bottom of the front lip have also been modified, bringing a slightly new look to the lower lights. Additionally, new wheels appear to be on the Model S, and they look to be a revised version of the Arachnid wheels that Tesla included as a Referral Program reward back in 2016. Neither the 19″ Tempest Wheels nor the 21″ Sonic Carbon Twin Turbine Wheels that are available with the Plaid Model S matches the wheels that were equipped on the vehicle that was spotted at the Fremont Factory. This appears to confirm Tesla may also be releasing a new wheel design that will be included with the Refreshed Model S design.
It seems the refreshed Model S has adopted more features that are going to be included on the Plaid Model S, due to be released in late 2021. A wider fender design is paired with new, wider wheels. These modifications were first noticed on the Plaid Model S that was spotted running spirited laps at the Nürburgring in Germany in 2019.
Photo: Teslarati
Another interesting note is the side repeater cameras have been adjusted onto the new fenders, but only slightly. It appears Tesla has moved it forward toward the wheel well. This could be to increase visibility when the cameras are activated.
The final noticeable external revision is a new rear bumper design that is more robust than the original Model S design. This could be indicative that the black Model S in the photos we shared could be the Plaid Model S, as it also has a wider rear bumper. However, it does not have a rear diffuser installed underneath, meaning it could just be a refreshed design.
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- Photo: Teslarati
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- Photo: Teslarati
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- Photo: Teslarati
Tesla is holding its Q4 2020 Earnings Call on Wednesday and many enthusiasts believe the company will announce either a refresh to the Model S, or will indicate the Plaid Model S will be on its way soon. With the several external modifications that have been spotted thanks to the pictures above, we know that Tesla is working on a revised design for its flagship sedan. While no details are known about the interior as of yet, details will be shared as they are found.
The Kilowatts spotted some more photos of the unique Model S at Fremont, providing some additional perspective on what changes Tesla made to its flagship sedan.
Elon Musk
The Boring Company just doubled its tunneling power in Nashville
The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.
The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”
MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.
Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.
Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here.
Will MB2 catch up to MB1, who had quite the head start?
And Prufrock-MB3 ships in August! pic.twitter.com/TTrMql2aRg
— The Boring Company (@boringcompany) June 17, 2026
It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.
Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.
With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.
Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.
The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.
Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.
The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.
In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.
Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.
In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.
Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.
Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.
This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.
As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
The Boring Company just doubled its tunneling power in Nashville
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
