Tesla is testing the new 2021 Model S “Refresh” on the street in preparations for its release, new photographs show.
Rumors of a revamped Model S and Model X design have been flowing through the community since December. Tesla shut down Model S and Model X production lines at the Fremont production factory in December 2020. The Fremont facility is the only location that the S sedan and X SUV are produced, as Tesla’s other currently-operational production plant, Giga Shanghai in China only builds the Model 3 and Y. Fremont also handles 3 and Y production, but it appears to be business as usual at the plant, as no revisions have been made to either car since the Model 3’s refresh in late 2020.
Teslarati sighted the Model S refresh outside of the Fremont Factory over the weekend. Tesla was using the test track it purchased from the Union Pacific Railroad in 2013, which sits near the Fremont Factory, to test the Model S Refresh. These photographs revealed several changes in the exterior shape, like a wider body used to hold wider wheels, a refined central air intake vent, a new rear bumper, and modified fog lights.
The changes were definitely noticeable, but they were from a distance, so not all of the revisions that Tesla may have made could be spotted. However, new, closer photographs have been captured, giving enthusiasts a closer look at what could be a “Refreshed” Model S.
These photographs were taken on E. Warren Ave, a street that runs East to West and sits directly South of Tesla’s Fremont Factory. As you can see from the photographs, the car runs on public roads near the factory, testing the vehicle’s durability and performance while handling everyday streets.
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- Photo: Teslarati
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- Photo: Teslarati
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- Credit: Google Maps
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- Photo: Teslarati
The two photos give a clearer indication of what Teslarati reported yesterday. The changes to the exterior are relatively minor as the shape of the Model S is basically the same. However, there are numerous improvements to the car that will reap positive benefits to the battery, aerodynamic performance, and the look of the car. One of the most notable changes is what appears to be a revised version of the Arachnid wheel that the Model S Refresh is seen with in the picture.
Comparing the photograph that shows the Model S at an angle with another similar photograph of the flagship sedan, we can see the fog light is shaped differently and seems to include a new shape that is more modern and sleek.
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- Photo: Teslarati
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- Credit: CNBC
The front lip has a larger opening, helping to cool the battery pack down, leading to longevity and more efficient cooling. The inclusion of a diffuser also appears to be sitting under the front lip of the car. On the Plaid Model S at the Nürburgring, the diffuser was located under the rear of the car. This helps improve aerodynamics by displacing air more efficiently.
Tesla has a knack for having release candidates drive around Northern California before its official release. Before the Model 3 was launched by Tesla in the Summer of 2017, several release candidates were spotted driving around Palo Alto, and Elon Musk even released a video of the Model 3 before the final design was approved. Additionally, the Model Y was spotted with testing apparatuses attached to the vehicle in December 2019, three months before the car was initially delivered to its first owner in March 2020.
There is no planned release date for the new Model S as of yet. However, there is certainly something going on at the Fremont factory, as some Body In White vehicles were spotted covered in the parking lot of the production facility last week. The covered bodies looked to maintain an irregular shape, but there were no doors or windows installed. Some anticipate the announcement of the Refresh to be made on Wednesday during the Tesla Earnings Call for Q4 2020, but that remains to be seen.
The Kilowatts also shared their thoughts on the sighting of the Model S Refresh, so be sure to check out their video below.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
