Tesla unveiled a new, “refreshed” Model 3 in early October 2020 that equipped several new adjustments to its mass-market sedan’s cosmetic look and performance. However, true, in-depth looks of the vehicle have been hard to come by, as deliveries for the new version of the car have not yet been completed.
Now, the first looks at some of the Model 3’s new features are being displayed in a new video from Hong Kong-based YouTube channel 駕輛 UpCar. The hosts had the opportunity to take an up-close look at the new Model 3 before others have had the chance.
駕輛 UpCar’s hosts state that the new version of the mass-market Model 3 “is really a new car” based on what they’ve seen from Tesla’s additions.
Tesla Model 3 ‘refresh’ goes live with 353-mile range, Uberturbine wheels, powered trunk, and more
Exterior/Cosmetic Updates
While the car’s exterior shape has remained relatively identical, the only minor revision was the headlights, which were spotted on a pre-refreshed version of the Model 3 that was built in China.
One of the most commonly recognized updates on the refreshed Model 3 was the addition of Chrome Delete. Tesla made this cosmetic modification standard with the Model Y, and many owners have been known to manually make this change with third-party kits on their Model 3s. However, Tesla made the Chrome Delete feature standard with the Model 3 refresh. The door handles, side mirror trim, window trim, and camera covers are all chrome deleted.
Double-Paned Glass
The double-paned glass was spotted on several builds of the Model Y in October. However, the feature is also standard with the refresh, although it was spotted on pre-refreshed versions of the Model 3. The additional layer of glass is required to help with interior cabin noise, which has been a common complaint with some electric cars due to their lack of an engine to dampen road noise. The glass also increases insulation and could complement the addition of the heat pump to the Model 3 to keep the cabin a comfortable temperature for passengers.
Powered Trunk
Another similarity between the Refreshed Model 3 and the Model Y is the addition of a dedicated powered trunk. A powered liftgate button was placed in the Model 3, allowing for easy opening and closing of the trunk at this button’s press.
Cabin Revisions and Additions
Teslarati covered the new center console in October, which is also outlined in 駕輛 UpCar’s video. The new design slides and retracts into itself and also has new material. Tesla parted from the piano black as fingerprints and dust were easily noticed. Additionally, a new suede wireless charging platform was placed just above the new center console design. Tesla began installing wireless chargers in the Model X in early 2020, allowing for quick and pain-free charging of compatible smartphones. USB-C ports are also available in the rear, allowing for fast-charging capabilities for passengers in the back of the car.
Performance and Range Upgrades
In terms of performance upgrades, the Long Range Dual Motor AWD improved from 4.4 to 4.2 seconds from 0-60 MPH, and the Performance gained one-tenth of a second from 3.2 to 3.1 seconds. In range, the Standard Range+ variant went from 250 to 263 miles of range per charge, while the Long Range Dual Motor AWD boosted to 353 from 322. The Performance variant also upgraded to 315 miles from its previous 299.
As Tesla begins the shipment of refreshed Model 3s from Fremont, it is only a matter of time before the first few lucky purchasers receive their cars. Increased performance and range ratings are sure to win over new buyers, but the improvements in Tesla’s vehicles will equate to higher quality builds in the future. The advancements could spread across other vehicles in the future, including Tesla’s planned $25,000 sedan that will be available in several years.
You can check out 駕輛 UpCar’s full video on the Model 3 refresh below.
H/t: Drive Tesla Canada
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
