News
First close-up look at Tesla’s Model 3 interior in production-ready form
Following this week’s sighting of a very refined looking blue Tesla Model 3 driving near the company’s Silicon Valley headquarters, the vehicle was sighted once again this time giving us a first close-up look at a very production-ready Model 3 interior.
The blue Tesla Model 3 was spotted on Thursday shortly before 4pm local time driving away from Tesla HQ and coming to a stop at the intersection of Arastradero road and Purrsima. It’s the very same road we first captured on video a black Model 3 doing a very spirited drive with a BMW chase car. However, unlike previous sightings of the highly anticipated electric car, Thursday’s sighting takes place while being directly next to the vehicle.
Teslarati obtained the following never-before-seen photos showing a close-up look at what’s presumably the final version of the Model 3 dashboard. As noted by Chief Elon Musk earlier this month, the dashboard doesn’t have a heads up display – much to the disappointment of HUD hopefuls worldwide. Noticeably present is the large landscape mounted center infotainment system which will also act as the main command center to the vehicle. The thin touchscreen device framed by what appears to be a hard plastic bezel with rounded corners rests several inches away from a shallow dashboard.
Tesla Model 3 drivers will not have an instrument cluster with speedometer. After all, Elon Musk says “you won’t care“. Nor will there be a “hump” on the dashboard in front of the steering wheel. Some Tesla community members speculated that there would be some form of an instrument cluster, after seeing a rounded dashboard protrusion appear on a rendering showing a Tesla Model 3 under a Supercharger with solar canopy.
In its place is a streamlined and simple looking horizontal strip of seemingly functionless interior trim. With the expectation that Model 3 will one day be fully self-driving, Tesla could eventually use the area as a storage compartment for passengers in the non-driving driver’s seat.
A large digital readout resembling that of an oversized analog speedometer appears on the left side of the infotainment system and occupies nearly a third of the overall screen size.
Also seen in our spy shots is a bamboo style interior finish that’s currently not available on either the Model S or Model X. The interior trim decor is angled on a downward slope away from the vehicle’s ventilation system that’s located directly above and runs the full width of the dashboard.
We’re also getting a clear look at how the steering wheel is mounted which swoops in and around the bottom section of the dashboard.
The center console of the Model 3 remains largely the same as early Alpha cars that we’ve seen. Two cupholders have been provisioned into the center console storage unit which appears to have pull handles similar to that of the Model S and Model X console.
Lastly, we’re seeing what appears to be the final trunk and glass roof design. Though black tape is seen across the entire car masking off any gaps between body panels and doors – presumably as engineers perform quality assurance wind testing – the Model 3, overall, appears to be very well-finished.
The rear defroster lines can be seen on the rear windshield leading to two unknown circular marks on the glass roof. A horizontal rear brake light can be seen mounted towards the bottom of the rear windshield.
Musk has said that the first deliveries of Model 3 will be the simpler rear wheel drive configuration followed by the dual motor variant and performance version in late 2017 and into 2018. With only a couple of months left before Tesla is expected to begin low volume production of the first Model 3 variants, we suspect that there will be very few updates, if any, to come. Tesla is expected to hold a Model 3 launch event in July.
Have you spotted a Model 3? Be sure to send us a tip at tips@teslarati.com or DM us on @Twitter or Facebook.
A big thanks to Wayne for providing Teslarati with the following exclusive photos. We’ve stitched together Wayne’s photos to create an animation that shows his perspective of the oncoming Model 3.
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
