Tesla has revealed some new features on the new Model Y “Juniper” through an interview conducted at one of the company’s Northern California showrooms.
Nathan Di Giusto, Tesla Vehicle Engineering Head for the 3/Y platform, and Emmanuel Lamacchia, the Model Y’s Program Manager, sat down with owners club Tesla Owners Silicon Valley to breakdown some of the new features and design changes that the company decided to make on the new Model Y.
Tesla implemented design and efficiency changes on the Model Y to make it even better than it was previously. The past iteration was the best-selling vehicle of any kind on Earth at one point, so Tesla is truly looking to improve on what many felt was an already close-to-perfect vehicle.
During the interview, Di Giusto and Lamacchia revealed some really interesting changes the company made to improve the Model Y, as well as some other things that could bleed over into other vehicles, like new paint colors and efficiency strategies.
Design Changes
- Tesla removed its ‘T’ logo from the vehicle, which was always the intention. The Chinese market required the ‘T’ logo, but the U.S. vehicle was meant to be left blank.
- The new rear power seats utilize a gearbox that was designed internally by Tesla
- Tesla chose to reintroduce the turn signal stalk because of customer feedback. When the automaker axed the stalk with past vehicles, they felt there was an overwhelming amount of drivers who would rather have it than the buttons. The buttons are still available.
- New paint colors will be heading to the North American market soon. Other markets have seen new paint colors be rolled out, but Tesla is planning to bring them to the U.S., Canada, and Mexico soon.
Efficiency Focus
- One of the biggest changes Tesla made to improve efficiency was a focus on the braking system. Tesla realized it could reduce drag from brake calipers to increase range and efficiency
- The glass roof on the new Model Y is metallically coated with two layers of silver. This not only improves cabin noise levels but also improves the cabin’s ability to maintain the heat level with better thermal performance.
- Tesla had the opportunity to implement a larger battery for more range, but it felt as if this would take the vehicle out of affordability for most consumers.
- The company examined everything from interior lighting, even in the center console, to help improve efficiency in any way possible
- HVAC fans now have a lower-speed operation
- EPA range figures will show more than the 2.8 percent estimated range bump from past Model Y
More Comfort
- Smoother and quieter closing door latches and trunk lids
- Interior materials have been wrapped to continue combatting excess cabin noise, a common issue for electric vehicles
- This includes carpeted cupholders, trunk lids, and side trim, all of which deaden the noise in the cabin and make for a quieter ride
- Vehicle sensors can now detect humans in the vehicle, along with their heartbeats and breathing patterns.
- Laminated rear glass for cabin noise reduction
Tesla’s new Model Y is set to start deliveries in March and is currently only available in the “Launch Edition” trim, which starts at $59,990 before any incentives.
The full interview with members of the Model Y program is available below.
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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
