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Here’s how Tesla Model Y rear seats can recline and passthrough for long cargo
There’s been a lot of questions circulating on whether Tesla Model Y’s second-row rear seats can recline, but we now learn that it does, plus much more than we expected.
Tesla Model Y is, by many accounts, similar to its first mass-market sedan: the Model 3. With 75% of its design derived from Model 3, Tesla’s first all-electric crossover also seats five adults, with a seven-seat option coming later, but boasts a 15% improvement in rear legroom and a whopping 440% improvement in cargo space. In addition, Tesla has implemented several highly sought after improvements to Model Y, including adjustable rear seats.
Despite not being highlighted in the Tesla’s Owner’s Manual, Model Y rear seats can, in fact, recline to three separate positions by way of a button that’s located inside the upper seat adjustment latch for each outboard rear seat. Tesla owner and YouTuber Tesla Raj details this in his in-depth video review of the Model Y.
“One unique feature of the Model Y is that the rear seats actually recline. Not only do they fold down, they recline,” notes Raj in his demonstration of the three recline positions.
How to recline Tesla Model Y rear seats
Depressing the button inside the rear seat adjustment latch will activate the motorized latching mechanism and recline the seat to the next available position. Pressing the button one time again will recline the rear seat once more. Rear passengers can also hold down the button to recline from the first available upright position to the lowest recline setting.
Model Y rear seats are spring-loaded and can incline by following the reverse procedure. When fully reclined, passengers can tap the button inside the rear seat adjustment latch to incline one position or depress the button to raise the seat to the most upright position.
Model Y Middle Rear Seat
The rear center seat in the Model Y also doubles as an armrest for rear-seat passengers when partially folded down. Inside the armrest are cupholders.
Unique to the Tesla Model Y when compared to Model 3 is a cargo passthrough. Model Y’s middle rear seat can be folded completely down to create a passthrough for stowing sporting equipment like skis and other long cargo. Lowering the middle rear seat can be achieved by pulling on the latch that’s located on the back of the middle seat.
Being able to fold down Model Y’s rear middle seat adds a nice convenience to the crossover’s utility, however, one can’t overlook the support post that protrudes from the left rear passenger seat.
“I will call out that there’s nubbin’ that sticks out. It’s not retractable. It’s always there. Kinda’ comes in the way if you’re using the passthrough,” points out Raj in his hands-on review of the Model Y.
All-in-all, the spaciousness of Tesla Model Y’s rear seat and the trunk is an undeniable strength of the company’s first mass-market crossover. Priced competitively around $50,000 to start, Model Y catapults itself into the crossover market to become a catalyst that will spark an industry-wide change to electrification among one of legacy auto’s most lucrative category.
Check out Tesla Raj’s in-depth review of the Tesla Model Y 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.”
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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
