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Tesla Model Y has rear cargo space that’s more Model X than Model 3
Recent images of a Tesla Model Y release candidate with its rear hatch open has provided a small teaser of the upcoming all-electric crossover’s rear cargo space. Based on the photos, it appears that the Model Y’s primary luggage area is very generous, to the point where it almost seems comparable to that of the larger Tesla Model X. This is quite impressive, especially considering that the Model Y shares 75% of its parts with the Model 3 sedan, which is far smaller than the Model X.
The new pictures were shared on the Tesla Model Y Enthusiasts Facebook page, with members Thomas Andre Davik and Josh Jones sharing a couple of new shots from a recent Model Y sighting. Fortunately, the two Tesla enthusiasts were able to capture a photo of the vehicle with its open rear hatch, showing how much cargo space is available when the second row seats are up.
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- Tesla Model Y trunk (Source: Thomas Andre Davik | Model Y Enthusiast Facebook Page)
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- Tesla Model Y extra storage under main trunk(Source: Josh Jones | Model Y Enthusiast Facebook Page)
The Tesla Model Y with rear hatch open. (Credit: Thomas Andre Davik and Josh Jones/Facebook)
Immediately noticeable from the images was the fact that the Model Y’s luggage area is quite large. Surprisingly large, in fact, even without its additional storage space underneath the trunk itself. An image of this additional storage area shows that it is quite deep as well, possibly fitting a couple of extra bags during long drives.
Reactions from the Tesla community show that the Model Y’s cargo space may end up being a key selling point for the upcoming vehicle. Tesla Model X 90D owner and r/TeslaMotors subreddit member u/kenriko noted that the Model Y’s luggage space looks comparable in utility as his vehicle’s cargo area with its third row folded. Fellow Tesla enthusiast Christopher Pichner also remarked that the Model Y’s design makes for a cargo area that looks more usable than his 2018 Subaru Forester, which lists a 76 cu ft of luggage space versus the Model Y’s 66 cu ft.
These observations, while only based on a couple of new photos of the Model Y, bodes well for the upcoming all-electric crossover, as it suggests that Tesla is pretty much optimizing the vehicle’s utility as much as possible, making it more attractive to the mainstream crossover market. The comparisons to the Model X’s cargo space are quite impressive too, considering that the Model Y shares most of its parts with Tesla’s smallest vehicle today, the Model 3.
As the Model Y nears its first deliveries, it is becoming more and more evident that the vehicle is designed to disrupt an established auto market. Apart from its competitive price, the Model Y has the performance to match, with its top-tier version being capable of sprinting from 0-60 mph in 3.5 seconds. The Model Y also has a middle row pass-through feature that will allow owners to transport long items like skis without any issues. Together with a seemingly very generous trunk space, these little details may very well prove to be among the reasons why the Model Y may eventually start eating into the market of mainstream vehicles like the Honda CR-V and the Toyota RAV-4, much like the Model 3 and more affordable cars like the Toyota Corolla and the Honda Accord.
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
