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Thoughts About the Model X from a Model S Owner
Here’s a little story about my journey to becoming a Model X owner. I started my search for a new car roughly two years ago to replace my aging Acura MDX SUV. Gas prices were at an all time high back then and having a monthly expenditure of $600 for transportation was something I could surely do away with. I did my fair share of research on hybrids in hopes I would eventually choose one as a replacement car, but ultimately dismissed them as an alternative due to the complexities of the powertrain. That was until I ran into Tesla and its Model X. The rest was history.
The Model X Promise
I finally narrowed my search among hybrids and EVs to Tesla’s Model X. The Model S was already available for order at the time and the Model X was still coming soon. I’d driven SUVs for the last 14 years and had an affinity towards them. Needing to survive through the New England winters, while living on a farm with an expanding family, naturally skewed my pursuits for a SUV as it seemed to be the right fit for my lifestyle. Although I had already fallen in love with the Model S, I managed to curb any desires to purchase one and waited patiently on the Model X through much of the second half of 2013 and early 2014.
That was until the Model X delivery estimate began to slip from “early 2014” to “late 2014”, and then again to “second quarter 2015” (it would be postponed yet again later on). I eventually got the hint that the Model X wasn’t going to roll off the production line anytime soon. To make matters worse, my aging SUV was surpassing 200K miles and my kid was becoming of driving age and was to receive the hand-me-down SUV.
Full-size bike stored in the back of a Model S
I really wanted the Model X but inevitably I started to think about whether the Model S could satisfy my criteria for a new car, as follows:
- Must have plenty of room for carrying around luggage, sports gear, bikes, farm stuff, etc.
- Something I could drive all year round and has maximum safety
- Must have enough room for seven people
I left off the need to have a towing package on my must-have list because in my seven years and 200k miles of ownership on the Acura MDX, I never used its built-in towing capabilities once. The MDX had more than ample space for bikes, which I would place inside the car, and roof mounted equipment using the roof rack.
I watched countless Bjorn Nyland videos and ones from Tesla, so much that I was thoroughly convinced that the Model S (real wheel drive was the only option at the time) could be driven in the harshest of winter environments.
My thoughts around owning a seven seater started to dissipate. When my daughter was young, I would haul her and a pack of her friends around in a seven passenger vehicle. But as she grew up and no longer needed rides other than for a few close friends and her boyfriend (sigh), having a vehicle to seat seven became less of a requirement.
And for that reason, I forewent my Model X and ordered the Model S instead during March of 2014. That turned out to be one of the best decisions I’ve ever made in life.
Longing for the Model X
Despite being happily committed to my Model S as a relatively new owner, I still couldn’t stop myself from thinking about the Model X and ultimately ended up putting down a reservation for one once the Design Studio became available. I had convinced myself that a SUV is what I really wanted from the get go. Perhaps I’d trade my Model S in for the X but I still had time to figure that out.
I had also justified placing a deposit on the Model X because my wife’s SUV, a ML 350 diesel, was starting to experience a lot of mechanical and maintenance issues despite being only 20K miles old (we bought it used). I figured that the X would serve as a great replacement vehicle because frankly I was sick of maintaining her SUV.
Finally, Hello Model X
Nearly two years after I was introduced to the Model X online, I finally witnessed its unveiling, along with the rest of the world, via the Model X online test drive videos. The reactions to it seem generally mixed according to friends that attended the Model X launch event. Don’t get me wrong, the Model X is an amazing and transformative vehicle, but to me I felt that I could not obtain much utility from it over what my Model S is already capable of providing.
Sure I’d love to have all wheel drive, autopilot, and being able to open falcon wing doors in tight parking spaces, but even those features aren’t radically different than newer versions of the Model S, less the falcon wing doors.
Model X panoramic windshield
The Model X panoramic windshield is cool although I’m not sure I’d welcome that much sunlight on me while driving. The ‘bio weapon defense mode‘ seems gimmicky to me and a feature that feels cooler to talk about than it would live out in the real world.
The falcon wing doors are amazing and unique but I can’t help but think that its complexity will lead to long term maintenance problems for Tesla. And after all the challenges faced with creating the rad falcon wing doors, they compounded difficulties by creating auto opening front doors. And what about the active rear spoiler? Why is it deployed in all pictures? Will it ever retract?
What surprised me the most during Elon’s 30 minute presentation on the Model X was the amount of time he spent describing the vehicle’s safety rating and air filtration capabilities. Compare this presentation to an Apple product launch event that’s typically packed with detailed specifications and you’re left feeling a bit underwhelmed. Does anyone know the cargo room for the Model X? How wide is it? How tall? How long? What is the max height of the falcon wing doors? Do all the seats fold flat? A car that costs over $132,000 shouldn’t have details as vague as they are.
We caught glimpses of Firmware 7.0 features on the Model X, but there’s still no official word from Tesla that a new interface will be launched with the Model X.
My Future with the Model X
Electric vehicles are the future and Tesla is clearly leading the way in this new vertical. From the Roadster, to the Model S, and to the Model X, Tesla continues to innovate and redefine what an automobile should be like.
While I still have my Model X reservation, I want to know a lot more about it, touch it and maybe even drive it before I decide on the fate of my reservation. Fortunately, my wife’s SUV started behaving as of late, and I’m also very happy with my Model S. Now is probably not the best time for me to pick up a new Model X, but I can easily see a day when all my cars will be electric powered — and made by Tesla.
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
