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Pencils down on Tesla Model 3: here’s what I hope to see

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From what tidbits Tesla has shared, it’s already “pencils down” on the Model 3 design. We’ve seen the prototype, we’ve poured over spy spots and video stills. We’ve even accidentally drooled on our copy of a Franz print. (Oh, that was just me?) In fact, there are quite a few things we already know.

But because this is the age of instant information and chronic impatience – and because I have an enormous amount of faith in Tesla – I’ll pass the time by sharing 10 things I hope to see on the smaller and much more affordable Model 3 that if true, would arguably make owning it an even better experience than the Model S.

Efficiency

The Model 3 will require a smaller battery to go 200 miles on a single charge than a Model S would require. What this should also mean is that on a miles per kWh basis, it’s cheaper to drive than the Model S. I’ve already figured out using very rough and imperfect math that it costs me $.06/mile to drive the Model S given our just slightly above average electricity rates. That is about 1/3 the cost to run my ICE. It’s a bit closer now as gasoline prices have dropped, but the Model S still wins by plenty. If the Model 3 does what I think it will, it should cost even less.

Wheelbase

Maybe it’s me, maybe it’s my age, or maybe it’s the fact that I’ve never owned a 4-door car before the Model S but I really crave a slightly shorter wheelbase in a car. The Model S is a phenom in acceleration at any trim level. The Model 3, especially in a dual motor Performance version, will be no different. Pair this with the agility that comes with having a lighter, shorter car and perennial favorite “car guy” cars like the BMW 335 or Mustang GT will be made to look a fool.

Steering Feel

This right here. Of all the goofy things a person can insist upon when picking out a car, a tightly tuned steering situation is inordinately high on my list. In fact, I almost ended up in a Camaro or Mustang in late 2012. My machismo really wanted to like them. Aside from the fact that I couldn’t actually see over the hood scoop in certain models, I loathed feeling like I was steering a minivan and thus opted for neither. Well, what I assume a minivan feels like. I’ve never actually had the pleasure (?) of driving one. It should go without saying that Tesla will offer driver selectable steering on the Model 3 like it does on the Model S. This pairs nicely with my wheel base argument.

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Kicking the Clutter

I’m anti a lot of stuff: Anti “big oil,” anti the color olive green, anti waiting in line at a chain restaurant when you live in a major city with approximately 17,045 better places to eat. One of the other things I’m against is something that our Model S has not only indulged me on but has made me more so. I’m of course talking about car clutter: unnecessary buttons, knobs, cupholders, nooks, crannies and dust magnets. I do expect a center console of some sort, as well as some semblance of perceived normalcy regarding cupholders but I trust Tesla will maintain their trademark lack of crap.

Ease of manufacturing was a major cornerstone of designing the Model 3. It needs to be given Tesla’s ambitious plans to ramp up production. Cupholders aside, I expect the Model 3 to have an even cleaner cabin. There may be a HUD, may be a simpler instrument cluster (if one at all) and there may even be super minimalistic HVAC vents. As if driving a Tesla isn’t calming and soothing enough, the modern, clean and clutter free interior I’m expecting will probably transport me to an even happier place than a Model S can. The Model S design, while utterly amazing and thus far ageless, was still made to look like a car. The original front end, for example, gently lulled first time EV owners away from the look and feel of a gasoline powered car. Model 3 will have to do no such thing in order to sell.

More Power

Tim the tool man Taylor would be proud that anyone who may own a non-performance Model S or X and chooses to add a performance Model 3 to their garage, may have a hard time going backwards. I don’t imagine it will be quite as stark a contrast as when a Model S owner jumps into a rental ICE, but it’ll surely be plenty to make you want pickup your 3 fob when given the choice.

Next-gen Autopilot

A series of recent Elon tweets speaks to at least a moderate upgrade being possible for Autopilot on today’s equipped cars via software update. Because Tesla is Tesla, I also expect that some hardware refinements will be present by the time the Model 3 rolls off the line. Also because Tesla is Tesla, if the Model 3’s Autopilot isn’t better than a an early AP Model S at the moment you get the Model 3, it probably will be eventually. If my hopes and dreams estimations are correct, I should have a Model 3 around my the third birthday of my Model S. (December 2017.) It speaks to reason that once my youngest Tesla grows up just a bit, he may even exceed the skills of his older sister.

Fit and Finish

Disclaimer: I have never owned a luxury car. The Model S replaced a Jeep Wrangler and to me, it’s perfect. It’s gorgeous, flawless even, elegant and comfortable. The leather, despite not being my choice, is soft and the cabin seems well put together. There are no rage-inducing rattles, nothing has faded or worn or cracked. The car is a real gem, at least in the eyes of someone with my car history. I fully expect the Model 3 will be manufactured with a fit and finish quality on par with an automaker far more experienced than Tesla. Even if it’s not, the many owners who have never had a luxury car before will probably, like me, assume it’s perfect!

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Comfort

See: fit and finish above. 30,000 miles later and I still have no idea why people say the seats in the Model S aren’t comfortable. I don’t pretend to be old or tall or especially large so maybe that’s it. All I do know is that the people have spoken and Tesla has listened. Next-gen seats now exist for the Model S and Tesla will certainly keep seat comfort in mind. For anyone with a Model S with standard seats, the Model 3 may very well be more comfortable.

Booster Seat Ease

I can count on one hand how many times I’ve had kids in the Model S but I can already tell you that installing a car seat or worse, using a booster seat, sucks big time. The seat belts are so deeply recessed (which looks great, by the way) that it makes buckling them over a booster require a circus act of contortion and a whole lot of force. Actually, I hope Tesla is listening to this one because aren’t kids supposed to be able to buckle themselves in? I don’t mean babies, I mean kids. (Aren’t you now required to use a booster seat until Junior Prom?) Neither my 5 or 7-year-old nephew would be able to do it in our S and I imagine having to buckle it for them would get old quickly.

Recognizability

I’m not going to lie here. I love when people recognize our Model S. I sometimes get smiles, raised thumbs and even compliments as I drive the car and there are few things in life I enjoy more than answering questions about it. I expect that to skyrocket in the Model 3. As I learned at the car show, Average Jane already knows about Model 3. If the aforementioned hopes and dreams do come true, I will be a very early Model 3 owner. I can not wait to be stopped and questioned, nodded to and waved at because people recognize the car. The Model S, despite being immensely gorgeous and still well ahead of it’s technological time, will be overshadowed by the excitement of the first Model 3 cars to hit the road.

It’s hard to imagine having a car that is better to drive than the Model S, but boy does it sound like that’s exactly what is going to happen.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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