Earlier this week, Tesla reduced the price of the Model S by $3,000. When a price change is applied to any of Tesla’s vehicles, it is usually a race between media outlets to report it first. I believe that many news sites look at it as an opportunity to have a post with high views, and being the first to report it could lead to that. Also, with human beings remaining relatively misinformed about EVs and Teslas’ prices in specific, whenever a price drop is applied, it is a huge deal.
But the reason for misinformation spreads to journalists as well. I found myself shocked at the Fox Business article that implied that Tesla was undergoing some sort of “sales slide.” At least, that’s what they put in their headline.
Baffled at what I had read, I felt compelled to post it on Twitter and LinkedIn (the only two forms of social media I have) and set the record straight. While it is true that the percentage of the Model S sales has gone down, it is untrue that Tesla, or the flagship sedan, is seeing record low numbers because of a “sales slide.”
https://twitter.com/KlenderJoey/status/1316017793070850053
First, Tesla just had its most successful quarter in terms of production and deliveries in Q3. 139,300 cars were delivered, and 145,036 cars were produced at Fremont and Giga Shanghai. Nothing about that indicates a sales slide, especially considering the massive growth during the quarter in both deliveries and production.
The Model S and Model X were delivered 15,200 times during the quarter. Yes, this is a relatively small percentage, just a tad more than 10% of the total deliveries that Tesla performed over the course of the quarter. It is a 33% growth from the last quarter, where the company only delivered around 10,000 of the two vehicles.
In my opinion, it isn’t that Tesla’s flagship sedan is “less popular” or even “slumping” in terms of sales. I think that the Model Y and Model 3 are simply better options for most car buyers. I’ll tell you why.
First, we have their price. The Model 3 and Model Y have better price points, and they are Tesla’s first two mass-market vehicles. This means that the prices will fit more budgets, and it will be a more popular vehicle because of that.
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Secondly, the Model 3 and Model Y technology is significantly better than the Model S and Model X. Of course, the Model S has a lot of power, and the Model X has those awesome falcon-wing doors that everyone freaks out about. But in terms of sheer technology, the Model 3 and Model Y are just better options. They are minimalistic, they are newer designs, and they are also operating with better batteries than the Model S and Model X.
The Model 3 is, as far as we know, still utilizing the 2170 cells, while some speculation suggests that Tesla could already be putting the 4680 cells in the Model Y. These cells are not only more affordable, but they’re also more efficient, offer better power, and their energy capacity is greater.
The Model S and the Model X are still using the 18650 battery cells, which are still great batteries. The Model S has an EPA record 402 miles of range, and they both have 100 kWh battery packs in their performance models, which makes them a better option for the speed demons out there. Nevertheless, battery tech has gotten better since the Model S and Model X have been built, and neither of these cars has undergone a refresh, which brings me to my next point.
Buying a Model 3 or a Model Y ensures that a car buyer has the most up-to-date Tesla technology available. In addition to the already more minimalist design that the 3 and the Y offer, these two cars’ look is fresh in people’s minds. The Model 3 literally just underwent a refresh last night, and the Model Y is only seven months old as of right now.
Meanwhile, the Model S and Model X have relatively the same design as they did when they were released. The only things that have really changed are the available colors and the grille, which are minor cosmetic modifications. I love the look of the S and the X, but some people out there need the most updated versions of things. That is why we see so many people waiting for Apple to release a new phone, even though theirs works perfectly fine.
There’s nothing wrong with wanting something new. I get it. Believe me, I will be one of the first people in Pennsylvania to have a PS5, but that’s a $500 purchase. A car is $35,000 at the least if you want a Tesla.
All of this brings me to my point: These large-scale media networks reporting price cuts should just report the price cuts. Nothing more, and nothing less. There is no reason for these media outlets who have no idea what they’re talking about to sit there and suggest that the Model S is having a sales slide when they are still selling a healthy amount of vehicles.
Even Tesla knows that the Model S and Model X are not going to be big factors in the company’s future growth. That’s why the company has confined production to Fremont and hasn’t expanded it to Shanghai or even mentioned it with Giga, Texas. There is no need to. Remember, Tesla’s ultimate mission is to accelerate sustainable energy and transportation, not turn a massive profit with really fast cars. If that were the case, I’m sure the Roadster would already be built and roaming around the streets of California being driven by celebrities and Tesla referral code masters.
There is a real danger here with the way media outlets are angling their headlines. Ultimately, Tesla is doing a great job of expanding its presence in the automotive market. If mainstream media was more responsible with its reporting, could Tesla’s popularity be even more widespread at this point?
I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!
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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
