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Tesla Tequila is Elon Musk’s latest proof that advertising isn’t necessary
Tesla makes cars, big batteries, solar panels, and now tequila. But the few hours that the most recent product on that list was available shows that advertising isn’t needed to create brand loyalty or a strong consumer base. Instead, Tesla creates a great series of electric cars and sustainable energy systems. Pair that with an innovative CEO that people believe in, and you can sell basically anything: Just ask Tesla, or the Boring Company, for that matter.
After years of teasing a high-quality, agave-based liquor known as tequila that would dawn the electric car company’s name, Tesla Tequila finally hit the shelves after two and a half years of anticipation. It didn’t last long, though, as the $250 + tax bottle of booze that was shaped like a lightning bolt wasn’t available for more than a few hours. A company that has never made tequila, or any drinks for that matter, and spends 99.999999% of its time trying to figure out the world’s transition to sustainable energy sold out of its first batch in a relatively short period of time.
Tesla Tequila sold out in just a few hours, no advertising needed.
Not knowing the quality of the booze they were buying, nor whether it would be available again, Tesla fans flocked to the company’s shop and bought up to two bottles per person. Disappearing in a few hours, Tesla hasn’t stated whether a second batch will become available. But if you didn’t get one, bottles are still being sold on eBay for more than they were originally worth. But don’t expect it to have tequila inside.
Tesla has managed to sell a product that isn’t a car or a battery, all by Elon Musk making an April Fool’s joke two years ago. It is the latest testament to the company’s strange and unorthodox advertising campaign. The thing is: it’s only strange if it doesn’t work. And besides, that money is going toward product development, which is more important to the company’s future, anyway.
But it did work, and it isn’t the first time. In January 2018, Musk’s Boring Company sold 20,000 Flamethrowers for $500 apiece. Selling out in a few days, Musk vowed on the Joe Rogan Experience that they’ll never make more of them and that it was a horrible idea. “You shouldn’t buy one. I said, ‘Don’t buy this Flamethrower. Don’t buy it.”
But people bought it, and they bought them quickly. It isn’t a secret why, either. Flamethrowers are cool, they were limited edition, and they were something that was thought up by Musk, and fans wanted every part of it.
But on a more serious note, the same thing is going on with Tesla’s actual products. While the company has a concerted effort to create a massive volume of electric cars and energy storage systems, Tesla is working on expanding its production capabilities to keep up with demand. The Tesla Tequila and the Flamethrower are novelty items. However, these cars will keep the Earth free of fossil fuels and massive batteries that will keep energy available for outage occurrences.
The automaker is opening new production facilities in the United States and Europe and trying to solve the challenges that come with manufacturing. It turns out that electric cars are gaining momentum over their gas-powered counterparts, and Tesla didn’t need to buy any airtime or cool social media ads to convince people to drive their cars.
It all comes down to creating a product that people believe in. If you can build a solid base of customers who believe in the mission, you can sell anything. Advertising isn’t necessary, and Elon Musk and Tesla have recognized that.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
