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Tesla, SpaceX enthusiasts embraced at X Takeover this month
The X Takeover, formerly called the Tesla Takeover, is coming up later this month, and it’s expanding its scope this year to include more than just the electric vehicle (EV) company’s enthusiasts.
Taking place in San Luis Obispo, California, from July 26-28, the X Takeover has increased its offerings this year to accommodate fans of Tesla, SpaceX, and other tech and digital connectivity themes. Along with group rides, a massive live Tesla light show, and more, the event will include keynote speeches from Tesla Chief Designer Franz von Holzhausen and SpaceX-affiliated entrepreneur and commercial astronaut Jared Isaacman.
The event is being organized by Tesla Owners Silicon Valley at the Madonna Inn, with opening events taking place on Friday, while breakout sessions and keynote speeches will happen on Saturday and Sunday. More than 60 exhibitors will be selling accessories, services, and other products, along with a camping expo, a Super modified Tesla contest, a Cybertruck showcase, and more.
“We are thrilled to unveil X Takeover and provide attendees with a unique opportunity to immerse themselves in the worlds of Tesla, SpaceX, and beyond,” says John Stringer, Tesla Owners Silicon Valley President. “Our event will allow attendees to learn from industry experts, connect with like-minded individuals, and experience Tesla’s and SpaceX’s latest technological advancements, and we can’t wait to share them with the world.”
Event sponsors include T-Sportline, Tesplus, Michelin, and Tesla, and a portion of the proceeds from the event will also go toward the 17 Strong charity and St. Jude Children’s Research Hospital. Tickets start at $45 for a one-day pass, or $60 for a Saturday-Sunday pass.
Last year’s Tesla Takeover had over 2,000 in attendance, and organizers expect this year to land somewhere between 2,000 and 3,000.
You can see the full schedule for the 2024 X Takeover below, or check out the full Eventbrite page here to buy tickets.
X Takeover Schedule: Friday, July 26, 2024
- 5:00 p.m. – Open House at Tesla San Luis Obispo
- 6:00 p.m. – Pre-Event Central Coast Scenic Ride & Drive
- 9:00 p.m. – Epic Synchronized Tesla Light Show
X Takeover Schedule: Saturday, July 27, 2024
- 10:30 a.m. – Welcome and Introductions (ft. John Stringer, Kelvin Gee)
- 11:10 a.m. – Cyberbull$: Many Opportunities Ahead for Tesla in the Coming Years (ft. Alexandra Merz, Jeff Lutz, Galileo Russell, Herbert Ong)
- 11:50 a.m. – Enhance Your Tesla Experience: Discover TESPLUS’ Latest Accessories Lineup (ft. Chris Li, Ted Marena)
- 12:30 p.m. – Charge Ahead: Unlocking the Future of EV Charging with EVject’s Breakaway Adapter (ft. Kreg Peeler, Ted Marena)
- 1:10 p.m. – Tesla Adventure: Unleashing the Potential of Camping with Your Electric Ride (ft. Matthew Hofmann, Ted Marena)
- 1:50 p.m. – Living Electric: Exploring the Tesla Lifestyle and Community (ft. Kim Java, Ryan McCaffrey)
- 2:30 p.m. – Unleashing Efficiency: Michelin’s EV-Ready Product Line and the e.Primacy Tire (ft. Russell Shepherd, Ryan McCaffrey)
- 3:10 p.m. – Customizing the Future: T Sportline’s Innovations with Cybertruck Modification (ft. Brian Reese)
- 3:50 p.m. – Into the Future: Exploring Tesla’s Full Self-Driving, Robotics, and Neuralink (ft. Dr. Know It All, Whole Mars Catalog, Ryan Tanaka, Meet Kevin)
- 4:40 p.m. – Keynote: Shaping the Future of Automotive Innovation (ft. Franz von Holzhausen, John Stringer, Kelvin Gee)
- 5:30 p.m. – Group Photo, Super Modified Tesla Contest Winner, Passport Drawing, and Wrap Up (ft. Joe Jefferson)
X Takeover Schedule: Sunday, July 28, 2024
- 10:30 a.m. – Unplugged and Unstoppable: Revolutionizing the Cybertruck and America’s Police (ft. Ben Schaffer, John Stringer)
- 11:00 a.m. – Journey to the Stars: Exploring SpaceX’s Quest for Space Exploration (ft. Ellie in Space, Felix Schlang)
- 11:30 a.m. – Powering Perspectives: Discussions with Tesla Influencers (ft. Dirty Tesla, Bearded Tesla, Everyday Chris, Brian White)
- 12:40 p.m. – Keynote: From Entrepreneurship to the Cosmos: A Journey of Inspiration (ft. Jared Isaacman, John Stringer, Kelvin Gee)
- 1:30 p.m. – Passport Prize Giveaway and Wrap Up
Over 1,000 Tesla owners host largest light show yet in South Korea
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
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
