Rivian recently announced its upcoming attendance at Outdoor Retailer’s Summer Market in Denver, Colorado, continuing their embrace of the outdoor adventure community and the company’s “electric outdoor adventure” narrative.
“Our team is headed back to @OutdoorRetailer next week—this time with the #R1T. Look forward to seeing old friends and meeting new ones. Check http://OutdoorRetailer.com for information on how to attend this industry-only event,” the startup’s official Twitter account revealed.
The Outdoor Retailer event is the largest outdoor industry trade show in North America and is primarily focused on business-to-business networking. Three shows are organized by the brand each year – the Summer Market, the Winter Market, and the Snow Show. This year’s Summer Market takes place June 18-20 at the Colorado Convention Center.
Rivian will be joined by other retailers at the outdoor sports show showcasing innovative and unique gear, apparel, and accessories to include adventure travel, backpacking, camping, hiking, climbing, skiing, and snowboarding, among others. The theme of the event and products offered by other attendees are well matched to Rivian’s own tech and branding. The car maker has frequently displayed an impressive tent attachment on the back of the R1T truck, and several features on the vehicle are specifically aimed at carrying gear for camping, hiking, and other similar outdoor activities. For instance, the R1T has a unique tunnel through the middle of the vehicle that can carry things like snow boards, and there are adjustable cargo racks that easily attach/detach from the roof or on top of the truck bed.
Rivian’s attendance at the Summer Market comes on the heels of their appearance at Amazon’s re:MARS tech expo in Las Vegas. The all-electric car maker also attended the New York International Auto Show and the Overlander Expo West in Flagstaff, Arizona this year.
At each event, new details about the company’s upcoming R1T pickup truck and R1S SUV were revealed, including a portable kitchen built for the R1T gear tunnel and their vehicles’ integration with Amazon’s Alexa digital assistant for voice commands. Rivian sent two team members on a Memorial Day trip to Sedona, Arizona to promote the R1T, kitchen set, and tent attachment via the company’s social media accounts; however, no further details have yet been provided on the Alexa functionality.
In addition to expo appearances, Rivian may have a test drive tour in the works. An attendee of the New York International Auto Show spoke with the company’s team, including CEO RJ Scaringe, and claimed the possibility of a roadshow was discussed that would give potential customers a chance to experience the R1T and R1S while driving. A job posting for a “Test Driver” on Rivian’s website also seemed to confirm this plan, the description for which included “ride and drive demos of Rivian vehicles (Marketing Events, Customer Trade Shows),” among other responsibilities.
As interest in Rivian’s vehicles continues to grow, especially the R1T, Tesla also has its own pickup truck in the works that’s set to be unveiled this summer. It remains to be seen whether the two companies’ vehicles will attract the same customer base – Tesla CEO Elon Musk has often referenced a cyberpunk styling that may not appeal to a wide audience. There is a definite question of price competitiveness, though. Musk recently revealed Tesla’s truck will be priced at $49k or less, while Rivian’s R1T is said to start at $69,000. Rivian’s vehicles are set to be delivered sometime next year, and no timeline has yet been set for the Tesla pickup truck.
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.”
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
