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Rivian showroom to open in luxury Chicago neighborhood
Rivian plans to open its first showroom in Chicago’s Gold Coast. The Gold Coast is marketed as an area for luxury lovers, befitting Rivian’s brand goals.
Rivian will open a showroom at 871 N. Rush St. in Chicago’s Gold Coast area. The EV automaker initially planned to open a showroom in the Fulton Market district a few years ago but backed out of the deal for undisclosed reasons. Its current location in the Gold Coast area might be more fitting, though.
“The Gold Coast is a luxury lover’s haven. Charming homes on picture-perfect streets, high-end boutiques, and restaurants favored by celebrities past and present all give this neighborhood its star power,” stated Choose Chicago.
Rivian aspires to provide customers with the best off-roading, outdoor experience in the comfort of modern society through its R1T and R1S electric vehicles EVs. In the past, RJ Scaringe stated that R1 EVs would have a “Patagonia-like feel of enabling adventure.”
The Patagonia brand is well-known for providing durable equipment for outdoor explorers. A pair of shorts at Patagonia can range from $55 to $65 or more. Despite its premium price, however, Patagonia’s products are well-loved by its consumers. Statista estimates that about 15% of outdoor fashion users in the US use Patagonia products.
While Rivian’s Gold Coast showroom is already impressive, it isn’t finished with Chicago yet. In a statement to CoStar News, the company noted it was “still exploring our options” for another space in Chicago. It should be noted that Rivian already has a service center located west of Fulton Market at 2033 W. Walnut St.
Rivian is still ramping up its first two consumer vehicles, the R1T pickup truck and the R1S SUV. Plans are also underway to release the R2 platform, which is expected to be more affordable. Last month, Rivian also announced that it would adopt Tesla’s North American Charging Standard (NACS) for its vehicles. Tesla (NASDAQ: TSLA) has gone live with a link to its Q2 2023 earnings call. All eyes are on Tesla’s electric vehicle margins in the second quarter, as the company achieved record delivery numbers following the adoption of aggressive pricing strategies.
Similar to previous earnings calls, Tesla is also accepting questions from retail and institutional investors that would be asked during the session’s Q&A portion. A link to Say.com’s platform, which allows TSLA investors to post their inquiries to Tesla, is included in the Q3 2023 earnings call live-streams description on YouTube.
Tesla shares are seeing momentum this week after the company announced during the weekend that the first production Cybertruck has been manufactured at Gigafactory Texas. The Cybertruck is highly-anticipated, with estimates suggesting that the vehicle has about 1.7 million pre-orders as of earlier this year.
The electric vehicle maker’s second-quarter production and delivery results were also impressive. Tesla produced nearly 480,000 vehicles and delivered over 466,000 cars from April to June. The lion’s share of these sales were from the Model 3 sedan and Model Y crossover, the company’s two mainstream vehicles.
But while Tesla was able to sell a record number of vehicles worldwide in the second quarter, the company also adopted an aggressive pricing strategy that is expected to affect some of the company’s margins. Thus, while Tesla sold more vehicles than ever, its profit margin per vehicle sold likely declined in Q2.
Tesla is expected to post its financial results for the second quarter of 2023 after markets close on Wednesday, July 19, 2023. The actual earnings call, livestreamed in the link below, is expected to start at 4:30 p.m. Central Time (5:30 p.m. Eastern Time).
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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
