News
Tesla Top 5 Week in Review: Utah Bans Tesla Sales, Controversy Over Drivers Data, Model 3 Sensors, and More
What a week it was for Tesla! Reaching all-time trading highs was certainly an achievement to celebrate. So, too, was the 2017 Q1 earnings report, in which Tesla excelled in deliveries versus same month, previous year. Teslarati gets the first scoop a Model 3 release candidate in the wild, with reports of new sensors being spotted. Tesla’s company practice of divulging individual driver data became a contested topic, as did the Utah Supreme Court’s decision to prohibit Tesla direct sales to customers. Here are those stories and more on our Teslarati Top 5 Week in Review.
Tesla steamrolls US automakers to become #1 by market cap
Source: Courtesy Yahoo Finance
Tesla, Inc. (TSLA) stock, which had previously traded at $280 in February, achieved its all-time high this week, up from the March 31, 2017 close of market mark of $291.74. Tesla’s performance pushed the company’s market capitalization past that of Ford for the first time ever. Ford’s market capitalization at about $44.8 billion stood just about $3 billion under Tesla’s. Next in line for Tesla is GM’s $51.4 billion market cap. Tesla sold only a fraction of Ford’s 6.7 million cars and GM’s 10 million cars in 2016; both offer investors the comfort of healthy balance sheets and steady profits. However, Tesla investors seem willing to hold out for the company’s future potential for still higher growth ahead. Historical malaise over missed delivery targets may be dissipating.
Tesla delivers a record 25,000 Model S, X in Q1 2017, 69% increase over Q1 2016
With Model S deliveries at 3,450 and Model X deliveries at 11,550, Tesla achieved a new quarterly record to start 2017. Selling just over 25,000 vehicles in Q1 represented a 69% increase over the same month, Q1 2016. Tesla argues that vehicle deliveries symbolize only one measure of the company’s financial performance; quarterly financial results, they say, depend on a variety of factors, including the cost of sales, foreign exchange movements, and mix of directly leased vehicles.
New sensors spotted on Tesla Model 3: Autopilot 2.0 could have 10 cameras
Up until Tuesday, the Model 3 was assumed to have eight cameras: three facing forwards, two in the B-pillar between the front and rear doors, two in the front fenders, and one in the rear by the hatch latch. (Radar and ultrasonic sensors will also provide the computer with contextual data.) The recent sighting indicates that two additional sensors are located by the C-pillars between the rear door and back. This is significant because Tesla CEO Elon Musk has repeatedly stated that the Model 3 design is meant to include autonomous driving. With a dashboard that lacks a speedometer on the driver’s side and, instead, will fade in and out of opacity on the central control screen, the Model 3 technology evolution will be fascinating. Its sensors and cameras will provide crucial data about the vehicle’s surroundings, bringing the future to today.
Tesla defends its right to release individual driver data to disprove claims
Tesla’s company policies about owner privacy has been under scrutiny this week, with accusations that it divulges drivers’ performance information in order to protect its self-driving car technology. Unlike other research institutions, Tesla does not acquire permission from its drivers, who are supplying data about self-driving technology system responses. Moreover, while the company has disseminated specific driver information to the media following crashes, it has refused thus far to share that same data with the drivers. Some accidents involving Tesla all-electric vehicles have involved the Tesla Autopilot system, but in 2016 the U.S. National Highway Traffic Safety Administration cleared Tesla of any wrong-doing in a fatal crash in which Autopilot was engaged.
Tesla loses 5-0 battle in Utah over right to sell direct to consumers
The Utah Supreme Court this week has upheld a previous ruling which prohibits Tesla and other automakers from selling directly to customers. Tesla contested Utah’s claim of manufacturers and dealer owners being one and the same, saying its direct sales to customers distinguish it from independent dealerships. In essence, the Utah Supreme Court justices chose not to address when Utah law does or does not block an automaker from direct sales.
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
