News
Elon Musk’s Boring Company gets shorter operating agreement for LVCC Loop
The Las Vegas Convention and Visitors Authority (LVCVA) recently decided to shorten its operating agreement with Elon Musk’s Boring Company with regards to the operation and maintenance of the Las Vegas Convention Center (LVCC) Loop. The Boring Company currently operates the LVCC Loop, which allows visitors to travel within the Las Vegas Convention Center campus.
The LVCC Loop’s current iteration involves a fleet of Teslas that still require human drivers to travel within the system’s stations, though it is highly speculated that The Boring Company would eventually transition to the use of autonomous vehicles. The LVCC Loop is a simple route, and it would likely be easy for Tesla’s advanced driver-assist systems like Autopilot and Full Self-Driving to navigate the system’s tunnels without any issues.
The LVCVA Board approved the initial LVCC Loop operations and management agreement in January 2021. Back then, the agreement provided an extension for an additional five-year period. Tuesday’s vote changed the five-year extension into a one-year extension, according to a report from the Las Vegas Review-Journal. Board members voted 11-1 to spend up to $4.5 million for a one-year agreement with The Boring Company from July 1, 2022 to June 30, 2023. The LVCVA also has the option to cancel the agreement with a four-month notice.
While this update may seem like a blow to The Boring Company’s LVCC Loop, LVCVA Chief Financial Officer Ed Finger highlighted that the system has met the board and customers’ expectations. Finger noted that when the tunnel system started operations in May, the LVCVA gave the system a budget of $4.25 million to maintain a fleet of Tesla vehicles with drivers. For the fiscal year, the convention authority spent just under $4 million, though costs are expected to rise in the year ahead as trade shows and conventions are held on the site once more.
“The system has met our expectations and our customers’ expectations,” Finger stated.
LVCVA President and CEO Steve Hill has noted that the costs of the LVCC Loop can be decreased if The Boring Company uses autonomous driving solutions. The buildout of the much more extensive Vegas Loop would likely help reduce the operating costs of the Convention Center tunnels as well. The Vegas Loop is expected to feature 18 miles of tunnels and 51 planned stations, with stops in popular locations such as Resorts World, the Harry Reid International Airport, and Allegiant Stadium, to name a few.
So far, the LVCC Loop is designed to accommodate 4,400 passengers per hour. During CES 2022 earlier this year, the LVCVA informed Teslarati that the LVCC Loop had been able to transport 15,000 to 17,000 passengers around the Convention Center’s campus daily. The LVCC Loop’s performance during the SEMA Show in November 2021 was even more impressive, as the system was able to move 25,000 to 27,000 passengers daily. The Vegas Loop’s target is much more ambitious, with the system aiming to accommodate 57,000 commuters an hour.
*Quotes courtesy of the Las Vegas Review-Journal.
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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
