News
New Jersey Votes on Anti-Tesla Laws
The community has spoken. A global audience of Tesla owners and supporters rally to block an Anti-Tesla proposal by the New Jersey Motor Vehicle Commission (NJMVC) that would prevent the automaker from selling direct to consumers within the state.
Live coverage of the event in Trenton, New Jersey is being broadcasted by Transport Evolved.
Source: Tesla Motors:
“Since 2013, Tesla Motors has been working constructively with the New Jersey Motor Vehicle Commission (NJMVC) and members of Governor Christie’s administration to defend against the New Jersey Coalition of Automotive Retailers’ (NJ CAR) attacks on Tesla’s business model and the rights of New Jersey consumers. Until yesterday, we were under the impression that all parties were working in good faith.
Unfortunately, Monday we received news that Governor Christie’s administration has gone back on its word to delay a proposed anti-Tesla regulation so that the matter could be handled through a fair process in the Legislature. The Administration has decided to go outside the legislative process by expediting a rule proposal that would completely change the law in New Jersey. This new rule, if adopted, would curtail Tesla’s sales operations and jeopardize our existing retail licenses in the state. Having previously issued two dealer licenses to Tesla, this regulation would be a complete reversal to the long standing position of NJMVC on Tesla’s stores. Indeed, the Administration and the NJMVC are thwarting the Legislature and going beyond their authority to implement the state’s laws at the behest of a special interest group looking to protect its monopoly at the expense of New Jersey consumers. This is an affront to the very concept of a free market.
Proposal PRN 2013-138 seeks to impose stringent licensing rules that would, among other things, require all new motor vehicles to be sold through middlemen and block Tesla’s direct sales model. This move comes in spite of discussions with the Governor’s staff as recently as January, when it was agreed that Tesla and NJ CAR would address their issues in a more public forum: the New Jersey Legislature. Instead, rather than engage in an open debate on such a significant policy issue, the Administration has expedited the implementation of a new law that the Commission intends to stealthily approve at a meeting in Trenton today at 2:00 PM EDT.
We are disappointed in the actions of the NJMVC and the Christie Administration, which come on the heels of more than nine months of unexplained delays in the issuing of a new sales license for Tesla, despite our numerous requests, calls, and letters. In addition, the NJMVC has also delayed the annual renewal of Tesla’s current dealer licenses without indication of the cause of the delay. The delays have handicapped Tesla in New Jersey, where, without clear licensing procedures and fair enforcement of existing law, we have been forced to delay our growth plans. This is an issue that affects not just Tesla customers, but also New Jersey citizens at large, because Tesla would be unable to create new jobs or participate in New Jersey’s economic revival.
At the same time, neither Tesla nor the taxpayers of New Jersey have been able to participate in any of the analysis or been granted a hearing as requested last year when this was first proposed. Despite being the subject of the regulation, we were only able to obtain information about today’s meeting with less than 24 hours notice and in direct contravention of assurances by the Governor.
We strongly believe it is vital to introduce our own vehicles to the market because electric cars are still a relatively new technology. This model is not just a matter of selling more cars and providing optimum consumer choice for Americans, but it is also about educating consumers about the benefits of going electric, which is central to our mission to accelerate the shift to sustainable transportation, a new paradigm in automotive technology.
We urge the Christie administration to act in good faith and withdraw the proposed amendment, or amend it so that it reflects the true intent of the Legislature and the people of New Jersey.”
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
