News
Trevor Milton’s indictment should set precedent for other CEOs
This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
Earlier this week, former Nikola CEO Trevor Milton was indicted on two counts of securities fraud and one count of wire fraud, after misleading investors about the financial condition and basically every facet of Nikola’s operation. The indictments come after months of silence from Milton, who has basically disappeared into thin air following his resigning as Nikola’s CEO. The announcement of Milton’s charges, which were carried out by the U.S. Attorney Southern District of New York’s office, will set precedent for CEOs moving forward, especially for those who have announced major breakthroughs in electric vehicle technology without releasing any relevant products.
For the last 13 years, Tesla has combated companies and automakers that have set forth a path to dethrone the electric car entity from its post as the best EV maker in the world. However, Tesla has never been even remotely challenged by an all-electric car company that has been established in recent memory. Most likely, this is due to Tesla’s domination of the electric vehicle sector in nearly every category, including battery tech, software, vehicle design, and autonomy.
Nikola founder Trevor Milton indicted on three counts of fraud
This has not stopped CEOs of other automakers from making outlandish claims with their vehicles, and Milton was just one of many. Since the 2018 lawsuit that Nikola filed against Tesla for allegedly taking design ideas from the Nikola One and implementing them into the Tesla Semi, it seems Milton has been the only CEO to actually convince some people that their product is meaningful and groundbreaking, despite not having much of a product at all. Considering Nikola admittedly misled shareholders about the capabilities of its all-electric commercial vehicle, there should be a hint to the CEOs of the companies that do and will exist in the future: don’t lie about your product, and don’t incite shareholders to believe something that is true.
This point should be common sense and should be evidently clear, but it is something that should set other CEOs of emerging automakers to tread carefully with their words and claims. Taking advantage of a highly marketable and quickly growing EV sector requires a strategic entrance into the market. Lying about the capabilities of what your vehicles might be able to do in the future, simply is not a great move. Over time, things may be established and successful with the dedication and hard work of teams of engineers and others. But until that day, it may be best to stop claiming things about the product, and simply release some kind of evidence that the company is not “an intricate fraud,” as Hindenburg Research called it.
When companies can effectively manufacture a product worth value and prove to people, especially shareholders, that they are for real about entering the sector, there is a significant amount of respect that heads toward the entity that came through. Skepticism is a commonly displayed trait, especially in the electric vehicle sector, because so many companies have come and gone, setting up their own expectations that are quite lofty, only to come short. This inevitably leaves many EV enthusiasts, especially Tesla owners and fans, feeling let down for what could eventually come.
Without a doubt, there will be some people that will inevitably take advantage of excited investors who are passionate about the possibility of sustainable energy and transportation. Based on the allegations set forth by the U.S. Department of Justice against Milton, he is one of those individuals and this statement could be proven in a federal courtroom in the coming months. “The one thing fraudsters have in common – they’re liars, cheaters, and thieves,” Inspector-in-Charge Phillip R. Bartlett said. He added that if an investment opportunity seems too good to be true, it probably is.
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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
