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Ex-SEC Chair advises Tesla’s Elon Musk to cease attacking the agency: “Stop acting like a child”
Elon Musk’s dislike for the United States Securities and Exchange Commission has been out in the open for several years now, but in a recent interview, former SEC Chairman Harvey Pitt opted to share some choice words with the Tesla CEO. Pitt noted that Musk’s tendency to attack the SEC is “immature and narcissistic.”
Musk is currently looking to purchase Twitter, though the social media company’s Board of Directors has enacted a “poison pill” strategy in an attempt to stop the takeover attempt. Musk’s journey from a Twitter investor to a person attempting to acquire the entire company was not without controversy, however, as his filings with the SEC while he was acquiring his 9.2% stake in the company were late.
In an interview with Yahoo! Finance, former SEC Chairman Harvey Pitt stated that while Elon Musk certainly does not have to like the agency, his dislike for the SEC is just “plain stupid.” When asked by the program’s hosts how he would have dealt with Musk if he were still running the SEC, Pitt noted that he believes the Tesla CEO is his own worst enemy.
“Mr. Musk hates the SEC, and that is his constitutional right. He does not have to like the SEC. But his tactic of thwarting them, attacking them, and so forth is just plain stupid. It doesn’t get anyone anywhere. It’s childish, it’s immature, and it’s narcissistic. I believe he is his own worst enemy. He is obviously a man of great imagination. He has great ideas and concepts. But he needs to stop acting like a child and start acting like an adult. That is the mistake he continues to make with his dealings with the SEC,” Pitt said.
The Tesla CEO’s dislike for the SEC has been front and center as of late, especially following the executive’s TED interview last week. Musk took the time to clarify during his interview that he really had funding secured in 2018 when he was attempting to take Tesla private. Despite knowing this, Musk noted that the SEC decided to pursue an active public investigation anyway. And with banks pushing him to settle with the SEC, Musk noted that he had to concede to the agency. The CEO likened the situation to someone having a gun to the head of their child.
“I should say, originally with Tesla back in the day, funding was actually secured. I want to be clear about that. In fact, this may be a good opportunity to clarify that. If funding was indeed secured and, I should say, why do I not have respect for the SEC in that situation? And I don’t mean to blame everyone at the SEC, but certainly the San Francisco office. Because the SEC knew that the funding was secured, but they pursued an active public investigation nonetheless.
“At the time, Tesla was in a precarious financial situation. And I was told by the banks that if I did not agree to settle with the SEC that they would cease providing working capital, and we would go bankrupt immediately. So that’s like having a gun to your child’s head. So I was forced to concede to the SEC unlawfully. Those bastards. And now it makes it look like I lied when I did not, in fact, lie. I was forced to admit that I lied to save Tesla’s life. And that’s the only reason,” Musk said.
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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.”
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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
