A recent letter from the US Securities and Exchange Commission (SEC) states that Tesla lawyers must still pre-approve Elon Musk’s company-related tweets, even though the billionaire won the case centered on his infamous “funding secured” tweet in 2018.
In a letter to the US Court of Appeals for the 2nd Circuit in New York, the SEC argued that Musk’s earlier settlement with the agency is constitutional and valid. Musk’s settlement followed an SEC investigation into the CEO’s “funding secured” claims in 2018. It was also agreed that tweets containing material Tesla-related information would be reviewed by a lawyer — fondly dubbed the CEO’s “Twitter Sitter” by the internet — before Musk posts them.
Elon Musk’s legal team submitted a brief to a court of appeals in September 2022, seeking relief from what they alleged was a “government-imposed muzzle” that inhibits the CEO’s speech. The appeal came a month after a federal judge denied Musk’s motion to terminate his settlement provision with the SEC.
Earlier this month, a jury found that Elon Musk and Tesla were not liable in a class-action securities fraud trial centered on the CEO’s “funding secured” tweet. Musk’s lawyers then argued earlier this week that the jury verdict should be considered in an appeal against the CEO’s SEC settlement provision.
“In light of the jury finding that Mr. Musk’s tweets did not violate Rule 10b-5, the SEC lacks support both for the consent decree itself and for its arguments on appeal. The verdict provides further reason why the public interest in avoiding unconstitutional settlements easily subsumes the SEC’s purported stake in the consent decree,” Alex Spiro, one of Musk’s lawyers, wrote.
The SEC has responded to Musk’s legal team, arguing that the findings of the jury in a private securities-fraud action does not identify a “pertinent and significant” authority. The SEC also argued that Musk is “reading too much” into his jury verdict.
Following is the SEC’s response.
“Appellant Elon Musk’s letter notifying this Court about a jury verdict in a private securities-fraud action does not identify a ‘pertinent and significant’ authority. Musk waived his opportunity to test the Commission’s allegations at trial when he voluntarily agreed (twice) to a consent judgment. The district court properly rejected his request to alter the judgment because there were no “significant” changes in factual conditions or the law that justified relief under Rule 60(b)(5). Musk asserts that the consent judgment now “lacks support” given “the jury’s finding,” but this is a non-sequitur; the consent judgment was not conditioned upon the outcome of the private litigation.
“Even if the verdict were somehow relevant, Musk reads too much into it. The Commission had no role in that case. Unlike in a Commission action, the private plaintiff had to prove reliance, loss causation, and damages, In re Tesla , Dkt. 655, at 7-17 (jury instructions), and it is unknown whether the verdict turned on elements that would not burden the Commission at trial, id. , Dkt. 671, at 2-3 (verdict form). Moreover, the court instructed the jury to assume that Musk’s tweets “were untrue,” which confirms the discrete point the Commission was making when it referenced the private action in its brief. Id., Dkt. 655, at 7-8.
“Ultimately, the verdict has no bearing on whether the district court correctly declined to grant the extraordinary remedy of altering Musk’s consent judgment years after entry. The verdict says nothing about the continuing public interest in a negotiated settlement term that does not preclude Musk from tweeting accurately about Tesla or other topics, but rather requires Tesla to review Musk’s Tesla-related communications before publication, including through Musk’s Twitter feed—a communication channel designated by Tesla for disclosure. And the verdict does not justify the inapt application of the ‘unconstitutional conditions’ concept to settlements, even if this Court were to overlook Musk’s forfeiture of any arguments regarding that concept,” the SEC wrote.
It remains to be seen whether the court will uphold or dismiss the letter submitted by Musk’s legal team. The appeal is expected to be heard in the spring, although an exact date has not yet been scheduled.
627605104 Letter From US Securities Exchange Commission Feb 22 2023 by Maria Merano on Scribd
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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
