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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Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
