News
The SEC’s obsession with Elon Musk’s Twitter is still alive and well
Tesla CEO Elon Musk’s Twitter feed was being questioned by SEC regulators last year, as the agency stated that his social media account had violated a court-ordered policy from a 2018 settlement that would require his Tweets to be pre-approved by company lawyers.
After Musk tweeted that he was interested in taking Tesla stock private at $420 a share in 2018, the SEC alleged that the CEO had committed fraud by communicating a potential buyout of the electric car company. The case was later settled by the SEC, Tesla, and Musk, who was required to pay $20 million in fines. Tesla also was required to pay a penalty of the same amount, and the settlement required Musk’s tweets to be examined and approved before he sent them out. Musk was also required to step down as Tesla’s chairman, a position that he would be ineligible to be re-elected to for three years, the SEC settlement said.
Musk paid the penalties and stepped down as the Chairman of the Board. However, in an interview with 60 Minutes, he admitted that he was not having his tweets regulated by company attorneys and that the First Amendment protected his speech. “Twitter is a warzone,” Musk said. “I do not respect the SEC,” he also said in the interview.
Am considering taking Tesla private at $420. Funding secured.
— Elon Musk (@elonmusk) August 7, 2018
Now, The Wall Street Journal is reporting that it has uncovered several documents from the SEC that indicated that Musk violated the court-ordered pre-approval of his tweets last year. The SEC told Tesla in May 2020 that it had failed “to enforce these procedures and controls despite repeated violations by Mr. Musk.” A former SEC Senior Official named Steven Buchholz signed the letter and stated that Tesla failed to oblige by the settlement that was agreed to.
The WSJ said it obtained the documents through a Freedom of Information Act request.
Musk’s Twitter activity was difficult to regulate. The SEC asked a New York City court to consider holding Musk in contempt of court in February 2019, but the Judge said that the dispute needed to be settled, and the SEC agreed to modify the terms of the settlement. Instead, certain topics would be required for pre-approval and included anything regarding production figures, Tesla’s financials, and potential business ventures. Musk tweeted an update in July 2019 that updated his followers on his expectations for Tesla’s Solar Roof production rate and hoped that the company could manufacture 1,000 units per week by the end of the year.
Spooling up production line rapidly. Hoping to manufacture ~1000 solar roofs/week by end of this year.
— Elon Musk (@elonmusk) July 30, 2019
Tesla told the SEC that the tweet didn’t require approval because it was “wholly aspirational,” meaning that it was just a hope of Musk’s and that production wouldn’t necessarily reach that level. It was a goal, not an update.
Musk then tweeted that “Tesla’s stock price is too high imo” in May 2020, another tweet that put the SEC into the realm of questioning Musk’s Twitter usage. According to the WSJ, Tesla once again didn’t review the tweet because it was Musk’s opinion.
Tesla stock price is too high imo
— Elon Musk (@elonmusk) May 1, 2020
In response to Tesla’s decision not to review the tweet, the SEC wrote (via Wall Street Journal):
“In the face of Mr. Musk’s repeated refusals to submit his covered written communications on Twitter to Tesla for pre-approval, we are very concerned by Tesla’s repeated determinations that there have been no policy violations because of purported carve-outs.”
Tesla’s attorneys said later that month that regulators have attempted to “harass Tesla and silence Mr. Musk” with repeated investigations.
Attorney Alex Spiro was concerned that the SEC was simply targeting Musk. “The serial nature of these investigations leaves us gravely concerned that the SEC is targeting Mr. Musk for an improper purpose,” Spiro wrote.
The SEC requested that Tesla reconsider its positions in the investigations to “prevent further shareholder harm.”
A June 2020 letter from the SEC said:
“We urge the company to reconsider its positions in this matter by acting to implement and enforce disclosure controls and procedures…to prevent further shareholder harm.”
The rivalry between the SEC and Musk continues, it seems, with no real end in sight. Spiro’s claims that the SEC is targeting Musk align with the fact that the agency has repeatedly gone after the Tesla CEO with the basis that he is manipulating stock prices or affecting shareholder integrity. In reality, Musk’s ability to tweet is protected by his First Amendment right, and a shareholder decides to buy or sell a stock, not Musk.
What do you think? Let us know in the comments below, or be sure to email me at joey@teslarati.com or on Twitter @KlenderJoey.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk
Tesla’s Elon Musk gives timeframe for FSD’s release in UAE
Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year.
Tesla CEO Elon Musk stated on Monday that Full Self-Driving (Supervised) could launch in the United Arab Emirates (UAE) as soon as January 2026.
Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year.
Musk’s estimate
In a post on X, UAE-based political analyst Ahmed Sharif Al Amiri asked Musk when FSD would arrive in the country, quoting an earlier post where the CEO encouraged users to try out FSD for themselves. Musk responded directly to the analyst’s inquiry.
“Hopefully, next month,” Musk wrote. The exchange attracted a lot of attention, with numerous X users sharing their excitement at the idea of FSD being brought to a new country. FSD (Supervised), after all, would likely allow hands-off highway driving, urban navigation, and parking under driver oversight in traffic-heavy cities such as Dubai and Abu Dhabi.
Musk’s comments about FSD’s arrival in the UAE were posted following his visit to the Middle Eastern country. Over the weekend, images were shared online of Musk meeting with UAE Defense Minister, Deputy Prime Minister, and Dubai Crown Prince HH Sheikh Hamdan bin Mohammed. Musk also posted a supportive message about the country, posting “UAE rocks!” on X.
FSD recognition
FSD has been getting quite a lot of support from foreign media outlets. FSD (Supervised) earned high marks from Germany’s largest car magazine, Auto Bild, during a test in Berlin’s challenging urban environment. The demonstration highlighted the system’s ability to handle dense traffic, construction sites, pedestrian crossings, and narrow streets with smooth, confident decision-making.
Journalist Robin Hornig was particularly struck by FSD’s superior perception and tireless attention, stating: “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention.” Only one intervention was needed when the system misread a route, showcasing its maturity while relying on vision-only sensors and over-the-air learning.