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SEC continues to argue for Elon Musk’s “Twitter sitter” deal

Credit: TED/YouTube

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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. 

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“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. 

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“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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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla announces crazy new Full Self-Driving milestone

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

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Credit: Tesla

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

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Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

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Tesla Cybercab production begins: The end of car ownership as we know it?

While this could unlock unprecedented mobility abundance — cheaper rides, reduced congestion, freed-up urban space, and massive environmental gains — it risks massive job displacement in ride-hailing, taxi services, and related sectors, forcing society to confront whether the benefits of AI-driven autonomy will outweigh the human costs.

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Credit: Tesla | X

The first Tesla Cybercab rolled off of production lines at Gigafactory Texas yesterday, and it is more than just a simple manufacturing milestone for the company — it’s the opening salvo in a profound economic transformation.

Priced at under $30,000 with volume production slated for April, the steering-wheel-free, pedal-less Robotaxi-geared vehicle promises to make personal car ownership optional for many, slashing transportation costs to as little as $0.20 per mile through shared fleets and high utilization.

While this could unlock unprecedented mobility abundance — cheaper rides, reduced congestion, freed-up urban space, and massive environmental gains — it risks massive job displacement in ride-hailing, taxi services, and related sectors, forcing society to confront whether the benefits of AI-driven autonomy will outweigh the human costs.

Let’s examine the positives and negatives of what the Cybercab could mean for passenger transportation and vehicle ownership as we know it.

The Promise – A Radical Shift in Transportation Economics

Tesla has geared every portion of the Cybercab to be cheaper and more efficient. Even its design — a compact, two-seater, optimized for fleets and ride-sharing, the development of inductive charging, around 300 miles of range on a small battery, half the parts of the Model 3, and revolutionary “unboxed” manufacturing — is all geared toward rapid production.

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Operating at a fraction of what today’s rideshare prices are, the Cybercab enables on-demand autonomy for a variety of people in a variety of situations.

Tesla ups Robotaxi fare price to another comical figure with service area expansion

It could also be the way people escape expensive and risky car ownership. Buying a vehicle requires expensive monthly commitments, including insurance and a payment if financed. It also immediately depreciates.

However, Cybercab could unlock potential profitability for owning a car by adding it to the Robotaxi network, enabling passive income. Cities could have parking lots repurposed into parks or housing, and emissions would drop as shared electric vehicles would outnumber gas cars (in time).

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The first step of Tesla’s massive production efforts for the Cybercab could lead to millions of units annually, turning transportation into a utility like electricity — always available, cheap, and safe.

The Dark Side – Job Losses and Industry Upheaval

With Robotaxi and Cybercab, they present the same negatives as broadening AI — there’s a direct threat to the economy.

Uber, Lyft, and traditional taxis will rely on human drivers. Robotaxi will eliminate that labor cost, potentially displacing millions of jobs globally. In the U.S. alone, ride-hailing accounts for billions of miles of travel each year.

There are also potential ripple effects, as suppliers, mechanics, insurance adjusters, and even public transit could see reduced demand as shared autonomy grows. Past automation waves show job creation lags behind destruction, especially for lower-skilled workers.

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Gig workers, like those who are seeking flexible income, face the brunt of this. Displaced drivers may struggle to retrain amid broader AI job shifts, as 2025 estimates bring between 50,000 and 300,000 layoffs tied to artificial intelligence.

It could also bring major changes to the overall competitive landscape. While Waymo and Uber have partnered, Tesla’s scale and lower costs could trigger a price war, squeezing incumbents and accelerating consolidation.

Balancing Act – Who Wins and Who Loses

There are two sides to this story, as there are with every other one.

The winners are consumers, Tesla investors, cities, and the environment. Consumers will see lower costs and safer mobility, while potentially alleviating themselves of awkward small talk in ride-sharing applications, a bigger complaint than one might think.

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Elon Musk confirms Tesla Cybercab pricing and consumer release date

Tesla investors will be obvious winners, as the launch of self-driving rideshare programs on the company’s behalf will likely swell the company’s valuation and increase its share price.

Cities will have less traffic and parking needs, giving more room for housing or retail needs. Meanwhile, the environment will benefit from fewer tailpipes and more efficient fleets.

A Call for Thoughtful Transition

The Cybercab’s production debut forces us to weigh innovation against equity.

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If Tesla delivers on its timeline and autonomy proves reliable, it could herald an era of abundant, affordable mobility that redefines urban life. But without proactive policies — retraining, safety nets, phased deployment — this revolution risks widening inequality and leaving millions behind.

The real question isn’t whether the Cybercab will disrupt — it’s already starting — it’s whether society is prepared for the economic earthquake it unleashes.

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Tesla Model 3 wins Edmunds’ Best EV of 2026 award

The publication rated the Model 3 at an 8.1 out of 10, and with its most recent upgrades and changes, Edmunds says, “This is the best Model 3 yet.”

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Credit: Tesla

The Tesla Model 3 has won Edmunds‘ Top Rated Electric Car of 2026 award, beating out several other highly-rated and exceptional EV offerings from various manufacturers.

This is the second consecutive year the Model 3 beat out other cars like the Model Y, Audi A6 Sportback E-tron, and the BMW i5.

The car, which is Tesla’s second-best-selling vehicle behind the popular Model Y crossover, has been in the company’s lineup for nearly a decade. It offers essentially everything consumers could want from an EV, including range, a quality interior, performance, and Tesla’s Full Self-Driving suite, which is one of the best in the world.

The publication rated the Model 3 at an 8.1 out of 10, and with its most recent upgrades and changes, Edmunds says, “This is the best Model 3 yet.”

In its Top Rated EVs piece on its website, it said about the Model 3:

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“The Tesla Model 3 might be the best value electric car you can buy, combining an Edmunds Rating of 8.1 out of 10, a starting price of $43,880, and an Edmunds-tested range of 338 miles. This is the best Model 3 yet. It is impressively well-rounded thanks to improved build quality, ride comfort, and a compelling combination of efficiency, performance, and value.”

Additionally, Jonathan Elfalan, Edmunds’ Director of Vehicle Testing, said:

“The Model 3 offers just about the perfect combination of everything — speed, range, comfort, space, tech, accessibility, and convenience. It’s a no-brainer if you want a sensible EV.”

The Model 3 is the perfect balance of performance and practicality. With the numerous advantages that an EV offers, the Model 3 also comes in at an affordable $36,990 for its Rear-Wheel Drive trim level.

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