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Tesla FSD’s prolonged release doesn’t make it a ‘fraud,’ company says

(Credit: cosmicxbird/Instagram)

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Tesla Full Self-Driving’s prolonged release doesn’t make it a “fraud,” the company said in a motion to dismiss a case.

Tesla is currently involved in a class-action lawsuit from a few Autopilot and Full Self-Driving customers and has recently filed a motion to dismiss the case with the U.S. District Court in San Francisco. In that motion, a statement was made by Tesla’s attorneys that may have been taken out of context by some media reports.

Teslarati obtained a copy of the motion, and here is what we found.

After some background information on FSD, Tesla noted that each of the plaintiffs purchased a vehicle, and “all but one allegedly purchase the FSDC package.” (FSDC is an acronym for full self-driving capability.)

“Plaintiffs knew at the time of purchase that their cars were not completely autonomous. And they knew that the timeline towards more complete autonomy was contingent upon numerous factors, including software development and regulatory approval. Yet now they sue Tesla, complaining that their cars are not completely autonomous.”

The document noted that four out of five of the named plaintiffs have valid arbitration agreements with Tesla that should be enforced and cover all of their claims. The one plaintiff who opted out “advanced a consolidated complaint riddled with defects, and that should be dismissed.”

The plaintiff “sued too late–five years after he purchased his vehicle and the optional software package, well after any of his claims accrued. All of his claims are time-barred and should be dismissed. Moreover, the hundreds-of-paragraph, narrative complaint fails to support a single cognizable legal theory. The Complaint makes no mention of the parties’ written contract or Tesla’s car warranty. It instead cherry-picks numerous statements allegedly made by Tesla and attempts to manufacture claims for fraud and breach of warranty.”

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Tesla’s attorneys made several statements, including that headline-worthy one regarding FSD and failure. However, the attorneys never claimed that FSD is a failure. In the document, the attorneys pointed out that the complaint “identifies no statement that Tesla made that was fraudulent.”

Additionally, it added that no there was no statement made that Tesla’s vehicles, including those equipped with the FSDC package, were fully autonomous at the time of the Plaintiff’s purchase. Tesla’s website also made it very clear that those vehicles were not.

Tesla’s attorneys noted that the plaintiff allegedly researched Tesla’s online and public statements and reviewed them before buying his vehicles. The labels of “Autopilot,” “Enhanced Autopilot,” or “Full Self-Driving Capability” didn’t mean that the vehicles were fully autonomous. Tesla’s attorneys also noted that Tesla’s user manuals plainly showed this as well.

“Nor would any reasonable consumer purchase a Tesla vehicle with the belief that it is fully autonomous based solely on these labels,” the attorneys said.

Instead, each of the plaintiffs alleged that they  “decided to purchase [his or her] vehicle and the ADAS packages after researching, reviewing, and relying on Tesla’s online and other public statements.”

The plaintiff’s “assertion that Tesla promised the vehicles were already fully autonomous when they were sold rings hollow,” the attorneys stated.

“His assertion that Tesla promised to release completely autonomous capabilities ‘within a reasonable time after,’ his purchase fares no better.”

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“No allegations show that Tesla promised that the FSDC package would enable full autonomy within a specified period of time. Many of the statements quoted in the Complaint did not even concern the FSDC package,” the attorneys said, adding that this makes it irrelevant to the plaintiff’s claims.

“In addition, the quoted statements were also often accompanied by and subject to the qualifier that a release of fully autonomous capabilities to the general public would require government approval, a variable over which Tesla had no control, and that any regulatory clearance would require a vast amount of data to show that completely autonomous driving is significantly safer than human driving.”

The attorneys cited another federal court that said similar statements “do not constitute fraud” because they indicate that Tesla wasn’t making the absolute representation the Plaintiff said he was.

“Same here. Especially under the heightened Rule 9(b) standard, no allegation suggests that the aspirational statements that Tesla did make were, somehow, false when made. See Richardson, 2000 WL.”

“To the contrary, allegations in the Complaint demonstrate that Tesla has been constantly improving its ADAS technology by releasing software updates, with a goal of achieving more and better autonomy capabilities in the future.”

Mere failure to realize a long-term, aspirational goal is not fraud.

In reference to the above statement, the attorneys pointed out that the courts often rejected the argument that a plaintiff can prove the fraudulent intent by pointing to Tesla’s “subsequent failure to perform under the agreement.”

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Since launching the software in 2015, Tesla has made a lot of progress toward FSD and autonomous. Tesla has had two AI Day events explaining the technology being developed and used. And Tesla has since launched an FSD Beta testing program, and you can read the recent Tesla FSD Beta news here.

Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.  

Your feedback is welcome. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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India tells Elon Musk’s X to “Follow the Law” in latest censorship update

Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.

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Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.

On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.

India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.

Elon Musk shares details on X vs. Brazil conflict

The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.

This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.

Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.

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Tesla Cybercab launch preparations have begun

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Credit: TechOperator | X

Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.

A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.

The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.

While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:

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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.

It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.

Tesla starts testing its Starlink-integrated Cybercab on public roads

This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.

This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.

Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.

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Elon Musk says he ‘hopes AI is nice to us’

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elon musk
Credit: Ministério Das Comunicações [CC BY:2.0]

Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.

Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”

Musk’s response was simple: “I hope AI is nice to us.”

The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.

A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.

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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.

Elon Musk breaks silence on OpenAI trial decision

These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.

Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.

He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.

Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.

Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.

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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.

Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.

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