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Tesla, Elon Musk seek dismissal in lawsuit alleging fraud and defamation
Tesla and Elon Musk, jointly named as Defendants with Omar Qazi of the former @tesla_truth Twitter account, have filed a Motion to Dismiss an ongoing lawsuit brought by Plainsite.com owner Aaron Greenspan.
Greenspan, a Tesla short seller often associated with the online “$TSLAQ” community, is seeking an injunction and damages from alleged libelous activity by both Qazi and Musk. He also claims fraudulent communications by Musk and Tesla executives have lead to inflated company stock prices, thereby injuring his financial portfolio via stock purchases made and sold based on those communications. Tesla’s and Musk’s motion for dismissal was made as a separate action from the allegations against Qazi.
The Complaint, initially filed May 20, 2020, and later amended on July 2, 2020, is being litigated in the US Northern District of California, San Francisco Division under docket number 3:20-cv-03426-JD. The Motion to Dismiss was filed on July 31, 2020.

“Plaintiff’s allegations against the Tesla Defendants are not new. Plaintiff has been making the
same unsubstantiated and incendiary accusations—on Twitter, in purported online exposés, and in public and private communications—for years. What is new is Plaintiff’s attempt to transform his conspiracy theories, baseless suspicions, and Internet “research” into a federal lawsuit,” Tesla’s Motion argues against Greenspan’s claims. “Also new is Plaintiff’s apparent view that people should not use hyperbolic language or return his insults on the Internet, and Plaintiff’s claim that Mr. Musk’s dismissive commentary to and about him somehow damaged his reputation.”
The Complaint partly seeks to hold Musk liable for several statements made by Qazi during publicly-aired disagreements with Greenspan, characterizing the CEO’s positive replies to some of Qazi’s online posts as part of a “tag team” effort to discredit him. However, Tesla argues that liability would require a formal agent-type relationship between Qazi and Musk to hold legal weight. “While the [First Amended Complaint] speculates about ties between Mr. Qazi and Mr. Musk, Plaintiff tacitly admits he is not aware of such a relationship, other than alleged interactions on Twitter and in the media,” the Motion argues. Greenspan also cites Qazi’s attendance at a private Tesla event as evidence of an implied connection or common purpose with Musk.
Regarding any defamation claims, substantiated by Greenspan using email replies from Musk as well as Twitter comments in reply to a published article wherein derogatory remarks were made about Greenspan, Tesla’s Motion argues such comments are constitutionally protected opinions. Of particular note in the Complaint’s allegations is a supportive email to Twitter CEO Jack Dorsey sent by Musk purportedly in support of restoring Qazi’s suspended accounts.
“Jack, what Omar is saying is accurate to the best of my knowledge. There has been an
orchestrated and sophisticated attempt to drive down Tesla stock through social media,
particularly Twitter,” Musk wrote.” This always increases around our earnings call, which is this
afternoon. Aaron Greenspan in particular has major issues. He’s the same nut but that claimed he was the founder of Facebook and sued Zuckerberg, among many other things. Never seen anything like it.”
In reference to this cited correspondence, Tesla argues, “As with his other statements, Mr. Musk’s reference to Plaintiff as a “nut but” with “major issues” is nonactionable opinion.”

Most of the all-electric carmaker’s reply in the Motion, though, was focused on a legal defense against the most prevalent claims the Tesla short seller community is most vocal about: The company’s stock prices are artificially inflated due to fraudulent communication regarding their activities.
“As numerous courts have recognized, however, short sellers like Plaintiff…[sell] short because he believes the price of a stock overestimates its true value…whereas the premise of the fraud-on-the-market presumption is that investors rely on the market to reflect a stock’s true value,” Tesla states in their dismissal petition. “Plaintiff does not and could not claim that he relied on any alleged false statements because he believed that Tesla was engaged in fraud during the entire time he was betting against the Tesla stock… Even if Plaintiff could invoke the fraud-on-the market presumption, it would be conclusively rebutted because the Plaintiff plainly…would have bought or sold the stock even had he been aware that the stock’s price was tainted by fraud.”
Ultimately, Greenspan is seeking a declaratory judgment holding Qazi in contempt of court, a permanent injunction preventing further libelous statements against Greenspan in any published medium (written or oral), damages from Defendants’ alleged fraudulent actions to be assessed at time of trial, statutory damages from copyright infringements (over personal photos used as described in the suit), and punitive damages for alleged law breaking. Tesla and Musk, for their part, are seeking to have the case dismissed permanently, i.e., “with prejudice.”
For the average Tesla fan, owner, or stock holder, lawsuits may seem like something to avoid at (nearly) all costs, but Musk does not give the impression he has the same hesitation. The eccentric CEO makes his opinion of short sellers like Greenspan known quite often, and he has even humorously merchandised his ongoing battle by selling bright red “Short Shorts” donning the Tesla logo on the company web store.
With Tesla stocks recently haven risen to a high of $1643 per share, the tensions between the camps will perhaps only continue to rise.
Tesla Motion to Dismiss, Aaron Greenspan by Teslarati on Scribd
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.