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Read: Tesla’s full cease-and-desist letter to The Dawn Project over its anti-FSD campaign

Credit: @Sentrymostwantd/Twitter

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After weeks of Dan O’Dowd’s The Dawn Project aggressively pushing its new anti-FSD ad, Tesla has sent a cease-and-desist letter demanding that the campaign be stopped immediately. 

A full copy of Tesla’s cease-and-desist letter was recently shared online courtesy of FSD Beta tester @WholeMarsCatalog. As could be seen in the document, Tesla was quite thorough in its arguments against O’Dowd’s anti-FSD campaign. The electric vehicle maker also made it a point to highlight that its vehicles consistently rank among the safest in the industry, as validated by international testing agencies. 

Following is the text of Tesla’s cease-and-desist letter

AUGUST 11, 2022

VIA EMAIL AND OVERNIGHT MAIL 

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Mr. Daniel O’Dowd, Founder and CEO 

The Dawn Project, Inc.

Re: Cease and Desist

Dear Mr. O’Dowd:

It has come to our attention that you, personally, and The Dawn Project have been disparaging Tesla’s commercial interests and disseminating defamatory information to the public regarding the capabilities of Tesla’s Full Self Driving (FSD) (Beta) technology. We demand that you immediately cease and desist further dissemination of all defamatory information, issue a formal public retraction within 24 hours and provide Tesla with the below demanded documentation.

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Californians soundly rejected a political campaign, which was based on the single issue of spreading misinformation about Tesla, with barely 1% of voters in California’s U.S. Senate Race showing support for this platform. Despite the public’s very clear rejection, you and The Dawn Project continue to spread misinformation about Tesla, by falsely claiming that Tesla’s FSD (Beta) technology will not recognize children and by falsely stating that the feature will run over children when it is engaged. The purported tests misuse and misrepresent the capabilities of Tesla’s technology, and disregard widely recognized testing performed by independent agencies as well as the experiences shared by our customers. In fact, unsolicited scrutiny of the methodology behind The Dawn Project’s tests has already (and within hours of you publicly making defamatory allegations) shown that the testing is seriously deceptive and likely fraudulent.

First, to be clear, FSD Beta incorporates safety by design and does recognize pedestrians, including children, and when utilized properly, the system reacts to prevent or mitigate a collision. In addition, every Tesla is equipped with Forward Collision Warning to warn drivers of an impending frontal collision; Automatic Emergency Braking to apply braking when an obstacle is detected that the Tesla may impact; and Obstacle-Aware Acceleration to reduce acceleration when an obstacle ahead is in the driving path.

Second, the totality of these safety features are the reason why Tesla vehicles have earned a reputation for being the safest on the road. Contrary to the obviously results-driven bias of your purported tests, independent safety agencies have rated Tesla’s safety at the highest levels. For example, the Insurance Institute for Highway Safety (IIHS), an independent nonprofit scientific organization dedicated to reducing death and injuries on the roadways, rates current tested Tesla models with “superior” Automatic Emergency Braking for both vehicle-to-pedestrian prevention and vehicle-to-vehicle collisions. Notably, the IIHS conducted tests simulating crossing children for the 2022 Tesla Model 3 and 2022 Tesla Model Y, and in the tests, both models avoided collisions with the child dummies. 

In contrast, your testing and methodology have already received swift and public rebukes from multiple sources. For example, the commercial you released claims that the tests shown were performed with Tesla’s FSD Beta engaged. But Electrek reported that your our own videos clearly show that FSD Beta was not engaged at times. Similarly, Electrek reports that The Dawn Project manipulated its video after being confronted with the defamatory nature of its advertisement. Despite your clear knowledge of the misleading nature of the advertisements, you continue to promote and disseminate these advertisements on multiple mediums.

While you and The Dawn Project purport to advocate for safety, the videos portray unsafe and improper use of FSD Beta and active safety features. Your actions actually put consumers at risk.

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Accordingly, we demand the following:

1. Immediately cease and desist the dissemination of all defamatory advertisements;

2. Immediately remove the videos under the caption “Test Track” from The Dawn Project

website and any website where you or The Dawn Project disseminated a copy;

3. Issue a public retraction of all defamatory and false claims within 24 hours of receipt of this correspondence;

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4. Disclose all sources of funding for the purported “tests” in the commercial, including whether any campaign funds were used or whether you were funded by Tesla’s competitors;

5. Disclose all recognized regulatory agencies that endorsed your testing methodology and/or results.

Furthermore, you and The Dawn Project, including any and all employees, officers, directors, and agents, are hereby placed on notice that Tesla demands that you preserve all documents, including communications, videos, and data, related to your purported tests and advertisements (including print and video) along with any and all communications surrounding the same. Tesla will exercise all legal remedies available to it in the event of your non-compliance with the above and reserves all rights. Please adjust your actions accordingly.

Very truly yours,

Dinna Eskin, Esq. 

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Sr. Director and Deputy General Counsel 

Tesla, Inc.

Cc: The Dawn Project, Inc. Registered Agent

1505 Corporation 

986 

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National Registered Agents, Inc.

While Tesla’s cease-and-desist letter shows that Tesla is dead serious about stopping The Dawn Project’s anti-FSD campaign, Elon Musk himself appears to be taking the events in stride, at least for now. In a response on Twitter, Musk simply posted a couple of emojis suggesting that the whole scenario is “bat sh*t crazy.”

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla FSD v14.2.2 is getting rave reviews from drivers

So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.

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Credit: @BLKMDL3/X

Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others. 

The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.

Owners highlight major improvements

Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.

Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.

Closer to unsupervised

FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.

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According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.

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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.

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Credit: xAI

The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil. 

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.

xAI Integration

As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.

“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release. 

Strategic advantages

The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.

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“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.

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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.

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Credit: Grok Imagine

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:

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  • 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.
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