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Tesla FSD Beta update ’10.69’ slated for August 20 release

Credit: CNN/YouTube

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“[Tesla] FSD Beta 10.69 drops on 8/20,” tweeted Elon Musk recently. He was—of course—talking about v.10.13. 

Following his announcement, Musk reiterated: “this release will be big.” During the 2022 Shareholders Roundup, he said that v.10.13 was more like 10.69 because drivers will see significant improvements when the update rolls out. 

“10.13 we’ve been working on for a while and—Actually, what sort of happened is we’ve made some pretty significant architectural improvements, so it’s really gonna be more than 10.12 to 10.13 release. It might—I don’t want to speak too soon—it might qualify for 10.69.” Musk said.

Last month, the Tesla CEO tweeted that users outside of California will notice the improvements to FSD Beta the most. At the Shareholders Roundup, Musk mentioned that FSD Beta 10.13 would tackle left turns and even Chuck’s turn. Leaked release notes of v.10.13 revealed a few more details about the upcoming update, see below. 

  • Improved decision making for unprotected left turns using better estimation of ego’s interaction with other objects through the maneuver. 
  • Improved stopping pose while yielding for crossing objects at “Chuck Cook style” unprotected left turns by utilizing the median safety regions. 
  • Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects. 
  • Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls. 
  • Improved lane position error by 5% and lane recall by 12%…
  • Improved lane position error of crossing and merging lanes by 22% by adding long-range skip connections and a more powerful trunk to the network architecture. 
  • Improved pedestrian and bicyclist velocity error by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network. 
  • Improved animal detection recall by 34% and decreased false positives by 8% by doubling the size of the auto-labeled training set. 
  • Improved detection recall of far away crossing vehicles by 4% by tuning the loss function used during training and improving label quality.
  • Improved the “is parked” attribute for vehicles by 5% by adding 20% more examples to the training set. 
  • Upgraded the occupancy network to detect dynamic objects and improved performance by adding a video module, tuning the loss function, and adding 37k new clips to the training set. 
  • Reduced false slowdowns around crosswalks by better classification of pedestrians and bicyclists as not intending to interact with ego. 
  • Reduced false lane changes for cones or blockages by preferring gentle offsetting in-lane where appropriate. 
  • Improved in-lane positioning on wide residential roads. 
  • Improved object future path prediction in scenarios with high yaw rate. 
  • Improved speed limit sign accuracy on digital speed limits by 29%, on signs with difficult relevance by 23%, on 3-digit speeds by 39%, and on speed limit end signs by 62%. Neural network was trained with 84% more examples in the training set and with architectural changes which allocated more compute in the network head. 

Are you an FSD Beta tester? I’d like to hear about your experience with v.10.13 when it comes out. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.

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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 wins top loyalty and conquest honors in S&P Global Mobility 2025 awards

The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.

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Credit: Tesla Malaysia/X

Tesla emerged as one of the standout winners in the 2025 S&P Global Mobility Automotive Loyalty Awards, capturing top honors for customer retention and market conquest.

The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.

Tesla claims loyalty crown

According to S&P Global Mobility, Tesla secured its 2025 “Overall Loyalty to Make” award following a late-year shift in consumer buying patterns. This marked the fourth consecutive year Tesla has received the honor. S&P Global Mobility’s annual analysis reviewed 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025, as noted in a press release.

In addition to overall loyalty, Tesla also earned the “Highest Conquest Percentage” award for the sixth consecutive year, highlighting the company’s continued ability to attract customers away from competing brands. This achievement is particularly notable given Tesla’s relatively small vehicle lineup, which is largely dominated by just two models: the Model 3 and Model Y.

Ethnic market strength and conquest

Tesla also captured top honors for “Ethnic Market Loyalty to Make,” a category that highlighted especially strong retention among Asian and Hispanic households. According to the analysis, Tesla achieved loyalty rates of 63.6% among Asian households and 61.9% among Hispanic households. These figures exceeded national averages.

S&P Global Mobility executives noted that loyalty margins across categories were exceptionally narrow in 2025, underscoring the significance of Tesla’s wins in an increasingly competitive market. Joe LaFeir, President of Mobility Business Solutions at S&P Global Mobility, shared his perspective on this year’s results.

“For 30 years, this analysis has provided a fact-based measure of brand health, and this year’s results are particularly telling. The data shows the market is not rewarding just one type of strategy. Instead, we see sustained, high-level performance from manufacturers with broad portfolios. In the current market, retaining customers remains a critical performance indicator for the industry,” LaFeir said.

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Elon Musk’s lawsuit against OpenAI and Microsoft is heading to jury trial

The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

OpenAI Inc. and Microsoft will face a jury trial this spring after a federal judge rejected their efforts to dismiss Elon Musk’s lawsuit, which accuses the artificial intelligence startup of abandoning its original nonprofit mission. The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.

As noted in a report from Bloomberg News, a federal judge in Oakland, California, ruled that OpenAI Inc. and Microsoft failed to show that Musk’s claims should be dismissed. U.S. District Judge Yvonne Gonzalez Rogers stated that while the evidence remains unclear, Musk has maintained that OpenAI “had a specific charitable purpose and that he attached two fundamental terms to it: that OpenAI be open source and that it would remain a nonprofit — purposes consistent with OpenAI’s charter and mission.”

Judge Gonzalez Rogers also rejected an argument by OpenAI suggesting that Musk’s use of an intermediary to donate $38 million in seed money to the company stripped him of legal standing. “Holding otherwise would significantly reduce the enforcement of a large swath of charitable trusts, contrary to the modern trend,” Judge Gonzalez Rogers wrote.

The judge also declined to dismiss Musk’s fraud allegations, citing internal OpenAI communications from 2017 involving co-founder Greg Brockman. In an email cited by the judge, fellow OpenAI board member Shivon Zilis informed Musk that Brockman would “like to continue with the non-profit structure.”

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Just two months later, however, Brockman wrote in a private note that he “cannot say that we are committed to the non-profit. don’t want to say that we’re committed. if three months later we’re doing b-corp then it was a lie.”

Marc Toberoff, a member of Musk’s legal team, said Judge Gonzalez Rogers’s ruling confirms that “there is substantial evidence that OpenAI’s leadership made knowingly false assurances to Mr. Musk about its charitable mission that they never honored in favor of their personal self-enrichment.”

OpenAI, for its part, maintained that Musk’s legal efforts are baseless. In a statement, the AI startup said it is looking forward to the upcoming trial. “Mr. Musk’s lawsuit continues to be baseless and a part of his ongoing pattern of harassment, and we look forward to demonstrating this at trial. We remain focused on empowering the OpenAI Foundation, which is already one of the best-resourced nonprofits ever,” OpenAI stated.

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Tesla arsonist who burned Cybertruck sees end of FAFO journey

The man has now reached the “Find Out” stage.

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Credit: U.S. Attorney’s Office, District of Arizona

A Mesa, Arizona man has been sentenced to five years in federal prison for setting fire to a Tesla location and vehicle in a politically motivated arson attack, federal prosecutors have stated. 

The April 2025 incident destroyed a Tesla Cybertruck, endangered first responders, and triggered mandatory sentencing under federal arson laws.

A five-year sentence

U.S. District Judge Diane J. Humetewa sentenced Ian William Moses, 35, of Mesa, Arizona, to 5 years in prison followed by 3 years of supervised release for maliciously damaging property and vehicles by means of fire. Moses pleaded guilty in October to all five counts brought by a federal grand jury. Restitution will be determined at a hearing scheduled for April 13, 2026.

As per court records, surveillance footage showed Moses arriving at a Tesla store in Mesa shortly before 2 a.m. on April 28, 2025, carrying a gasoline can and backpack. Investigators stated that he placed fire starter logs near the building, poured gasoline on the structure and three vehicles, and ignited the fire. The blaze destroyed a Tesla Cybertruck. Moses fled the scene on a bicycle and was arrested by Mesa police about a quarter mile away, roughly an hour later.

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Authorities said Moses was still wearing the same clothing seen on camera at the time of his arrest and was carrying a hand-drawn map marking the dealership’s location. Moses also painted the word “Theif” on the walls of the Tesla location, prompting jokes from social media users and Tesla community members. 

The “Finding Out” stage

U.S. Attorney Timothy Courchaine noted that Moses’ sentence reflects the gravity of his crime. He also highlighted that arson is never acceptable. 

“Arson can never be an acceptable part of American politics. Mr. Moses’ actions endangered the public and first responders and could have easily turned deadly. This five-year sentence reflects the gravity of these crimes and makes clear that politically fueled attacks on Arizona’s communities and businesses will be met with full accountability.”

Maricopa County Attorney Rachel Mitchell echoed the same sentiments, stating that regardless of Moses’ sentiments towards Elon Musk, his actions are not defensible. 

“This sentence sends a clear message: violence and intimidation have no place in our community. Setting fire to a business in retaliation for political or personal grievances is not protest, it is a crime. Our community deserves to feel safe, and this sentence underscores that Maricopa County will not tolerate political violence in any form.”

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