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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. 

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  • 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.

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 showcases Optimus humanoid robot at AWE 2026 in Shanghai

Tesla’s humanoid robot was presented as part of the company’s exhibit at the Shanghai electronics show.

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Credit: Tesla/YouTube

Tesla showcased its Optimus humanoid robot at the 2026 Appliance & Electronics World Expo (AWE 2026) in Shanghai. The event opened Thursday and featured several Tesla products, including the company’s humanoid robot and the Cybertruck.

The display was reported by CNEV Post, citing information from local media outlet Cailian and on-site staff at the exhibition.

Tesla’s humanoid robot was presented as part of the company’s exhibit at the Shanghai electronics show. On-site staff reportedly stated that mass production of the robot could begin by the end of 2026.

Tesla previously indicated that it plans to manufacture its humanoid robots at scale once production begins, with its initial production line in the Fremont Factory reaching up to 1 million units annually. An Optimus production line at Gigafactory Texas is expected to produce 10 million units per year. 

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Tesla China previously shared a teaser image on Weibo showing a pair of highly detailed robotic hands believed to belong to Optimus. The image suggests a design with finger proportions and structures that closely resemble those of a human hand.

Robotic hands are widely considered one of the most difficult engineering challenges in humanoid robotics. For a system like Optimus to perform complex real-world tasks, from factory work to household activities, the robot would require highly advanced dexterity.

Elon Musk has previously stated that Optimus has the capability to eventually become the first real-world example of a Von Neumann machine, a self-replicating system capable of building copies of itself, even on other planets. “Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet,” Musk wrote in a post on X.

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Tesla Cybercab production line is targeting hundreds of vehicles weekly: report

According to the report, Tesla has been adding staff and installing new equipment at its Austin factory as it prepares to begin Cybercab production. 

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Credit: Tesla/X

Tesla is reportedly designing its Cybercab production line to manufacture hundreds of the autonomous vehicles each week once mass production begins. The effort is underway at Gigafactory Texas in Austin as the company prepares to start building the Robotaxi at scale.

The details were reported by The Wall Street Journal, citing people reportedly familiar with the matter.

According to the report, Tesla has been adding staff and installing new equipment at its Austin factory as it prepares to begin Cybercab production. 

People reportedly familiar with Tesla’s plans stated that the company has been growing its staff and bringing in new equipment to start the mass production of the Cybercab this April.

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The Cybercab is Tesla’s upcoming fully autonomous two-seat vehicle designed without a steering wheel or pedals. The vehicle is intended to operate primarily as part of Tesla’s planned Robotaxi ride-hailing network. 

“There’s no fallback mechanism here. Like this car either drives itself or it does not drive,” Musk stated during Tesla’s previous earnings call.

Tesla has indicated that Cybercab production could begin as soon as April, though Elon Musk has noted that early production will likely be slow before ramping over time. Musk has stated that the Cybercab’s slow ramp is due in no small part to the fact that it is a completely new vehicle platform

Tesla’s Cybercab is designed to work with the company’s Full Self-Driving (FSD) system and support its planned autonomous ride-hailing service. The company has suggested that the vehicle could cost under $30,000, making it one of Tesla’s most affordable models if produced at scale. Musk has confirmed in a previous X post that the vehicle will indeed be offered to regular consumers at a price below $30,000. 

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Musk has previously stated that Tesla could eventually produce millions of Cybercabs annually if demand and production capacity scale as planned.

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Tesla VP explains latest updates in trade secret theft case

Tesla reportedly caught Matthews copying the tech into machines that were sold to competitors, claiming they lied about doing so for three years, and continued to ship it. That is when Tesla chose to sue Matthews in July 2024 in Federal court, demanding over $1 billion in damages due to trade secret theft.

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tesla 4680
Credit: Tesla Inc.

Tesla Vice President Bonne Eggleston explained the latest updates in a trade secret theft case the company has against a former manufacturing equipment supplier, Matthews International.

Back in 2024, Tesla had filed a lawsuit against Matthews International, alleging that the firm stole trade secrets about battery manufacturing and shared those details with some of Tesla’s competitors.

Early last year, a U.S. District Court Judge denied Tesla’s request to block Matthews International from selling its dry battery electrode (DBE) technology across the world. The judge, Edward Davila, said that the patent for the tech was due to Matthews’ “extensive research and development.”

Tesla is suing a former supplier for trade secret theft

The two companies’ relationship began back in 2019, as Tesla hired Matthews to help build the equipment for its 4680 battery cell. Tesla shared confidential software, designs, and know-how under strict secrecy rules.

Fast forward a few years, and Tesla reportedly caught Matthews copying the tech into machines that were sold to competitors, claiming they lied about doing so for three years, and continued to ship it. That is when Tesla chose to sue Matthews in July 2024 in Federal court, demanding over $1 billion in damages due to trade secret theft.

Now, the latest twist, as this month, a Judge issued a permanent injunction—a court order banning Matthews from using certain stolen Tesla parts or designs in their machines. Matthews is also officially “liable” for damages. The exact amount would still to be calculated later.

Bonne Eggleston, a VP for Tesla, said on X today that Matthews is a supplier who “exploited customer IP through theft or deception,” and has no place in Tesla’s ecosystem:

Tesla calls this a big win and warns other companies: “Buyer beware—don’t buy from thieves.”

Matthews hit back with a press release claiming victory. They say an arbitrator ruled they can keep selling their own DBE equipment to anyone and rejected Tesla’s request for a total sales ban. They call Tesla’s claims “nonsense” and insist their 20-year-old tech is independent. Both sides are spinning the same narrow ruling: Matthews can sell their version, but they’re blocked from using Tesla’s specific secrets.

What are Tesla’s Current Legal Options

The case isn’t over—it’s moving to the damages phase. Tesla can:

  • Push forward in court or arbitration to calculate and collect huge financial penalties (potentially $1 billion+ if willful theft is proven).
  • Enforce the permanent injunction with contempt charges, fines, or even jail time if Matthews violates it.
  • Challenge Matthews’ new patents that allegedly copy Tesla’s work, asking courts to invalidate them or add Tesla as co-inventor.
  • Seek extra damages, lawyer fees, and possibly punitive awards under the federal Defend Trade Secrets Act and California law.

Tesla could also refer evidence to federal prosecutors for possible criminal trade-secret charges (rare but serious). Settlement is always possible, but Tesla’s fiery public response suggests they want full accountability.

This isn’t just corporate drama. It shows why trade secrets matter even when Tesla open-sources some patents, confidential know-how shared in trust must stay protected. For the EV industry, it’s a reminder: steal from your biggest customer, and you risk losing everything.

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