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Tesla FSD Beta 10.11 release notes tease critical improvements

Credit: @evamcmillan333/Twitter)

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The release notes for Tesla’s Full Self-Driving Beta v10.11 hint at a number of critical improvements for the advanced driver-assist software. Tesla FSD Beta 10.11 is rolling out to Tesla employees for the time being. However, if the system performs well, external users should receive the update within the coming days. 

There are several notable improvements outlined in FSD Beta v10.11’s release notes. Tesla stated that V10.11 utilizes more accurate predictions of where other vehicles are turning or merging, reducing unnecessary slowdowns. The company also stated that V10.11 should improve vehicles’ right-of-way understanding, which should be invaluable in scenarios when maps turn out to be inaccurate.

More importantly, FSD Beta V10.11 featured specific improvements for vulnerable road users (VRU). Tesla notes that the most recent version of FSD Beta should improve VRU detection by 44.9%, allowing the system to dramatically reduce “spurious false positive pedestrians and bicycles.” The company was able to accomplish these VRU improvements by increasing the size of its next-generation labelers. 

Following are FSD Beta v10.11’s release notes. 

Early Access Program | FSD Beta 10.11 

– Upgraded modeling of lane geometry from dense rasters (“bag of points”) to an autoregressive decoder that directly predicts and connects “vector space” lanes point by point using a transformer neural network. This enables us to predict crossing lanes, allows computationally cheaper and less error-prone post-processing, and paves the way for predicting many other signals and their relationships jointly and end-to-end. 

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– Use more accurate predictions of where vehicles are turning or merging to reduce unnecessary slowdowns for vehicles that will not cross our path. 

– Improved right-of-way understanding if the map is inaccurate or the car cannot follow the navigation. In particular, modeling intersection extents is now entirely based on network predictions and no longer uses map-based heuristics. 

– Improved the precision of VRU detections by 44.9%, dramatically reducing spurious false positive pedestrians and bicycles (especially around tar seams, skid marks, and rain drops). This was accomplished by increasing the data size of the next-gen auto-labeler, training network parameters that were previously frozen, and modifying the network loss functions. We find that this decreases the incidence of VRU-related false slowdowns. 

– Reduced the predicted velocity error of very close-by motorcycles, scooters, wheelchairs, and pedestrians by 63.6%. To do this, we introduced a new dataset of simulated adversarial high-speed VRU interactions. This update improves autopilot control around fast-moving and cutting-in VRUs. 

– Improved creeping profile with higher jerk when creeping starts. 

– Improved control for nearby obstacles by predicting continuous distance to static geometry with the general static obstacle network. 

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– Reduced vehicle “parked” attribute error rate by 17%, achieved by increasing the dataset size by 14%. 

– Improved clear-to-go scenario velocity error by 5% and highway scenario velocity error by 10%, achieved by tuning loss function targeted at improving performance in difficult scenarios. 

– Improved detection and control for open car doors. 

– Improved smoothness through turns by using an optimization-based approach to decide which road lines are irrelevant for control given lateral and longitudinal acceleration and jerk limits as well as vehicle kinematics. 

– Improved stability of the FSD Ul visualizations by optimizing the ethernet data transfer pipeline by 15%.

Tesla FSD Beta v10.11 will likely be released as software version number 2022.4.5.15, as per reports from the online electric vehicle community. Tests of v10.11’s performance in real-world roads are typically shared by members of the company’s FSD Beta program within hours of the system’s wide release. 

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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’s mirrorless Cybercab will give riders a visibility upgrade

Tesla engineer confirms Cybercab update letting riders pull up rear and repeater cameras on demand.

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Tesla Cybercab camera visibility for passengers (Credit: Dan Burkland via X)
Tesla Cybercab camera visibility for passengers (Credit: Dan Burkland via X)

Tesla is working on a Cybercab update that would let passengers pull up the vehicle’s rear and side cameras on demand, and the request came straight from a rider.

The exchange played out on X late Friday. Cybercab rider Dan Burkland shared photos of the two-seater’s cabin screen after an evening ride, praised the UI team’s work, and left one request: let riders open the rear and repeater cameras whenever they want, “especially for peace of mind.” Tesla UI software engineer Evan (@CarCoder) answered with two words: “In development.”

The idea fits a pattern Teslarati has tracked since public rides began. Days after paid Cybercab service opened in Austin, Tesla sent riders a survey that asked them to rate the touchscreen, the app and the cabin, and to pick the features they wanted most. We reported on that survey in September, and a camera view is the kind of small software change Tesla can push quickly if riders keep asking.

It also speaks to something unique about the vehicle. With no steering wheel, no pedals and no driver, passengers have no mirror to check and no way to see behind them. The hardware is clearly built for camera awareness, from the repeater cameras to the rear camera. Letting a passenger look through those same cameras would give a nervous first time rider a way to confirm what is around the car.

The timing matters because the fleet is growing fast. Tesla’s Robotaxi account said on Saturday that more than 300 Cybercabs are now serving Austin, an eightfold increase in 30 days, and Tesla AI chief Ashok Elluswamy named Dallas as the next city. More cars and more cities mean more people riding in a driverless vehicle for the first time, which is exactly when small trust features carry weight.

For now, the feature is confirmed only as in development. If Tesla follows its usual pattern with Cybercab software, riders could see it appear in a point release without any announcement, and Teslarati will watch for it.

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Tesla’s Cybercab fleet jumped 8x in a month, with Dallas up next

Tesla confirms its first official Cybercab fleet number as Austin scales fast and Dallas looms.

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Tesla says more than 300 Cybercabs are now serving Austin, the first time the company has put an official number on its active Cybercab fleet. The figure came from the Robotaxi account on X on Saturday, which wrote that one month after launch the service had “scaled to 300+ Cybercabs serving Austin – an 8x increase in 30 days.”

Ashok Elluswamy, Tesla’s head of AI software, quoted the post with a line that carried the bigger news. “Two years since the 10/10 Cybercab WeRobot event, the cabs are everywhere in Austin now. Dallas soon,” he wrote. It is the first time Tesla has named the next city for public Cybercab rides.

Tesla opened Cybercab rides to the public in Austin on September 4, as Teslarati reported, a day after an invite only launch event. The ramp since then has been steep. Our September 28 report had the fleet at well over 100 units after availability jumped from 58 to 125 in a single week. On Thursday, Tesla added 150 Cybercabs to the Texas automated vehicle registry, lifting its registered count to 319 from 169. The first seven appeared on the registry on August 31.

RobotaxiTracker, a community site that counts vehicles from sightings and state records, listed 275 vehicles in unsupervised service in Austin on Saturday, 105 of them Cybercabs, which is well below Tesla’s figure. Tracker counts can lag official numbers, though Sawyer Merritt noted that Cybercab wait times in Austin stayed short on Saturday evening even with more than 2,000 fans in town for X Takeover.

Regulators are watching the rollout. NHTSA opened an audit query into Tesla’s certification that the Cybercab meets federal safety standards, and sworn answers are due October 30. Tesla reports third quarter earnings on October 21, which gives the company a natural venue to define its fleet numbers and put a date on Dallas.

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Elon Musk

Elon Musk roasts India’s billionaire Mukesh Ambani as Starlink fight heats up

Elon Musk sarcastically calls Mukesh Ambani ‘Prime Minister’ as the Starlink India standoff escalates again.

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Elon Musk escalated his public fight over Starlink’s launch in India on Friday, addressing Reliance chairman Mukesh Ambani as “Prime Minister Ambani” in a sarcastic post on X. “Please accept my humble apologies for not realizing that you are the real boss of India,” Musk wrote, before accusing Ambani of “monopolistic exploitation” and asking whether he would “consider allowing Starlink to compete.” In follow up posts, he said Starlink has proven essential during natural disasters and would help parts of India with no internet access.

The post came two days into a fight that Musk sparked up on Wednesday, when he said Starlink was “being blocked by certain oligarchs in order to maintain their monopolistic chokehold on the Indian people.” He called it “a crime against the people of India” and left the names out, adding only, “You can guess who they are.” Jio and Airtel together hold more than 80% of India’s telecom market. On Thursday, Musk asked whether Ambani is “the real boss of India” and said Starlink has spent five years complying with “every single law and requirement” of the Indian government.

India’s government has pushed back each time. The Ministry of Communications called the suggestion that its framework is unfair or discriminatory “baseless and misconceived.” Communications Minister Jyotiraditya Scindia said Friday that three companies hold satcom licenses: Starlink, Jio Satellite Communications, and Bharti backed Eutelsat OneWeb. Amazon’s Kuiper, now Amazon Leo, is still going through the process. None can launch until regulators finalize satellite spectrum pricing and the Home Ministry signs off on each company’s security compliance. Scindia said the telecom regulator and the Department of Telecommunications are close to a decision on pricing, The Hindu reported. Bharti chairman Sunil Mittal also said OneWeb is still waiting on approvals.

Starlink received its operator license in 2025 after a three year wait, and the space regulator IN-SPACe granted what industry executives called the last approval needed in July. The holdup since then centers on security, particularly concern that foreign operators could bypass Indian gateways.

Musk and Ambani have been on opposite sides of this before. In late 2024, Ambani argued for auctioning satellite spectrum, which Musk criticized as out of step with the rest of the world, and India chose administrative allocation instead. By March 2025, the two sides had signed a deal to sell Starlink devices in Reliance stores, and Starlink secured its telecom license that June. That partner is now also a competitor. Jio is reportedly weighing a constellation of 1,600 to 1,650 satellites costing an estimated $10 billion to $15 billion, while Akash Ambani has told shareholders Jio plans to lease capacity from global providers to move quickly.

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