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Tesla’s Elon Musk predicts improvement in roundabouts for FSD Beta

Image Credit: Dirty Tesla/YouTube

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Tesla CEO Elon Musk recently noted that FSD Beta’s performance on roundabouts would see a notable improvement in the near future. The executive’s comment was posted on Twitter. 

Tesla’s FSD Beta program has been ongoing for some time now. And considering that Tesla typically attracts the attention of social media users, a good number of FSD Beta testers have taken it upon themselves to document the real-world performance of the company’s advanced driver-assist system through its iterations. 

Among these testers is the host of the Dirty Tesla YouTube channel, which has been using FSD Beta for some time now. In a post on Twitter, the longtime FSD Beta tester observed that while version 11.4.3 felt very good overall with great highway merging, the update still performed poorly in roundabouts. The update also reportedly stopped too far back at stop signs. 

While a number of FSD Beta testers responded by stating that roundabouts work fine on their vehicles, other users of the system agreed that roundabouts still need improvements. Others, including longtime FSD Beta users, also stated that their vehicles showed a tendency to stop too far back at the stop sign every so often with FSD Beta V11.4.3. 

Elon Musk responded to the FSD Beta user’s comment, noting that improvements are coming to the system’s roundabout performance. “Roundabouts will get great soon,” Musk wrote, to much appreciation from users of the social media platform. 

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Unlike geofenced driverless solutions such as those adopted by companies like Cruise and Waymo, Tesla’s Autopilot and Full Self-Driving Beta is designed to work on any road. This is a far more challenging endeavor, though it is one that would likely help Tesla scale its technology quickly once it’s ready to be released to public roads globally. As such, the system definitely has to behave similar to — or even better than — an alert human driver. 

Interestingly enough, this is not the first time that Elon Musk announced improvements for FSD Beta’s performance on roundabouts. Last year, Musk noted that Tesla was working hard on roundabouts. “We’re going deep on roundabouts! Should get noticeably better with 10.13,” Musk wrote. As observed by FSD Beta users online, the system’s roundabout performance did improve following Musk’s announcement, though it still has areas of improvements today.

Watch Dirty Tesla‘s recent FSD Beta V11.4.3 real-world test in the video below.

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 takes a step towards removal of Robotaxi service’s safety drivers

Tesla watchers are speculating that the implementation of in-camera data sharing could be a step towards the removal of the Robotaxi service’s safety drivers.

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Credit: Tesla

Tesla appears to be preparing for the eventual removal of its Robotaxi service’s safety drivers. 

This was hinted at in a recent de-compile of the Robotaxi App’s version 25.11.5, which was shared on social media platform X. 

In-cabin analytics

As per Tesla software tracker @Tesla_App_iOS, the latest update to the Robotaxi app featured several improvements. These include Live Screen Sharing, as well as a feature that would allow Tesla to access video and audio inside the vehicle. 

According to the software tracker, a new prompt has been added to the Robotaxi App that requests user consent for enhanced in-cabin data sharing, which comprise Cabin Camera Analytics and Sound Detection Analytics. Once accepted, Tesla would be able to retrieve video and audio data from the Robotaxi’s cabin. 

Video and audio sharing

A screenshot posted by the software tracker on X showed that Cabin Camera Analytics is used to improve the intelligence of features like request support. Tesla has not explained exactly how the feature will be implemented, though this might mean that the in-cabin camera may be used to view and analyze the status of passengers when remote agents are contacted.

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Sound Detection Analytics is expected to be used to improve the intelligence of features like siren recognition. This suggests that Robotaxis will always be actively listening for emergency vehicle sirens to improve how the system responds to them. Tesla, however, also maintained that data collected by Robotaxis will be anonymous. In-cabin data will not be linked to users unless they are needed for a safety event or a support request. 

Tesla watchers are speculating that the implementation of in-camera data sharing could be a step towards the removal of the Robotaxi service’s safety drivers. With Tesla able to access video and audio feeds from Robotaxis, after all, users can get assistance even if they are alone in the driverless vehicle. 

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Investor's Corner

Mizuho keeps Tesla (TSLA) “Outperform” rating but lowers price target

As per the Mizuho analyst, upcoming changes to EV incentives in the U.S. and China could affect Tesla’s unit growth more than previously expected.

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Credit: Tesla China

Mizuho analyst Vijay Rakesh lowered Tesla’s (NASDAQ:TSLA) price target to $475 from $485, citing potential 2026 EV subsidy cuts in the U.S. and China that could pressure deliveries. The firm maintained its Outperform rating for the electric vehicle maker, however. 

As per the Mizuho analyst, upcoming changes to EV incentives in the U.S. and China could affect Tesla’s unit growth more than previously expected. The U.S. accounted for roughly 37% of Tesla’s third-quarter 2025 sales, while China represented about 34%, making both markets highly sensitive to policy shifts. Potential 50% cuts to Chinese subsidies and reduced U.S. incentives affected the firm’s outlook.

With those pressures factored in, the firm now expects Tesla to deliver 1.75 million vehicles in 2026 and 2 million in 2027, slightly below consensus estimates of 1.82 million and 2.15 million, respectively. The analyst was cautiously optimistic, as near-term pressure from subsidies is there, but the company’s long-term tech roadmap remains very compelling. 

Despite the revised target, Mizuho remained optimistic on Tesla’s long-term technology roadmap. The firm highlighted three major growth drivers into 2027: the broader adoption of Full Self-Driving V14, the expansion of Tesla’s Robotaxi service, and the commercialization of Optimus, the company’s humanoid robot. 

“We are lowering TSLA Ests/PT to $475 with Potential BEV headwinds in 2026E. We believe into 2026E, US (~37% of TSLA 3Q25 sales) EV subsidy cuts and China (34% of TSLA 3Q25 sales) potential 50% EV subsidy cuts could be a headwind to EV deliveries. 

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“We are now estimating TSLA deliveries for 2026/27E at 1.75M/2.00M (slightly below cons. 1.82M/2.15M). We see some LT drivers with FSD v14 adoption for autonomous, robotaxi launches, and humanoid robots into 2027 driving strength,” the analyst noted. 

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Tesla’s Elon Musk posts updated Robotaxi fleet ramp for Austin, TX

Musk posted his update on social media platform X.

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Credit: @AdanGuajardo/X

Elon Musk says Tesla will “roughly double” its supervised Robotaxi fleet in Austin next month as riders report long wait times and limited availability across the pilot program in the Texas city. Musk posted his update on social media platform X.

The move comes as Waymo accelerates its U.S. expansion with its fully driverless freeway service, intensifying competition in autonomous mobility.

Tesla to increase Austin Robotaxi fleet size

Tesla’s Robotaxi service in Austin continues to operate under supervised conditions, requiring a safety monitor in the front seat even as the company seeks regulatory approval to begin testing without human oversight. The current fleet is estimated at about 30 vehicles, StockTwists noted, and Musk’s commitment to doubling that figure follows widespread rider complaints about limited access and “High Service Demand” notifications.

Influencers and early users of the Robotaxi service have observed repeated failures to secure a ride during peak times, highlighting a supply bottleneck in one of Tesla’s most visible autonomy pilots. The expansion aims to provide more consistent availability as the company scales and gathers more real-world driving data, an advantage analysts often cite as a differentiator versus rivals. 

Broader rollout plans

Tesla’s Robotaxi service has so far only been rolled out to Austin and the Bay Area, though reports have indicated that the electric vehicle maker is putting in a lot of effort to expand the service to other cities across the United States. Waymo, the Robotaxi service’s biggest competitor, has ramped its service to areas like the San Francisco Bay Area, Los Angeles, and Phoenix. 

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Analysts continue to highlight Tesla’s long-term autonomy potential due to its global fleet size, vertically integrated design, and immense real-world data. ARK Invest has maintained that Tesla Robotaxis could represent up to 90% of the company’s enterprise value by 2029. BTIG analysts, on the other hand, added that upcoming Full Self-Driving upgrades will enhance reasoning, particularly parking decisions, while Tesla pushes toward expansions in Austin, the Bay Area, and potentially 8 to 10 metro regions by the end of 2025.

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