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Tesla FSD Beta 10.7 gets one-pedal driving, smoother slowdowns

Credit: @muranosky/Twitter)

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Tesla may be targeting the release of FSD Beta 10.8 on Tuesday together with the company’s fun Holiday Update, but this has not stopped the EV maker from releasing FSD Beta 10.7 this past weekend nonetheless. And despite its impending quick replacement with v10.8, v10.7 seems to include a number of key updates that make the advanced driver-assist system smoother to operate. 

Immediately recognizable from v10.7’s detailed Release Notes was that vehicles could now react to things quite a bit faster. With v10.7, FSD Beta would also be less likely to slow down due to bad readings from other cars and objects on the road. Also, the aggressiveness of FSD Beta seems to have been toned down to some degree, with the system now rolling and stopping smoothly for jaywalkers, instead of slamming on the brakes. 

Perhaps most interestingly, however, was that FSD Beta 10.7 also effectively enables one-pedal driving by expanding the use of vehicles’ regenerative braking systems. This should make stops smoother while keeping the physical brakes as infrequently used as possible. This update would likely be a welcome change, as conversations in the r/TeslaMotors subreddit among FSD Beta testers suggest that some users are annoyed by the system’s use of physical brakes in past iterations. 

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The following are the specific Release Notes for Tesla’s FSD Beta 10.7. 

FSD Beta v10.7 Release Notes

– Improved object attributes network to reduce false cut-in slowdowns by 50% and lane assignment error by 19%.

– Improved photon-to-control vehicle response latency by 20% on average.

– Expanded use of regenerative braking in Autopilot down to 0 mph for smoother stops and improved energy efficiency.

– Improved VRU (pedestrians, bicyclists, motorcycles, animals) lateral velocity 1 error by 4.9% by adding more auto-labeled and simulated training examples to the dataset.

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– Reduced false slowdowns for crossing objects by improved velocity estimates for objects at the end of visibility.

– Reduced false slowdowns by adding geometric checks to cross-validate lane assignment of objects.

– Improved speed profile for unprotected left turns when visibility is low.

– Added more natural behavior to bias over bike lanes during right turns.

– Improved comfort when yielding to jaywalkers by better modeling of stopping region with soft and hard deadlines.

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– Improved smoothness for merge control with better modeling of merge point and ghost objects positioned at the edge of visibility.

– Improved overall comfort by enforcing stricter lateral jerk bounds in trajectory optimizer.

– Improved short deadline lane changes through richer trajectory modeling.

– Improved integration between lead vehicle overtake and lane change gap selection.

– Updated trajectory line visualization.

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While FSD Beta 10.7 seems quite impressive, Elon Musk has noted that v10.8 would probably be released this coming Tuesday, together with the company’s Holiday Update. Tesla’s Holiday Updates are typically comprised of fun additions to vehicles’ features such as games and tricks like the external boombox.

This time around, however, it appears that the company is ensuring that its Holiday Update brings more functionality to its ever-expanding group of FSD Beta testers. These include the capability of FSD Beta to work with other features such as Waypoints, a function that was confirmed by Musk on Twitter. 

Don’t hesitate to contact us with news tips. Just send a message to tips@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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