It appears that Tesla’s internal beta of FSD Beta 10.13 was successful, as reports recently emerged that the highly-anticipated iteration of the advanced driver-assist system has started rolling out to consumer vehicles. A good portion of the update’s release notes has also been shared online.
As former Tesla AI Director Andrej Karpathy announced his departure from the company last week, CEO Elon Musk remarked that FSD Beta 10.13 should handle some tough left turns. Musk also remarked that the recent 10.x updates of FSD Beta are already “mostly at v11” in terms of their capabilities, though FSD Beta v11 itself should still be released hopefully next month.
Interestingly enough, one of the first observed vehicles that received FSD Beta 10.13 was a Model Y from Gigafactory Texas, a vehicle with a 4680 battery pack. This is quite an interesting development, as FSD Beta and 4680 battery packs are among Tesla’s most important projects in recent years.
Just as stated by Elon Musk, FSD Beta 10.13’s release notes directly reference beta tester Chuck Cook’s extremely challenging unprotected left turn, as well as other notable improvements on false positives and false slowdowns around crosswalks. While FSD Beta 10.13 would most definitely not be the final iteration of the advanced driver-assist system, it promises to be a substantial improvement overall.
Following are (partial) release notes of FSD Beta v10.13.
FSD Beta v10.13 Release Notes
- 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.
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Sweden blocks Tesla FSD-style testing in Stockholm
It looks like FSD testing in Sweden would have to wait some time.

Tesla is putting a lot of effort into getting its Full Self Driving (FSD) system approved in territories outside North America. But while China seems to have embraced FSD fully, other countries like Sweden do not seem to be receiving Tesla’s automated driving system very well.
This became quite evident in a document from Stockholm City, which has started making the rounds online.
FSD Testing Rejected
The document, which was initially shared by X user @KRoelandschap, indicated that the Swedish Traffic Department in Stockholm had rejected Tesla’s request to start FSD testing in the city’s streets. Tesla has been demonstrating FSD in several areas across Europe, so it is not surprising that the company is also attempting to test its automated driving system in Sweden.
Unfortunately for Tesla, Sweden might prove to be a tough nut to crack. As per the City of Stockholm:
“The Traffic Office is currently working on updating its approach to automation. At the same time, the city and the office are under heavy pressure from other ongoing innovation tests. Our ambition is to actively participate in and learn from the continued development in the field of automation.
“Based on this, and in combination with the fact that the current test is the first of its kind, which entails certain risks for both infrastructure and third parties, and that it is planned to be carried out throughout the city, the City of Stockholm considers it is currently not possible to approve the implementation of the test.”
Tesla’s Other Swedish Troubles
Sweden’s FSD testing rejection is not the only roadblock facing Tesla in the country. Since October 2023, Swedish unions have been engaged in an active effort to disrupt Tesla’s operations. The unions’ efforts have been varied, with some resulting in Tesla having difficulty launching more Superchargers in Sweden. Despite this, Tesla has remained stubborn and has refused to bow to the unions’ demands.
Fortunately for Tesla, it seems like its numbers are still strong. Despite the company’s decline in several European countries, the new Model Y is starting to see strong sales figures in Sweden. In early May alone, the new Model Y became the country’s most popular electric vehicle—a notable accomplishment considering the unions’ active efforts to disrupt Tesla.
News
Tesla firmware shows new Model Y seat configuration is coming
Tesla could be adding another seating configuration beside the seven-seater to the Model Y lineup later this year.

Tesla firmware has been a great place for some to reveal what the company has in the pipeline, and a new seating configuration for the best-selling Model Y looks to be on the way.
Last week, we reported that Tesla was already hinting toward a 7-seater configuration of the Model Y in a promotional email it sent to those on its contact list.
However, firmware revealed by Tesla hacker greentheonly is showing that a new seating configuration is on the way — a six-seater:
The much rumored about 6-seater Model Y made an appearance in the firmware.
Unlikely to be China-only as some of the speculations said.Some weird “slow down to save energy, people typically drive this much slower here to save %%” nav suggestions.
— green (@greentheonly) June 16, 2025
Green says the configuration would not be available in China-only, and will be potentially for sale in other markets as well.
The six-seat and seven-seat configurations of the Model Y were available in the Legacy version of the vehicle, but were met with mixed reviews, as many complained about the lack of legroom in the third row.
This was something that was a real concern for many of those owners who needed something larger than the traditional five-seat variant, but did not want to buy the much more pricey Model X.
We’ve covered the size of that third row on several occasions.
Some owners even took the idea of having a seven-seater into their own hands:
Tesla Model Y third row seat test explores options for a comfortable 7-seat setup
Tesla did not explicitly announce a six-seater configuration of the Model Y, but Lars Moravy, the company’s VP of Vehicle Engineering, said the seven-seater would come to production later in 2025.
News
Tesla confirms massive hardware change for autonomy improvement
Tesla has confirmed that a recent change made to some of its recently refreshed vehicles is, in fact, a strategy it will use to improve its suite as it continues to work toward autonomy.

Tesla has confirmed that a recent change made to some of its recently refreshed vehicles is, in fact, a strategy it will use to improve its suite as it continues to work toward autonomy.
Tesla first introduced a front-facing camera on the front bumper with the Cybertruck.
Then, the Model Y “Juniper” received the hardware update. The Model S and Model X both received the front-facing camera with its latest update, which was officially revealed last week.
Tesla used new language with the release of the front-facing cameras on the Model S and Model X, confirming they will assist with several things, including “using Autopilot and Actually Smart Summon capabilities”:
“Enhanced visibility when parking or using Autopilot and Actually Smart Summon capabilities.”
This tiny feature on the new Tesla Model Y is perhaps its biggest addition
This is the first time Tesla has used this sort of language, as it was a completely different description with the launch of the new Model Y in January.
When Tesla launched this vehicle, it said the front bumper camera “provides a wider field of view for automatic assisted driving and advanced Smart Summon.”
Tesla switched from using cameras and sensors to only cameras with the launch of Tesla Vision several years ago. The company’s utilization of cameras comes from Tesla’s belief that Ultrasonic Sensors (USS) are not needed for self-driving efforts:
“Along with the removal of USS, we simultaneously launched our vision-based occupancy network – currently used in Full Self-Driving (FSD) (Supervised) – to replace the inputs generated by USS. With today’s software, this approach gives Autopilot high-definition spatial positioning, longer range visibility and the ability to identify and differentiate between objects. As with many Tesla features, our occupancy network will continue to improve rapidly over time.”
CEO Elon Musk has said that sensors were only a crutch and that self-driving would be solved through the use of cameras:
“When your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside your head, and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person.”
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