Tesla has issued yet another giant update for its Full Self Driving (FSD) software, dramatically improving vehicle behavior in numerous situations.
Despite the controversy that seems to consistently surround Tesla’s autonomous driving suite, it just keeps improving, with new features and capabilities added at an astounding rate. Now, Tesla has issued yet another dramatic update to Full Self Driving, bringing significant improvements in vehicle intelligence and the dream of fully autonomous vehicles one step closer to reality.
@Winnersechelon first reported the newest FSD update on Twitter, posting a screenshot of the release notes for the update.
Release notes for latest FSD Beta release pic.twitter.com/0lDmZbmEUb
— TeslaBull FSD BETA (@Winnersechelon) April 17, 2023
Perhaps more than previous updates, 11.4 focuses on vastly improving vehicle behavior, with new features taking a back seat. According to Tesla’s release notes, those improvements are seen throughout numerous environments.
Foremost, Tesla FSD is better than ever at recognizing and reacting to pedestrians that are either about to cross the street or are already doing so. This stems from an improvement in kinematic calculations, which allows the vehicle to predict where people, vehicles, and objects are going. Regarding pedestrians, the vehicle will act more smoothly, either progressing through the intersection or stopping.
This improvement also extends to other “vulnerable road users,” such as bikers and cyclists, which Tesla FSD will now react more quickly to and slow down for if necessary.
Another improvement that urbanites can enjoy is in “turn performance.” When in dense city areas or unexpected turns, the vehicle will now follow the turn more correctly, dodging parked vehicles and avoiding bus lanes. This improvement is paired with an update to bus lane recognition overall, helping to prevent the vehicle from being where it isn’t supposed to be.
Other updates focus on improving performance in more rural areas. One such improvement is improved lane, line, and edge of road detection, which can be helpful in areas with less consistent road painting and paving. This update feeds into two others, improved lane guidance, ensuring the vehicle is in the correct lane to reach its destination, and improved prediction of the movement of “partial cut-ins,” or cars that haven’t wholly dedicated to a lane. Tesla’s massive library of clips and auto-labeling system makes both upgrades possible.
In the case of improved lane guidance, Tesla states that this update will reduce driver interventions by 64%, ensuring the vehicle isn’t in the wrong lane and reaches the destination more consistently.
Another update affecting how Tesla vehicles behave in lanes is lane change speed control. Tesla FSD will now consider “upcoming navigation deadlines” and will use more or less speed if necessary to switch lanes. Moreover, the vehicle will more accurately calculate the number of lanes it needs to change, thanks to Tesla’s ever-improving vehicle network.
Vehicle speed also improves in countless other situations as well. Thanks to Tesla’s all-new “Vision Speed” network, its network of vehicles can now infer the typical driving speed of any given roadway, improving how the vehicle reacts to areas that typically require lower speeds, such as neighborhoods or parking lots.
The final speed update regards how the vehicle reacts to the weather. The max autopilot speed will now take into account current weather conditions and limit driving speed if visibility or traction is too poor. According to Tesla’s release notes, this calculation is quite advanced, as it will take into account not only its condition, such as tire tread, and its data on visibility and road wetness, but it will also account for outside factors, such as tire spray from other vehicles and traffic intensity.
The final two updates are far more general and will improve the vehicle’s autonomous operation overall. First, Tesla has improved “long-range path blockage,” meaning that its vehicles will more quickly merge into other lanes to avoid obstacles in the road. Second, Tesla has reduced “photon-to-control” latency by 2%, meaning the vehicle will react 2% faster to anything it “sees.”
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News
Tesla hints toward Premium Robotaxi offering with Model S testing
Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”
Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.
Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.
However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:
🚨 Tesla is using Model S vehicles fitted with LiDAR rigs to validate FSD and Robotaxi, differing from the Model Ys that it uses typically
Those Model Y vehicles have been on the East Coast for some time. These Model S cars were spotted in California https://t.co/CN9Bw5Wma8 pic.twitter.com/UE55hx5mdd
— TESLARATI (@Teslarati) December 11, 2025
Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”
It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.
Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.
Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”
However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.
Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.
News
Rivian unveils self-driving chip and autonomy plans to compete with Tesla
Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.
Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.
Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.
CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.
He said:
“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”
At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:
“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”
The Hardware
Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.
It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.
Meet the Rivian Autonomy Processor.
Fast, smart, scalable and purpose-built for autonomous driving and the world of physical AI. Hitting the open road in 2026. pic.twitter.com/0wYXi5WKy7
— Rivian (@Rivian) December 11, 2025
RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.
ACM3 specs include:
- 1600 sparse INT8 TOPS (Trillion Operations Per Second).
- The processing power of 5 billion pixels per second.
- RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
- RAP1 is enabled by an in-house developed AI compiler and platform software
As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”
More Details
Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.
More than any other feature, our owners have asked for more hands-free miles.
With Universal Hands-Free, you can now enjoy hands-free assisted driving on any road with clearly defined lanes. That’s roughly 3.5 million miles in the U.S. and Canada.
Look for it in our next… pic.twitter.com/ZFhwVzvt6b
— Rivian (@Rivian) December 11, 2025
Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.
News
Tesla partners with Lemonade for new insurance program
Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”
Tesla owners in California, Oregon, and Arizona can now use Lemonade Insurance, the firm that recently said it could cover Full Self-Driving miles for “almost free.”
Lemonade, which offered the new service through its app, has three distinct advantages, it says:
- Direct Connection for no telematics device needed
- Better customer service
- Smarter pricing
The company is known for offering unique, fee-based insurance rates through AI, and instead of keeping unclaimed premiums, it offers coverage through a flat free upfront. The leftover funds are donated to charities by its policyholders.
On Thursday, it announced that cars in three states would be able to be connected directly to the car through its smartphone app, enabling easier access to insurance factors through telematics:
Lemonade customers who own @Tesla vehicles in California, Oregon, and Arizona can now connect their cars directly to the Lemonade app! ⚡🚘
Direct connection = no telematics device needed 📵
Better customer experience 💃
Smarter pricing with Lemonade 🧠This is a game-changer… pic.twitter.com/jbabxZWT4t
— Lemonade (@Lemonade_Inc) December 11, 2025
Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”
The strategy would be one of the most unique, as it would provide Tesla drivers with stable, accurate, and consistent insurance rates, while also incentivizing owners to utilize Full Self-Driving for their travel miles.
Tesla Full Self-Driving gets an offer to be insured for ‘almost free’
This would make FSD more cost-effective for owners and contribute to the company’s data collection efforts.
Data also backs Tesla Full Self-Driving’s advantages as a safety net for drivers. Recent figures indicate it was nine times less likely to be in an accident compared to the national average, registering an accident every 6.36 million miles. The NHTSA says a crash occurs approximately every 702,000 miles.
Tesla also offers its own in-house insurance program, which is currently offered in twelve states so far. The company is attempting to enter more areas of the U.S., with recent filings indicating the company wants to enter Florida and offer insurance to drivers in that state.
Tesla hints toward Premium Robotaxi offering with Model S testing
Rivian unveils self-driving chip and autonomy plans to compete with Tesla
