Tesla pushes new Full Self-Driving Beta v11 update as it slowly expands rollout
Tesla has started to push a new Full Self-Driving Beta v11 software update, but the rollout of the highly anticipated FSD Beta update is still slow.
Tesla FSD Beta v11 is both an exciting and scary step as it is supposed to merge Tesla’s FSD and Autopilot highway stacks.
FSD Beta enables Tesla vehicles to drive autonomously to a destination entered in the car’s navigation system, but the driver needs to remain vigilant and ready to take control at all times.
Since the responsibility rests with the driver and not Tesla’s system, it is still considered a level-two driver-assist system, despite its name. It has been sort of a “two steps forward, one step back” type of program, as some updates have seen regressions in terms of driving capabilities.
Tesla has frequently been releasing new software updates to the FSD Beta program and adding more owners to it.
Since the wider release of the beta last year, there are currently over 400,000 Tesla owners in the program in North America – virtually every Tesla owner who bought the FSD package on their vehicles.
However, the bulk of these owners have yet to receive significant FSD beta updates as Tesla was supposed to release v11 to the fleet in November 2022, but the update has been stuck in testing within Tesla’s closed fleet since then.
The update is an important step because it includes many new neural networks, as Elon Musk stated, but from a consumer perspective, it’s also important because it is expected to merge Tesla’s FSD Beta software stack primarily used on roads and city streets with Tesla’s Autopilot software stack, which is used as a level 2 driver assist system on highways.
It has been delayed several times, but it finally went to a closed beta release last month. Tesla is slowly releasing it to more beta testers, but it has yet to go to a broader release.
Today, the automaker has started to push a new FSD Beta v11.3.1 (2022.45.10) software update to a slightly larger group of beta testers.
The update features several improvements to the new single stack as well as new visualizations that give drivers more insights into what FSd Beta is going.
Here are the release notes for FSD Beta v11.3.1 (via Not a Tesla App):
– Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
– Improved recall for close-by cut-in cases by 15%, particularly for large trucks and high-yaw rate scenarios, through an additional 30k auto-labeled clips mined from the fleet. Additionally, expanded and tuned dedicated speed control for cut-in objects.
– Improved the position of ego in wide lanes, by biasing in the direction of the upcoming turn to allow other cars to maneuver around ego.
– Improved handling during scenarios with high curvature or large trucks by offsetting in lane to maintain safe distances to other vehicles on the road and increase comfort.
– Improved behavior for path blockage lane changes in dense traffic. Ego will now maintain more headway in blocked lanes to hedge for possible cans in dense traffic.
– Improved lane changes in dense traffic scenarios by allowing higher acceleration during the alignment phase, This results in more natural gap selection to overtake adjacent lane vehicles very close to ego
– Made turns smoother by improving the detection consistency between lanes, lines and road edge predictions. This was accomplished by integrating the latest version of the lane-guidance module into the road edge and lines network.
– Improved accuracy for detecting other vehicles’ moving semantics. Improved precision by 23% for cases where other vehicles transition to driving and reduced error by 12% for cases where Autopilot incorrectly detects its lead vehicle as parked. These were achieved by increasing video context in the network, adding more data of these scenarios, and increasing the loss penalty for control-relevant vehicles,
– Extended maximum trajectory optimization horizon, resulting in smoother control for high curvature roads and far away vehicles when driving at highway speeds.
– Improved driving behavior next to row of parked cars in narrow lanes, preferring to offset and staying within lane instead of unnecessarily lane changing away or slowing down.
– Improved back-to-back lane change maneuvers through better fusion between vision-based localization and coarse map lane counts.
– Added text blurbs in the user interface to communicate upcoming maneuvers that FSD Beta plans to make. Also improved the visualization of upcoming slowdowns along the vehicle’s path. Chevrons render at varying opacity and speed to indicate the slowdown intensity, and a solid line appears at locations where the car will come to a stop.
– Improved the recall and precision of object detection, notably reducing the position error of semi-trucks by 10%, increasing the recall and precision of crossing vehicles over 100m away by 3% and 7%, respectively, and increasing the recall of motorbikes by 5%. This was accomplished by implementing additional quality checks in our two million video clip autolabeled dataset.
– Reduced false offsetting around objects in wide lanes and near intersections by improving object kinematics modeling in low speed scenarios.
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With the federal EV incentive set to expire at the end of September, Ford is urging its dealers to prepare for a rush of buyers.
Ford warns dealers of upcoming EV rush
Like most automakers, Ford is preparing for a shakeup under the Trump Administration. After the “One Big Beautiful Bill” was signed into law on July 4, the $7,500 and $4,000 tax credit for new and used EVs will no longer be available after September 30.
In a memo sent to dealers this week, Ford warned, “demand is expected to increase as the deadline approaches for eligible vehicles.”
The letter (via CarsDirect) confirmed that the EV tax credit “will no longer be available for vehicles acquired after September 30, 2025.”
Ford blamed Trump’s new bill for the expected rush of EV buyers ahead of the incentive deadline. Although the Mustang Mach-E doesn’t qualify for the credit, since it’s built in Mexico, Ford is passing it on through a leasing loophole. While it’s still available, the F-150 Lightning does qualify for the credit when purchased or leased.
Last week, Ford launched its new “Zero, Zero, Zero” summer sales promo, offering a $0 down payment, 0% interest for 48 months, and zero payments for the first 90 days on most Ford and Lincoln vehicles.
The new campaign replaces the employee pricing for all campaign, which ran through the first half of the year. Despite outpacing the industry with overall sales rising 14% in Q2, Ford’s EV sales fell by nearly a third.
Ford spokesperson Martin Gunsberg told Electrek that electric vehicle sales were lower due to the Mustang Mach-E recall and the transition to the 2025 model year. “Our dealers can’t sell what they don’t have,” Gunsberg said.
Although the Mach-E doesn’t qualify for the credit when purchased, it’s still one of the best EV lease deals available right now, starting at $395 per month. The offer is for 36 months with no down payment required.
Ford isn’t the only one preparing for big changes over the next few months. Honda extended its ultra-low lease offer on the Prologue until the end of September. Hyundai and Kia are slashing prices with generous discounts ahead of the deadline. The 2025 Hyundai IONIQ 5 might be the best EV deal at just $179 per month right now.
Looking to snag the savings while they are still available? You can use our links below to find deals on top-selling electric vehicles in your area.
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Environment
Tesla engineer admits Tesla didn’t maintain Autopilot crash records amid trial over fatal crash
A Tesla engineer admitted in court that Tesla didn’t maintain Autopilot crash records before 2018, 3 years after launching the ADAS system, in a trial over the death of a bystander in a crash involving Autopilot.
Tesla is currently on trial in Miami over a crash involving a 2019 Tesla Model S that was operating on Autopilot.
The case attempts to place some responsibility on Tesla for creating complacency with drivers, who were led to believe Autopilot could do more than it actually could.
George McGee was driving his Model S on Autopilot in Key Largo in April 2019 when he dropped his phone and looked down to pick it up when the car blew past a stop sign at a T intersection, and crashed into a parked Chevrolet Tahoe.
22-year-old Naibel Benavides Leon and her boyfriend Dillon Angulo were standing next to the parked Tahoe. Benavides died and Angulo was seriously injured.
The police charged McGee with reckless driving, but the families of the victims sued both McGee and Tesla. McGee settled with the plaintiffs, but Tesla hasn’t.
The automaker has been sued many times over fatal crashes related to its Autopilot and Full Self-Driving systems. Recently, Tesla settled a few of those lawsuits, but this one is the first to make it to trial.
The plaintiffs allege that Tesla’s communications regarding Autopilot have led drivers, such as McGee, to become complacent and use Autopilot in a manner that led to this crash. They also claim that Tesla misrepresented the safety of Autopilot and failed to deploy proper driver monitoring to ensure its safe use.
The trial started on Monday and on Thursday, the jury heard testimony from Tesla software engineer Akshay Phatak who said that Tesla didn’t even complete records of Autopilot crashes before March 2018 (via Law360):
At the end of the first day of testimony, jurors watched part of the videotaped deposition of Tesla software engineer Akshay Phatak in which he said Tesla did not maintain records before March 2018 for evaluating whether it was safer to operate Tesla vehicles with the autopilot engaged or shut off.
When asked if Tesla maintained records or data before 2018 that kept track of the number of crashes that occurred per vehicle mile driven with the autopilot engaged, he replied simply, “No.”
That’s despite Tesla launching Autopilot almost 3 years prior. The jury will hear more of Phatak’s deposition today after Tesla attempted to keep it out of court over claims that it contains “sensitive trade secrets.”
Plaintiffs also challenged Tesla’s Autopilot safety report. We previously highlighted how Tesla suddenly stopped reporting the statistics and only started again a year later, while updating older data.
Dr. Mendel Singer testified on Tuesday and highlighted the discrepancy:
He noted that Tesla offered corrections to the vehicle safety report in January 2023 after finding some errors and miscounts. The crash data for when the autopilot was on stayed about the same, but the crash rate for when the autopilot was off went up by about 50% in the updated report, he said.
Mary Cummings, a professor and director of the Autonomy and Robotics Center at George Mason University and a longtime critic of Tesla’s self-driving efforts, is expected to testify today.
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General Motors and Redwood Materials are joining forces to take EV battery tech beyond the road and onto the grid. The two companies just signed a non-binding memorandum of understanding that sets the stage for turning both new and second-life GM batteries into energy storage systems to support the US’s rising electricity demand.
The collaboration aims to help the grid keep up with the surge in power-hungry applications, from AI data centers to electrified transport and industry.
“The market for grid-scale batteries and backup power isn’t just expanding, it’s becoming essential infrastructure,” said Kurt Kelty, GM’s VP of batteries, propulsion, and sustainability. “Electricity demand is climbing, and it’s only going to accelerate… GM batteries can play an integral role.”
Redwood launched a new venture in June called Redwood Energy that repurposes both new and used EV battery packs into fast and cost-effective energy storage systems. Today’s announcement allows Redwood to use second-life batteries from GM EVs and new GM battery modules to create US-built energy storage systems.
This isn’t just a future plan – it’s already happening. GM’s repurposed EV batteries are currently powering the biggest second-life battery project in the world. Located in Sparks, Nevada, Redwood’s 12MW/63MWh installation is also the largest microgrid in North America and supports Crusoe, an AI infrastructure company.
“Electricity demand is accelerating at an unprecedented pace,” said JB Straubel, Redwood’s founder and CEO. “Both GM’s second-life EV batteries and new batteries can be deployed in Redwood’s energy storage systems, delivering fast, flexible power solutions.”
And the timing couldn’t be better. AI data centers alone are expected to triple their share of US electricity use, from 4.4% in 2023 to 12% by 2028. That’s driving the urgent need for scalable, domestic energy storage.
GM and Redwood Materials say they’ll share more details on their plans later this year.
Read more: Arizona brings a huge grid battery online ahead of peak demand
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