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In the release notes of the latest Tesla FSD Beta v11, Tesla explains what is happening to Autopilot with the new update, and it adds the capacity to send voice feedback.

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 recently, Musk confirmed that a new version (v11.3) is going to a closed beta fleet this week – indicating that it might finally be about to be more widely released.

Now NotaTeslaapp, which tracks Tesla software updates, has obtained the FSD Beta v11.3 release notes, and they contain some interesting information.

Tesla starts out by explaining in more detail what it going to happen to Autopilot with this update:

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.

As expected this leaves the door open for some regression at first, but Tesla makes it clear that it believes this is the way to go long-term.

Another interesting new feature revealed by the release notes is the capacity to send Tesla voice memos about your FSD Beta experience. That’s something that Beta testers have been asking for a while as they can use it to give Tesla more details about a specific situation that they experience with the system.

A big part of the rest of the notes appears to focus on curbing some potentially dangerous driving behavior that FSD Beta has been known to do and has recently been described by NHTSA in its FSD Beta recall notice.

As we noted in our reporting of the recall, the notice made it sound like Tesla’s “fix” for the “recall” was simply its usual next software update, but now it looks like they did try to address some of these things more specifically as described in the release notes.

Here are the full Tesla FSD Beta v11.3 release notes:

  • 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 set up 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.
  • Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
  • Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego’s path. This includes cases where other vehicles run their red light or turn across ego’s path, stealing the right-of-way. Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
  • Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object’s instantaneous kinematics along with trajectory estimates.
  • Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
  • Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
  • Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego’s lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
  • Added “lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
  • Improved overall geometry and stability of lane predictions by updating the “lane guidance” module representation with information relevant to predicting crossing and oncoming lanes.
  • Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines.
  • Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
  • Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
  • Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
  • Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
  • Improved decision-making at crosswalks by leveraging neural network-based ego trajectory estimation in place of approximated kinematic models.
  • Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
  • Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.

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Tesla Cybertruck and new Model 3 miss the top marks in latest crash tests

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Tesla Cybertruck and new Model 3 miss the top marks in latest crash tests

Tesla Cybertruck and the new Model 3 have both fallen short of the top marks in IIHS’ latest round of crash tests.

Over the years, Tesla has consistently earned top safety ratings from various agencies, but this time it could get it from IIHS.

The Insurance Institute for Highway Safety (IIHS) released its latest batch of safety ratings following a new wave of crash tests.

Two Tesla vehicles were part of the batch: the 2025 Cybertruck and 2025 Model 3.

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They both received “good” safety ratings from IIHS, but they fell short of being considered “top safety picks” due to some smaller issues.

For the Cybertruck, its headlights were rated “poor”:

The Cybertruck’s headlights were also downgraded because the low beams created excessive glare.

The overall crash test performance was almost entirely “good”:

Here’s a video of some of the Cybertruck crash tests:

IIHS mentions that this crash test is only relevant for the Cybertruck starting in April 2025 due to Tesla having made “changes to the front underbody structure” after that.

For Model 3, IIHS’ crash test concluded that there’s an elevated risk for rear passengers due to the seat belts:

 In the case of the Model 3, however, measurements taken from the rear dummy indicate a somewhat elevated risk of chest injuries due to high belt forces.

The rest of the results from the crash tests were good:

Here are videos of the crash tests for the 2025 Tesla Model 3:

Earlier this year, Electrek reported that Tesla’s top crash safety architect left the company.

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Rivian’s super secret e-bike startup keeps dropping strange, cryptic teasers

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Rivian's super secret e-bike startup keeps dropping strange, cryptic teasers

We’ve been following Rivian’s quest to develop an in-house electric two-wheeler for years now, dating back to 2022 when we spotted them poaching top electric bicycle talent from companies like Specialized. But despite years of development work, no one on the outside really knows what the company’s micromobility startup ALSO is truly working on. And thanks to several strange teaser videos shared by the apparent skunkworks program, we still don’t know.

We had a pretty good idea that the company has its sights set on an honest-to-goodness electric bicycle, at least based on what Rivian CEO RJ Scaringe said back in 2023.

Rivian spun out a startup called ALSO to focus its micromobility work, and they’ve been hard at work both on and offline. ALSO’s social media team has kept up a steady drip of eclectic teasers, often showcasing a single component without any explanation or background. And it appears they’ve spent big ad money on getting those teasers in front of a large audience.

For example, one post showcases the copper windings of two different motor stators, showcasing what appears to be two different sizes of relatively small-diameter hub motors, though perhaps one is the stator of a mid-drive motor. Two motors would be surprising on an electric bicycle. While it’s been done many times, dual motors are usually found on out-of-class e-bikes that are essentially small electric motorcycles skirting motorcycle laws. A single motor is plenty powerful for street-legal e-bikes, and thus dual motors would only seem necessary on something intended for more power than a typical electric bicycle.

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Another clip shows a control board that has a surprisingly large footprint for something that would conceivably be stored in the frame or body of a conventional electric bicycle. It also looks to have connections for two different motor phase wires, implying driving a pair of motors from the single board. Back in 2010, I headed up an electric bicycle startup developing a model with a completely enclosed front triangle, which could be a solution that would support housing such large-format electronic components within ALSO’s presumed e-bike.

A window in the large circuit board also gives us a partial view of a pair of wheels that seem roughly bicycle-sized, also revealing a conventional fork and disc brake rotor on the wheel.

The potential for dual motors and some large fairing to conceal that circuit board would imply the possibility of something larger than a typical e-bike, perhaps even a moped or light electric motorcycle. The same clip also appears to reveal an engineer working on a gray metal component that looks suspiciously like a rear swing arm, which would lead us to believe that the bike would feature rear suspension.

Despite some of those clues that would imply something bigger or more powerful than a typical e-bike, other teasers show people “riding” along a sidewalk on invisible bikes, miming pedaling actions, which would imply functional pedals. And another teaser displays a belt pulley of what could be a belt drive on the pedal drivetrain, though it could also be a final drive coming from a centrally mounted motor.

In yet another strange post, the bike is completely blurred out, but we can see a rider holding what are likely a set of handlebars awkwardly close to his waist, which would be a position more commonly seen on a standing electric scooter than on an e-bike or e-motorcycle. However, he may also be straddling the bike and simply standing closer to the bars.

He also appears to be wearing a jacket with back armor, something rarely seen among e-bike riders but much more common in the motorcycling world (though I’ve advocated for it on e-bikes, too).

On the other hand, the bike or skate helmet worn by the rider still implies that we’re back in the bike world, not the moto-world.

Keeping the hype train rolling, another short video shows a partial view of the battery in various stages of assembly. The cylindrical cells look like 18650 or 21700 cells, used in many electric vehicles, but most commonly light electric motorbikes and e-bikes. While the camera is too zoomed in to determine the size of the battery, it looks like the cells are arranged in a fairly tightly packed configuration with frequent and close-spaced reversing of the cells. This is done to weld the cells in series – a necessary step for increasing the voltage of the pack.

But the fairly small number of cells grouped together in a single orientation, perhaps as few as six (though it could be more due to the limited framing of the shot), would imply a somewhat small battery by motorcycle standards, potentially around 20Ah or less, if using relatively common 3.5Ah 18650 cells arranged in a 6p configuration. That puts us back in electric bicycle territory (or an underspec’d electric moped), though there could be multiple battery packs to increase the overall capacity.

But pushing back towards something larger is the sophisticated LED lighting setup, which uses two powerful LED segments to create what might be a high/low beam configuration. We rarely see such powerful lighting on electric bikes and find this setup more often on seated electric scooters and motorbikes. But then again, ALSO is part of Rivian and thus would easily benefit from Rivian’s automotive-level components and supply chain.

Then there’s a censored shot of two people on the bike in question, with a child strapped into a kid’s safety seat, implying a utility or cargo bike configuration that can allow for a passenger on the rear rack.

Plus, to make things even more interesting, these shots are all interspersed with artistic designs, strange kinetic wind art, penguin furries, crystal prisms, nature themes, and other seemingly random motifs that either point to the artistic whims of ALSO’s social media folks or are just random red herrings to confuse us further.

Basically, there are many clues, some of them seemingly contradictory, none of which really tell us that much more than we already knew, which is that ALSO is building personal electric vehicles of some unknown type.

The company says all will be revealed on October 22, so we’re on the edge of our seats waiting for that reveal. It could be a major shakeup in the industry, or the company could go the route of basically every other automotive company that tried to build an e-bike and failed miserably. Time will tell.

But there’s one thing I can say for sure. I’ve covered e-bikes longer than just about anyone else in this industry, and this is the weirdest freaking launch lead-up I’ve ever seen.

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Ford blames EVs as it plans to cut a bunch more jobs in Germany

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Ford blames EVs as it plans to cut a bunch more jobs in Germany

Ford blamed slowing demand for electric vehicles after announcing plans to slash another 1,000 jobs at its Cologne EV plant in Germany.

Ford cuts jobs in Germany over weak demand for EVs

In a press release on Thursday, Ford announced plans to cut another 1,000 jobs at its plant in Cologne, Germany.

“In Europe, demand for electric cars remains well below industry forecasts,” the company said. Ford is blaming weak demand for EVs, saying it will move from a two-shift operation to a single-shift operation, starting in January.

The proposed plans from last year include cutting about 4,000 jobs in Europe by the end of 2027, or about 14% of its European workforce. The job cuts will be primarily in Germany and the UK as part of a broader restructuring. Tuesday’s announcement will raise it by another 1,000.

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Earlier this year, Ford faced a historic worker strike in Cologne that disrupted production. The news announced on Tuesday will likely affect vehicle production again.

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Ford Explorer EV production in Cologne (Source: Ford)

Ford currently builds electric vehicles, including the Explorer and Capri, in Cologne, but it’s facing new competition from BYD and other low-cost EV makers from China.

Although Ford is blaming weaker-than-expected demand for EVs, according to the latest data from the European Automobile Manufacturers’ Association (ACEA), 1,011,903 battery electric vehicles (BEVs) were registered in the EU in the first seven months of 2025, led by increases in Spain (94.5%), Germany (59,2%), and Italy (60.3%).

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Ford’s electric vehicles in Europe from left to right: Puma Gen-E, Explorer, Capri, and Mustang Mach-E (Source: Ford)

If you look at the most recent registration data from the German Federal Motor Transport Authority (KBA), Ford registered 10,924 BEVs in Germany through August, or less than 15% of the nearly 74,000 vehicles it sold.

The shortcomings come despite Ford investing nearly €2 billion ($2.4 billion) to upgrade the facility to produce electric vehicles. Ford also offers the Puma Gen-E, the electric version of its best-selling vehicle in Europe. It was the first EV to qualify for the full £3,750 ($5,000) discount from the UK’s recently launched Electric Car Grant program.

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