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GMC Hummer EV recalled over faulty taillamp embedded software issue

The first 2022 GMC HUMMER EV Pickup Edition 1 exits Factory ZERO in Detroit and Hamtramck, Michigan. VIN 001 was auctioned in March 2021 at the Barrett-Jackson Scottsdale auction for $2.5 million to benefit the Tunnel to Towers Foundation. (Photo by Jeffrey Sauger for General Motors)

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UPDATE: GMC has informed Teslarati that following the recall decision on March 3, 2022, representatives from the automaker contacted customers with affected vehicles and made the necessary arrangements to replace the taillamps on the Hummer EVs. All 10 vehicles that were affected by the recall have been fixed as of writing.

General Motors (GM) has decided to initiate a recall for the 2022 GMC Hummer EV over issues surrounding the vehicles’ taillamps. A Safety Recall Report from the National Highway Traffic Safety Administration (NHTSA) stated that the issue is linked to the embedded software in the microcontroller of the Hummer EV’s taillamp assembly. 

According to the description of noncompliance outlined in the NHTSA’s Safety Recall Report, affected Hummer EVs fail to conform to Federal Motor Vehicle Safety Standard (FMVSS) No. 108, which refers to regulations around “lamps, reflective devices, and associated equipment.” Embedded software in the taillamp can cause one or two of the Hummer EV’s taillights to either become inoperative or partially illuminated. 

In the event that the Hummer EV’s taillamp is inoperative, all functions related to the component — such as brake lights, turn signals, backup lamps, side markers, clearance lamp, and taillight — would end up being disabled. Such an issue could potentially reduce the visibility of a vehicle or communicate incorrect information to other drivers on the road, leading to an increased risk of accidents. 

According to the chronology of the issue outlined in the NHTSA’s Safety Recall Report, a GM employee submitted a report about two field incidents involving Hummer EV units with malfunctioning taillamps to the company’s Speak Up For Safety (SUFS) program on February 1, 2022. A product investigation was opened on February 11, 2022, and on March 3, GM’s Safety Field Action Decision Authority (SFADA) decided to perform a noncompliance recall for affected vehicles. 

Interestingly enough, only ten Hummer EVs are expected be affected by the taillamp recall. The automaker noted that it was aware of three field complaints about the issue so far, which were received from January 8, 2022 through February 7, 2022. The company noted that no accidents have been connected to the Hummer EV’s taillamp recall to date.

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To address the embedded software issue in the affected Hummer EV units, GM’s dealers would inspect and possibly replace the all-electric vehicle’s left and/or right rear taillamp assemblies. These replacement taillamp assemblies feature corrected embedded software in their microcontroller, which should address the taillamp problems. 

It should be noted that GM’s assembly plant initiated containment efforts for the Hummer EV’s issue on February 9, 2022. As such, Hummer EV units with build dates after January 20, 2022 were already built with taillamp assemblies that have corrected software. 

The NHTSA’s Safety Recall Notice for the Hummer EV’s recall can be viewed below. 

RCLRPT-22V141-4804 by Simon Alvarez on Scribd

Don’t hesitate to contact us with news tips. Just send a message to simon@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 just made its headlights even better through a software update

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Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

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Tesla teases “Halloween Mode” update with Optimus rising from a graveyard

Tesla’s Halloween teaser hides a covered vehicle and an Optimus hand rising from the ground.

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Tesla has started teasing a Halloween software update for its vehicles, with  a short clip on X that reads, “Halloween is coming.” The clip opens on a glowing pumpkin before pulling back to the car’s center touchscreen, where the usual parked visualization has been replaced by a graveyard scene, and the vehicle draped with a white sheet so it reads as a cartoon ghost.

The second detail is a robotic hand clawing its way out of the dirt like a zombie, which looks to be the hand of Tesla’s latest Optimus V3 humanoid robot. While Tesla still has not formally shown Optimus Gen 3 walking around in service, renders pulled from Tesla’s Android app last month gave the clearest look yet, including far more refined hands that Tesla has said carry 22 degrees of freedom. The hand has been the hardest part of the program. Musk has called it the majority of the robot’s engineering difficulty, and Tesla’s patents describe a design driven by tendons with the actuators moved into the forearm.

Tesla Optimus V3 hand and arm details revealed in new patents

Optimus also has a Halloween track record. Last October the robot handed out candy in Times Square, and a costumed “zombie” Optimus shuffled around the Tesla Diner in Los Angeles on Halloween night.

On the software side, Tesla’s 2025 Holiday Update expanded Santa Mode with a Santa sleigh, snowmen, snow effects, and a festive lock chime, so it wouldn’t be too far fetched if we saw something similar but themed for a  Halloween Mode.

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Tesla says fixes on Full Self-Driving’s two biggest issues are on the way

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Tesla Full Self-Driving is set to receive improvements to address its two biggest issues, according to a company engineer.

Director of Engineering at Tesla AI, Phil Duan, revealed in a post on X that improvements to both pothole avoidance and navigation “are coming,’ something we have heard many times in the past. However, there are a few things that seem to hint that things might be different this time around.

Pothole avoidance, navigation, speed control, and left lane camping are some of the most prevalent and frequently mentioned shortcomings of the Full Self-Driving suite. These are a few of the biggest issues that have kept Tesla Full Self-Driving as a Supervised suite, meaning drivers must remain attentive during operation.

Pothole Avoidance

Pothole avoidance was first mentioned as an “Upcoming Improvement” with the Tesla Full Self-Driving v14.3 update back in early April of this year. It was listed alongside “Expand reasoning to all behaviors beyond destination handling.”

Tesla is fixing Full Self-Driving’s pothole problem

It’s been six months since we first saw pothole avoidance explicitly mentioned, and it has not moved beyond that and joined the main release notes yet.

Tesla has not shed any light on why pothole avoidance has been such an issue for it to solve, but it also has issues identifying large bumps much of the time, so its modeling of sudden changes in road conditions is likely pretty weak at this particular point. I’ve had more issues with large bumps than potholes, personally, but both are issues that need to be resolved.

It makes sense that things might be pretty close to being released to the public, as we are going on such an extensive period of time between it being mentioned and it actually being deployed.

Navigation

Navigation is likely the most painful part of using Full Self-Driving, as it routinely takes strange routes, has trouble with local rules (like Except Right Turn Stop Signs in Pennsylvania), and sometimes does not realize that maneuvers it is suggesting are against the law. Turning out of my neighborhood, you cannot turn left, yet my Model Y still suggests it roughly 70 percent of the time when I’m leaving.

However, Tesla might be close to a breakthrough on this. With the Summer Update, Tesla added “Preferred Routes” alongside “Automatic Navigation.”

Preferred Routes prioritized roads that the driver had actually taken before, instead of always defaulting to what the vehicle believes is the most efficient path. This has already solved many of my issues. Formerly, I would turn off the Online Routing setting, and that would eliminate most of my complaints with routing, but then you lose out later on the Live Traffic Visualization.

Tesla’s Navigation has improved tremendously thanks to the Preferred Routes release with the Summer Update, but it still could use some polishing, as it still suggests strange routes from time to time, and it also has a lot of issues getting out of a parking lot. I find that those truly confuse FSD sometimes.

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