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Cruise in hot seat amid Fire Department’s claims that robotaxis delayed responders in fatal incident

Credit: Cruise

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General Motors’ self-driving unit, Cruise, saw protests outside its San Francisco headquarters earlier this week. The protests come amidst the San Francisco Fire Department’s claims that some of the company’s autonomous robotaxis contributed to the tragic death of a pedestrian. 

The incident, which happened on August 14, involved a pedestrian who was hit by a car in the South of Market neighborhood of San Francisco. The pedestrian’s injuries were so severe that there was heavy bleeding, and the person was no longer responding to verbal commands. It was evident that the injured pedestrian needed urgent medical care, so it was pertinent to have the person transported to a hospital as early as possible. 

Public reports from the San Francisco Fire Department that were obtained by Forbes claimed that the behavior of Cruise robotaxis ended up impeding the workflow of emergency responders, so much so that critical medical care was delayed. One of the Fire Department’s reports about the incident reads as follows. 

“On 8/14/2023, I was assigned to Medic 87 and responded to Incident FD23108420, at 7th Street and Harrison, for an auto vs. pedestrian. Harrison Street is 4 lanes of one-way traffic heading westbound. Upon arrival on scene, the victim was found in the (2) left lanes of Harrison Street, suffering from life-threatening injuries. SFPD and E01 had arrived prior to M87’s arrival. SFPD had a vehicle parked in the #1 lane of Harrison, and E01 had positioned its apparatus across the left 2 lanes of Harrison to shield the patient from oncoming traffic. The right 2 lanes of Harrison were blocked by (2) autonomous Cruise vehicles that had stopped and were not moving, blocking ingress and egress to the incident scene. 

“The patient was suffering from life-threatening injuries, with a GCS 3, agonal respirations, and absent peripheral pulses. SFPD had applied a tourniquet to the left lower extremity to stop life-threatening bleeding from injuries sustained after being struck by a vehicle. Ventilations were assisted with a BVM, and the patient was packaged for rapid transport to a trauma center. 

“While loading the patient to the ambulance, the (2) Cruise vehicles were still stopped in the right 2 lanes of Harrison, prohibiting rapid egress from the scene. SFPD had attempted manual takeover of the autonomous vehicles, but were unsuccessful. This contributed to a delay in transport with a critical trauma patient. 

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“SFFD members had to locate an SFPD officer and request him to move his vehicle to allow successful egress from the scene, but doing so further delayed patient care. These delays caused by (2) autonomous vehicles blocking a normal egress route from the scene contributed to a poor patient outcome, delaying the definitive care required in severe trauma cases. The patient was pronounced deceased at SFGH approximately 20-30 minutes after arrival due to severe blunt-force trauma.”

Cruise has spoken out against the Fire Department’s account of the event. In a comment to The San Francisco Standard, a Cruise spokesperson noted that “we did not impede the vehicle from getting to the hospital” and “what the fire department said is not accurate.” 

“The first vehicle promptly clears the area once the light turns green and the other stops in the lane to yield to first responders who are directing traffic. Throughout the entire duration the AV is stopped, traffic remains unblocked and flowing to the right of the AV. The ambulance behind the AV had a clear path to pass the AV as other vehicles, including the ambulance, proceeded to do so. As soon as the victim was loaded into the ambulance, the ambulance left the scene immediately and was never impeded from doing so by the AV,” Cruise noted in a statement. 

Cruise has reportedly provided a video to back up its claims. The video reportedly showed that while one Cruise robotaxi was indeed stopped at an intersection, there was a free lane to its right where traffic was moving. The video, which was reviewed by Forbes, did show numerous vehicles, including a small ambulance, moving through the free lane. However, the publication noted that it was not clear from the footage if the larger SFFD ambulance, which was likely transporting the severely injured pedestrian, could have navigated the area as easily. 

Below are incident reports from the San Francisco Fire Department. The case in question is described in Page 68 and 69 of the document.

Cruise San Francisco Reports by Simon Alvarez on Scribd

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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.

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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.

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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.”

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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.

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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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