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What comes next for Tesla Autopilot and autonomous driving systems?

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Tesla v7.1 enhanced Autopilot visualization

The world seems to have oddly realized for the very first time that driving assist systems are still in its infancy stages and haven’t seen the decades of iterations that other technology platforms have had. As to why people have entrusted so much of their safety and lives to the word “autopilot”, going as far as shamelessly playing mahjongg on the internet while behind the wheel, checking their e-mail, and brazenly hopping away from the driver’s seat while their two-ton Autopilot-enabled Tesla drives on its own, goes beyond me.

And it’s because of this lack of human judgment that the statistically inevitable fatal accident behind the wheel of a Tesla may have arrived before its time.

Certainly Elon Musk and Tesla Motors have taken great pains to inform drivers they must remain in control of the car at all times when Autopilot is active. A message on the vehicle’s instrument cluster and warning chime reminds us of this. So why is there such a disconnect between what the system is capable of and what people’s expectations are?

“Everyone in the autonomous vehicle industry understands consumer over-trust is a significant problem,” says John Maddox, CEO of the American Center for Mobility. It is a proposed proving ground for connected and automated vehicles that is under development on 335 acres at Willow Run in Michigan. “No one has an answer to that problem yet, to be perfectly blunt. It’s human nature that when we’re bored with a given task we find something else to occupy our minds. There are ways the industry can look at to maintain driver interest,” Maddox says via USA Today.

Michigan wants to be at the forefront of development for autonomous driving systems and connected cars. “These technologies will be significantly better when the vehicles can ‘talk’ to each other and to signals in traffic lights and elsewhere,” says Kirk Steudle, director of the Michigan Department of Transportation. MDOT is working with General Motors, Ford, and the University of Michigan to deploy vehicle-to-infrastructure communication technology on more than 120 miles of metro Detroit roadway.

But the infrastructure to support connected car technology is still decades away. Those 120 miles of roads in Detroit are a minuscule proportion the millions of miles of roads in the US.

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In the meantime, drivers need to be better educated about what systems like Tesla’s Autopilot can and cannot do.

In the wake of Joshua Brown’s fatality, the NHTSA is expected to issue its first set of regulations for semi-autonomous cars in the fall of this year. The Senate Commerce Committee has decided the highest and best use of taxpayer dollars is to launch its own investigation. Its chairman, John Thune, Republican of South Dakota, has sent a request to Tesla to come and tell the committee what it is doing to prevent more fatal accidents. Apparently, Senator Thune thinks the members of his committee must weigh in on this issue while the headlines are there to be had, rather than waiting for NHTSA and NTSB to finish their investigations.

“An informed consumer is the best consumer,” MDOT’s Steudle said. “They really need to understand the limitations of what the technology can do currently. There’s a lot of information out there about where it can take us. But it’s not there yet.”

Strategies to reduce driver expectations might be a wise course of action for Tesla to follow at this juncture.

"I write about technology and the coming zero emissions revolution."

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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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