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Tesla-inspired Xpeng Motors unveils Model 3 competitor despite Autopilot lawsuit

Credit: Xpeng Motors

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China’s Xpeng Motors recently unveiled its answer to the Tesla Model 3, the P7 sedan. The vehicle is impressive, packing up to 440 miles of range per charge under NEDC standards at a price that undercuts more established rivals. But the company’s competition with Tesla goes beyond the pavement and well into the courtroom.

Xpeng issued a press release on April 27 announcing the official launch of its second production model vehicle. The P7 is currently available for order in China in three versions: a 4WD High Performance trim that can hit 0-100 km/h in 4.3 seconds, an RWD Super Long Range variant that goes 440 miles under the NEDC cycle, and the entry level RWD Long Range. The all-electric sedan uses 12 ultrasonic sensors, five millimeter-wave radars, and 14 cameras to operate its autonomous driving system, which is known as XPILOT3.0. After subsidies, the car will cost between $32,462 and $49,404.

“Today is a milestone in the 5-year history of Xpeng Motors,” Chairman and CEO He Xiaopeng said. “The P7’s launch solidifies Xpeng Motors’ leading position in China’s smart EV market. Our ability to launch the P7 in the challenging conditions of the COVID-19 crisis is a testament to the strength of our young company.”

However, Xpeng’s presence in the world of electric vehicles goes much further than the launch of its new car. The company is currently in a legal battle with Tesla, who is suing a company engineer for allegedly stealing Autopilot’s source code prior to starting his employment at the Chinese automaker.

Tesla accused Guangzhi Cao of downloading Autopilot’s source code to his personal computer and transferring it via Apple Airdrop before selling it to Xpeng for financial gain. Airdrop is a complicated method to trace because it uses Transport Layer Security (TLS) encryption. Cao, for his part, maintains that he did download some of Autopilot’s source code to his personal computer, but he argued that he deleted it before leaving Tesla to join Xpeng.

Unfortunately for the Chinese EV startup, Tesla’s Autopilot source lawsuit is turning ugly. The most recent developments in the lawsuit state that Xpeng is claiming Tesla’s requests are “stereotypical” after the company demanded information from an ex-employee of Apple. Just like Cao, the ex-Apple employee left his job for Xpeng and was criminally charged with providing information to the Chinese automaker, Automotive News stated.

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“Tesla’s latest demands crossed the line, seeking to rummage through our IP on Tesla’s terms — and smearing us along the way with misrepresentations and innuendo,” a spokesperson from Xpeng’s U.S. affiliate, XMotors, said. “Tesla’s overreach and distortions confirm this is just a fishing expedition meant to bully and disrupt a young competitor.”

Interestingly enough, Xpeng executives have been vocal supporters of Tesla in the past. President and Vice Chairman of Xpeng, Brian Gu, has passed along compliments to Tesla, comparing them to technology giant Apple. “Tesla reminds me of Apple. It educated the high-end market for China, but it also spurred a lot of competitive, diverse brands like Xiaomi and Huawei to come up with really cool and affordable products,” Gu said.

Additionally, CEO He Xiaopeng stated that the company probably would not exist if Tesla didn’t release 200 patents to the public a few years ago. One of the reasons Xpeng was founded was because Elon Musk made Tesla’s patents available. It was so exciting,” he said. However, these patents did not include any Autopilot coding, which is instrumental in Tesla’s lead in the autonomous vehicle industry.

Xpeng’s full press release is available here.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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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