Chinese electric car company Xpeng will use LiDAR sensors in its mass-market vehicles that are produced in 2021. The announcement from Xpeng came on Friday and deviated the company away from the current lawsuit that Tesla has against one of its former employees who took Autopilot sourcing code to the Chinese car company.
LiDAR is a strategy that utilizes light detection and ranging to determine self-driving accuracy. The strategy is advantageous in certain environments that offer sufficient lighting, but an automaker has never used it before now. The waves it uses to capture imagery is more ideal for higher precision driving, but it is costly. Elon Musk, Tesla’s CEO, once called the use of LiDAR “a fool’s errand,” and has consistently cited it as the wrong approach to developing self-driving techniques. “[They are] expensive sensors that are unnecessary,” Musk added when talking about the use of LiDAR to develop self-driving cars.
Musk’s opinions won’t convince Xpeng to shy away from using it, however. CEO He Xiaopeng said the LiDAR tech is “a breakthrough in popularising autonomous driving.” Xpeng said in a statement that using the technology will “significantly improve” the accuracy of its tech by holding the ability to recognize vehicles and other objects, making it safer and more defined on the company’s quest to a fully self-driving car.
The company’s announcement regarding the use of LiDAR counteracts with the current lawsuit Tesla holds against one of its former employees who went to Xpeng. Cao Guangzhi, a former Tesla Autopilot team engineer, was accused of stealing sourcing code from the Silicon Valley-based automaker and giving it to Xpeng for money. The lawsuit hit a standstill when Tesla was denied access to grand jury materials related to a former Apple employee, Zhang Xiaolang, who left the tech company for Xpeng.
But Xpeng’s adoption of LiDAR shows that Tesla’s sourcing code may not have been desirable to the Chinese automaker. Either that or the company couldn’t figure out what Tesla was doing with AP, as it is extremely complex and constantly improving thanks to the Neural Network. Musk stated in a Tweet on Friday morning that Xpeng has an old version of Tesla’s software, which is outdated, less complex, and not as functional as the current versions of AP. Additionally, Xpeng does not have the advantages of a Neural Network, which uses data compiled from every mile driven to improve its self-driving performance.
They have an old version of our software & don’t have our NN inference computer
— Elon Musk (@elonmusk) November 20, 2020
Musk made it clear that Xpeng was the only Chinese company that attempted to utilize Tesla’s AP source code, which was not open-sourced and was taken without the automaker’s consent.
Regardless, Xpeng is happy with using LiDAR as it believes it will offer a “nearly tenfold increase in computing power” and “centimeter-level accuracy.” While Xpeng will be the first car company to use LiDAR, it will not be the first autonomous driving entity to utilize the tech. Waymo uses the tech and is selling its own LiDAR systems as of 2019.
The expensive cost of LiDAR is sure to drive up Xpeng’s vehicles’ price, but the company did not want to indicate how much its 2021 vehicles that will equip the technology will set back consumers.
Originally reported by the South China Morning Post.
News
Tesla looks to upgrade Matrix Headlights with new features
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
- Credit: u/ObjectiveScratch | Reddit
- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.
Elon Musk
Elon Musk denies Starlink’s price cuts are due to Amazon Kuiper
“This has nothing to do with Kuiper, we’re just trying to make Starlink more affordable to a broader audience,” Musk wrote in a post on X.
Elon Musk has pushed back on claims that Starlink’s recent price reductions are tied to Amazon’s Kuiper project.
In a post on X, Musk responded directly to a report suggesting that Starlink was cutting prices and offering free hardware to partners ahead of a planned IPO and increased competition from Kuiper.
“This has nothing to do with Kuiper, we’re just trying to make Starlink more affordable to a broader audience,” Musk wrote in a post on X. “The lower the cost, the more Starlink can be used by people who don’t have much money, especially in the developing world.”
The speculation originated from a post summarizing a report from The Information, which ran with the headline “SpaceX’s Starlink Makes Land Grab as Amazon Threat Looms.” The report stated that SpaceX is aggressively cutting prices and giving free hardware to distribution partners, which was interpreted as a reaction to Amazon’s Kuiper’s upcoming rollout and possible IPO.
In a way, Musk’s comments could be quite accurate considering Starlink’s current scale. The constellation currently has more than 9,700 satellites in operation today, making it by far the largest satellite broadband network in operation. It has also managed to grow its user base to 10 million active customers across more than 150 countries worldwide.
Amazon’s Kuiper, by comparison, has launched approximately 211 satellites to date, as per data from SatelliteMap.Space, some of which were launched by SpaceX’s Falcon 9 rocket. Starlink surpassed that number in early January 2020, during the early buildout of its first-generation network.
Lower pricing also aligns with Starlink’s broader expansion strategy. SpaceX continues to deploy satellites at a rapid pace using Falcon 9, and future launches aboard Starship are expected to significantly accelerate the constellation’s growth. A larger network improves capacity and global coverage, which can support a broader customer base.
In that context, price reductions can be viewed as a way to match expanding supply with growing demand. Musk’s companies have historically used aggressive pricing strategies to drive adoption at scale, particularly when vertical integration allows costs to decline over time.

