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Xpeng reveals new, affordable P5 sedan to compete with Tesla Model 3
Chinese electric car company Xpeng Motors has revealed its new P5 sedan. It is the second sedan in the Xpeng lineup and the third vehicle overall, following the P7 Sedan and the G3 SUV. The P5 is affordable and surprisingly less expensive than the widely popular Model 3 in China and includes a series of new driverless technology features that are powered by polarizing LiDAR systems.
The price of the Xpeng P5 was set to be released later this month at the Shanghai Auto Show on April 19th. However, CNBC caught up with Xpeng’s Vice President of Autonomous Driving, Xinzhou Wu, who revealed details regarding the price of the P5 sedan, stating that it would be lower than the P7 that starts at 229,900 yuan ($35,192). Incredibly, the P7 is already less expensive than the Model 3, so the P5 could undercut the Tesla sedan’s price by several thousand dollars.
The P5 is set to roll out to Chinese car buyers later this year, in the third or fourth quarter, according to Wu. The vehicle will be available in China, along with Norway, a major focus of many EV companies due to its high concentration of all-electric vehicles. Xpeng recently expanded its reachable market to Norway and plans to launch the P5 shortly, but Wu didn’t give any specific timelines on when that will occur.
Xpeng will equip the P5 with LiDAR for its driverless technology. Xpeng claimed that the LiDAR would help improve accuracy when distinguishing pedestrians, cyclists, and scooters to keep others on the road safe. The company says it would be advantageous in low-light conditions as well. Xpeng has equipped XPILOT, a driver assistance system that includes some autonomous features that can be accessed if a driver is attentive. XPILOT was recently updated to version 3.5 that will equip an improved version of the Navigation Guided Pilot, or NGP, which can overtake cars and change lanes autonomously. The update will allow the features to operate on city streets as previously outfitted for highway use exclusively.
Tesla rival Xpeng to use LiDAR, deviating from lawsuit of former employee
“In P7, we launched NGP…only on highways. But highway driving only occupies like 10% of peoples’ driving time. Being able to bring the technology and the capability to cities is very important to make the feature more usable and more compelling to Chinese customers,” Wu said in the CNBC interview. City driving presented “exponentially” more issues than highway driving, Wu said. “We believe with Lidar…it will help us achieve our goal much faster and gives us an edge against our competitors.”
The P5 has the opportunity to help Xpeng grow its sales figures; it delivered 27,041 cars last year. With an affordable price tag and an increasing thirst for electric vehicles in China, Xpeng’s P5 could help the automaker compete with some of the Chinese EV industry’s biggest names. “We are definitely a step, a few steps ahead, you know, as compared to most of our competitors. So we are pretty confident that we can win this race even with more newcomers into this space,” Wu added.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
