Tesla China recently held in-depth discussions with members of the media from Shanghai, Guangzhou, Chengdu, and other cities to discuss several pertinent topics related to the company, its operations, and its vehicles. David Lau, Vice President of Global Software Engineering at Tesla, spoke during the media event.
The topics discussed included “How Tesla Cultivates Top Engineers” and “The Intelligent Capability of the New Model S/X.” But more importantly, the event focused on how Tesla’s “Plaid Mode” translates not only to the Model S and Model X’s 0-60 mph launch — it also applies to the company’s software development. As such, other topics discussed during the media event were “Enabling Plaid Mode in Software Development” and “How Tesla’s Software Development Maintains Plaid Speed.”
“Tesla has always been challenging tradition, challenging industry conventional thinking, and challenging its own comfort zone… This is indeed difficult, but as long as we keep pushing ourselves to continuously break through boundaries, there is nothing that cannot be achieved,” Lau said at the event, whose local media notes were shared by an attendee to Teslarati.
The Tesla executive also highlighted that Elon Musk’s references to “Plaid” being beyond “Ludicrous” lies beyond pop culture. It also represents an engineer culture with a persistent — if not stubborn — pursuit of disruptive innovation and breakthroughs. This way of thinking appears to have worked, as surveys of engineering students from North America by consulting firm Universum showed that Tesla had become one of the most attractive automotive companies in the industry. In 2020, Tesla was ranked first in the list of companies that engineering students want to work for the most.
“At Tesla, teams have a persistent pursuit of disruptive innovation and breakthroughs. For example, daily discussions revolve around topics such as ‘how to reduce wiring and weight to simplify design,’ ‘how to improve display performance while reducing costs,’ and ‘how to strengthen the technical security network.’ Continuously creating an engineer-friendly atmosphere and attracting a large number of industry experts to Tesla is aimed at achieving a common goal – accelerating the world’s transition to sustainable energy,” Tesla China’s media release noted.
During the event, attendees from the media showed particular interest in the new Tesla Model S and Model X, which feature the best that the electric vehicle maker could offer today. The executive highlighted that the new Model S and Model X are benchmarks since they play the parts of a “family car” and a “super performance car” at the same time. And thanks to the company’s work in in-vehicle tech, the new Model S and Model X have also become capable “in-car gaming systems” whose performance allows users and passengers to play premium titles.
While Lau’s discussions on how Tesla’s “Plaid” philosophy and the new Model S and Model X were compelling, his comments while discussing the company’s identity as a software-defined automaker were also very interesting. As noted by the executive, Tesla’s software work has been setting benchmarks for a very long time. Lau joined the company way back in 2012, and at the time, Tesla already had the capability to improve its vehicle controllers through over-the-air (OTA) software updates. Rival carmakers were only able to update their entertainment systems at most back then.
“Many people think that the vehicle itself is a completely independent system, but in the Tesla software team’s view, the vehicle software system is only a part of the large software system. The implementation of a large number of vehicle software functions requires consideration of the network and service system. We hope to provide timely feedback on corresponding functions according to customers’ real-time driving experience and continuously optimize the user experience,” Lau said.
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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.”
News
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
