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Tesla’s next-gen Autopilot and infotainment hardware already in development: report
Tesla is not done rolling out its Hardware 3 retrofits to vehicles with HW2 and HW2.5 yet, but the company is already at work developing its next-generation hardware, according to a recent report from Chinese media. This new hardware will reportedly be produced using the 7 nm process, and it will be utilized for numerous functions, from Autopilot and Full Self-Driving to infotainment features.
A new report from China Times has noted that Tesla is working with Taiwan Semiconductor Manufacturing Co. (TSMC) to develop its next-generation hardware. Elon Musk alluded to these efforts last year during Autonomy Day, when he stated that while Hardware 3 will be revolutionary, Tesla is already working on a next-generation chip that will be around 3x better than HW3. Musk noted then that the yet-to-be-announced chip was about two years from production.
Interestingly enough, the report from the Times mentioned that the next-gen 7 nm Tesla chip will be set for mass production in the fourth quarter of 2021, over two years after Autonomy Day. The report also suggested that a trial production run for the next-generation chips could begin as early as the fourth quarter of this year, though these units will likely be used for validation.
“Broadcom and Tesla are cooperating to develop ultra-large HPC chips for automotive use. They are produced using TSMC’s 7nm process and are the first to use TSMC’s SoW advanced packaging technology. Each 12-inch wafer can only be cut out. 25 chips. Production of the new chips will begin in the fourth quarter, with an initial production of about 2,000 wafers. It is expected to enter the full mass production stage after the fourth quarter of next year,” the report read.
According to the Times, Tesla’s next-gen chip will be utilized for a variety of in-vehicle functions, including Autopilot’s driver-assist features and entertainment functions. Thanks to its efficient design, the 7 nm next-gen chip will likely be optimized for full self-driving as well, which should benefit the company’s ramp of its planned Robotaxi network.
“It is understood that the HPC chip created by Broadcom for Tesla will become the core computing special application chip (ASIC) for Tesla electric vehicles in the future, which can be used to control and support advanced driving assistance systems, electric vehicle power transmission, and car entertainment. The four major application areas of automotive electronics such as systems and car body electronic components will further support the real-time computing required for self-driving cars. The HPC chip jointly developed by Broadcom and Tesla should be an important cooperation project from electric vehicles to self-driving cars,” the Times wrote.
Tesla is yet to complete the Hardware 3 retrofit of vehicles that were bought with the Full Self-Driving suite and Hardware 2 and 2.5, with owners from areas such as Europe and Australia noting that they are yet to receive the promised HW3 unit. Considering that the company appears to be making progress on the development of its next-generation hardware, it would benefit the EV community greatly if Tesla could expedite its HW3 retrofit ramp to vehicles across the globe. This is especially notable considering that the company is making headway in its efforts to roll out a feature-complete version of its FSD suite as soon as possible.
Read the China Times‘ full report on Tesla’s next-generation hardware here.
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
