News
Tesla’s ‘Roadrunner’ cell production facility is taking form ahead of Battery Day
Tesla’s Battery Day is only a few weeks away, and as the electric vehicle community eagerly waits for the highly-anticipated event, the company’s pilot battery production line appears to be well on its way to being completed, and perhaps even ramped. This was hinted at by a recent drone flyover of Tesla’s building at Kato Road, located close to the company’s Fremont factory.
Footage taken by a Tesla enthusiast who runs the Living with Intent channel on YouTube shows that the expansion of the Kato Road facility is well on its way. Based on the short video taken of the site, it appears that much work is being done inside the building, as hinted at by the massive amount of materials that are seemingly waiting to be taken inside the facility. The extra floor that Tesla has been constructing is also showing progress since it was initially photographed early last month.
Tesla is a disruptive company that moves fast, and thus, sightings of facilities with ongoing improvements are not really new. However, the Kato Road building is quite unique in the way that it is expected to house the pilot line for Tesla’s own battery production system. Elon Musk has been pretty open about his enthusiasm for Battery Day, stating that the event will likely blow people’s minds. At the same time, the CEO also suggested that the event will include a tour of Tesla’s in-house battery cell production setup.
This cell production system is the first of its kind, as Tesla has partnered with other battery firms in the past. Panasonic is a key partner in Gigafactory Nevada, while LG Chem and CATL are partners for Gigafactory Shanghai. But while Tesla reportedly continues to work with its partners to make better batteries, the company is also hard at work developing its own cell production capabilities. This was hinted at during the 2019 Annual Shareholder Meeting, when company executives described the effort as a step towards Tesla becoming the master of its own “destiny.”
Filings to the City of Fremont suggest that Tesla’s Kato Road facilities will be utilized for the “Roadrunner” project, which refers to the company’s own custom battery cell production line. Tesla’s “Roadrunner” cells have not been discussed in depth by the company yet, but speculations and reports suggest that the batteries are next-generation lithium-ion cells that are capable of lasting a million miles. Such batteries could make a big difference for Tesla’s flagship products like the Plaid Model S and the Megapack.
Once completed, the Kato Road facility is expected to house about 45 research and development employees and up to 425 manufacturing workers that are spread through several shifts from Monday to Friday. This may allow the pilot cell production line to produce enough batteries for low-volume vehicles, perhaps like the Plaid Model S and the new Roadster. Tesla has since opened a number of job openings related to cell manufacturing that are seemingly for the Kato Road location as well. Among these job listings are Cell Engineers, Production Process Engineers, and Controls Engineers, all of which were listed as based in Fremont, California.
Watch a recent footage of Tesla’s “Roadrunner” site in the video below.
H/T JPR007.
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
