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Musk, Straubel, and Panasonic exec talk about the Gigafactory
The world is beating a path to the Tesla Gigafactory in advance of the grand opening celebration on Friday. Wednesday evening, Elon Musk, JB Straubel, and Panasonic executive vice president Yoshihiko Yamada took questions from the press in a wide ranging discussion that covered many topics. Here are some of the highlights.
On the Gigafactory
Musk: “The factory itself is considered to be a product. The factory is the machine that builds the machine. It actually deserves more attention from creative and problem solving engineers than the product it makes. What we’re seeing, if we take a creative engineer and apply them to designing the machine that makes the machine, they can make 5 times as much headway per hour, than if they work on the product itself.”
Then he added, “It may sound a little strange and sentimental but I find it to be quite romantic. The final shape will be a diamond, aligned on true north, I like that. It seems incredibly romantic. By the way there’s 10,000 wild horses in the area. They just hang out. We have construction ponds for water, so its quite cool to see the horses drink from the construction ponds.”
Yamada: “Three years ago I thought this gigantic Gigafactory idea was crazy. Because then the production of the factory would exceed production of the industry. I thought it was a crazy idea. But I was crazy, and I was wrong after seeing extreme success of the announcement of the Model 3 and the strong demand.”
The 2170 Battery Format
Straubel: “We’ve spent a lot of time on this actually. It’s kind of interesting. There are a bunch of trade offs. There are some things that get better when you make the cell size bigger, and some things that get worse. 18650 was sort of an accident of history. That was what was standardized for early products. So we revisited all of those trade offs and came to this size, which is quite a bit bigger. If you have them next to each other, the actual volume of materials inside is substantially more. And overall it’s about cost optimization.”
Musk: “It really comes from the first principles of physics and economics. That’s the way we try to analyze everything. To say like if no cell existed in the world, what size should it be? What is the size that would achieve the product characteristics we’re looking for, but would be fundamentally optimal? 18650 is not optimal.”
Paying For The Gigafactory
“One part of that is working with strategic partners like Panasonic. We are seeing very good participation from our supplier for the capital costs of the Model 3 ramp. So we are going to fund it by Model S and Model X revenue, with money we have right now, with potentially a modest capital raise, but not a significant one. In a nutshell, there may be a capital raise, but it’s not going to be a huge one.”
Panasonic’s Relationship With Tesla
Yamada: “I want to explain to you the relationship with Tesla and Panasonic. I used to be in charge of components five or six years ago. At that time our relationship with Tesla was one of supplier and customer. A conventional business relationship.
“But since we started discussion on the Gigafactory that’s completely changed. One example, is production capacity is now two or three times more. Why? Because Tesla and manufacturing people worked together. We are discussing these details. This type of relationship is quite new for business. We are not the simple buyer and supplier relationship.”
Musk had a great deal more to say about ramping up for production of the Model 3, solar power and energy storage. We will cover those topics separately.
Source and photo credit: Fortune
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
