Former Tesla 4680 battery cell production engineer James Herbermann has been named Vice President of Manufacturing at the American Battery Factory (ABF).
“James brings to American Battery Factory incredible perspective and front row experiences in evolving battery cell technology and is the perfect complement to our team as we begin our journey to develop a domestic battery manufacturing ecosystem that will make energy independence and renewable energy a reality for the United States,” ABF CEO and President Paul Charles said. “As we lay the foundation for our factory network, I am confident James’ cross-functional leadership will not only enhance the efficiency of ABF’s modular approach to manufacturing, but it will also propel our unwavering quest to develop the longest-lasting LFP prismatic battery cells on the market.”
James Herbermann, formerly with Tesla, joins American Battery Factory as its new Vice President of Manufacturing.
ABF is working to develop the United States’ first network of Lithium-Iron Phosphate, or LFP, battery cell gigafactories. The LFP cell is a major part of many automakers’ plans for future electric vehicles as more cell chemistries are being utilized to combat excessive demand. Tesla, for example, started transitioning its Standard Range trim levels to LFP batteries last year. The automaker confirmed that it would utilize the cell chemistry in lower range vehicle as they are less expensive and have longer lifespans. They do have their disadvantages, especially in terms of energy density, which means less power and range with EVs that utilize these packs. They are also more likely to be affected by adverse weather conditions, especially in colder climates.
CEO Elon Musk has said in the past that LFP packs want to be charged to 100 percent, as opposed to nickel-based packs that prefer a 90 percent state of charge.
Tesla is just one of the companies working to use LFP cells. Rivian, Ford, and Volkswagen are also utilizing the cell chemistry for some of their vehicles. Therefore, the need to produce more cells to provide automakers and customers with suitable options is definitely a work in progress.
Tesla (TSLA) Q1 2022 earnings results: Another beat with 19% operating profit and margin
ABF is working to eliminate LFP shortages with a series of production plants across the U.S., and the company is looking for Herbermann to lead and support all aspects of its manufacturing and production operations. Prior to ABF, Herbermann worked at Tesla to lead the development and scaling of its new battery electrode processes in Austin from the pilot program to a full-scale production process. He was a direct piece of Tesla’s commercialization of the 4680 cells, which has been installed in early builds of the Model Y from the new Austin factory. Additionally, Herbermann has developed “novel Sodium Titanium Phosphate; F1 racing Li-Ion cells; Aquion Hybrid Ion (AHI®); Duracell Ultra®; Comfort Plus® modular carpet tiles; and ZIP Wall® sheathing,” a press release from ABF said.
“I am inspired by ABF’s mission to develop a domestic supply chain for LFP batteries, especially in light of the pandemic’s crippling effect on availability and our country’s glaring void in battery cell manufacturing,” Herbermann said about his new role. “With its strategic approach of constructing a network of modular rapid construction factories near or onsite at pack integrators and energy solution providers, ABF is on track to solve one of the planet’s most pressing energy needs. I look forward to being a part of this impactful work.”
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
