News
LG Energy Solution and Honda announce U.S. EV battery plant, incentives take focus
Korea’s LG Energy Solution and Japan’s Honda Motor Co. have announced they will build a lithium-ion battery manufacturing plant in the United States. The collaboration between LG Energy Solution and Honda brings yet another large-scale EV battery manufacturing project to the United States, following CATL and Panasonic, as President Biden’s Inflation Act will now focus on domestically-produced electric vehicles and components.
LG Energy Solution and Honda’s joint venture will see a total investment of $4.4 billion to establish a battery plant with an annual capacity of approximately 40 GWh. For comparison purposes, Tesla’s Gigafactory Nevada, which jointly produces battery cells and packs with Panasonic in Sparks, Nevada, had an annual output of 37 GWh in 2020.
LG Energy Solution and Honda will build pouch-type batteries at the joint venture facility, which could land in Ohio near Honda’s vehicle manufacturing plant. Pouch-type batteries differ from the traditional cylindrical design and are usually lighter weight and more flexible. They are also extremely safe and stable, but due to their design, there is a high possibility of leaking due to puncturing the cell or overheating. The development of pouch cells is usually more expensive than cylindrical cells.
The joint venture will begin to take shape after it is officially established later this year. Meanwhile, the plant’s construction is planned to begin in early 2023. Mass production is set to begin by the end of 2025.
LG Energy’s CEO, Youngsoo Kwon, said:
“Our joint venture with Honda, which has significant brand reputation, is yet another milestone in our mid-to-long-term strategy of promoting electrification in the fast-growing North American market. Since our ultimate goal is to earn our valued customers’ trust and respect, we aspire to position ourselves as a leading battery innovator, working with Honda in achieving its core initiatives for electrification, as well as providing sustainable energy solutions to discerning end consumers.”
Additionally, President, CEO, and Representative Director of Honda, Toshihiro Mibe, said:
“Honda is working toward our target to realize carbon neutrality for all products and corporate activities the company is involved in by 2050. Aligned with our longstanding commitment to build products close to the customer, Honda is committed to the local procurement of EV batteries which is a critical component of EVs. This initiative in the U.S. with LGES, the leading global battery manufacturer, will be part of such a Honda approach.”
LG Energy Solution also has joint venture agreements with General Motors, and Hyundai, among others.
How the Inflation Reduction Act has brought EV battery plans to the U.S.
The establishment of the Inflation Act brought on a $430 billion climate, health care, and tax bill that focuses on bringing the transition to EVs closer to home. Vehicles built outside of North America will no longer be eligible for tax credits, the bill said. Electric vehicles offer considerable rebates and tax credits, most often worth $7,500, as long as the manufacturer has not already sold 200,000 electric units, according to current rules. Tesla, General Motors, and, most recently, Toyota have reached the 200,000-vehicle cap.
According to Reuters, around 70 percent of the 72 current EV and plug-in hybrids on the U.S. market would no longer qualify for tax credits under the new rules. This has made those pushing for electrification efforts rethink their strategies as the United States is looking to make major changes in EV market share goals in a short period of time. California has already committed to selling its last new gas-powered vehicle in 2034, with a ban taking effect in 2035.
However, sourcing components and parts for EVs also will become a key factor in whether the vehicle qualifies for EV tax credits. By 2024, EV manufacturers are required to source at least half of their battery components in the United States or an allied country. By 2026, this number has to increase to 80 percent and will ultimately reach 100 percent in 2029, with all battery manufacturing taking place in North America.
These new stipulations have made manufacturers scramble their plans to align with the new Inflation Reduction Act, and will hopefully encourage automakers to make a more accelerated and deliberate change in terms of electrification plans.
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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
