The United Auto Workers union, sixteen states, and four environmental groups recently filed lawsuits against the United States Postal Service (USPS). The groups aim to stop the Postal Service’s plan to purchase and produce gas-powered delivery vehicles to update its fleet.
Background
The USPS announced it would spend up to $11.3 billion on up to 165,000 gas-powered NGDVs. The Biden Administration urged the Postal Service to reconsider its plans. President Biden had ordered federal agencies to phase out the purchase of gas-powered vehicles, and the USPS makes up a third of the U.S. government fleet.
In March, the USPS received criticism from U.S. lawmakers in the House Oversight Committee for its gas-powered Next Generation Delivery Vehicles (NGDV). The Committee sent a letter to the USPS Inspector General requesting an investigation into the agency’s NGDV order. According to the Committee’s letter, the Environmental Protection Agency (EPA), the White House Council for Environmental Quality (CEQ), and numerous environmental stakeholders were concerned that the USPA did not meet NEPA obligations with its gas-powered NGDV fleet.
The USPS responded to EPA feedback with a record of decision (ROD), which outlined the Postal Service’s decision to purchase and deploy 50,000 to 165,000 NGDVs over the next ten years. The agency stated that the NGDV fleet would be a mix of ICE and battery electric delivery vans. Electric vehicles would make up at least 10% of the agency’s fleet. However, the Postal Service also determined that ICE NGDVs were the “most achievable” replacements for its existing fleet.
USPS Lawsuits by States
As per Reuters, sixteen states, led by New York and California, filed a lawsuit against the USPS for its flawed and unlawful environmental analysis of the NGDV program. The lawsuit also accuses the Postal Service of signing the contracts to purchase the gas-powered NGDV before completing a draft environmental review.
According to the CEQ, the Postal Service’s final review for the NGDV program was “flawed in some ways that cannot be so easily remedied.” For example, USPS estimated that the gas-powered NGDVs would get 29.9 miles per gallon, but the EPA discovered that the vehicles would only get 14.7 miles per gallon or less.
UAW and NRDC Lawsuit
Besides the states lawsuit, the UAW filed a joint lawsuit with the Natural Resources Defense Council (NRDC), claiming the USPS “failed on multiple levels” when it evaluated and finalized the contract for the NGDVs. The two parties demand that the agency stop producing the next-generation delivery vehicles. As per the complaint, the UAW and NRDC stated that the NGDV contract is “based on an unlawfully deficient environmental analysis issued after the Postal Service had already decided on a course of action.”
The two parties also criticized the agency’s Environmental Impact Statement (EIS). The UAW and NRDC claim that the Postal Service did not consider the impact NGDV production — opposed to the operation — would have on the local environment. The EIS did not disclose that the vehicles would be produced in South Carolina by Oshkosh Defense, a Wisconsin-based contractor.
“With this contract, USPS and Oshkosh Defense abandoned the Wisconsin workers that built the company and failed taxpayers with a sham process to evaluate the environmental and community impacts of these vehicles. The USPS’s Next Generation Delivery Vehicle is an opportunity for the Biden administration to reverse-court and make real investments in both a cleaner future and good union jobs The contract as it currently stands fails on both accounts. It’s time to halt production and start the procurement process over,” said Ray Curry, president of the United Auto Workers.
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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
