On Sunday, February 6, the United States Postal Service (USPS) announced plans to submit an initial order for 5,000 electric delivery vans. The announcement was made to show that the USPS is committed to the fiscally responsible rollout of electric-powered vehicles for America’s largest federal fleet.
The Postal Service also announced plans to achieve 70% fleet electrification within the decade. Postmaster General and USPS Chief Executive Officer Louis DeJoy stated that the Postal Service would be open to increasing its number of electric vehicle orders “should additional funding become available.” The Postmaster tried to elaborate on the USPS’ financial challenges of committing to operating a cleaner Postal vehicle fleet.
“Moreover, comparisons of the Postal Service to private sector multi-national corporations that report yearly profits in the billions of dollars, and that are not required to go to 161 million delivery addresses in all climates and topographies six days per week, are not relevant in view of our perilous financial condition and universal service mission,” DeJoy clarified.
“We will be resolute in making decisions that are grounded in our financial situation and what we can realistically achieve while pushing hard to take delivery of safer, cleaner vehicles by next year. Given our large fiscal deficits and significant financial challenges, Congress is well aware of the additional resources that would be required if Congress would prefer the Postal Service to accelerate the electrification of our delivery vehicle fleet as a matter of public policy,” he explained.
The agency’s recent announcement stated clearly that the Postal Service generally does not receive tax dollars for operating expenses. It relies on postage sales, products, and services to fund its operations.
USPS’ New Delivery Van
On February 23, 2021, the USPS announced a 10-year contract with Oshkosh, WI, to manufacture a new generation of U.S.-built postal delivery vehicles. At the time, the agency stated that the new delivery van from Oshkosh would “drive the most dramatic modernization of the USPS fleet in three decades.”
As per the contract’s initial $482 million investment, Oshkosh was supposed to finalize the production design of the agency’s Next Generation Delivery Vehicle (NGDV). The agreement also stated that Oshkosh would assemble 50,000 to 165,000 NGDVs for the USPS. Last month, the NGDV’s design was showcased during CES 2022 in Las Vegas.

Biden Administration Pushes Back on the NGDV
Last week, members of President Joe Biden’s administration sent letters to the Postal Service, urging the agency to reconsider its plans to buy mostly gas-powered vehicles to upgrade its fleet. The agency’s plans to spend up to $11.3 billion on as many as 165,000 new gas-powered delivery vans in the next decade could have major implications for President Biden’s goal to convert federal cars and trucks to clean energy. The Postal Service fleet makes up a third of the US government’s fleet.
Accoring to the USPS, the NGDV is larger and has a more fuel-efficient internal combustion engine compared to the currently deployed Long Life Vehicle (LLV). The NGDV’s fuel economy is 14.7 MPG when air conditioning isn’t running compared to the LLV’s fuel economy of 8.4 MPG, which does not have an AC system. The new Postal delivery van will be fitted with safety features like 360 degree cameras, front and rear braking, and a driver airbag.
However, the USPS also designed the NGDV to accommodate advancements in technology in its 20-year life. The Postal Service declared that the NGDV has a platform that could be equipped with either an internal combustion engine or battery electric drive train.
The agency stated that its cost estimates—presumably referring to costs related to the NGDV—included the price of charging infrastructure. It plans to charge delivery vans in bulk at USPS facilities. The Postal Service is analyzing state and local electrical grid capacity to determine any potential upgrades it needs to implement at the grid-level.
Below is a letter from the White House to the USPS.
USPS Letter 2022 by Maria Merano on Scribd
The Teslarati team would appreciate hearing from you. If you have any tips, reach out to me at maria@teslarati.com or via Twitter @Writer_01001101.
Elon Musk
Tesla AI Head says future FSD feature has already partially shipped
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.