Update 12/22 4:57 PM: Updates to reflect accuracy in paragraphs 4 and 6.
This morning, a video posted on TikTok shows the Walmart drone delivery system in action.
As the battle for e-commerce dominance has escalated over the past few years, Walmart has taken to the skies to battle with Amazon to be the first to offer drone delivery of customer orders. Today, Walmart’s system was demonstrated and explained in a video on TikTok.
Walmart’s drone delivery system is being created in partnership with a company called Zipline, which designs and manufactures drones and their autonomous flying systems. The video, originally posted by user victorbravo248 on TikTok, shows a Zipline drone getting loaded with a package, being assembled on its launching system, and taking off.
@victorbravo248 Walmart drone delivering #technology #delivery ♬ original sound – victor bravo
Zipline’s drone is unlike the drones that many people have become familiar with. Instead of a traditional “quad-copter” design, it is more like a plane with a set of wings and two motors: one rear-facing and one forward-facing. As seen in the video, each drone can hold a single package, which is then dropped with a parachute as the drone flies over the customer’s house. The drone flies and lands autonomously and is expected to make several package deliveries daily.
Walmart is also working with competitor DroneUp which produces more traditional drone technology for package delivery using a quad-copter design. This is the more ideal design for dense urban areas where space and package delivery areas would be hard to come by.
According to Zipline, each drone has an operational range of 50 miles from any launch point and has already proven itself in nearly 500,000 commercial deliveries worldwide since 2016. One commercial delivery is completed every two minutes. The drone requires only basic infrastructure, including its launching device, landing tower, and an area for loading and assembling.
@victorbravo248 Part 2 #delivery #technology #walmart #sanbenito ♬ original sound victor bravo
Walmart first secured its deal with Zipline in 2020, and since then, the program with Walmart and Zipline as a company have grown. Walmart is completing initial testing in its home state of Arkansas, and Zipline has expanded to numerous other sectors. Notably, Zipline now works to deliver health supplies and humanitarian aid to many countries in Africa.
“Zipline’s autonomous aircraft presents an incredible opportunity to offer customers an on-demand delivery option for the items they need now, such as a thermometer, non-prescription medication, or an emergency pack of diapers,” said Tom Ward, senior vice president of Last Mile Delivery, Walmart U.S. “Even more, Zipline’s aircraft can help provide immediate access to needed items for both hard-to-reach and at-risk populations, such as rural communities and elderly customers. By bringing this game-changing technology to the rural community of Pea Ridge, Arkansas, we’re continuing to look for ways to make shopping with Walmart convenient and easy – for everyone.”
Walmart has not specified when the drone delivery program will be expanded to other service locations. But if recent statements and Zipline’s recent approval from the FAA are anything to go by, it could be coming sooner than many would think. Furthermore, the drone program could likely aid Walmart’s aggressive sustainability push, only further incentivizing the company to make the program public sooner rather than later.
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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
