News
The Tesla Semi’s 500 kWh battery and Convoy Mode are grossly underestimated
The Tesla Semi may be delayed for quite some time now, but it appears that Elon Musk’s all-electric Class 8 truck will be well worth the wait. And as the upcoming truck gets closer to mass production, it is becoming more and more evident that the Semi’s potential—particularly with regards to its batteries and FSD features—remains grossly underestimated.
During a recent appearance at the Joe Rogan Experience podcast, Elon Musk revealed that the Semi would be equipped with a 500 kWh battery pack. The Tesla CEO did not specify which variant of the Semi will be fitted with a 500 kWh pack, though speculations from the electric vehicle community suggest that the battery would be for the truck’s 300-mile variant. However, even if this were the case, such an update provides a glimpse at just how far Tesla has come when it comes to its battery technology.
“You want something in the order of probably a 500 kWh pack. What we have in the Model S and X is a 100 kWh pack and probably something like a 500 kWh pack in the Tesla Semi,” Musk said.
When the Semi was unveiled in late 2017, Tesla noted that the vehicle would consume less than 2 kWh per mile. Considering that the Tesla Semi’s two variants are listed with 300 and 500 miles of range, estimates pointed to the vehicle having a battery pack that’s likely around 600 kWh to 1,000 kWh. Musk’s recent update suggests that Tesla has improved its batteries to such a degree that the Semi now needs a smaller battery pack to accomplish its 300-mile range target. This may seem like a minor change, but a smaller battery pack presents numerous advantages, such as lower weight and significant production cost savings. These all contribute to make the 300-mile Tesla Semi a viable and competitive vehicle, especially considering its estimated $150,000 base price.
Of course, these advantages only become more prominent if one considers the benefits of Tesla’s structural 4680 battery packs. With structural batteries in place, the Semi could save weight and production costs even further. A structural battery could also make the Semi more rigid, allowing it to be even safer than its initial iterations. This goes hand in hand with another update on the vehicle that was mentioned by Tesla, and one that is also widely ignored or at most underestimated today.
During Tesla’s Q4 FY 2020 earnings call, Elon Musk confirmed that the Semi might very well be the first vehicle in the company’s lineup that would receive full autonomy features. This was a point highlighted by both Elon Musk and Automotive President Jerome Guillen, who noted that the FSD hardware on the Semi would be the same one used in Tesla’s other vehicles. Musk, for his part, pointed out that the Semi’s FSD features will require Tesla to modify the FSD software’s parameters according to the Semi’s large size.
Perhaps one thing that is rarely mentioned is that when the Semi was unveiled in 2017, Elon Musk remarked that the vehicle was already capable of utilizing a feature called “Convoy Mode,” which optimizes efficiency while allowing several uncrewed trucks to follow a lead, crewed vehicle. If Musk’s statements were accurate and Convoy Mode was already feasible with Enhanced Autopilot’s capabilities in late 2017, then such a function would likely be extremely plausible today with the Full Self-Driving Beta. This should make the Semi safer to use than traditional long-haulers, most of whom are still manually driven. Couple this with the Semi’s functions like its four electric motors, which help prevent incidents like jackknifing, and the upcoming all-electric Class 8 truck has a shot at becoming one of the safest large vehicles on the road today.
Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.
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
