News
Musk’s Boring Co reveals plan to support Hyperloop in published FAQ
Elon Musk’s plan to integrate Tesla electric sleds traveling through underground tunnels dug by The Boring Company will also include support for vacuum-sealed tunnels used by 600+ mph Hyperloop Pods.
The reveal comes from the company’s newly published Frequently Asked Questions page that does away with introductions and cuts straight to the chase.
“A large network of road tunnels many levels deep would fix congestion in any city, no matter how large it grew (just keep adding levels). The key to making this work is increasing tunneling speed and dropping costs by a factor of 10 or more – this is the goal of The Boring Company. Fast to dig, low cost tunnels would also make Hyperloop adoption viable and enable rapid transit across densely populated regions, enabling travel from New York to Washington DC in less than 30 minutes.” reads the FAQ.
The company isn’t even traveling at a snail’s pace, yet it has big plans to do just that – dig tunnels faster than a snail travels. In this case, resident snail Gary (who lives in a pineapple under the sea) can move at 14 times the speed of a Tunnel Boring Machine (TBM) and represents the target speed for the company’s boring machines.
The Boring Company’s pet snail named Gary
The Framework for Hyperloop
The FAQ sheet broke news that Musk and the team at The Boring Company, in cooperation with Tesla, are planning to build tunnels that can support multi-payloads including that of a Hyperloop Pod. In addition to enabling travel and transport at much higher speeds, this addition is likely to set the Tesla electric sled platform as the standard track that will be used to support mobility of the Hyperloop Pod.
Certain segments of the underground tunnels will have a vacuum shell, if not the entire track, that will allow the tunnel to be held at vacuum. Long distance travel would likely be performed in tunnels held at vacuum, enabling for higher speeds of travel. This format of local versus long distance is the same used by train systems in Europe that have different trains and tracks depending on train speed and distance of travel.
Converts Internal Combustion Vehicles into EVs
Another upside of the system is that it enables the conversion of internal combustion vehicles into zero emission vehicles. When a traditional petroleum powered vehicle is moved onto an electric sled, it will be moved through a system that emits zero emissions. This eliminates the emissions these vehicles would have emitted if they would had ordinarily travelled by road to their destination.
Many people will take Hyperloop Pods to their destinations due to the lower cost of travel. Logistics companies will also shift payload transportation to the tunnel system due to the lower cost as a result of not having a driver, higher speed and automated control over the load. With all of this traffic moving to the conceptual tunnel-based transportation system, it has the potential to radically slash the amount of transportation related emissions and demand for fossil fuels.
If the petroleum industry wasn’t paying attention to Musk and the impact Tesla may have on automotive related fuel consumption, this announcement is surely the wake up call they needed.
Earthquake!
Hollywood thrillers over the years have cast subway systems as the perfect set for apocalyptic thrillers where only a muscular hero armed with backpack full of lithium ion batteries, a stick of bubblegum and the copper from the wiring for the lights can save the day.
The truth, it turns out, is much different. The FAQs relay the facts that structural engineers have know for ages – that properly designed tunnels are one of the safest places to be during an earthquake. The tunnels is not subject to surface forces and instead of resisting the movement of the earthquake, moves with the ground.
Dirty Business
When tunneling in the Minecraft video game, the tunnel materializes and the blocks smashed with a pickaxe or sword simply disappear or move into inventory. The real world is unfortunately not so simple, but The Boring Company has plans to make it just a bit more like Minecraft.
Two major challenges with traditional tunneling are the massive amount of earth being displaced by the tunnel and the equally as challenging amount of concrete that is required to seal the circumference of the tunnel. To solve these challenges together, The Boring Company hopes to develop a process for using the resulting soil to produce earthen bricks. These bricks could even be used as a component of the tunnel lining itself or simply sold as a product.
This is yet another piece of evidence that Tesla truly is attempting to create Minecraft in the real world, reviving the ancient practice of crafting bricks from dirt.
In addition to turning a liability into an asset, this has the potential to drastically cut the amount of concrete used in the production of the tunnels it is constructing. Because of the sheer mass of concrete and the effort required to extract its components, and ship them to the destination, concrete production accounts for a staggering 4.5% of the world’s greenhouse gas emissions. The Boring Company hopes to take a chunk out of those emissions by using bricks where possible in the construction of its tunnels.
Where The Boring Company will go from here is anyone’s guess but this latest update makes it clear that Musk is never willing to settle for the status quo, and always begins working from the ground up – or in this case, from the ground down – when moving into a new business.
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
