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Tesla Model S P100DL racing series Electric GT hits another delay
Back in April, the Electric Production Car Series, better known as Electric GT, revealed an eight-round calendar for its inaugural season, which was expected to begin this November at Jerez, Spain. The organization later unveiled its first race-ready vehicle, a highly-modified Tesla Model S P100DL, that is optimized for the track. Unfortunately, recent updates from Electric GT indicates that the racing series would be delayed yet again.
Electric GT was originally expected to begin in 2017, but delays forced the organization to push back the debut of the all-electric, Tesla-exclusive racing series. This time around, EGT noted that it was delaying the launch of the series since it is still seeking a lead investor. In a statement to Autosport, EGT CEO Mark Gemmell stated that almost everything is ready — from the series’ racing categories, FIA approval, and technical and broadcast partners. With an investor in the picture, Gemmell noted that the racing series could begin as early as the first half of 2019.
“Accelerating development in both electric mobility and sustainable energy means ‘The Age of Light’ will fast be with us. The Age of Light is a vision that has driven us for over three years to build an Electric Production Car Series that excites and inspires, and it is now close to final launch. Almost everything is ready: we’ve developed three fantastic race categories, received FIA approval and welcomed new technical and broadcast partners.
“The final ingredient is confirming a great lead investor who shares our vision of clean energy and transport, which is fundamental to launching the championship at the highest level possible. The championship start date will be set once this lead investor has been confirmed. As any start-up, we adapt and test our strategy to make sure the timing is right and the market ready. In creating an engaging and inclusive championship, we want to be open with our fans and supporters as we close in on this final step to bring the racing we all want to see.”
Last July, Electric GT showcased its first track-optimized Tesla Model S P100DL, where it was test-driven by veteran auto host Tiff Needell, who drove the vehicle around the Circuit de Barcelona-Catalunya in Barcelona. Needell, a former racing driver and presenter for programs such as Top Gear and Fifth Gear, was largely impressed with the track-optimized Model S P100DL, as the vehicle was powerful and it remained planted on the road despite performing aggressive maneuvers on the racetrack.
Unfortunately, Needell’s track session was cut short when Electric GT’s race-modified Model S P100DL exhibited heating issues after one lap and a half of hard driving, forcing the former racecar driver to head over to the pits, where the P100DL had to be cooled down. A spokesperson from EGT later issued a statement about the incident, explaining that the heating issue was caused by one of the vehicle’s outdoor temperature sensors from the air conditioning system being disconnected.
The Tesla Model S P100DL is a monster on straight-line races, but its limitations on the track are well documented. Electric GT is aware of this, and it has developed a system that could address the vehicles’ heating issues. The organization plans to introduce a system that would allow drivers to manage how much of the vehicle’s power they wish to use. Thus, to avoid overheating, drivers could opt to drive with a more manageable 470 hp, and only unleash the Model S P100DL’s full 778 hp when sprinting or overtaking. The Electric GT spokesperson noted that for the inaugural season, at least, the system will be “part of the strategy and part of the show.”
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.”
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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
