News
Tesla owner converts Model S 75D to P100DL on the cheap with Rich Rebuilds
Tesla owner and automotive enthusiast Rich Rebuilds is known for his crazy vehicle modifications and salvage electric car initiatives. For his most recent project, Rich opted to upgrade a Model S 75D to a P100DL for an owner who wanted a Tesla with more range, power, and speed without buying a whole new car altogether.
The Model S 75D in question belonged to a close friend who was interested in getting a vehicle with better specs and performance. At first, the owner attempted to trade-in his Model S 75D for a P100DL. However, Tesla’s trade-in offer was not up to the owner’s expectations, so he came to Rich for help with the upgrade.
The owner then obtained a P100DL that was involved in an accident for $30,000. Despite the vehicle being totaled, its electric motor and battery were usable. The upgrade process required Rich and the team at the Electrified Garage to remove the 75D’s rear drivetrain and battery, which packs 329 horsepower and an EPA-estimated 259 miles of range.
The first step of the project required the removal of the 75D’s drive unit. The swap was a straightforward step that required the removal of a few nuts and bolts, along with the disconnection of the drivetrain’s coolant tubes and power cables. Then, the removal of the 75 kWh battery pack was next, another relatively easy step.

The removal of the battery pack is not usually necessary for drivetrain replacements. However, for the Model S 75D to be upgraded adequately to a P100DL, the two vehicles’ battery packs needed a swap. The differences between the motors required a replacement of power cables from the motor to the front junction box as well, which sits near the front of the vehicle. According to the Tesla Model S Owners Manual, “The front junction box provides power to various components, such as the Battery heater, the air conditioning compressor and the cabin heater.”
The team ran into a small issue when replacing the rear junction box. The cables from the 75D’s junction box lock into the part, so the Electrified Garage team chose to swap out this junction box with a component from the P100D. Additionally, the Model S 75D’s drivetrain harness was too small to handle the P100D’s motor, so the team had to utilize the performance version’s harness, which required a complete swap out as well.

The cooling systems between the two vehicles were also slightly different and required attention. The 75D’s cooling system only utilized one line and is cooled by oil with a heat exchanger installed. The P100DL’s drive unit, on the other hand, has two coolant lines which connect directly to the motor itself. This step required a small modification from the Electrified Garage team so the vehicle would operate correctly.
After completing the project, the owner took the 75D’s motor and battery, along with the rest of the P100D, and sold them. The project set the owner back only $33,000 in total, including $9,000 in labor costs from the Electrified Garage.
The upgrade in drivetrain and battery pack for the Model S 75D gave ultimately resulted in a Model S P100DL for a vastly reduced price. In the case of Rich’s recent project, the owner was able to obtain more range, speed, and horsepower without spending about $100,000 for a new Model S P100DL.
Watch Rich Rebuilds’ video on the Tesla Model S 75D conversion to a P100D below.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.