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Signs that Tesla may soon discontinue the Model X P90D

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It would appear that Tesla is anxious to sell down its stock of new Model X P90D cars according to the latest listing of inventory cars for sale by the Silicon Valley automaker. At the time of writing, nearly 85% of the vehicles listed on the company’s New Inventory page are for the Performance version of its 90 kWh Model X SUV which may suggest that production for the P90D may soon come to an end. With such a modest performance gap between the P100D and P90D, it makes sense to only offer one range topping configuration. But there may be more to the story.

Updated November 3, 2016: Tesla says goodbye to P90D Model S, X: P100D is the new king of the hill

Elon Musk has made it clear that people who opt for the P100D option in either the Model S or Model X are helping to fund development of the Model 3 — especially if the Ludicrous Mode upgrade is included. Tesla has a lot of balls in the air at the moment, especially with the proposed merger between it and SolarCity set to happen in less than a month. It needs to bring money in the door to calm nervous investors who fear the company his bitten off more than it can chew in terms of cash flow.

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Tesla lists 46 Model X P90D vehicles for sale on New Inventory page [Oct. 26, 2016]

It is racing to expand its Supercharger network in preparation for having more Teslas on the road once the Model 3 goes into production. It needs to open more stores and service locations. And it needs to fund the SolarCity acquisition. The P100D variant likely has the highest profit margin for the company. With the pressure to bring cash in the door paramount at the moment, this is the perfect time to drop the less profitable P90D and maximize income.

Looking beyond the immediate moment, however, Tesla has always preferred to have two basic battery packs for its Model S and Model X. Right now it has four variants — 60 kWh, 75 kWh, 90 kWh and 100 kWh. The current 60 kWh battery is a software limited version of the 75 kWh battery pack. Eliminating the 90 kWh battery entirely would leave it free to offer a software limited version of the 100 kWh to customers who want something more than the 75 kWh unit but don’t want to spend the money for the 100 kWh choice.

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A pair of Model S and Model X P90D Ludicrous seen at the Gardnerville, NV Supercharger

The software limited 60 kWh battery costs $6,000 less than the original 60. That means Tesla could offer a software limited 90 kWh option for less money than the 90D costs today, which would give customers the range of options they want while allowing the company to save money by only building and stocking 2 basic batteries for its long range vehicles – a 75 kWh and 100 kWh battery pack. It wouldn’t come as a surprise if Tesla soon drops the P90D for both the Model S and Model X.

Tesla is charting new territory by offering features that can be unlocked later upon payment of a upgrade charge. All Teslas now come with the second generation hardware needed for its Enhanced Autopilot system. Buyers have a choice of activating that option at the time the car is built or upgrading later. The same is true of Full Self-Driving Capability. Because of Tesla’s ability to alter the configuration of its cars wirelessly at any time, a buyer today can elect to add features later if so desired. That capability should help keep the resale value of used Teslas high.

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If you have your heart set on a Model X P90D or Model S P90D, both of which no longer have the Ludicrous mode upgrade available, better act fast before they’re all gone. You can save yourself a significant amount of money by not waiting until the higher priced P100D is the only option available.

"I write about technology and the coming zero emissions revolution."

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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