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Tesla and Lucid’s performance specs are opening the door for an ICE exit
Tesla and Lucid Motors are paving the way for an internal combustion car exit in terms of performance vehicles. The two companies, with their impressive specifications, are showing that if a consumer wants a fast car, they should consider battery-powered machines first and foremost.
The Tesla Model S seemed to break the mindset of many EV skeptics who claimed that gas-powered vehicles would always reign superior on a drag strip. For a long time, critics of the electric movement thought that cars powered by battery cells would always be similar to golf cars: slow and boring.
However, the Model S quickly changed the tune of the skeptics, turning in quarter-mile times that snuck under the 11-second mark. Tesla has worked to continuously improve the power output of its vehicles with increased battery and motor efficiency, along with aerodynamic enhancements that came from Software Updates.
Then came along Lucid. The company has been hyping its first vehicle, the Air, for several years. Tesla fans were skeptical, as they should be, but Lucid has proven itself to be a real player in the EV market over the past few months. After showing that its 517-mile range was for real, the company revealed that it had invented a series of new advancements that would improve the performance of its vehicle. These developments were critical to the Air’s performance specifications, and the car became the fastest production car ever to complete a quarter-mile race with a 9.9-second time.
With Tesla still working on its Plaid Mode variant for the Model S, which set a course record at the Nürburgring last year, there is some cause for concern with ICE companies who claim their vehicles can dethrone the instant torque and lightning-quick acceleration from electric cars. Now, these automakers don’t only have to deal with Tesla’s rapidly improving powertrains, but Lucid has proven itself to be a bit of an issue as well.
It turns out that only two other production cars have ever achieved a quarter-mile with a 9.9x-second time from a standing start: The Porsche 918 Spyder at 9.716 seconds, and the Bugatti Veyron Super Sport at 9.9 seconds. The Porsche used some battery power to achieve this time, as it was a hybrid-electric vehicle. Other cars have achieved the time with a one-foot rollout, but the Air and Model S both achieved their times without this rollout.
The Performance of the Lucid Air has virtually opened a revolving door for ICE cars to line up into and rollout of. The Model S was the original benchmark, and Lucid’s team aimed to create a more efficient and aerodynamically superior vehicle than Tesla’s flagship sedan. As of now, they’ve succeeded.
However, Tesla has kept their developments of the Plaid Mode Model S under wraps, and there is no indication of whether it will one-up the Air when it hits the drag strip in the future. One thing, however, is for sure: The culmination of Tesla and Lucid’s development of their performance vehicles has effectively dug the grave of ICE cars in terms of quarter-mile performance. With exceptional range ratings, environmental advantages, and improving technology through software, gas-powered cars will soon find themselves buried by the electric automakers who are striving to create fast and sustainable vehicles for everyone to drive.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
