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Tesla pickup truck will have better performance than a Porsche 911, says Elon Musk
Elon Musk discussed several aspects of the upcoming Tesla Pickup Truck during the recently-held 2019 Annual Shareholder Meeting. During the event, Musk talked about the vehicle’s release date, its design, its towing capacity, and its performance, which the CEO noted would be comparable or even better than a base Porsche 911.
Musk noted that the pickup truck would likely see an unveiling near the end of summer 2019, which is in line with his previous forecasts for the vehicle. The CEO also stated that the Tesla Truck is one of the coolest vehicles he has ever seen, pointing out that it won’t be a conventional-looking pickup that just happens to be electric. “We know what that looks like,” Musk noted, seemingly referencing the Rivian R1T, which features a conventional pickup truck design in an all-electric package.
The Tesla Truck remains to be dubbed by Elon Musk as a “cyberpunk” vehicle, which all but confirms that it will be loaded to the teeth with tech. This means that the pickup will feature some trademark Tesla performance as well, which Musk confirmed in the event. Referring to the vehicle’s driving capabilities, the CEO stated that Tesla is designing the pickup truck in such a way that its performance will be better than a base Porsche 911.
The Porsche 911 is an iconic vehicle, and using it as a benchmark for the driving performance of the Tesla Truck is a bold move by the electric car maker. The 911, after all, is famed for its capability to be driven spiritedly on long, twisting roads. The legendary German sports car is also known for its quick acceleration, with more conservative variants like the 2017 Porsche 911 Carrera (M/T) still being capable of sprinting from 0-60 mph in 4.0 seconds.
While Elon Musk has all but confirmed that the Tesla Truck would be an incredibly quick vehicle, the CEO also pointed out that the upcoming pickup would be capable of towing heavy loads. Responding to an investor who inquired if the Tesla Truck will be capable of towing a trailer loaded with horses, Musk noted that “If the (Ford) F-150 can tow it, the Tesla truck can do it.”
There is no denying that Tesla’s pickup truck would likely be a showstopper when it gets unveiled later this year. It should also be noted that Elon Musk, as optimistic as he is, is known to be conservative with the specs of Tesla’s vehicles. Musk might have a strong tendency to overestimate his target timetables, but he is never one to exaggerate his vehicles’ capabilities. With this in mind, the Tesla community could be assured that the pickup truck will indeed live up to its name as a “cyberpunk” vehicle that will not look out of place in the Blade Runner franchise.
For all its tech and capabilities, the Tesla Pickup Truck will start at $49,000, according to Elon Musk in an appearance at owner-enthusiast Ryan McCaffrey’s Ride the Lightning podcast. During the podcast, Musk mentioned that the base pickup would have a starting price of $49,000 at most, though Tesla is working on offering the vehicle at an even lower cost. “You should be able to buy a really great truck for $49k or less,” Musk said.
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
