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Tesla Cybertruck dodges competition from an electric Ford F-150 due to pandemic
There was a time when the Tesla Cybertruck seemed to be headed for a head-on collision with Ford’s electric F-150 when the vehicles enter the market. But if recent reports from Ford are any indication, it appears that the Cybertruck may end up losing one of its potential rivals when it begins production late next year.
With the electric pickup truck segment emerging, vehicles like the Tesla Cybertruck, Rivian R1T, Ford F-150 Electric, and the GMC Hummer EV appeared to be set for a rivalry. The market for electric pickups is immense, considering how popular trucks are in the United States. Few electric trucks have been unveiled by automakers so far as well, leaving the segment free for the taking.
While electric pickups like the Tesla Cybertruck and Rivian R1T were created by companies that are electric from their roots, other vehicles like the Ford F-150 electric and Hummer EV are the products of legacy automakers aiming to break into the electric sphere. Ford, for its part, has taken a significant stake in Rivian, and it has announced its intentions to utilize the EV truckmaker’s tech for its upcoming vehicles.
Among these is an all-electric SUV under Ford’s luxury brand, Lincoln. Following this, other electric pickups and SUVs were expected to be released, some of which will be using Rivian’s skateboard platform. Among these is the F-150 electric, a truck that was demonstrated to have enough power to pull a 1 million-pound freight train loaded with other F-150 pickups.
Unfortunately, Ford has announced to Automotive News that its Rivian-based Lincoln all-electric SUV has been officially canceled. Lincoln did state that it will still be working with Rivian and it will be releasing a vehicle based on the EV company’s skateboard platform, but it would be an “alternative vehicle,” not an EV.
“Given the current environment, Lincoln and Rivian have decided not to pursue the development of a fully electric vehicle based on Rivian’s skateboard platform. Our strategic commitment to Lincoln, Rivian and electrification remains unchanged and Lincoln’s future plans will include an all-electric vehicle,” a Lincoln spokesperson said.
Such a development may end up delaying the release of Ford’s all-electric vehicles, including the highly-anticipated F-150 EV. Ford has not disclosed if the all-electric pickup will be using Rivian’s tech or skateboard platform, but such a strategy would not be surprising considering the company’s $500 million investment in the young truck maker last year.
It is unfortunate, but the delay in the electric Ford F-150 may very well benefit the Tesla Cybertruck. Tesla’s expansion plans have remained relatively unchanged despite the ongoing pandemic, and save for the Semi; the electric car maker has not announced any other significant delays to its upcoming vehicles. The Roadster’s release may be adjusted as well, considering that its initial delivery estimate was set for this year, but that’s a low-volume supercar, with Elon Musk expecting to produce just around 10,000 per year.
The following year would definitely be critical for the industry’s electric truck makers. Due to the ongoing pandemic, delays in vehicle releases have been announced. Even Rivian, which beat Tesla to the punch in unveiling its electric truck, has announced that R1T and R1S deliveries have been moved to 2021. GM has also revealed that the Hummer EV’s unveiling has been delayed. With the Ford F-150 electric likely moved back, the electric pickup market next year may end up being dominated mainly by the Cybertruck and the R1T, at least depending on Rivian and Tesla’s capability to build and deliver their vehicles.
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
