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Tesla Semi gets ‘peppy and quiet’ hydrogen fuel cell competitor from Kenworth-Toyota
With support from the California Air Resources Board, Japanese auto giant Toyota and truck maker are collaborating to develop and build a limited run of hydrogen fuel trucks. The vehicles, which are Kenworth T680 trucks modified with Toyota’s hydrogen fuel cell powertrains, are expected to drive on routes around Los Angeles and further inland to San Bernardino. The actual specs of the vehicles have not been announced by either company, but the range of the hydrogen fuel cell T680 trucks are said to be 300 miles in “normal drayage operating conditions.”
Toyota and Paccar, the parent company behind Kenworth, took the wraps off the first hydrogen fuel cell long-hauler at this month’s Consumer Electronics Show in Las Vegas. The vehicle, which is classified as a Class 8 truck, stands to be a possible competitor for upcoming all-electric trucks like the Tesla Semi in the future. In a statement to CNBC, Brian Lindgren, Kenworth’s director of research and development, noted that utilizing hydrogen as a source of propulsion makes more sense for Class 8 vehicles than batteries, which power vehicles like Tesla’s all-electric long-hauler.
“We believe that carrying energy in the form of hydrogen for heavy-duty Class 8 trucks makes more sense than carrying it in batteries because the trucks can be refilled faster and offer longer range,” he said.
Lindgren’s point about faster refilling times for hydrogen fuel cell vehicles is quite justified, considering that a passenger car such as a Toyota Mirai could refill its tank with around 300 miles of range in roughly five minutes. That’s significantly faster than Tesla’s Superchargers, which are capable of charging roughly 200 miles of range in 30 minutes. Larger vehicles such as the hydrogen-electric Kenworth T680 trucks would likely take longer to refill than a passenger car such as the Mirai, but there’s a good chance that the long-hauler could still refill its tank faster than the Tesla Semi could charge its batteries, even if it is plugged into the upcoming Megacharger Network.
Toyota-Paccar’s Kenworth T680 hybrid fuel cell trucks caught the attention of some CES attendees due to the vehicle’s silent operation, which is nearly comparable to an all-electric truck. Lindgren, for his part, noted that drivers who have operated the truck actually appreciated the silence of the vehicle. “Drivers like these trucks because they are peppy and quiet,” he said.
Andy Lund, the Toyota chief engineer on the project, further stated that the hydrogen-electric trucks would have the same payload capacity as a diesel rig. Unlike its fossil fuel-powered counterparts, the hydrogen fuel cell Kenworth T680 long-haulers would only require a four-speed transmission, which is far simpler than the 18-gear transmissions usually fitted on Class 8 diesel trucks.
If there is one thing that would probably go against Toyota and Paccar’s hydrogen trucks, though, it would be their fuel efficiency. Kenworth’s director of research and development noted that the prototype trucks currently consume hydrogen at roughly the same rate as present diesel trucks, at around 5-7 mpg. The only advantage of the vehicles, of course, is that the trucks would only produce water vapor from their exhausts. This is a substantial advantage, considering that the trucking industry accounts for about 23% of carbon emissions from transportation in 2016, according to the Environmental Protection Agency.
That said, this would be something that Tesla could capitalize on. During the electric long-hauler’s unveiling, Musk noted that the Semi would cost operators $1.26 per mile to run, less than the standard $1.51 per mile that diesel-powered vehicles cost. Musk’s estimate has been met by skepticism by veterans of the trucking industry, but if the Tesla Semi’s operating costs stay true to the CEO’s estimate, then the vehicle would most certainly give itself a notable advantage over diesel and hydrogen-powered rivals when it starts operating on America’s roads.
Hydrogen fuel cells remain a polarizing solution for sustainable transportation. Elon Musk, for one, has openly discussed his dislike for hydrogen-electric transportation. In a statement to Autocar in 2014, for one, Musk went so far as to describe hydrogen fuel cell systems as “mind-bogglingly stupid.”
“They’re mind-bogglingly stupid. You can’t even have a sensible debate. Consider the whole fuel cell system against a Model S. It’s far worse in volume and mass terms, and far, far, worse in cost. And I haven’t even talked about hydrogen being so hard to handle. Success is simply not possible. Manufacturers do it [FCEVs] because they’re under pressure to show they’re doing something ‘constructive’ about sustainability. They feel it’s better to be working on a solution a generation away rather than something just around the corner. Hydrogen is always labeled the fuel of the future – and always will be,” Musk said.
Elon Musk initially announced that the Tesla Semi would start production sometime in 2019. That said, later statements from Tesla’s head of investor relations Martin Viecha suggested that the electric car maker would “earnestly” start producing the Semi by 2020.
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
