News
Are hydrogen cars competition for Tesla?
Reading the news and making sense of PR pitches is an art and a science. The art is reading through the pitches, determining where the motivation is and what lies behind. The science is re-articulating the message behind pitches. The latest news campaign is that hydrogen fuel cells cars are competition to Tesla and electric vehicles (EV).
Sifting through the news
Are hydrogen fuel cell cars competition to EVs? And if so, how are they competing? Those are basic, relevant questions we need to keep in mind when reading the news. Matthew Levy on Seeking Alpha believes Toyota and Hyundai’s hydrogen fuel cell vehicles compete with the Model S. The truth is, Toyota and Hyundai are not in the same league as Tesla Motors in terms of their respective segments and innovations.
The article tries to make a point that by opening the doors to its charging protocols, Tesla won’t sue those who use these protocols in good faith. The article argues that Tesla’s new competitors are growing, but include the Detroit VIA Motors that converts pickup trucks to plug-in hybrids (PHEV) and Harley-Davidson’s new and loud Project LiveWire, a noisy electric motorcycle I covered on CarNewsCafe. According to Matthew Levy: “While these are not direct competitors to Tesla’s sedans, they do show the shift in attention to electric vehicles. Combined with Chevrolet’s Volt (GM) and the Nissan Leaf, the electric vehicle market is becoming crowded behind Tesla. With the availability of Tesla’s patents to other electric vehicle manufacturers (who have more resources than Tesla), the gap should continue to shrink.”, indeed, it will and it should. No one would argue that, least of all Elon Musk.
The article points to a theoretical advantage Tesla has over the competitors. “With the same driving range on the upgraded models,” we suppose the article refers to the P85, “as well as much longer charging times,” larger tanks take longer to fill as well, “the Model S only holds a slight advantage over its hydrogen competitors, if any.” Really? How so? Try an encyclopedia of advantages. It is a full electric vehicle that comes with the freedom of choice of accepting your very own home 110V outlets, your dedicated 240V plug, your home high-powered Tesla charger, the option for the free Supercharger, depending on your time to recharge and where you are. Now, add to this the fact that you and I can make electricity from solar energy, wind, hydro, and any other alternative and renewable energy, or simply just plug it in anywhere.
These are huge advantages hydrogen does not offer yet. Using hydrogen, we go back to the pump and are not in control of the energy price. To be fair, utilities are slowing down personal alternative energy systems and are trying to inflate energy prices, but almost anyone can choose which energy origin to use for their EVs. If you don’t like the grid, install an alternative energy system at home. The same can’t be said about hydrogen fuel cell. I can build an electric motor or buy one on the cheap, I can’t do the same with a fuel cell. EVs offer energy choice, hydrogen does not yet.
The hidden message and the driving motivation
It is obvious by now that the hydrogen phenomenon hasn’t taken the world by storm. Contrary to the article, Hyundai already has a hydrogen fuel cell vehicle offered to the public and Honda has had its Clarity for lease since 2008. Hydrogen fuel cell has its place in the world of energy, but so far it’s been limited to places where solar panels have limited application without better energy storage. Who is driving the push for hydrogen fuel cells when we already have proven EVs, such as the Model S that uses commodity batteries and achieves close to 300 miles? The question to ask is who has benefited the most from the automobile this past century.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
News
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
