News
Tesla Model Y converted into green hydrogen car to show “Hyper Hybrid” innovations
German Federal Research Minister Anja Karliczek recently unveiled an example of a “hyper hybrid” vehicle powered by synthetic methanol, which is based on “green hydrogen” technologies. But while the idea to produce a climate-friendly car is admirable, the vehicle Germany used for the project was quite questionable. This was because the Federal Research Minister’s team opted to use a Tesla Model Y — an all-electric vehicle that is, in many ways, already the pinnacle for efficiency and sustainability — for the project.
Simply put, Germany took a perfectly working battery-electric vehicle, modified it with a synthetic methanol engine, and dubbed it as a work of true innovation. Karliczek, for his part, noted in a press release that such a project is incredibly important since “green hydrogen” is a valuable building block for climate protection.
“Climate protection can only succeed with green hydrogen. That’s why we are already providing massive support for research into the use of green hydrogen, although efforts will have to be stepped up again in the coming years. Especially in industry and transportation, we will continue to need chemical energy sources in the future. Not all industrial processes can be completely decarbonized. CO2 will continue to be produced. We need solutions for this.
“Today we are building a very interesting bridge between these two points: The use of methanol from ‘recycled’ CO2 from industry as a fuel in road transport… But the methanol car itself is also an ‘innovation showcase’ for low-emission, resource- and energy-efficient mobility of tomorrow. Synthetic fuels have an important role to play in making a sustainable, climate-friendly mobility system possible worldwide. This is important in shipping and air travel, or where a charging station for the electric car may not always be available in the future. Especially there, the serial hybrid drive can be a good solution in perspective,” the Federal Research Minister said.
Speaking about the hybrid Model Y project, Prof. Robert Schlögl, Director of the Max Planck Institute for Chemical Energy Conversion and Carbon2Chem project coordinator, noted that the hybrid technologies used in the initiative present a great synergy between two systems: the efficient electric drivetrain and the easily accessible synthetic fuel methanol.
“The urgency of climate protection requires a rapid and comprehensive entry into renewable energy. In a global market for renewable energy, carbon-based energy sources such as methanol are key building blocks. The serial hybrid drive concept presented here combines the advantages of the efficient electric drive and the energy-dense and easily accessible synthetic fuel methanol. This concept must be further optimized by the research project presented here,” the professor said.
The hybrid Tesla Model Y is part of the Carbon2Chem initiative, which aims to reduce CO2 emissions in the steel industry. The vehicle is a concept built to showcase how methanol is recycled. The Obrist DE GmbH worked with the Technical University of Munich, the Technical University of Dresden, and the RWTH Aachen to create the vehicle. About 10 million euros were estimated to have been spent on the methanol-powered Tesla Model Y. That being said, OBRIST Group CEO Frank Wolf remained proud of the project’s end result.
“Our HyperHybrid powertrain, whose zero-vibration generator produces electricity with green methanol, is an essential innovation for globally deployable, efficient, and emission-neutral e-mobility – in other words, a car with green liquid electricity in the tank!” Wolf said.
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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.
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
