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Porsche buys 10% stake in Rimac, tapping supercar-startup’s EV expertise
German automaker Porsche AG has taken a 10% stake in Croatian supercar startup Rimac Automobili, maker of the highly-anticipated and extremely exclusive C_Two all-electric supercar. With Porsche starting to dip its feet in the electric vehicle market with the Taycan (previously dubbed as the Mission E sedan), tapping into Rimac’s EV expertise would genuinely benefit the legacy automaker’s electric car initiatives.
Rimac has garnered a solid reputation over the years. Founded by Mate Rimac in 2009, Rimac Automobili became known as the maker of the Rimac Concept One, the world’s first $1 million all-electric supercar. Its successor, unveiled earlier this year as the Rimac C_Two, is even more impressive, with a 0-60 mph time of 1.85 seconds, a top speed of more than 250 mph, 1,914 horsepower, and a claimed driving range of 403 miles per charge. Rimac expects to manufacture 150 C_Twos during its production run, and as of April, the company revealed that the $2.1 million all-electric supercar was almost sold out.
In a statement, Porsche’s executive board deputy chairman Lutz Meschke remarked that the Croatian startup’s success with its first two vehicles were the credentials that genuinely impressed the German legacy carmaker.
“We feel that Rimac’s ideas and approaches are extremely promising, which is why we hope to enter into close collaboration with the company in the form of a development partnership. By developing the purely electric two-seaters super sports cars, like the Concept One or C_Two, as well as core vehicle systems, Rimac has impressively demonstrated its credentials in the field of electromobility,” the Porsche executive said.
Meschke’s statement about Rimac’s prowess in the development of vehicle systems rings true. Apart from producing all-electric supercars, after all, Rimac is also focused on the development of high-voltage battery technology and electric powertrains, as well as digital interfaces for EVs. Back in March, the Croatian supercar maker announced a deal with China’s Camel Group, a battery manufacturer, to build an electric motor and battery factory in the Asian country. Rimac also has a separate subsidiary focused on electric bicycles called Greyp Bikes.
Ultimately, Rimac CEO Mate Rimac noted that he considers the partnership with Porsche as a pivotal step forward for his company, as it becomes a component and systems supplier for the emerging EV market.
“This partnership now is an important step for Rimac on our way to become a component and system supplier of choice for the industry in electrification, connectivity and the exciting field of Advanced Driver Assistance Systems,” Rimac said.
The Rimac C_Two is expected to start production sometime in 2019, the same year that Porsche is set to roll out the Taycan. Considering the release date of the all-electric supercar, the C_Two would likely enjoy a year dominating the high-performance EV industry before it meets a formidable challenger — the next-generation Tesla Roadster — which is expected to start production sometime in 2020. The next-gen Roadster, which is priced at a more modest $200,000 – $250,000 for its base variant, costs just a fraction of the C_Two’s $2.1 million price tag. Performance-wise, the two vehicles are head-to-head, with the Roadster having a 0-60 mph time of 1.9 seconds and 10,000 Nm of torque compared to the C_Two’s 1.85 seconds and 2,300 Nm of torque.
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.