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Singapore minister dismisses Elon Musk and Tesla, states hydrogen is ‘cleaner’ option
Elon Musk might command notable admiration and respect from countries such as China, but it appears that Singapore does not feel the same way about the Tesla CEO. In a recent interview with Bloomberg, Singapore’s minister for environment and water resources Masagos Zulkifli issued a brusque rebuttal to Musk’s statement on May 2018, which involved the CEO stating that the island nation was “unwelcome” to electric cars.
When asked by the news agency about his response to Musk’s previous comments, Zulkifli noted that the CEO wants to produce a “lifestyle,” and that is simply something that Singapore prefers to do. Instead, the island nation is looking for proper solutions to address the climate crisis, such as investing in mass transportation. “What Elon Musk wants to produce is a lifestyle. We are not interested in a lifestyle. We are interested in proper solutions that will address climate problems,” he said.
Musk’s tweets about Singapore came as a response to an electric vehicle enthusiast who inquired when Tesla will make its presence felt in the city-state. In a response on Twitter, Musk explained that Tesla had tried to enter the island nation, but Singapore’s government was “not supportive of electric vehicles.” It should be noted that Singapore is incredibly restrictive to ownerships of single-occupancy vehicles, both electric and those powered by the internal combustion engine.
Instead, the city has invested heavily in mass transit systems, with trains and buses covering much of the island’s 720 square kilometers (280 square miles). Yet, despite this, Zulkifli maintained that Singapore is uniquely positioned to embrace a zero-emissions fleet. “If there’s any country which can convert from petrol cars to 100% EVs, it will be Singapore,” he said.
Interestingly, Zulkifli noted that he believes hydrogen-powered vehicles are a better long-term solution than all-electric cars as a means to decarbonize transportation. As noted in a Bloomberg report, the Singapore minister explained that is due to the carbon footprint of battery-electric vehicles, which come mainly from mining the materials required to produce batteries and the challenges for their disposal.
These concerns might prove unfounded in the long run, especially since companies like Tesla are working to optimize the materials used in its vehicle’s batteries, including an initiative to completely remove cobalt from its battery cells. Companies such as Rivian and Jaguar have also started programs to repurpose vehicle batteries after they are no longer optimal for use, converting them into energy storage devices that can be used for homes and remote areas.
Singapore welcomed its first charging point at a petrol station earlier this month, as per the Royal Dutch Shell Plc, and nine more are expected to open by October. This, if any, is a way to address a recent study which showed that about 52% of Singaporeans are deterred from purchasing an electric car because they believe there are not enough places to charge their vehicles (a valid concern considering that most of the island nation’s population do not have personal garages). “Just choosing a parking spot is already problematic. And now you want to say who gets the charging point. We do not have the solution yet,” Zulkifli said.
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
