News
US official takes zero-Tesla road trip to promote EVs–things get so tricky they ended up ICE-ing a charger
United States Secretary of Energy Jennifer Granholm went on a four-day, 600+ mile journey from Charlotte, North Carolina, to Memphis, Tennessee, with a fleet of all-electric vehicles. The official’s entourage was impressive, as it included EVs like the Cadillac Lyriq, the Ford F-150 Lightning, and the Chevy Bolt. There were some combustion-powered cars in the entourage as well, but zero Teslas.
Over the US official’s journey, things would get so challenging that members of Granholm’s advance team resorted to eyebrow-raising tactics to secure fast chargers for the official. At one point, an ICE-ing incident happened, and police got involved. Needless to say, the Secretary of Energy’s EV road trip became a story worth telling — for better or for worse.
The distance itself between Charlotte and Memphis is not that far. At over 600 miles, the distance would likely require a Tesla just one or two stops at a Supercharger station. Granholm is knowledgeable about electric cars too, being one of EVs’ biggest advocates in the government. She also previously owned a Chevy Bolt and now drives a Ford Mustang Mach-E.
As noted by NPR reporter Camila Domonoske, who drives a Chevy Bolt herself, the US Secretary of Energy’s EV road trip was painstakingly mapped out ahead of time to allow for charging. The entourage stopped at hotels with Level 2 chargers and stopped at rapid chargers between cities. Advance teams would even head to fast chargers to make sure that the official and her team of EVs can recharge their batteries quickly.
Now, such a plan would probably be sufficient if the United States is known for having an expansive and reliable fast-charging network. But it’s not. Outside the Supercharger Network, which is privately operated by Tesla, the US’ rapid charging infrastructure leaves much to be desired.
This became evident when Granholm’s team was planning to fast charge at a station in Grovetown, a suburb of Augusta, Georgia. Upon arriving at the site, the official’s advance party realized that one of the station’s four chargers was broken and two were already occupied. With only one rapid charging stall open, an Energy Department staffer tried to ICE the stall to reserve it for the Secretary of Energy, who was on her way to the charging station.
ICE-ing, or the act of blocking an EV charging stall with a combustion-powered car, has been a headache for electric car owners for years. It was then no surprise that when the Energy Department staffer blocked the only free rapid charging spot in the site, EV owners were not pleased. A family that was boxed out of the charging stall was so upset that they called the police — and for good reason too. The day was extremely hot, and they had a baby in the car.
NPR’s Domonoske described the aftermath of the ICE-ing incident. “The sheriff’s office couldn’t do anything. It’s not illegal for a non-EV to claim a charging spot in Georgia. Energy Department staff scrambled to smooth over the situation, including sending other vehicles to slower chargers, until both the frustrated family and the secretary had room to charge,” she wrote.
As noted by Domonoske, outside of Tesla’s Supercharger Network, long road trips in the United States are still an issue. Fortunately, Tesla’s North American Charging Standard (NACS) is being adopted by an increasing number of automakers and charging companies, so it won’t be long before other electric cars can take advantage of a benefit that’s long been available to Tesla owners.
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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
