News
Electrify America edges out Tesla Superchargers in 2021 EV Charging Infrastructure Benchmark
Last year, global engineering firm umlaut, which performs benchmarks in various industries, adapted its testing prowess to the United States’ electric vehicle market to determine which public charging network was the best in the country. The effort, which was dubbed as the inaugural 2020 USA EV Charging Infrastructure Benchmark, determined that Electrify America was by far the best public charging network in the United States.
But while the inaugural USA EV Charging Infrastructure Benchmark was notable, there was a popular network that was not included in umlaut’s first analysis: the ubiquitous Tesla Supercharger Network, which is very prevalent but not open to the public like Electrify America. This was why in this year’s USA EV Charging Infrastructure Benchmark, the global engineering firm made it a point to include the Supercharger Network in its study, even if the system had to be scored quite differently due to it being specifically designed for Tesla’s electric cars.
For the 2021 USA EV Charging Infrastructure Benchmark, umlaut performed a comparative study of the country’s fast-charging networks and rated each one using several criteria, specifically: interoperability, pricing, transparency, functionality, and availability, among others. A Tesla Model 3 and a Ford Mustang Mach-E were selected as the vehicles that would used for the study. The EV pair covered 2,100 miles over six days to test charging stations across Michigan, Ohio, Maryland, New Jersey, New York, Connecticut, and Pennsylvania.
To rank the different charging networks, umlaut opted to split its analysis into two areas: the “Digital Platform,” which includes a service’s website and mobile app, and the “Charging Location,” which includes ease of payment, amenities, and the technical performance of the system itself. The results, interestingly enough, revealed that Electrify America was still the overall winner with 702 points due to its balanced scores in the “Digital Platform” and “Charging Location” categories.
Tesla’s Supercharger Network was a second with an overall score of 649. This was quite interesting as Superchargers completely dominated the “Charging Location” metric, earning a perfect score in “Technical Performance” and high scores in the “Access and Payment” subcategories, among others. However, the Supercharger Network lost points in the “Digital Platform” category since Tesla’s website and mobile app were not as useful as those of other networks. This was, of course, partly due to the fact that Tesla’s Supercharger sessions were already integrated into the company’s vehicles themselves.
Despite the challenges presented by the Supercharger Network in this year’s 2021 USA EV Charging Infrastructure Benchmark, umlaut’s Christian Sussbauer noted that Tesla’s charging systems excel in numerous key areas.
“We had a lot of internal discussions about including Tesla Superchargers in this year’s Benchmark because we really want to create a testing system that will capture the right metrics and provide the most useful information to the EV industry. To be honest, if you asked me before we conducted the tests, I think I would have predicted that Tesla Superchargers would end up leading in total points because it’s well known that they do a great job in many aspects of fast charging. And actually, our test results show this clearly—Superchargers excel in many important areas. It’s actually a little boring to test Supercharger stations because you just plug them in, and they reliably work.”
“We were happy to find a very high level of simplicity and reliability with Electrify America this year as well. Using an EV with Plug & Charge enabled on Electrify America’s network was a very good user experience. All of the EV industry should strive to replicate that aspect of Superchargers and Electrify America/Plug & Charge. And in the end, Electrify America also has a very useful smartphone app and website that combined to put them over the top in terms of total points scored for the metrics we were measuring in 2021,” Sussbauer said.
Watch a video about the 2021 USA EV Charging Infrastructure Benchmark below.
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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
