Revel has opened its first-ever fast-charging electric vehicle station in Manhattan at Pier 36 on the Lower East Side.
This is the first fully public, 24/7 EV charging station in Manhattan, which has been a major challenge for companies and individuals utilizing EVs due to very limited real estate.
Revel developed the site with New York City’s Economic Development Corporation (NYCEDC). The site features 10 320 kW chargers made by Kempower.
The big challenge with EV ownership when living in New York City is access to public chargers.
While Revel, Tesla, and others are operating charging infrastructure in various boroughs like Queens and Brooklyn, Manhattan is so limited on space that those who utilize EVs for personal use or ride-sharing truly struggle for options.
Frank Reig, Revel’s Co-Founder and CEO, said:
“Hundreds of thousands of rideshare and taxi trips go in and out of Manhattan every day. With our new Pier 36 Charging Station, Revel is bringing the fastest charging on the market directly to those drivers so they can access EVs easier — saving them money and saving us all from breathing in more needless car pollution…This is Revel’s first in the borough, but definitely not our last!”
Revel has had this new station at Pier 36 in the works for some time. Last year, they hinted during an interview with me that they were working on something in Manhattan. It’s finally here.
This station brings Revel’s total network to 64 public fast chargers across the five boroughs of New York City. Their plans are to expand rapidly, hoping to have 300 active chargers by the end of 2025.
The significance of this station being in Manhattan was recognized by several figures:
State Senator Brian Kavanagh:
“The introduction of this first 24/7 public fast charging station in Manhattan represents a pivotal step in our journey toward a zero-emission transportation network. With the busy flow of rideshare and taxi traffic in and out of Manhattan, providing the fastest charging options directly to drivers not only saves them money but also helps us all breathe a little easier by reducing harmful car pollution.”
NYCEDC President and CEO Andrew Kimball:
“The opening of Revel’s first Manhattan charging station will help New York City become an innovator in accelerating low-carbon alternatives in the transportation sector, spark cutting-edge innovation that will unlock solutions for the global climate crisis, and create new economic opportunity for the city.”
Assemblymember Grace Lee:
“By expanding access to high-speed EV chargers in Lower Manhattan, we are not only promoting green technology but also reducing harmful emissions and improving air quality for our community. This is a crucial investment in the health and well-being of Lower Manhattan, and I look forward to continuing to support initiatives that advance our city’s environmental goals.”
Deputy Mayor for Operations Meera Joshi:
“New York is charging ahead! If we want to meaningfully reduce emissions, more cars will need to plug, rather than chug. But modal shifts will only happen once there’s the infrastructure to support it. Along with our 80,000-strong for-hire vehicle fleet’s transition to electric, the first 24/7 charger in Manhattan is a strong indicator of what’s to come. Thanks to Revel, EDC, DOT and all our partners for this Climate Week milestone. In partnership with the private sector, government continues to deliver for New Yorkers.”
Revel’s expanding number of EV fast chargers will support the evergrowing number of drivers utilizing sustainable powertrains for ride-sharing purposes. The New York City Taxi & Limousine Commission issued approximately 10,000 new licenses for electric-for-hire vehicles in October 2023.
This has brought the share of EV trips to over 10 percent of the total rideshare volume, or approximately 1.5 million rides per month.
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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
