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Tesla’s 62-stall Supercharger project in Santa Monica gains new momentum
Tesla’s 62-stall V3 Supercharger project will be a topic of discussion at this evening’s Santa Monica City Council meeting. The site of 1401 and 1421-1425 Santa Monica Boulevard was originally the planned location of Tesla’s largest V3 Supercharging station in the world. However, an Emergency Interim Zone Ordinance delayed the project. A Santa Monica City Council agenda for the March 30th meeting shows there could be a reconsideration in the Emergency Ordinance for the two lots where Tesla planned to install 62 of its fastest electric car chargers. The ordinance temporarily reserved the area for affordable housing.
On March 4th, the Santa Monica City Council chose to approve the 62-stall Tesla Supercharging station. Just days later, the City Council included the two lots that Tesla had chosen in an Emergency Interim Zoning Ordinance that reserved the land for condos and apartments. It didn’t scrap the project completely, but it would delay the Supercharging facility for a minimum of 45 days and could be extended to two years. The March 9th meeting effectively reserved unoccupied lots for prospective housing development. Tesla’s lot fit the bill, and the project lost its momentum.
Tesla’s largest V3 Supercharger facility is coming to Santa Monica
Now, revisions have been made to the Santa Monica City Council’s plan, and new areas are being considered for the affordable housing push. According to the Agenda available on the Santa Monica City Council website, the updates will be discussed at tonight’s meeting.
Instead of having housing be introduced in previously chosen areas, the City Council is now considering new regions of Santa Monica. In particular, regions that have not been used for affordable housing in the past are being considered heavily. This bodes well for Tesla’s Supercharger project on Santa Monica Boulevard because some of the listed areas in the Update show that housing could be pushed further north, several blocks away from the planned area for the V3 Supercharger lot.
The Update says:
“In order to take steps towards addressing Santa Monica’s past history of housing segregation, the Commission supported introducing housing potential, particularly affordable housing, in areas that have historically not accommodated housing, such as Montana Avenue, the Office Campus zone, and Main Street, especially on city-owned properties such as surface parking lots.”
Montana Avenue runs nearly a mile north of Santa Monica Boulevard, just south of the wealthy Brentwood neighborhood. Main Street runs along the coastline of Santa Monica and is perpendicular to Santa Monica Boulevard. The Office Campus Zone is located in several different areas, and all are several miles East of Tesla’s proposed Supercharger location.
The highlighted areas are being considered for Affordable Housing locations. Tesla’s planned V3 Supercharger location is denoted by the Tesla logo and red dot. (Map: Santa Monica Community Development Department)
The City Council was also not supportive of introducing new housing potential in the Industrial Conservation Zone. This is denoted by the dark grey areas located about two blocks south of the planned Supercharger project. Several concerns, including historic racial inequities, existing overconcentration of affordable housing in proximity to the area, and “the need to ensure the City’s economic sustainability by retaining former industrial properties for businesses” make the area ideal for market-rate housing, but not affordable housing. Because of the Supercharger location’s proximity to the area, this bodes well for Tesla’s project, as affordable housing is already available in plentiful amounts and the City Council is more interested in moving housing opportunities to the highlighted areas.
The Update does mention that the “Commission was supportive of increasing housing potential on vacant parking lots associated with commercial uses,” but there are plenty of lots that fit those specifications in Santa Monica.
The Santa Monica City Council will hold a meeting tonight at 5:30 PM PST to discuss the new recommendations. The meeting could bring new momentum to Tesla’s Santa Monica Supercharger project if the area it has chosen is exempt from the Emergency Interim Zoning Ordinance.
The Update to the Santa Monica City Council’s Housing Recommendations is available below.
Santa Monica City Council Update by Joey Klender on Scribd
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
