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Tesla destination charging facility, also Pittsburgh EV landmark will be demolished
Vast construction projects at Pittsburgh’s Carnegie Mellon University will soon engulf a site that became a landmark in the development of electric vehicles in western Pennsylvania. It was a pioneering facility and the largest charging site in the region for many years.
The Electric Garage’s chargers are being relocated immediately with demolition of the site to begin in July.
At its peak, the Electric Garage boasted eight J1772 Level 2 chargers offering 203V at 30 amps. In 2014, a Tesla HPWC with 40 amp charging was added. Charging and parking was free to the public for up to four hours a session– a welcome oasis in the otherwise congested and paid parking of Oakland. It was easily the largest charging site in western Pennsylvania for most of its life and was open 24 hours/7 days a week on a first-come, first-serve basis. Non-charging parking spots on the site were marked as permit only.
The original six Eaton chargers were installed in 2012, using funding provided from the Pennsylvania Department of Environmental Protection’s Office of Energy and Technology Deployment which had a special mandate from the Office of Acronym Abatement at the Bureau of Ridiculously Long and Expansive Government Agency Naming Commission Department.
Originally built as an Exxon gas station, the Electric Garage was the invention of CMU robotics professor Illah Nourbakhsh. The university bought the property in 2009 and Nourbakhsh transformed it soon after into the workshop for the ChargeCar program. ChargeCar worked to further and develop EV technology, converting several vehicles and working out designs for regenerative braking. The industry’s pace of development soon overran much of ChargeCar’s work as more manufacturers brought EVs into mass production.
Undaunted, ChargeCar hosted numerous community outreach events to showcase the everyday feasibility of EVs to the general public. The site then morphed into a charging station and ChargeCar moved from primarily making gas-electric conversions to educating local mechanics in how to repair EVs.
Notice of the Electric Garage’s potential demise first bubbled up in May 2014, just months after the Tesla HPWC was installed. For several years, Tesla would use the Electric Garage as their main charging facility for Pittsburgh Test Drive events. There was no official Tesla presence in the city and Superchargers were too far from downtown. The proximity of the Electric Garage to the test drive events’ hosting facilities and hotels (and its number of chargers) made it an ideal overnight parking area for a small fleet of Teslas, hungry after a day of being pummeled by curious Pittsburghers.

Taking the place of the Electric Garage will be CMU’s new Tata Consultancy Services (TCS) Building. The 40,000 square foot structure is designed by Skidmore, Owings & Merrill and will be built by Mascaro Construction. CMU described the new mixed-use building as “a new home for the university stores, a dining facility on the ground floor, and academic or administrative office and shelled space. The stand-alone structure will house state-of-the-art facilities, providing collaborative spaces for the CMU community.” CMU expects to spend $22.5 million on the project, which should break ground late this year.
Demolition of the Electric Garage will take place in July. The university has indicated that the chargers will be relocated to other places on campus, though EV drivers will likely have limited access the parking garages that will house some of them. It is also unlikely that all of those will remain available to the general public.
Current plans are as follows: 2 chargers move to the East Campus Garage, 2 chargers to the Dithridge Garage and the CIC Garage will have 5 stations.
If any are publicly available, it would most likely be the 5 chargers at the CIC garage. The notice from CMU Parking & Transportation Services indicates that these 5 chargers “will be located on the outside prior to entering the garage.” Given the awkward placement of the garage in relation to the campus and nearby train tracks, that could be interpreted a number of different ways. The approach roads to the garage are narrow, but there could be room for creative placement and there is a more hospitable lot close by. It also seems probable that the Tesla HPWC could be reappearing at this location. CMU has not yet responded to requests for clarification.
The passing of the Electric Garage “era” is lamentable, but CMU’s commitment to relocate the chargers is to be commended. Many businesses would have simply shoved them into a warehouse (or worse). It is an unfortunate development for EV drivers who have enjoyed both free parking and charging in Oakland, but with CMU’s inherent focus on technology there is hope for more charging stations in the future.
For local Tesla owners, the chargers were more about convenience than necessity. Long distance travelers are similarly unaffected by the change for the most part (ever since the Somerset and Cranberry Superchargers went online). With the opening of Ross Park Mall’s Tesla store this summer– complete with outdoor HPWCs– and the expected opening of a Pittsburgh Service Center later this year, there is also no longer a need for test drive fleets to recharge overnight in Oakland.
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.






