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SolarCity Struggles: National Gridlock (Part III)
In this final post within my SolarCity Struggles series I’ll be outlining the additional complexities that surfaced after our local power company, National Grid, got involved.
National Grid-Lock
Having already experienced some delays on my solar project due to architectural redesigns, National Grid jumped into the mix to make things even worse by throwing up one road block after another. There was a conflict of interest for National Grid to assist on the project since we would be shifting more than $170,000 of revenue from them to SolarCity. I’d only see a tiny slice of that by way of my energy savings. Despite many city mandates to be “More Green”, the utility companies clearly have no interest in assisting customers to go solar since it would be counter productive for them.
Roadblock #1
National Grid would not allow “net metering” (where you can re-supply energy through solar power) for two different meters at the same address. SolarCity stepped up and offered to join my two meters and upgrade my panel (from 400A to 600A) in order to support net metering. Accounting issues aside, I agreed to the proposed change and moved forward with yet another site visit that would lead to an engineering redesign.
Roadblock #2
Having (verbally) moved past this, National Grid then reported that the transformer for my area was only capable of handling 23kW of generated power and could not support SolarCity’s proposed 56kW system. This was by the most serious setback since it would require a design that would cut my generation down to 23kW or less. This meant dropping the farm completely and scaling the house from 35kW to 23kW.
A 23kW design called for the front of my house to have solar panels while only a portion of the rear of the house would be retrofitted with panels. This would have looked really odd so we decided to scale back the design to a 18kW system and only include panels on the front of the house.
National Grid informed me that the transformers support between 8 – 12 houses in my area so any neighbors that undergo a solar project will be limited to the remaining 5kW that the transformer can support.
Next Steps
Going from a 56kW to 18kW (a 68% drop in planned production) system will reduce my energy coverage to 32% of my power needs through solar. This is unfortunately the case due to National Grid’s limitation despite my property having enough roof surface to generate 100% of my energy needs.
I will save approximately $56,000 over the next 20 years with this smaller set up, a far departure from the original projected savings of $105,000 but still worth pursuing.
A friendly note from SolarCity arrived on September 1st letting me know that my installation was scheduled for December 8th and 9th because of the magnitude of the project. Considering this 18kW system is a third of what would have been, I couldn’t help but wonder how SolarCity would have handled the original plans. I can’t imagine starting this project in the dead of a New England winter. SolarCity indicated that the project would require 4-6 weeks before the “go live” date which meant I wouldn’t be completing until January 2015. That puts the project at about 10 months from start (initial consultation) to finish and assuming all goes well from here on out.
Summary
SolarCity has made a number of mistakes on this project since the beginning; from improperly sizing the system to not knowing the requirements and restrictions of the local power company; to not following owner requests on layout; to not understanding power generation limits imposed by the power company.
My experience with SolarCity has led me to conclude that they’re not ready for widespread adoption outside of key markets and have a lot of work and learning to do before they will be ready for that next stage of growth.
I truly hope the project moves forward. My next updates will be on the post installation experience which will hopefully take place sometime between now and the end of this year. Stay tuned.
SolarCity Struggles Series – Read from the beginning
Image Source: Sun Powered EVs
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.”
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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
