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My journey with a SolarCity System: Snow, Net Metering
After 9 months of planning, waiting and negotiating, my SolarCity system installation was finally completed in December of 2014. Following the install, the only steps that remained were to implement updates required for net metering and to finalize the electrical and building inspections.
The electrical inspection went quickly, but the building inspection was a pain. The local building inspector wasn’t very responsive and scheduled inspections shortly after large snow storms, but then refused to do the inspection due to “snow covering the panels”.
While we waited for the inspections, which finally took place in March of 2015, National Grid installed a new Net Meter. Net meters are capable of monitoring the amount of power being sent back into the grid. The meter swap is quick work, but be forewarned that it requires power to be cut from your home during the swap.
Weathering the Storm
We had a brutal Winter here in the Northeast and this was my first year with panels. So I had concerns about the impact of the heavy snow being on top of the panels, and also how one goes about cleaning off the snow. I asked SolarCity about proper handling and they told me not to worry about it:
“We understand your concern with the snow and the load that it would cause. Please be advised that when your system was built, our engineers took into consideration, your roof structure as well as the amount of weight that it would be able to hold. We also have the system approved by the City for load bearings.The City and our engineers did take into consideration, the amount of largest amount of snow that your roof can withstand before we installed. I understand that there was a mass message out to all the people in the area advising them to make sure that they clear the roof. We advised that you allow the snow to melt/slide down on its own., If you are hiring someone to come out to clear the roof. Make sure that they be careful and they only sweep the panels.”
I patiently waited for the snow to slide off the panels and sure enough it did, and with no issues. The snow slides off the black, wet glass-like surface of the solar panels. You definitely don’t want to be anywhere below the roofline when the snow decides to let go!
Early Issues – Broken Gear
Once National Grid completed the net metering install, I was finally approved to turn on the system. The first step involves turning a big dial (on each inverter) from off to on. I have three inverters which means three dials to flip on.
I turned each of them on. Two lit green almost immediately while the remaining inverted displayed a red fault light. There were no instructions on what to do in this scenario; no manuals and no guidance, so my only option was to call for help.
Getting help from SolarCity on the issue at had was a frustrating experience. SolarCity has a lot to learn when it comes to customer service. I spoke to several customer support managers as I continued to escalate my issue.
Finally, after five weeks of follow ups and many phone calls, I got the broken inverter fixed.
Tip:
SolarCity doesn’t bother to tell you this, but what I discovered was a little black button in the middle of the inverter. It’s hard to see but if you press the button you’ll be able to cycle through messages on the digital display, one of which is a fault code. Providing SolarCity with a fault code is much more useful than just letting them know that a red light is blinking.
Early Issues – Snow Fall
As mentioned earlier, snow doesn’t stick to the panels for long, but it does manage to build up before it lets go. Imagine 3 feet of heavy snow mixed with ice over your entire roof all letting go at the same time. It’s not a slow drip. It’s an avalanche.
The end result is dead flowers, dead bushes, and broken branches on vegetation immediately below the roof. As much as it’s common sense that snow will eventually melt from a roof and slide down, I wish SolarCity would have warned us that snow tends to slide from solar panels at a much quicker rate. I would have done something to fortify those flowers and bushes. After all, landscaping is not cheap.
There’s an accident waiting to happen so I think it’s in SolarCity’s best interest to pre-warn people of this, especially newbies to the world of solar panels.
Summary
Eleven months after starting the project, my SolarCity system finally went live (partially) on February 23, 2015. And on April 1, 2015, the third inverter was fixed allowing the system to work in its full capacity.
The image to the right is showing the day when the transformer on my street blew up and the entire street lost power for several hours. I added 33% more power from my large system going back into the network while using very little (Winter time) the same day the transformer blew. But then again, it was also April 1. Nobody made a fuss — National Grid replaced the transformer and all has been stable since. My best guess as to why that happened? Perhaps the transformer was already near its thresholds and my solar installation was the one to tip it over?
I’ll be writing about system monitoring, cost savings and billing errors in upcoming posts. The story isn’t over yet.
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
