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My journey with a SolarCity System: Snow, Net Metering

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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.

Net Meter

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.

Snow on panels

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:

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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

Solar InverterOnce 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.

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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.

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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

Solar GenerationEleven 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.

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"Rob's passion is technology and gadgets. An engineer by profession and an executive and founder at several high tech startups Rob has a unique view on technology and some strong opinions. When he's not writing about Tesla

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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

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“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”

As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

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It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

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I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

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New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

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Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

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Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

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“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”

This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

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Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

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I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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Tesla plans to resolve its angriest bunch of owners: here’s how

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla has a plan to make Hardware 3 owners whole after CEO Elon Musk admitted that those with that self-driving chip in their cars will not have access to unsupervised Full Self-Driving.

The company’s strategy is so crazy that it is sort of hard to believe.

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

During the Tesla Q1 earnings call on Wednesday, Musk finally clarified what the company’s plans are for Hardware 3 owners, what they will be offered, and what Tesla will have to do internally to prepare for it.

The answer was somewhat mind-boggling.

Musk said:

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“Unfortunately, Hardware 3 — I wish it were otherwise, but Hardware 3 simply does not have the capability to achieve unsupervised FSD. We did think at one point it would have that, but relative to Hardware 4, it has only 1/8 of the memory bandwidth of Hardware 4. And memory bandwidth is one of the key elements needed for unsupervised FSD.”

He continued, stating that HW3 owners would have the opportunity to trade their cars in at a discounted rate in order to get the AI4 chip:

“So for customers that have bought FSD, what we’re offering is essentially a trade-in — like a discounted trade-in for cars that have AI4 hardware, and we’ll also be offering the ability to upgrade the car, to replace the computer. And you also need to replace the cameras, unfortunately, to go to Hardware 4.”

Obviously, Tesla has a lot of people to work with and make this whole thing right. Musk was adamant that HW3 would be capable of FSD, and now that the company has finally admitted that it is not, there are some things that could come of this.

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There has been open talk about some sort of class action lawsuit against Tesla. The promises that Tesla made previously could be considered a breach of contract or even false advertising, and that’s according to Grok, Musk’s own AI program.

Musk went on to say that Tesla would likely have to establish new microfactories to effectively and efficiently replace HW3 computers and cameras:

…So to do this efficiently, we’re going to have to set up, like kind of micro factories or small factories in major metropolitan areas in order to do it efficiently. Because if it’s done just at the service center, it is extremely slow to do so and inefficient. So we basically need like many production lines to make the change.”

This is going to be an extremely costly process, especially if Tesla has to buy real estate, properties, and equipment to complete this work. Additionally, there was no wording on pricing, but Musk never said it would be free. It will likely come with some kind of price tag, and HW3 owners, after being left hanging for so long, will have something to say about that.

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SpaceX just got pulled into the biggest Weapons Program in U.S. history

SpaceX joins the Golden Dome software group, deepening its role in America’s most expensive defense program.

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US Golden Dome space defense system (Concept render by Grok)

SpaceX has joined a nine-company group developing the core operating software for the Golden Dome, America’s next-generation missile defense system. According to a Bloomberg report, SpaceX is focused on integrating satellite communications for military operations and is working alongside eight other defense and artificial intelligence companies, including Anduril Industries, Palantir Technologies, and Aalyria Technologies, to build software connecting missile defense capabilities.

The Golden Dome concept dates back to President Trump’s 2024 campaign, and on January 27, 2025, he signed an executive order directing the U.S. Armed Forces to construct the system before the end of his term. The system is planned to employ a constellation of thousands of satellites equipped with interceptors, with data centers in space providing automated control through an AI network.

FCC accepts SpaceX filing for 1 million orbital data center plan

Space Force Gen. Michael Guetlein, director of the Golden Dome initiative, has described the software layer as a “glue layer” that would enable officers to manage and control radars, sensors, and missile batteries across services. The consortium is aiming to test the platform this summer.

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Trump selected a design in May 2025 with a $175 billion price tag, expected to be operational by the end of his term in 2029, though the Congressional Budget Office projected the cost could reach $831 billion over two decades.

The Golden Dome role is only the latest in a string of military wins for SpaceX. As Teslarati reported, the U.S. Space Force awarded SpaceX a $178.5 million task order on April 1, 2026 to launch missile tracking satellites for the Space Development Agency, covering two Falcon 9 launches beginning in Q3 2027. That came on top of more than $22 billion in government contracts held by SpaceX as of 2024, per CEO Gwynne Shotwell, spanning NASA resupply missions, classified intelligence satellites through its Starshield program, and military broadband.

The accumulation of defense contracts, now including a seat at the table on the most expensive weapons program in U.S. history, positions SpaceX as the dominant infrastructure provider for American national security in space. With a SpaceX IPO still on the horizon, each new contract adds weight to what is already one of the most consequential companies in aerospace history, raising real questions about how much of America’s defense architecture will depend on a single private operator before it ever trades publicly.

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