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Installing Solar Panels through SolarCity
Shortly after placing my order for my Tesla Model S I started looking into installing a solar panel system at home as a way to offset the soon-to-be increased electricity bill. My research turned me to a SolarCity system which I ended up signing up with in April of 2014.
After a number of scoping, design, and utility company challenges the day finally came for installation.
Sizing the Job
While I had originally hoped for a much larger system, the system that was installed was still large by most people’s standards. The final design called for 70 panels, each capable of generating 255W for a total of 17.8 kW and an annual expected output of 18,611 kWh.
To put that into perspective, my Model S uses an average of 775 kWh (as measured through a digital submeter) or approximately 2,400 miles. That usage will climb a bit for the winter months, but I still intend to use about 9,300 kWh per year for my Model S which equates to 50% of my expected solar generation capacity.
What this means is that I’ll be driving my Model S on 100% solar generated energy and still have solar energy to spare to offset my normal electric costs.
Many installations are half this size or smaller due to a number of constraints. Because of the size of this job, SolarCity booked 2 days for the install and sent a crew of about 8 to do the work.
Scheduling
It was a bit nerve wracking waiting for the project to begin 8 months after my April sign up date. This put us smack dab in the middle of winter for a December 8th install in New England. We’ve had snow and ice storms along the way which made me more skeptical that the install would ever take place.
I’m happy to report that the entire SolarCity team in charge of the project arrived on the scheduled date. They were late due to leftover work at a different site, but they turned up despite the wet weather, 30 degree temperature and got right to work. It was immediately evident that this crew knew what they were doing and it was just another day on the job despite the magnitude of the install.
Solar Panel Installation
The first order of business was to tape off and secure the area from foot traffic. Anchors are attached to the roof which the crew secured their safety harnesses to.
Once the precautionary safety measures were in place, the crew began setting up dozens of anchor points across the roof surfaces later to be used as mounting points for the solar panels. That part took most of the first day.
By the end of the first day they had managed to install solar panels on the smaller of the 2 roof lines and had most of the anchors ready on the larger roof line.
Weather Proof Guarantee
A Noreaster hit right in the middle of the week so installation was postponed. To make matter worse, all of the heavy rain and cold weather ended up icing over the roof. I crawled into both attics below each roof to ensure that all of the nails and anchors on the roof didn’t create a leak and was relieved to find that everything was totally dry.
SolarCity guarantees a leak-free installation so it was great to be able to validate that even after torrential rains.
The crew returned on the third day despite the rain and proceeded to work a full day in extremely cold weather and light rain.
Uh oh, Design Challenges
Two different design issues were uncovered during the solar panel installation. The first of which was related to a misjudgment on the number of solar panels that would fit. Designers back at corporate had mapped out 70 panels for the roof, but one of the panels would not fit behind the chimney. The crew offered to stick it somewhere else, but we declined as it would have been asymmetrical anywhere else and the aesthetics would not have been good. So we ended up with a total of 69 panels and a slight decrease in target generation capacity.
The second issue was identified on the third day. While the entire install was on the front of the house (thanks to National Grid), they had a pipe running in the middle of the roof on the rear of the house which looked stupid and unnecessary.
I spoke to them about it and they cheerfully redesigned and relocated the entire pipe. In the rain. In 30 degree weather. On top of the house. The install team took our concerns seriously and took care of the problem.
The Final Touches
After lugging the panels up all day (each panel weighs about 45 pounds) and mounting them, they took the time to level each of them so they were completely flat.
At one point a single panel in the middle of the lot was a bit out of place (not perfect) so one of the guys had to slide down the wet, cold, glass on his knees (getting soaked in the process), 30 feet above ground with just a line to keep him safe just to adjust the angle slightly. Those installers are hard core!
Electric Connection
I was surprised that SolarCity needed no access to the house (other than for bathroom breaks) to do the job. The entire connection for my house was on the outside. They needed to cut the power for about 45 minutes to connect into the mains but otherwise there was very little disruption.
The size of the installation required 3 inverters which they placed on the side of the house.
Next Steps
The process leading up to the install (3 part series) was frustrating and error-prone between the reluctant power company and the mistakes made by the out-of-touch engineers back at SolarCity corporate. But SolarCity’s installation team was nothing but first class, all the way. They knew their stuff, were very safety conscious and worked through some harsh conditions to get the job done, and done well. They restored my confidence in the decision I made and I’m confident again that things are going to work out well.
Now that the system is installed and ready to go we need to have the inspections done. SolarCity coordinates it all, but there’s a building inspection, an electrical inspection and then an inspection by the power company. Once all passes (in about 3-4 weeks) we’re given the green light to flip the switches and start putting that free energy from the sun to good use.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
