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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
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
